2359 Monetization Jobs - Page 44

To know more, check out work.hike.in. At Hike, we're building the Rush Gaming Universe 🎮 📲 💰 Introduction 📖 At Hike, we're revolutionizing gaming and tech by blending innovation and immersive experiences. With our foray into Web3 gaming, we're exploring uncharted territories to create products that redefine fun and ownership. Join us as we make waves in this exciting new frontier. Hike Code 📝( Our core cultural values ) The Hike Code is our cultural operating system. It is our set of values that guides us operationally on a day to day basis. We have 9 core values{​{:} } Top Talent in Every Role → Both a quest for greatness & shared values are important to us 🦸‍♂ ️ Pro-Sports Team → Strength-based, results driven with a "team-first" attitude ⚽ ️ Customer Obsession → We exist to delight our customers ? ? Innovation & Make Magic → Courage to walk into the unknown and pioneer new fronts ? ? Owner not a Renter → Proactive & radically responsible. Everyone is an owner ? ? Think Deeply → Clear mind, obsession to simplify & data-informed 🙇‍♀ ️ Move Fast → Ruthless prioritization & move fast 🙋‍♂ ️ Be curious & keep learning → Curiosity to acquire new perspectives, quickly 👨‍? ? Dream Big → Courage to climb big mountains ? ? Skills & experience we're looking for 👨‍? ? Final‑year B.Tech/M.S. student or recent graduate in CS, IT, Math, Stats, or related field | Top Talent in Every Rol e Solid programming abilities in Python with the ML/AI stack (NumPy, Pandas, Scikit‑Learn, TensorFlow) | Top Talent in Every Rol e Good grasp of Data Structures, Algorithms, and basic system‑design concepts | Top Talent in Every Rol e Coursework or projects demonstrating machine‑learning fundamentals (regression, classification, DL models, Agentic AI) | Be Insatiably Curious & Keep Improvin g Familiarity with SQL and eagerness to dive into data pipelines (Kafka, MongoDB, BigQuery, or similar) | Think Deeply & Exercise Good Judgemen t Ability to be self‑directed and learn quickly, with a strong desire to stay on top of the latest AI developments | Be Insatiably Curious & Keep Improvin g Comfort using AI tools—Cursor, GPT, Claude—to accelerate development | Move Fast & Be Dynami c Strong written and verbal communication skills; collaborative mindset | Pro‑Sports Tea m You will be responsible for ? ? Strategy- Work extensively on our Multi‑Agent AI Analytics System, expanding capabilities to deliver conversational insights at scal e Strategy- Design and iterate on ML models powering real‑time personalization, matchmaking, and churn predictio n Strategy- Drive experimentation that boosts engagement, retention, and monetization through user‑level intelligenc e Operations-Monitor real‑time data pipelines that feed anomaly detection, feature stores, and matchmaking service s Operations-Optimize and benchmark ML inference for live gameplay scenarios (spin‑the‑wheel rewards, sticker recommendations, GBM matchmaking ) Collaboration-Partner with product, backend, and design to turn insights into delightful player experience s Collaboration-Champion AI‑driven tooling and workflow automation across the tea m 💰 Benefits → We have tremendous benefits & perks. Check out work.hike.in to know mor e

Job Information Industry IT Services Date Opened 07/21/2025 Job Type Marketing Work Experience 2-4 years City Gurugram State/Province Haryana Country India Zip/Postal Code 122018 Job Description What we want: We are looking for an experienced and highly organized Influencer Onboarding Manager to lead the end-to-end onboarding process for influencers and creators across various platforms. The ideal candidate will have strong communication skills, a deep understanding of influencer marketing, and the ability to build lasting relationships with talent. Who we are: Vertoz (NSEI: VERTOZ), an AI-powered MadTech and CloudTech Platform offering Digital Advertising, Marketing and Monetization (MadTech) & Digital Identity, and Cloud Infrastructure (CloudTech) caters to Businesses, Digital Marketers, Advertising Agencies, Digital Publishers, Cloud Providers, and Technology companies. For more details, please visit our website here. IncrementX: IncrementX is the Vertical Audience Platform Representing Asian & Western Digital Publishers in a cross geography. We are the Programmatic Monetization and Brand Solutions Revenue Partner for Publishers. We provide a global sales force, partnerships & technology with unique expertise to minimize the surprises publishers face in cross geography and help Brands and Agencies in Reaching Niche Multicultural Audiences. What you will do: Identify, reach out, and initiate contact with potential influencers/creators across platforms (Instagram,YouTube, TikTok, etc.) Manage the onboarding journey—from initial outreach to contract signing, documentation, and orientation Educate influencers on brand expectations, campaign deliverables, platform guidelines, and compliance requirements Coordinate with legal and finance teams to ensure contracts, payments, and necessary documentation are complete on time Track and maintain influencer data including performance history, niche category, and audience demographics Foster long-term relationships with influencers by providing regular support, feedback, and engagement opportunities Work closely with the campaign, content, and strategy teams to align influencer talent with brand goals Optimize the onboarding process through automation, feedback loops, and reporting Shape Requirements Bachelor’s degree in Marketing, Communications, Media, or a related field 3+ years of experience in influencer marketing, talent management, or creator partnerships Strong knowledge of major social platforms and influencer ecosystems Excellent written and verbal communication skills Highly organized with attention to detail and ability to multitask Familiarity with influencer discovery platforms (e.g., Grin, CreatorIQ, Upfluence, etc.) is a plus Passion for digital content, social media trends, and the creator economy Shape Existing network or relationships with influencers/creators Experience with contract negotiations and influencer fee structures Data-driven mindset with basic knowledge of campaign KPIs Benefits No dress codes Flexible working hours 5 days working 24 Annual Leaves International Presence Celebrations Team outings

Drive Media & Ad Sales Revenue generation through On-Screen & Digital activation for leading industry categories like FMCG,Retail & Fashion,Real Estate,Education, Automobile etc. Leverage ominous pan screen presence across geographies Required Candidate profile Sales & Marketing professional,rich pedigree of driving a team for annual revenue generation of minm 20crs. across potential client sectors.Excellent connect with agencies,worked in Radio/TV/OOH.

