8 Experimentation Frameworks Jobs

About Us: HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. About the Role: We are seeking an Engineering Manager AI Growth to lead the engineering efforts that fuel adoption, distribution, and monetisation of our AI products. This team will own the systems and features that directly drive revenue, usage, and ecosystem growth, including pricing, subscriptions, marketplace, partner dashboards, and data-driven growth initiatives. You will partner closely with Product, Marketing, and Partnerships to experiment rapidly, scale what works, and ensure the success of AI builders, agencies, and SMBs on our platform. Requirements: 8+ years of engineering experience, with 2+ years in management Proven track record in growth engineering, monetisation systems, or marketplace platforms Strong knowledge of subscription billing, entitlements, and payments Experience working on growth experiments (A/B testing, distribution levers, campaign tech) Hands-on experience with Node.js and front-end frameworks (Vue.js/React/Angular) Excellent leadership, cross-functional collaboration, and execution skills Data-driven mindset; familiarity with analytics, growth metrics, and experimentation frameworks Responsibilities: Mentor and coach individuals on the team Perform evaluations and give feedback to help them progress Planning for fast and flexible delivery by breaking down into milestones Increase efficiency by patterns, frameworks and processes Improving product and engineering quality Help drive product strategy Design and plan open-ended architecture that are flexible for evolving business needs Team-Specific Focus Areas: Monetization: Pricing experiments, subscription tiers, billing promos, AI Employee, and usage-based models. Distribution: AI Agent Marketplace, Snapshots Growth Campaigns: Contests, promotions, and ecosystem-wide initiatives Partner Ecosystem: Tools, dashboards, and reporting for agencies & partners Data-Driven Growth: Build data infrastructure to analyze adoption, usage patterns, and optimise growth levers EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision. Show more Show less

As a Data Product Manager at our company based in Mumbai, you will play a crucial role in driving the development of data-driven products that align with our business objectives. Your responsibilities will involve collaborating with data engineers, analysts, and stakeholders to build and scale data-powered solutions. By defining and executing the data product roadmap, you will ensure that our data strategy meets both company goals and customer needs. Additionally, you will work on developing product features that enhance data accessibility, analytics, and AI/ML adoption. It will be your responsibility to integrate data-driven insights into products and decision-making processes while ensuring compliance with data governance, privacy, and security regulations such as GDPR and CCPA. Optimizing data pipelines, analytics platforms, and real-time data processing capabilities will also fall under your purview. Defining key performance indicators (KPIs) and success metrics to measure product performance and impact will be vital, as well as effectively communicating data strategies, insights, and product updates to leadership and stakeholders. To excel in this role, you should have 3-7 years of experience in product management, data analytics, or related fields. A strong understanding of data infrastructure, ETL pipelines, and data modeling is essential. Proficiency in SQL, Python, and data visualization tools like Tableau and Power BI is required. Familiarity with cloud platforms such as AWS, GCP, or Azure for data management is a plus. Your ability to translate business needs into data product features and roadmaps, along with excellent communication skills and experience in working with cross-functional teams, will be key to your success. Preferred qualifications include prior experience in data-driven SaaS, AI/ML products, or business intelligence platforms. Knowledge of Big Data technologies like Snowflake, Apache Spark, and Databricks, as well as experience with A/B testing, experimentation frameworks, and customer analytics, will be advantageous. An understanding of data monetization strategies and data-as-a-service (DaaS) models is also desirable. In return, we offer a competitive salary with performance-based incentives, the opportunity to work on cutting-edge data and AI-driven products, flexible working hours with remote/hybrid options, and learning and development opportunities with mentorship from senior leadership. If you are passionate about driving data product innovation and are eager to make a significant impact, we invite you to join our team as a Data Product Manager in Mumbai.,

