Role: Founding Principal ML Engineer/ ML Scientist Function: Applied AI Engineer (Vision/GenAI) Location: Gurgaon Type: Full-time Compensation: 50-80+ LPA + ESOPs About the Company: An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content. Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to our platform is a dynamic, machine-learning-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms. With strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance our mission with innovation and impact. Company Philosophy: They believe: Great data + Good models = Great recommendations Good data + Great models = Average recommendations That’s why they’re investing in data infrastructure from our inception and foundation. Position Overview: As the founding ML engineer, you’ll design and deploy the core recommendation and personalisation systems that power our matchmaking experience. You’ll own the full lifecycle - from design to deployment - while laying the foundation for scalable, real-time ranking infrastructure. Role & Responsibilities: Own and develop match-making, recommendation, ranking and personalisation systems. Work on creating a novel, real-time adaptive matchmaking engine that learns from user interactions and other signals Design ranking and recommendation algorithms that make each user's feed feel curated for them Build user embedding systems, similarity models, and graph-based match scoring frameworks Explore and integrate cold-start solutions Partner with Data + Product + Backend teams to deliver great customer experiences Deploy models to production using fast iteration loops, model registries, and observability tooling Build the ML engineering team and culture Ideal Profile: You are a full-stack ML data scientist-engineer who can design, model, and deploy recommendation systems and ideally have led initiatives in recsys, feed ranking, or search 3–10 years of experience working on personalisation, recommendations, search, or ranking at scale Prior experience in a B2C product – social, ecommerce, fashion, dating, gaming, or video platforms Exposure to a wide range of popular recommendation and personalisation techniques, including collaborative filtering, deep retrieval models (e.g., two-tower), learning-to-rank, embeddings with ANN search, and LLM approaches for sparse data personalisation. Can train models AND ship them – experience with end-to-end ML pipelines Understands offline and online evaluation, A/B testing, and metric alignment Experience with vector search, graph-based algorithms and LLM-based approaches is a big plus What we offer: Join a founding team where your work is core to the product experience Shape the future of how humans connect in the AI era Significant ESOPs and wealth creation + competitive cash compensation Show more Show less

Role: Founding Data Platform Architect Function: Founding Data Engineering and ML Infrastructure Location: Gurgaon Type: Full-time Salary: 50-80+ LPA + ESOPs About the Company: An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content. Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to our platform is a dynamic, machine-learning-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms. With strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance our mission with innovation and impact. Company Philosophy: They believe: Great data + Good models = Great recommendations Good data + Great models = Average recommendations That’s why they’re investing in data infrastructure from our inception and foundation. Position Overview: We are looking for a Founding Data Platform Architect to design, build, and scale the data platform and infrastructure that powers our core recommendation systems and personalization engines. This is a 0→10 phase role — your architectural decisions and early hires will shape how our product thinks, recommends, and adapts. You'll also play a player-coach role: contributing directly to code and architecture while hiring and leading a small team of data engineers as we grow. You'll work hand-in-hand with our ML team to build data adapters and interfaces for model training, serving, and experimentation. Role & Responsibilities: Architect the entire data platform from scratch — including event capture, batch and streaming pipelines, and feature engineering Build the foundational event streams that capture swipes, likes, video views, and profile interactions Design and implement a feature store and embedding pipeline to power matchmaking, feed ranking, and personalisation Collaborate with ML engineers to support data adapters , model input schemas , and real-time scoring interfaces Define standards for data quality , governance , freshness , observability , and security across teams Own the strategy for tools, schemas, governance, scalability, and f uture-proofing as models evolve Recruit , mentor , and lead a small team of data engineers and analysts over time Ideal Profile: You’re a systems thinker who starts with data and designs for scale. You’ve likely been at early-stage or high-scale consumer platforms — social, gaming, transactions, or media. Experience : 6–12 years building scalable data systems in fast-moving environments. Industry Fit : Experience supporting RecSys, ML, or content feeds in social or consumer platforms. Architecture Skills : Designed systems spanning batch + streaming, raw → clean → features → serving. Leadership : Ability to mentor junior engineers or build small teams from scratch. ML Awareness : Worked closely with ML teams; understands feature engineering, embedding stores, retrieval systems, and typical models. Product Empathy : Understands how data impacts user experience, not just analytics. Tools Fluency : Proficient in Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform; can pick the best tool for the job. Nice to have: Experience with graph modelling for users/interactions Familiarity with privacy-aware infrastructure (GDPR, PII, consent) Exposure to A/B testing platforms or online experimentation infrastructure What we offer: You’ll be the first data architect at a company where recommendation is the product Your platform will directly impact how people form meaningful relationships You’ll shape our data + ML infra, hire the next engineers, and scale with us to millions of users Significant ESOPs and wealth creation with market-competitive cash compensation Show more Show less