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com. Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance's smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com. Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com. Who are we and What do we do? InMobi Group's mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company's 2018 World's Most Innovative Companies. What's the InMobi family like? Consistently featured among the "Great Places to Work" in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership, and are results-focused. We invite you to free yourself, dream big and chase your passion. What do we promise? We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission-critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training, and tools, cocktails at drink cart Thursdays, and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. Position Overview The Accelerate Platform team at InMobi is building a next-gen agentic orchestration system that empowers advertisers to run campaigns across demand platforms —while optimizing for business KPIs. Operating in startup mode within a scaled ecosystem, we prototype fast, validate quickly, and pivot based on real-world data. We're looking for a Product Marketing Manager to support the marketing efforts for the Accelerate product. This role is ideal for someone who enjoys diving deep into a single product, building sharp positioning, designing compelling materials, and collaborating cross-functionally to drive product success. What are we looking for? 1–4 years of experience in product marketing, strategy, consulting, or related roles (experience in adtech, martech ). Strong writing and storytelling skills — able to translate technical concepts into clear, compelling product narratives. Hands-on ability to create and design decks and materials using PowerPoint, Google Slides, or equivalent tools. Analytical mindset with a good understanding of how to connect product features with customer value. Strong attention to detail, ability to manage multiple projects, and work independently in a fast-paced environment. Collaborative and proactive — comfortable working across teams and driving clarity amidst ambiguity. What will you do? Customer-Centric Positioning & Insights Support the development of product positioning, messaging, and value propositions based on customer insights, product strengths, and competitive differentiation. Conduct research and collaborate with internal teams to understand customer needs, use cases, and market trends. Help synthesize customer feedback and competitive analysis to inform product marketing strategy and content. Go-to-Market Execution Collaborate with Product, Marketing, and Sales to support go-to-market planning for new features and releases. Build and maintain sales enablement materials such as pitch decks, one-pagers, FAQs, product briefs, and training content. Participate in launch readiness efforts — ensuring internal teams are aligned and equipped to bring the product to market. Content Development & Storytelling Create compelling, customer-focused content across a variety of formats: narrative decks, case studies, product explainers, internal docs , etc. Design and structure visually strong presentations and product narratives for customer-facing and internal use. Support creation of external-facing assets in collaboration with the marketing team (e.g., blogs, landing pages, webinar slides). Cross-Functional Collaboration Work closely with Product Managers, Sales, and Account Management to ensure consistent product stories across touchpoints. Be a connector between the product and commercial teams, helping bridge feature capabilities with customer-facing narratives. Help maintain internal documentation and support onboarding of new team members or stakeholders as needed. The InMobi Culture At InMobi, culture isn't a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

what is CRED? CRED is an exclusive community for India’s most trustworthy and creditworthy individuals, where the members are rewarded for good financial behavior. CRED was born out of a need to bring back the focus on a long lost virtue, one of trust, the idea being to create a community centered around this virtue. a community that constantly strives to become more virtuous in this regard till they finally scale their behavior to create a utopia where being trustworthy is the norm and not the exception. to build a community like this requires a community of its own; a community special in its own way, working towards making this vision come true. here’s a thought experiment: what do you get when you put a group of incredibly passionate and driven people and entrust them with the complete freedom to chase down their goals in a completely uninhibited manner? answer: you get something close to what we have at CRED; CRED just has it better. what will you do? crack aspirational brand partnerships, look for new opportunities, and brands which might not be a part of the existing plan create a systematic, process-driven approach to identify and go deeper into existing partnerships structure, negotiate, and execute partnership deals with brands and organizations across various categories plan and own monthly/quarterly supply & monetization goals with existing partner relationships deliver an excellent partner experience (partner NPS) when working with our organization, - you will represent CRED and be our partners’ liaison internally build relationships and manage partnerships with new brands to crack exclusive offerings for CRED members specifically when the merchant is in an incubation stage you should apply if you: have strong networking skills (cold calling, unique reach out strategies )have strong communication, client relations, and written skills have 2 - 4+ years of relevant experience, preferably in ad sales roles or partnerships/sales/business development (across industries)are an excellent negotiator; have outstanding communication and interpersonal skills are comfortable with data and research, to be able to map the potential of each brand, category, or industry are goal-oriented & thrive in high ownership, fast-paced, and independent environment hate taking no for an answer, but also know when it’s worth moving on

- Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning Amazon Ads is one of the fastest-growing businesses within Amazon and has become a major driver of profitability worldwide. We strive to help shoppers in their buying journey by showing them relevant ads that empower them to make informed buying decisions. We help our advertisers (i.e., suppliers on Amazon) promote their products, tell their brand story, highlight their USPs, and acquire new customers. We are looking for a Sr. Product Manager - Tech to lead the product portfolio impacting advertiser experiences and compliance for overall India advertising. The person will be expected to improve advertiser experience, enable business growth by providing multiple payment methods, and implement automated controllership in financial processes. Additionally, the person will also lead the full-funnel campaign creation and optimization product. Full-funnel advertising on Amazon aims to target customers across all journey stages (from awareness to loyalty) to help advertisers execute comprehensive strategies beyond lower-funnel activities. The product will have touchpoints across media planning, campaign creation, optimization during delivery, and performance reporting. The person is expected to work with various worldwide teams and will be responsible for launching India-first products globally, thereby creating larger impact on the overall Amazon growth flywheel. You will join a fast-paced team and work with cross-functional teams to design, build, and roll out products. Your role will be to work with internal and external stakeholders to devise a product strategy. You will have a dedicated engineering team that will help you build and implement your product roadmap. You will also be responsible for driving adoption of your product, setting up metrics and KPIs to measure success, and working with advertisers and program teams to identify product enhancements. Key job responsibilities -Identify India specific growth opportunities for the advertisement business, develop strategies to address them and drive initiatives that capitalize on these opportunities to further grow the business. -Create high quality, simple product roadmaps with both a near term (2-3 quarters) and long term view. -Develop detailed, crisp business requirements and user stories that can be used to create product specifications and architecture for each product and application. -Prioritize projects basis the right tradeoffs between shopper experience, advertiser experience and ad revenue. -Dive deep into data to identify opportunities to expand ad supply, coverage and ad monetization. -Work with sellers, brands, media agencies, global product development teams and software development teams to identify and prioritize requirements for product roadmap. -Manage all projects, including organizing and planning, estimating, managing resources, tracking projects, managing risk & opportunity, managing quality. -Solve advertiser and shopper pain points through product enhancements. Experience in using analytical tools, such as Tableau, Qlikview, QuickSight Experience in building and driving adoption of new tools Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

As the Chief Product & Technology Officer (CPTO) at our high-growth cloud services company based in Asia, you will be responsible for leading the product innovation and technology delivery. Your strategic ownership will encompass the entire product lifecycle, technology roadmap, and scaling of platforms catering to global enterprise clients. Renowned for our expertise in cloud optimization, cost control, and platform-based solutions, we are seeking a visionary leader to drive our offerings to new heights. Your primary responsibilities will include defining and executing product strategy and roadmap in alignment with business objectives. You will spearhead monetization efforts through pricing, packaging, and feature planning while overseeing engineering, product, and design teams to ensure timely, secure, and scalable technology delivery. Embracing cloud-based innovation using modern tech stacks and infrastructure standards, you will ensure that product development is customer-centric and aligned with market trends. Collaboration will be key in this role as you work cross-functionally with marketing, sales, operations, and customer success teams. By developing and tracking KPIs for both product performance and engineering velocity, you will drive continuous improvement and growth. Evaluating partnership, acquisition, and innovation opportunities will also be part of your mandate to propel the business forward. Our ideal candidate will possess over 15 years of experience in product and engineering leadership roles, with a strong background in cloud technologies such as AWS, GCP, and Azure, SaaS products, and platform strategy. Hands-on experience in agile product development and scaling product organizations is essential, along with a blend of engineering expertise and business acumen. Exceptional leadership, communication, and stakeholder management skills are a must, and prior experience in global or cross-border leadership roles would be advantageous. Join us in shaping the future of cloud services and driving innovation at scale.,

what is CRED? CRED is an exclusive community for India’s most trustworthy and creditworthy individuals, where the members are rewarded for good financial behavior. CRED was born out of a need to bring back the focus on a long lost virtue, one of trust, the idea being to create a community centered around this virtue. a community that constantly strives to become more virtuous in this regard till they finally scale their behavior to create a utopia where being trustworthy is the norm and not the exception. to build a community like this requires a community of its own; a community special in its own way, working towards making this vision come true. here’s a thought experiment: what do you get when you put a group of incredibly passionate and driven people and entrust them with the complete freedom to chase down their goals in a completely uninhibited manner? answer: you get something close to what we have at CRED; CRED just has it better. what will you do? crack aspirational brand partnerships, look for new opportunities, and brands which might not be a part of the existing plan create a systematic, process-driven approach to identify and go deeper into existing partnerships structure, negotiate, and execute partnership deals with brands and organizations across various categories plan and own monthly/quarterly supply & monetization goals with existing partner relationships deliver an excellent partner experience (partner NPS) when working with our organization, - you will represent CRED and be our partners’ liaison internally build relationships and manage partnerships with new brands to crack exclusive offerings for CRED members specifically when the merchant is in an incubation stage you should apply if you: have strong networking skills (cold calling, unique reach out strategies )have strong communication, client relations, and written skills have 2 - 4+ years of relevant experience, preferably in ad sales roles or partnerships/sales/business development (across industries)are an excellent negotiator; have outstanding communication and interpersonal skills are comfortable with data and research, to be able to map the potential of each brand, category, or industry are goal-oriented & thrive in high ownership, fast-paced, and independent environment hate taking no for an answer, but also know when it’s worth moving on