Role Overview As the Senior Product Manager, you will work directly with the founders to build and scale our core product. You&aposll be responsible for translating our vision into a successful market offering, managing the entire product line and ensure that we hit key milestones. What you will be doing Shape Product Strategy Define product roadmap for our AI-powered platform serving thousands of students Drive strategy that directly impacts student acceptance rates and business growth Identify high-impact opportunities through student behavior analysis and market insights Drive Cross-Functional Execution Own product delivery from concept to launch across Engineering, Design, and Data teams Lead sprint planning, prioritization, and release management Translate business needs into detailed specs and drive stakeholder alignment Optimize Student Success Own conversion funnels from onboarding to university acceptance Design experiments to continuously improve application success rates Develop premium features that enhance outcomes and drive revenue Scale for Growth Support expansion into new student segments and geographies Design scalable solutions for diverse student profiles and international requirements Analyze competitive landscape to maintain market leadership What makes you an ideal person This makes you a fit 5-7 years product management experience with measurable impact on user outcomes Track record in B2C tech products, preferably EdTech or marketplaces Strong analytical mindset with expertise in data-driven decisions Proficiency in analytics tools (Mixpanel, Amplitude, GA) Experience with A/B testing and experimentation frameworks This sets you apart Experience with international education, study abroad programs, or university admissions If you have studied abroad - undergrad or postgrad doesnt matter. Background in launching and scaling new products in the Indian market If you have been a founder yourself, Ex founders are preferred. Understanding of Indian higher education and student aspirations Knowledge of international university admissions processes preferred Why you should join us Impact you will create Directly influence thousands of students' academic trajectories Work on mission-critical products that create life-changing opportunities See measurable impact through student success stories Growth you can expect High-growth startup environment with rapid learning opportunities Direct collaboration with founders and leadership team Build and lead product teams as we scale Product management,A/B testing Show more Show less

Description Why does your role matter ????? In the fast-moving world of real-money gaming, success isn't defined by the number of games - it's defined by the quality of experience. What keeps players coming back isn't just gameplay - it's trust, ease, and the thrill of a seamless win. As a Senior Product Manager, your mission is to transform an already successful product into a daily habit - intuitive, rewarding, and always one step ahead of user expectations. With $480M+ annual gaming volume and 5M+ MAU already achieved, you'll be at the forefront of scaling what works while pioneering new features that define how India plays. You'll navigate the unique complexities of the Indian market - from diverse payment preferences across tier cities to building trust in real-money gaming - while maintaining our position as the market leader. You won't just be building things from scratch- you'll be powering growth by levelling up what already works. From simplifying flows to launching high-impact features, every decision you make will shape how millions across India engage with Hike Gaming Nation. As a senior member of the product team, you'll also shape product culture and mentor the next generation of PMs. Introduction ???? At Hike, we're building the Hike Gaming Universe ???? ???? We're taking gaming, one of the fastest-growing segments of entertainment in India, and converting it into a brand new source of economic opportunity. We're building a new kind of game economy where players can play, earn & grow Hike Code ????( Our core cultural values ) The Hike Code is our value system. We aim to live and breathe by these every single day. They inspire us to be the best we can be and they are weaved into every part of our decision-making, how we review performance and much more. We have 9 core values: Top Talent in Every Role ? Both a quest for greatness & shared values are important to us ??????? Owner not a Renter ? Proactive & radically responsible. Everyone is an owner ???? Pro-Sports Team ? Strength-based, results-driven with a team-first attitude ?? Customer Obsession ? We exist to delight our customers ???? Think Deeply & Exercise Good Judgement ? Clear mind, obsession to simplify & data-informed ??????? Build & Make Magic ? Courage to walk into the unknown and pioneer new fronts ???? Be Insatiably curious & keep Improving ? Curiosity to acquire new perspectives, quickly ????????? Move Fast & Be Dynamic ? Ruthless prioritization & move fast ??????? Dream Big, Be Bold & Think Long Term ? Courage to climb big mountains ???? What We're Looking For 6-8 years of product management experience, ideally in gaming, skill gaming, or consumer-tech I Top Talent in Every Role Experience with mobile-first products strong grasp of user funnels and engagement loops specifically for Indian users across tier 1-3 cities I Top Talent in Every Role Strong understanding of game economies, player motivations, and monetization models with proven ability to balance player value with business outcomes I Top Talent in Every Role Experience presenting to and influencing Executive-level stakeholders | Top Talent in Every Role Track record of driving growth and retention in a live product (1?100 phase) with measurable impact on key metrics I Owner not a Renter Track record of influencing