Role: Applied AI Engineer (Vision/GenAI) Function: Applied AI Engineer Location: Gurgaon Type: Full-time Compensation: 40 - 60 LPA + ESOPs About the Company: An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content. Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to our platform is a dynamic, machine-learning-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms. With strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance our mission with innovation and impact. Company Philosophy: They believe: Great data + Good models = Great recommendations Good data + Great models = Average recommendations That’s why they’re investing in data infrastructure from our inception and foundation. Position Overview: As an Applied AI Engineer, you'll lead the deployment of advanced vision-language models to power a personalised, photorealistic user experience. Your work will focus on fine-tuning and integrating models like Stable Diffusion, LoRA, and CLIP into real-time pipelines, optimising them for user delight, performance, accuracy, and eventually costs. You will collaborate closely with product and design teams to bring generative AI capabilities to deliver a novel dating experience. Role & Responsibilities: Build and deploy cutting-edge vision-language pipelines (e.g., Stable Diffusion, LoRA, CLIP, BLIP) for personalized and authentic user profile visuals Fine-tune LoRA models to reflect a user's best version while maintaining identity integrity Design scalable APIs for image generation, editing, and personalization Work with UX/design to integrate image-generation flows that feel intuitive and delightful Optimize models for mobile performance, fast inference, and cost efficiency Collaborate closely with product, backend, and ML researchers to productionize ideas Ideal Profile: We are looking for a hands-on applied AI/ML engineer with expertise in generative vision models like Stable Diffusion, and some track record of building real-time, personalised generative AI experiences. Experience with computer vision, generative models, or deep learning Experience working with Stable Diffusion, LoRA training, and prompt engineering Exposure to different vision-language architectures like Flux, CLIP, BLIP etc Proficient in PyTorch or equivalent ML frameworks Strong understanding of image pipelines, dataset curation, and captioning Experience deploying ML models on cloud-based services ( at minimum Replicate, Hugging Face Spaces and preferably on GPUs) Comfortable writing production-ready Python, working with versioned models and real-time inference stacks Passionate about building beautiful, human-centred AI experiences Nice to have: Prior experience with personalization, avatars, or face-preserving generative models Contributed to open-source vision models or fine-tuning libraries Experience in a startup or fast-paced product-focused team What we offer: Join a founding team where your work is core to product experience Shape the future of how humans connect in the AI era Significant ESOPs and wealth creation + competitive cash compensation Show more Show less

Position: Product and Sales Operations Analyst Location: Remote (India) Experience: 4+ Years of Experience About Company: The client is a leading innovator in the smart hospitality industry, a company dedicated to transforming the way hotels, short-term rentals, and multi-family properties manage their digital infrastructure. Based in Plano, Texas, this organization leverages an AI-powered, cloud-native platform to streamline operations, enhance guest experiences, and optimize property management through cutting-edge IoT solutions. Position Overview The Product and Sales Operations Analyst is a cross-functional role at the intersection of sales, product, and operations. This person will own the reporting, analysis, and data workflows that power day-to-day decisions across these teams. From pipeline health to product lifecycle tracking, and from support metrics to renewal reporting. This role is also hands-on with business operations: helping with customer contract setup, initiating billing, and monitoring customer renewals. It’s ideal for someone who thrives on structure, lives in spreadsheets, and wants to be close to the strategic heart of a fast-moving SaaS company. Key Responsibilities Sales Operation Analytics Maintain reports and dashboards to track: Sales pipeline and conversion funnel Lead-to-opportunity and opportunity-to-close rates Sales cycle length and stage duration Average deal size and discount trends Sales rep performance and quota attainment Win/loss outcomes and competitor insights Customer acquisition cost (CAC) and LTV/CAC ratio Churn rate and expansion revenue Customer satisfaction (CSAT, NPS, qualitative feedback) Analyze performance and activity metrics to inform forecasting and coaching Product Analytics and Reporting Track metrics across the product development lifecycle: Feature delivery velocity and schedule adherence Cost of development and team productivity Support ticket volume, resolution time, and escalations Feature adoption and customer satisfaction post-release Create reports to help guide roadmap prioritization and quality improvements Operational Support Support customer contract preparation and ensure data consistency across systems Coordinate billing setup and work with finance on subscription operations Generate periodic renewal reports and surface at-risk customers Required Skills Advanced Excel/Sheets skills (pivot tables, lookups, charts, formulas) Familiarity with CRM and sales tools (e.g., Salesforce, HubSpot, Zoho) Experience with product and ticketing tools (e.g., JIRA, Confluence, Freshdesk, Zendesk) Comfort with analytics platforms (e.g., Google Data Studio, Tableau, Power BI) Strong attention to detail and excellent written/verbal communication Ability to work independently and across functions with minimal oversight Preferred Experience with 4+ years of relevant experience Prior experience in SaaS, IoT, or B2B software environments Exposure to subscription billing platforms (e.g., Chargebee, Stripe) Understanding of sales operations, customer success metrics, or product management frameworks Why Join Us? Early-stage leadership : Build and shape the core technology of a high-growth AI startup. High impact : Drive the development of an AI-driven product from inception to scale. Growth : Opportunity to lead and scale the engineering team as we grow. What We Offer: Competitive base salary Comprehensive health insurance High-impact role with direct influence on company success