100X Growth Partners by Expertrons is looking for a transformative leadership role as a Business Co-founder / Revenue Co-founder . This is a unique opportunity for a seasoned, growth-driven professional to work alongside our founding team — IIT Bombay alumni and accomplished entrepreneurs — to shape and scale a high-impact business vertical. In this pivotal position, you will drive strategic execution, revenue expansion, and organizational growth, with full ownership of the P&L and long-term business direction. Key Responsibilities: 1. Revenue Strategy & Planning Define and execute the company’s revenue roadmap and monetization models. Set short- and long-term revenue goals aligned with business milestones. Develop pricing strategies and market-entry approaches. 2. Sales Leadership Build and lead the sales team from the ground up. Develop sales processes, funnels, and playbooks. Personally close key accounts, especially in early stages. 3. Business Development & Partnerships Identify and forge strategic partnerships to unlock new revenue channels. Develop B2B alliances, channel partnerships, or reseller networks. Manage key enterprise or high-value relationships. 4. Go-to-Market Execution Collaborate with the marketing and product teams to align GTM efforts. Launch campaigns to drive lead generation and sales conversion. Lead outbound strategies (cold outreach, account-based marketing, etc.) 5. Customer Success & Retention Drive post-sale engagement and upsell opportunities. Ensure strong onboarding, retention, and renewals. Translate customer feedback into revenue opportunities. 6. Metrics & Reporting Track, analyze, and report on sales KPIs (ARR, CAC, LTV, churn, conversion). Use data to iterate on revenue models and improve efficiency. Own forecasting and revenue projections for fundraising and planning. What We Offer: At 100X Growth Partners by Expertrons, we believe in building leaders by providing them with the right platform, autonomy, and challenges to drive meaningful impact. For the right candidate, this role goes far beyond a conventional C-suite designation. Here’s what we offer: High Ownership & Autonomy: You will have full P&L responsibility and the authority to drive business strategy, structure teams, and make high-impact decisions that directly shape the company’s future Collaborative Leadership Environment: Work directly with visionary founders, IIT Bombay alumni, and a high-performing leadership team with a strong entrepreneurial ethos. Business-Building Opportunity: Drive the growth of multiple revenue streams. Scale Potential: Build and scale revenue lines to ₹100 Cr+ in the next 2 years with a PBT of 20%. Equity/ESOP Potential: Get rewarded with long-term value creation through equity, reflecting the strategic importance of this role. Innovation-Driven Culture: Be part of a team that values experimentation, learning, and continuous improvement across all verticals. Growth: performance-based promotions (no timeline constraints). Benefits : Salary : Decent remuneration to start with until your vertical reaches a critical revenue point, after which there is an expected salary with a profit-sharing plan (with no upper limit) Equity Growth: ESOP allotments tied to milestone achievements, offering a structured path to wealth creation. Merit-Based Advancement: Career progression in terms of designation, compensation, incentives, and equity will be purely performance-driven, based on business vertical success — not tenure. Leadership Pathway: upon consistently achieving Rs. 2 crore/month in revenue over a 3-month period — recognizing leadership and business ownership. Work Location: Full-time, in-office role based in Mumbai. Who Should Apply: Ideal for professionals who: You thrive in dynamic, fast-paced environments and enjoy solving real business problems. You’ve independently scaled teams, partnerships, or business units. You think like a founder — strategic yet hands-on, outcome-focused, and growth-aligned. You want to co-own and co-create a business, not just manage one. Qualifications: Education : Ex-Founder and/or MBA from an Ivy League or Tier-I institute (e.g., IIM, ISB, INSEAD, Wharton, etc.) Experience : Experience in franchise operations, channel sales, or corporate partnerships with P&L ownership. Skills : Exceptional negotiation, presentation, and stakeholder management. Data-driven decision-making and analytical rigor. Entrepreneurial mindset with a bias for execution. Proven experience in sales or revenue roles, ideally in startups or SaaS. Founder-level ownership mindset with hands-on execution ability. Scaling from 1 to 100 in sales. Networking : Proven ability to engage with CXOs and investors. How to Apply: This is not just a leadership role; it’s your opportunity to co-build a high-scale business and leave a legacy in the growth story. We invite passionate and visionary leaders to apply. Please fill out this form to take the first step in joining a leadership journey with us: http://bit.ly/4kXky92