product direction at organizational level | Owner not a Renter Sharp instincts for product prioritization a bias for action and ruthless focus with ability to make complex trade-offs I Move Fast & Be Dynamic Strong sense of user empathy with ability to deeply understand Indian player psychology, trust factors, and regional behaviors I Customer Obsession Ability to translate business goals into product outcomes while maintaining delightful user experiences I Build & Make Magic Hands-on experience working with cross-functional teams (engineering, design, marketing, data) with proven ability to influence without authority at senior levels I Pro-Sports Team Experience driving product strategy across multiple workstreams or product areas | Think Deeply & Exercise Good Judgement Experience in A/B testing, experimentation frameworks, and analytics tools with data-driven approach to decision making I Top Talent in Every Role Comfort working in fast-paced, ambiguous environments with distributed teams while maintaining high quality bar I Move Fast & Be Dynamic Proven ability to mentor junior PMs and contribute to product org development | Pro-Sports Team Hands-on experience building AI-powered features in consumer products | Build & Make Magic Ability to collaborate with data science teams and translate ML capabilities into product features | Pro-Sports Team Understanding of AI/ML fundamentals and their application in gaming contexts | Think Deeply & Exercise Good Judgement What You'll Do ???? Strategy ? Own the product vision and strategy, working closely with leadership to define long-term goals for Hike Gaming Nation Strategy ? Improve and scale the core product experience - from gameplay to payments Strategy ? Define and track key metrics - retention, ARPU, session time, churn - and act on insights with hourly/daily/weekly reporting cadence Strategy ? Conduct deep user research and competitive analysis to identify new product opportunities Strategy ? Stay ahead of RMG trends, compliance needs, and platform best practices Strategy ? Develop product strategy for different user segments (casual vs pro players, tier 1 vs tier 2/3 cities) Strategy ? Create product roadmap aligned with Indian cultural moments (IPL, festivals) that impact engagement Strategy ? Lead strategic planning and drive alignment across multiple teams Strategy ? Define product principles and frameworks that guide decision-making across the team Strategy ? Identify AI opportunities that enhance player experience and business metrics Innovation ? Run experiments to test hypotheses across onboarding, retention, and monetization with focus on statistical significance Innovation ? Drive experimentation at scale - from onboarding flows to rewards systems Innovation ? Champion the voice of the player in every decision made through regular user interviews and feedback loops Innovation ? Pioneer India-first features (vernacular support, regional game preferences, local payment methods) Innovation ? Innovate on trust-building mechanisms for first-time RMG users Innovation ? Identify and drive breakthrough opportunities that can 10x impact Operations ? Collaborate with Rev Ops, Growth and Marketing to drive user engagement and reactivation through data-driven campaigns Operations ? Identify and fix key friction points across the user journey with focus on payment success rates and depsit/withdrawal experience Operations ? Partner with Design and Engineering to ship high-quality, impactful features on aggressive timelines Operations ? Launch new features, iterate quickly, and use data to optimize performance with post-launch monitoring Operations ? Identify and resolve user pain points - make the experience frictionless especially for new-to-RMG users Operations ? Write comprehensive PRDs with clear success metrics and edge cases Operations ? Manage feature rollouts with phased approach (beta ? staged ? full launch) Operations ? Coordinate with customer support to understand user issues and iterate quickly Operations ? Own product operations metrics - crash rates, load times, payment success rates Operations ? Drive process improvements that increase team velocity and quality Operations ? Own relationships with key platform partners (Apple, Google) and payment providers Leadership ? Own & present product insights and strategy to senior leadership Leadership ? Build strong relationships with key stakeholders across functions and influence product direction Leadership ? Lead hiring and building world-class product team & Mentoring junior PMs to help them grow their careers Leadership ? Share learnings and best practices across the product organization Benefits ? At Hike, we offer competitive compensation, exciting global exposure, and a chance to be part of something truly transformative. Learn more at

Branch delivers world-class financial services to the mobile generation with offices in the United States, Nigeria, Kenya, and India. As a for-profit socially conscious company, Branch utilizes data science to reduce the cost of delivering financial services in emerging markets, aiming to provide fair financial access to everyone worldwide. The rapid expansion of smartphones offers the emerging middle class the opportunity to access banking options and achieve financial flexibility. Branch is led by a mission-driven team under the founder and former CEO of Kiva.org, providing a rich opportunity for team members to contribute to meaningful growth in evolving markets. With a Series C announcement in 2019 and over $100M in funding from prominent Silicon Valley firms, including Andreessen Horowitz, Trinity Capital, Foundation Capital, Visa, and the International Finance Corporation (IFC), Branch is dedicated to driving financial inclusion. As Branch embarks on launching Branch Lending Lab, a new team focused on exploring and validating the next suite of lending products, they are seeking a founding Lead to head this initiative. The Lead will collaborate closely with senior leaders in product, engineering, credit, and marketing to foster new ideas, conduct experiments, and determine scalable solutions at the intersection of product strategy and entrepreneurial exploration. Responsibilities: - Build and lead a small, high-caliber innovation team dedicated to early-stage prototyping and validation - Collaborate cross-functionally to test ideas and deliver working prototypes swiftly - Define experiment criteria, document learnings, and make data-driven decisions - Ensure alignment with Branch's long-term mission, vision, and technical capabilities Qualifications: - 5+ years of entrepreneurship or innovation leadership experience with a focus on building 0-1 products in startup or venture settings - Prior experience in consumer-facing products, preferably in financial services - Proficiency in experimentation frameworks, lean product development, and strong technical acumen - Excellent communication and collaboration skills across distributed teams - Resourcefulness, adaptability, and ability to thrive in a fast-paced, team-oriented environment Benefits of Joining Branch International: - Mission-driven, fast-paced, and entrepreneurial work environment - Competitive salary and equity package - Collaborative and flat company culture - Remote-first work setup with occasional in-person options - Comprehensive benefits package including medical and accidental insurance, paid time off, parental leave, and professional development opportunities - Team events, social gatherings, and global travel opportunities Branch International is an Equal Opportunity Employer, committed to diversity and inclusion in the workplace. If you are passionate about driving financial inclusion and innovation, we encourage you to apply regardless of meeting all the qualifications listed.,

Job Title: Senior Data Scientist Intelligent Offer Management Location: Bangalore (3 days work from office) Type: Hybrid Full-time (On-Site) Experience Level: 36 years About the Role: We are hiring a Data Scientist to lead and scale our Intelligent Offer Management engine a key pillar of our revenue optimization strategy. This role sits at the intersection of data science, pricing strategy, product thinking, and experimentation, enabling personalized, dynamic, and contextual offer decisions at scale. You&aposll work closely with product managers, business teams, and engineers to build models that recommend the right offer to the right customer at the right time. Key Responsibilities: Leverage recommender system techniques to enhance offer relevance, ensuring contextual personalization across customer segments. Design and implement real-time offer recommendation models using historical purchase, engagement, and behavioral data. Develop algorithms for dynamic pricing, offer personalisation, segmentation, and discount optimisation. Collaborate with cross-functional stakeholders to translate business requirements into data science solutions. Conduct A/B and multivariate experiments to evaluate offer performance and optimise offer strategies. Build predictive models for conversion propensity, elasticity curves, and uplift measurement. Package models for production deployment, ensuring scalability, performance, and monitoring. Influence product design and customer journeys with data-driven insights. Must-Have Qualifications: 3-6 years of experience in data science, quantitative analytics, or pricing strategy roles. Proficiency in Python and SQL, with experience in building, validating, and deploying ML models. Deep understanding of offer science, pricing elasticity, behavioural economics, and incentive systems. Strong business acumen with the ability to balance accuracy with impact and speed. Experience working with experimentation frameworks and statistical inference. Ability to communicate complex insights effectively to both technical and non-technical stakeholders. Show more Show less