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com. Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance’s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com. Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com. Who are we and What do we do? InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. What’s the InMobi family like? Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership, and are results-focused. We invite you to free yourself, dream big and chase your passion. What do we promise? We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission-critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training, and tools, cocktails at drink cart Thursdays, and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. Position Overview The Accelerate Platform team at InMobi is building a next-gen agentic orchestration system that empowers advertisers to run campaigns across demand platforms —while optimizing for business KPIs. Operating in startup mode within a scaled ecosystem, we prototype fast, validate quickly, and pivot based on real-world data. We’re looking for a Product Marketing Manager to support the marketing efforts for the Accelerate product. This role is ideal for someone who enjoys diving deep into a single product, building sharp positioning, designing compelling materials, and collaborating cross-functionally to drive product success. What are we looking for? 1–4 years of experience in product marketing, strategy, consulting, or related roles (experience in adtech, martech). Strong writing and storytelling skills — able to translate technical concepts into clear, compelling product narratives. Hands-on ability to create and design decks and materials using PowerPoint, Google Slides, or equivalent tools. Analytical mindset with a good understanding of how to connect product features with customer value. Strong attention to detail, ability to manage multiple projects, and work independently in a fast-paced environment. Collaborative and proactive — comfortable working across teams and driving clarity amidst ambiguity. What will you do? Customer-Centric Positioning & Insights Support the development of product positioning, messaging, and value propositions based on customer insights, product strengths, and competitive differentiation. Conduct research and collaborate with internal teams to understand customer needs, use cases, and market trends. Help synthesize customer feedback and competitive analysis to inform product marketing strategy and content. Go-to-Market Execution Collaborate with Product, Marketing, and Sales to support go-to-market planning for new features and releases. Build and maintain sales enablement materials such as pitch decks, one-pagers, FAQs, product briefs, and training content. Participate in launch readiness efforts — ensuring internal teams are aligned and equipped to bring the product to market. Content Development & Storytelling Create compelling, customer-focused content across a variety of formats: narrative decks, case studies, product explainers, internal docs, etc. Design and structure visually strong presentations and product narratives for customer-facing and internal use. Support creation of external-facing assets in collaboration with the marketing team (e.g., blogs, landing pages, webinar slides). Cross-Functional Collaboration Work closely with Product Managers, Sales, and Account Management to ensure consistent product stories across touchpoints. Be a connector between the product and commercial teams, helping bridge feature capabilities with customer-facing narratives. Help maintain internal documentation and support onboarding of new team members or stakeholders as needed. The InMobi Culture At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com. Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance’s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com. Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com. Who we are & What do we do? InMobi Group’s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company’s 2018 World’s Most Innovative Companies. What’s the InMobi family like? Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results focused. We invite you to free yourself, dream big and chase your passion. What can we promise? We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. What is the team like? InMobi Supply Operations is often thought of as the engine room, and that's true we are also the brains that hook various systems together. Inherently, it is the information hub in the company. Supply Ops has their feet in both business & operational areas and learns to think about things from both perspectives, giving them a unique, consultative strength. The team has a key seat at the table from a strategic perspective and given the unique strength we possess; we are the people that really make a difference in the operational world. Role Overview We are looking for a detail-oriented and process-driven Quality Assurance Analyst (L1) to join our Rich Media Operations team. In this role, you will be responsible for validating and ensuring the functionality, compliance, and rendering quality of rich media ad creatives across platforms. This is an entry-level position ideal for someone with a keen eye for detail, a passion for digital media, and a strong sense of ownership over the user and client experience. What will you be doing? Perform manual QA on rich media ad creatives to ensure functionality across multiple devices, browsers, and environments. Validate ad formats for creative integrity, responsiveness, clickthrough behavior, and tracking pixel performance. Ensure adherence to specifications and platform guidelines before campaigns go live. Log and escalate creative issues with proper documentation using internal QA tools and dashboards. Collaborate closely with Creative Operations, Product, and Engineering teams to troubleshoot and resolve ad-serving bugs. Run checklists and test cases for standard ad units and custom rich media formats. Support rapid QA turnaround for high-priority campaigns while maintaining quality standards. Identify and suggest process improvements to optimize rich media QA workflows. What is expected from you? Bachelor’s degree in Computer Science, IT, Media, or related fields (or equivalent experience). 1-2 years of experience in Quality Assurance, Ad Operations, or Digital Advertising (freshers with relevant internship experience are welcome). Familiarity with ad platforms, HTML5 creatives, Javascript, Charleslog and browser dev tools is a plus. Basic understanding of ad trafficking, VAST tags, third-party tags, and tracking parameters. Strong analytical, problem-solving, and communication skills. Comfortable working in fast-paced environments with tight SLAs. High attention to detail and ability to spot inconsistencies or creative rendering issues. The InMobi Culture At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com. Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance’s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com. Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com. We are seeking a strategic and execution-focused Finance Lead to join our global AdTech team, responsible for the end-to-end finance process for advertising platform . As a key partner to the Product and Engineering teams , you will play a pivotal role in shaping and operationalizing the financial systems and workflows embedded in the product, ensuring a seamless, scalable, and compliant customer experience. Key Responsibilities Product Partnership & Platform Design Collaborate closely with Product, Engineering, and UX teams to design and build the financial flows and features within the self-serve portal—such as prepayment, invoicing, billing cycles, budget capping, credit management, and refunds. Define financial requirements and user stories related to O2C in the product roadmap and ensure timely implementation. End-to-End O2C Ownership Design, implement, and manage the Order-to-Cash lifecycle across geographies: Customer onboarding & verification Budget funding / Pre-paid wallet logic Invoicing, collections, and reconciliation Revenue recognition and deferred revenue tracking Partner with Tech and Ops teams to automate and scale all finance-related workflows. Financial Planning & Controls Build and maintain revenue forecasts, unit economics, and financial health indicators of the platform. Define KPIs such as billing accuracy, DSO, ad spend utilization, and customer balance aging. Ensure controls, audit trails, and exception handling mechanisms are in place. Strategic Business Partnering Act as the finance voice in product strategy discussions, ensuring commercial viability and operational readiness of platform features. Collaborate with legal, sales ops, and customer support to align on policy decisions related to pricing, refunds, dispute handling, etc. Qualifications CA / MBA in Finance or equivalent professional qualification. 3–6 years of experience in finance operations, product finance, or FP&A roles. Hands-on experience in Order-to-Cash (O2C) lifecycle in a digital or AdTech environment is a preferred. Experience working with product/engineering teams to embed finance logic into technology platforms. Familiarity with self-serve SaaS or ad platforms, digital payments, global taxation, and revenue recognition practices. Strong understanding of tools such as MSD, Chargebee, Stripe, Salesforce, or equivalent. Excellent problem-solving, stakeholder management, and communication skills. Preferred Background Previous experience in global AdTech, MarTech, or SAAS Exposure to multiple geographies with multi-currency, multi-entity environments. Prior involvement in platform builds or finance system migrations is a plus. The InMobi Culture At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace. Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!