As a Data Scientist at our company, you will play a crucial role in supporting the development and deployment of machine learning models and analytics solutions that enhance decision-making processes throughout the mortgage lifecycle, spanning from acquisition to servicing. Your responsibilities will involve building predictive models, customer segmentation tools, and automation workflows to drive operational efficiency and improve customer outcomes. Collaborating closely with senior data scientists and cross-functional teams, you will be tasked with translating business requirements into well-defined modeling tasks, with opportunities to leverage natural language processing (NLP), statistical modeling, and experimentation frameworks within a regulated financial setting. You will report to a senior leader in Data Science. Your key responsibilities will include: - Developing and maintaining machine learning models and statistical tools for various use cases such as risk scoring, churn prediction, segmentation, and document classification. - Working collaboratively with Product, Engineering, and Analytics teams to identify data-driven opportunities and support automation initiatives. - Translating business inquiries into modeling tasks, contributing to experimental design, and defining success metrics. - Assisting in the creation and upkeep of data pipelines and model deployment workflows in collaboration with data engineering. - Applying techniques such as supervised learning, clustering, and basic NLP to structured and semi-structured mortgage data. - Supporting model monitoring, performance tracking, and documentation to ensure compliance and audit readiness. - Contributing to internal best practices, engaging in peer reviews, and participating in knowledge-sharing sessions. - Staying updated with advancements in machine learning and analytics pertinent to the mortgage and financial services sector. Qualifications: - Minimum education required: Masters or PhD in engineering, math, statistics, economics, or a related field. - Minimum years of experience required: 2 (or 1 post-PhD), preferably in mortgage, fintech, or financial services. - Required certifications: None Specific skills or abilities needed: - Experience working with structured and semi-structured data; exposure to NLP or document classification is advantageous. - Understanding of the model development lifecycle, encompassing training, validation, and deployment. - Familiarity with data privacy and compliance considerations (e.g., ECOA, CCPA, GDPR) is desirable. - Strong communication skills and the ability to present findings to both technical and non-technical audiences. - Proficiency in Python (e.g., scikit-learn, pandas), SQL, and familiarity with ML frameworks like TensorFlow or PyTorch.,

Do you want to be a part of a team that is revolutionizing the global economy Join the dynamic Data & Decision Science (D&DS) team at C2FO, a leading online platform for working capital with a presence in over 160 countries and serving more than $10.5 trillion in annual sales. Based in Kansas City, C2FO has a global workforce of over 500 employees and operates in various regions including Europe, India, Asia Pacific, and Australia. At C2FO, we prioritize the quality of our technical solutions and are committed to building innovative solutions to address business challenges effectively. We also place a strong emphasis on maintaining a healthy work-life balance and fostering a culture of continuous learning. Our team encourages participation in hackathons, book clubs, and supports a remote-first work environment, ensuring that your voice is heard and your contributions make a real impact. The Data & Decision Science team at C2FO is a multifaceted and collaborative group consisting of Data Engineering, Data Science & Analytics, Data Operations, and Business Intelligence pillars. With a presence in India and the US, our team plays a crucial role in driving C2FO's global growth by developing scalable data solutions and promoting data-driven innovation. As a Senior Data Scientist at C2FO, you will have the opportunity to work on a diverse set of challenges ranging from traditional machine learning applications like forecasting and credit scoring to cutting-edge uses of large language models (LLMs) for customer engagement and retention. You will operate in a fast-paced environment that values initiative, ownership, and curiosity. Key Responsibilities: - Develop machine learning models and scalable data solutions for critical business problems such as dynamic discounting, customer retention, and credit scoring - Design and iterate on minimum viable products (MVPs) to address real business pain points - Collaborate across teams to translate complex business challenges into data science problems - Ensure data validation and quality by working closely with Data Engineering and Data Governance teams - Conduct in-depth analyses to derive actionable insights from complex datasets - Foster a culture of learning, innovation, and experimentation Qualifications: - 5+ years of hands-on experience in data science or applied machine learning - Proficiency in mathematics, statistics, and machine learning concepts - Experience deploying machine learning models in production environments - Strong skills in Python, SQL, Pandas, and relevant data manipulation tools - Familiarity with libraries such as Scikit-learn, XGBoost, PyTorch, etc. - Experience in hypothesis testing and experimentation frameworks - Strong problem-solving, communication, and stakeholder management abilities - Bonus: Background in fintech or financial services At C2FO, we prioritize the well-being of our employees and offer a comprehensive benefits package, flexible work options, volunteer time off, and more. We are committed to fostering diversity and inclusion, empowering our team members to bring their authentic selves to work and contribute to our shared success. Join us in creating a workplace that reflects the diversity of our communities and clients worldwide.,