We are seeking a multi-skilled, proactive, and dependable professional to lead and manage a hybrid role at Zee Studios Jaipur — one that spans client servicing , business coordination , live production execution , studio monetisation , and digital communication . This individual will act as a key liaison between clients, internal departments, and external vendors and digital brand custodian. From managing payments and legal contracts to enabling smooth shoot execution and posting updates on our social channels, this is a highly impact and entrepreneurial role. Key Responsibilities: 🎬 Production & On-Ground Execution Take complete ownership of the production lifecycle — from initial planning to on-ground execution — for live shows, concerts, branded content shoots, and large-format productions. Work closely with the operations and business heads to prepare and manage detailed production budgets , ensuring all planning and execution stays within internally approved financial parameters. Coordinate the design planning and production flow , aligning creative concepts with technical and logistical feasibility. Lead the shortlisting and finalization of vendors , ensuring timely closure of contracts and services based on quality, cost, and timeline. Prepare detailed execution plans including shoot schedules/live events , crew allocation, logistics movement, equipment requirements, and contingency planning. Ensure inter-departmental alignment (production, technical, creative, admin, finance) to maintain clarity, accountability, and timely delivery at every stage. Serve as the primary production lead during execution — managing on-site operations, solving real-time issues , and ensuring delivery as per client expectations and pre-approved scopes. Be available on-ground when required at shoots or live events to supervise end-to-end operations, coordinate across departments and vendors, and deliver high-standard outputs under pressure. 📞 Client Servicing & Relationship Management Serve as the single point of contact for clients and internal teams, ensuring consistent, professional communication and seamless coordination on all business-related queries. Understand client expectations and ensure deliverables are met in a timely, efficient manner. Maintain long-term client relationships and actively work toward repeat business and account growth. 📊 P&L Management & Reporting Prepare and maintain project-specific P&L statements , tracking costs and revenue to ensure profitability. Maintain well-structured Excel trackers, project dashboards, and internal documentation for approvals, payments, and deliverables. Prepare PowerPoint decks for internal and external presentations — including project pitches, performance reports, and client meetings. Coordinate closely with the finance team to manage and maintain client-related financial matters , including invoicing, payment follow-ups, and reconciliations, ensuring accuracy and timely processing. 🧾 Business Operations & Legal Coordination Manage the vendor & client registration process from end to end, ensuring compliance, approvals, and timely onboarding. Coordinate closely with the legal department by providing inputs and context for contract drafting. Review legal drafts, highlight potential gaps, and ensure agreements are signed by clients and vendors on time. Handle client and vendor payments , including follow-ups, internal coordination, and reconciliations. Ensure adherence to internal approval workflows and operational policies. 🏢 Studio Asset Monetization & Representation Promote and coordinate the rental of studio spaces (on a daily/monthly basis) to clients, producers, and partners. Oversee the rental process for in-house shoot equipment , including pricing, bookings, and asset tracking. Handle all client calls professionally, conduct on-site presentations for visiting clients, and effectively communicate the business opportunities available within the campus to drive interest and conversions. Represent Zee Studios Limited (ZSL) as a line producer for external productions — offering services such as crew and technical support, logistics management, and vendor coordination. Act as a frontline representative for Zee Studios Jaipur for any external production use of the premises and equipment. 📱 Social Media Management Independently manage Zee Studios Jaipur’s social media accounts (e.g., Instagram, LinkedIn, Facebook). Create and post relevant, visually appealing content showcasing the studio’s work, behind-the-scenes moments, and recent collaborations. Use content to engage existing clients and attract new business inquiries through consistent digital presence. Monitor platform analytics and refine posting strategies to enhance reach and engagement. Skills & Qualifications: Graduate/Postgraduate in Business Administration, Media, Communications, or related field. 4–6 years of experience in client servicing, production, or business operations in the media/events/entertainment industry. Strong understanding of vendor registration, payment coordination, contract execution, and compliance protocols. Hands-on experience in on-ground production support for live shows and events . Working knowledge of Microsoft Excel (for budgets, trackers) and PowerPoint (for decks, reports). Comfortable managing professional social media content and engagement . Exceptional interpersonal and communication skills — written and verbal. A team player with ownership mindset , strong follow-through, and the ability to juggle multiple responsibilities effectively. Passionate about the media and entertainment industry, with a strong inclination to grow and lead within the organization. Qualifications [Some qualifications you may want to include are Skills, Education, Experience, or Certifications.] Example: Excellent verbal and written communication skills

Job Title: Chief Operating Officer (COO) – Part-Time (Equity-Based) Company: She Breaks Barriers Location: Remote Compensation: Equity-Based (No Salary at This Stage) Commitment: 10–20 hours/week About She Breaks Barriers She Breaks Barriers is a mission-driven initiative designed to empower women through four key verticals: Content (media, storytelling, and narratives) Support Systems (community, mentorship, wellness) Incubation (startup and professional development) E-Commerce (products built by or for women) We are at an early stage and seeking passionate, driven individuals who want to co-create long-term impact with a scalable vision and purpose. Role Overview As COO, you’ll work closely with the Founder to build and scale operations across all four verticals. Your focus will be on creating sustainable systems, streamlining workflows, and executing strategy with precision and agility. This role is ideal for someone who thrives in a startup environment, believes in women’s empowerment, and is looking for high-impact leadership opportunities in exchange for equity. Key Responsibilities Strategic Operations: Translate vision into execution by designing and managing operational frameworks across content, community, incubation, and commerce. Team Leadership: Recruit, coordinate, and manage cross-functional volunteer and part-time teams (content, tech, design, outreach). Process Development: Establish SOPs, KPIs, project timelines, and workflow automation across verticals. Partnerships & Programs: Co-lead implementation of collaborations, fundraising events, and accelerator programs. Financial Oversight: Support in budgeting, equity allocation frameworks, and long-term monetization planning. Product Development Oversight: Coordinate go-to-market strategies for e-commerce and community platforms. Who You Are 5–10+ years of experience in operations, strategy, or startup management. Prior leadership in early-stage startups or mission-led organizations (preferred). Excellent project management, communication, and team-building skills. Strategic thinker with a builder’s mindset – comfortable wearing multiple hats. Strong belief in gender equity, entrepreneurship, and innovation. Willing to commit time, energy, and skills in exchange for future value (equity). What We Offer Founding team-level equity stake in a vision-driven brand. A chance to build and scale a platform for real societal impact. Full freedom to shape how the organization functions. Future opportunity for full-time leadership role or exit via acquisition/investment.

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team The Lowe’s Business Intelligence team delivers valuable insights to our Marketing partners. The team delivers quality analysis and reports that show the deep understanding of each of the campaign performance, plus helps the cross functional teams in the campaign planning process, ultimately contributing towards winning the clients and be part of insight led selling. Job Summary As a Manager, Growth Insights on Lowe's Media Network (LMN) Insights team, you will lead the team responsible for uncovering and delivering actionable customer, category, and seasonal insights that unlock incremental growth opportunities for both Lowe's and its top-tier vendor partners. In this high-impact role, you will design and scale a robust insights framework that translates complex data into compelling external-facing narratives—fueling vendor sales pitches, strategic media planning, and enterprise marketing decisions. You will champion the use of advanced analytics techniques (e.g., clustering, seasonality modeling, new-to-brand analysis) to identify untapped revenue potential and help vendors "money map" new paths to growth through Lowe's. Working cross-functionally with internal stakeholders and vendor partners, you'll turn data into stories that drive strategic investments and elevate Lowe's position as a uniquely valuable retail media partner. Reporting to LMN Insights leadership, you will combine strategic thinking, data fluency, and storytelling expertise with strong leadership and coaching abilities to guide your team and shape the future of insights-led growth across the organization. Roles & Responsibilities Core Responsibilities: Partner with cross-functional teams—including Enterprise Marketing, Digital, Finance, LMN Client Services, Insights, and Go-to-Market Monetization—to uncover and activate sellable seasonal, audience, and category insights. Develop and deliver innovative, external-facing collateral that positions Lowe’s and its strategic customer initiatives as market leaders in the home improvement and retail media space. Analyze and synthesize data from multiple sources, applying data visualization best practices to tell compelling, actionable stories that drive vendor engagement and investment. Define and implement a scalable strategy and cadence for producing recurring, high-impact seasonal insights, while maximizing distribution through internal and external channels. Design, execute, and summarize research studies using both qualitative and quantitative methods, customer segmentation models, and advanced analytics techniques. Collaborate with insights leadership to develop and execute a robust testing and primary research agenda that strengthens client relationships and uncovers incremental revenue opportunities. Effectively manage and coach a global team of analysts and senior analysts, overseeing work allocation, execution quality, and professional development. Socialize learning plans and research outputs with the LMN Insights Director to ensure strategic alignment, collaboration, and business impact. Monitor and incorporate competitive and market dynamics into insight deliverables, ensuring relevance and differentiation in a rapidly evolving industry landscape. Advocate for Lowe’s customers by embedding a customer-first perspective into all insights, helping business partners understand and act on customer needs. Stay current with industry best practices in research, customer data tools, methodologies, and emerging technologies to enhance insight development and delivery. Promote continuous improvement by democratizing data access, optimizing workflows, and leveraging automation and technology to reduce manual tasks and increase efficiency. Years Of Experience 8-12 years Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's Degree Business, Marketing, Finance, Statistics, Econometrics, Information Sciences, Applied Quantitative or related field Skill Set Required Primary Skills (must have) Key Skills: People Manager/Mentorship (min 2 yrs), Stakeholder Management, Marketing Analytics, Market Research, Campaign Performance, Retail Media, Campaign Optimization, CTR, ROAS, A/B Testing, Media Insights Experience in Analytics positions (retail Media Network, Digital Marketing, Customer analytics preferred) with Experience in using predictive analytics and similar concepts. Proficient in BI and analytics tools like Power BI, Tableau, SQL. Strong skills in SQL and working knowledge of databases including Teradata, Hadoop. Ability to work with large amounts of data and summarize at an executive level. Strong communication skills with the ability to tailor content to different levels across the organization using data to highlight a problem, an opportunity, or summarize performance. Self-starter with the ability to work with minimal direction and forge strong working relationships in a highly cross-functional environment to drive results. Strong statistical skills, the ability to measure isolated tests or incremental studies. Secondary Skills (desired) Experience in Retail environment Experience of working in Global environment Knowledge of machine learning and advanced analytics using tools including R and Python Experience in omni channel retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

Description Advertising enables monetization on all of Amazon's commerce and content sites worldwide, and is a strategic bet. Our guiding principle is to deliver the right ad to the right customer at the right time. This enhances both the customer experience and, in the long run, our advertisers' return on investment. We create only high quality advertising products that are valuable to advertisers and customers alike, and increase customer discovery on the Amazon site. Our team offers a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach customers on web-based shopping portal, and on millions of mobile and tablet devices. Customer-centricity is our core principle, guiding everything we do, including our approach to advertising. If you’re obsessed with being a part of digital advertising that informs instead of interrupts; that helps customers deliver great products and brands, not just delivers impressions; and that empowers customers to be decisive, rather than distracts them – then we want you to come join us and make advertising even better. We are a motivated, collaborative and fun-loving team building a high growth business. We are entrepreneurial and have a bias for action and a broad mandate to experiment and innovate. This role offers an opportunity to make a significant impact on the future vision for Amazon. This position is based at Amazon India in Bangalore. We are looking for a hands-on, detail-oriented, highly-motivated Ads Account Manager who is a problem solver at their core and is able to deliver on advertising priorities for their advertisers. Key job responsibilities Build solid relationships with advertisers, displaying a dedication to delivering first-class service and advertising solutions Flawlessly execute end-to-end campaigns, liaising with advertisers to align to advertiser priorities. Effectively align spends for defined cadence (week / month/ quarter / sale event) Analyze campaign performance against key metrics to identify, recommend, and implement optimizations to increase efficiency, drive high renewal rate and meet advertisers KPIs Keep regular track of defect metrics (like high ACoS) and ensure a timely nudge to advertiser for course-correction. Monitor and communicate campaign progress to the advertiser through regular, in-depth activity reports and insights, using this knowledge as a basis for future campaigns Track & Own the Ad Revenue goals for the set of advertisers being managed and deploy different ad-product strategies to exceed goals/cover for gap to goal in case needed. Leverage our suite of rich data, targeting and product channels to collaborate with the other teams in the development of tailored solutions that meet clients’ goals Co-lead monthly and quarterly performance reviews with advertisers Drive operational excellence to ensure SLA adherence and client satisfaction Basic Qualifications Bachelor's degree with 2+ experience in SEM/ business development/sales within E-Com/Ad agency/E-com service provider domains Ability to effectively communicate his/her thoughts in a well-organized manner Strong Excel and PowerPoint skills Strong analytical skills Ability to work cross-functionally with a wide range of employees with different skill sets Preferred Qualifications 2+ years proven experience in ad operations & ad sales, online marketing/online ad sales or programmatic advertising 2+ years working in an external client facing environment involving aspects of business development Advanced Excel / Power BI skills with ability to write SQL queries for data extraction purposes Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ASSPL - Karnataka Job ID: A3038002

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Experience : 3.00 + years Salary : USD 2222-2592 / month (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Contract for 3 Months(40 hrs a week/160 hrs a month) (*Note: This is a requirement for one of Uplers' client - PvX Partners) What do you need for this opportunity? Must have skills required: Gaming, CAC, LTV, ROAS, Scikit-learn, UA Metrics, Data Science, Python, SQL PvX Partners is Looking for: Data Scientist – ROAS Forecasting Location: Remote Experience: 3–4 years Company: PvX Partners About PvX Partners PvX Partners is a global leader in performance marketing for mobile games and apps. We combine deep domain expertise with cutting-edge AI to optimize user acquisition campaigns for some of the world’s most innovative gaming and app companies. Our data intelligence platform leverages advanced machine learning to analyze performance signals, benchmark outcomes, and forecast returns, helping clients scale profitably and outperform their competition. At PvX, we value entrepreneurial spirit, creativity, and a proactive mindset. Join us and be part of a team that pushes boundaries at the intersection of technology, data, and marketing. The Role We are looking for a Data Scientist with 3–4 years of hands-on experience to drive development of forecasting models for Return on Ad Spend (ROAS) across gaming and consumer app companies. This is a high-impact role where you will analyze large-scale marketing and monetization datasets, develop predictive models, and create evaluation frameworks to guide investment decisions. You’ll work closely with product, engineering, and finance teams to translate business goals into robust, data-driven solutions. If you’re passionate about performance marketing, forecasting models, and enjoy solving problems that are both technical and strategic—this role is for you. You Will Build predictive models to forecast monthly ROAS over key time horizons (e.g., M1, M3, M6, M12) using historical cohort performance data. Identify and incorporate leading indicators such as CPI, CTR, early retention (Day 1–Day 7), and channel mix, and lagging indicators such as cumulative revenue, payback curves, and seasonal trends. Own the end-to-end modeling workflow: cohort creation, feature engineering, model development, backtesting, and deployment. Develop model evaluation frameworks to assess prediction quality over time—using metrics like MAPE, RMSE, and directionality accuracy. Build scenario-based tools that help stakeholders understand upside/downside impacts of marketing spend on long-term returns. Customize modeling approaches across game genres, monetization strategies (IAP vs IAA), and geographies—adapting to different client contexts. Collaborate with internal product, engineering, and client-facing teams to translate forecasts into actionable investment decisions. Document assumptions clearly and drive continuous improvements to model performance based on real-world feedback and new data. You Need 3–4 years of experience building and deploying machine learning models, preferably in marketing, gaming, or consumer tech domains. Solid understanding of ROAS, CAC, LTV, and related UA metrics—ideally with experience working with attribution data (MMPs like Appsflyer, Adjust, etc.). Proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, Prophet, PyMC3, or LightGBM). Experience in building and maintaining end-to-end data pipelines using SQL, Airflow, or similar orchestration tools. Strong statistical intuition and experience with model evaluation techniques (e.g., cross-validation, backtesting, MAPE/RMSE). High degree of ownership, adaptability, and willingness to work across multiple client contexts with varied problem statements. Bonus points for familiarity with monetization models (IAP vs IAA), channel-level performance dynamics (Meta, Google, Unity, Applovin, etc.), and ROAS decay curves Engagement Type: 3 Month Fulltime Contract Job Type: Contract Location: Remote Working time: 10:00 AM to 7:00 PM Interview Process: 3 Rounds How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!