Position: Marketing Analyst Location: Remote (India) Experience: 0-2 Years of Experience About Company: The client is a leading innovator in the smart hospitality industry, a company dedicated to transforming the way hotels, short-term rentals, and multi-family properties manage their digital infrastructure. Based in Plano, Texas, this organization leverages an AI-powered, cloud-native platform to streamline operations, enhance guest experiences, and optimize property management through cutting-edge IoT solutions. Position Overview The Marketing Analyst will play a pivotal role in supporting the marketing efforts of a leading innovator in the smart hospitality industry. This remote position, based in India, is ideal for an enthusiastic individual with 0-2 years of experience, eager to contribute to a company transforming the hospitality sector through AI-powered, cloud-native, and IoT-driven solutions. The role involves assisting in the creation and execution of marketing strategies to promote the company’s cutting-edge platform, which enhances guest experiences and optimizes property management for hotels, short-term rentals, and multi-family properties. This is an excellent opportunity for a proactive, creative, and tech-savvy individual to grow their career in a dynamic, innovative environment. Key Responsibilities Assist in developing and executing marketing campaigns to promote the company’s AI-powered, cloud-native platform and IoT solutions Create engaging content for digital channels, including social media posts, blogs, email newsletters, and website updates Support the management of social media accounts, including content scheduling, audience engagement, and performance tracking Conduct market research to identify industry trends, customer needs, and competitor activities to inform marketing strategies Collaborate with the marketing team to design promotional materials, such as brochures, presentations, and case studies Monitor and report on the performance of marketing campaigns using analytics tools, providing insights to optimise future efforts Assist in coordinating virtual events, webinars, and product demonstrations to showcase the company’s solutions Maintain and update the company’s website and marketing databases to ensure accurate and current information Support partnerships and outreach initiatives to build brand awareness within the hospitality industry Work cross-functionally with sales and product teams to align marketing efforts with business objectives Required Skills Strong written and verbal communication skills to create compelling marketing content and engage with audiences Basic understanding of digital marketing principles, including social media, content marketing, and email campaigns Analytical mindset with the ability to interpret data and derive actionable insights from campaign performance Creative thinking and problem-solving skills to develop innovative marketing ideas Ability to work independently and collaboratively in a fast-paced, remote work environment Time management and organizational skills to handle multiple tasks and meet deadlines Enthusiasm for learning about AI, IoT, and the hospitality industry to effectively communicate the company’s value proposition Proficiency in English, with attention to detail in content creation and editing Preferred Experience with 0-2 years of relevant experience Prior experience in SaaS, IoT, or B2B software environments Basic proficiency in Canva, Adobe Photoshop, or Figma for creating visual marketing assets Why Join Us? Early-stage leadership : Build and shape the core technology of a high-growth AI startup. High impact : Drive the development of an AI-driven product from inception to scale. Growth : Opportunity to lead and scale the engineering team as we grow. What We Offer: Competitive base salary Comprehensive health insurance High-impact role with direct influence on company success

Position: UI/UX Designer Location: Remote Experience: 3+ Yrs About Company: The client is a leading innovator in the smart hospitality industry, a company dedicated to transforming the way hotels, short-term rentals, and multi-family properties manage their digital infrastructure. Based in Plano, Texas, this organization leverages an AI-powered, cloud-native platform to streamline operations, enhance guest experiences, and optimize property management through cutting-edge IoT solutions. Position Overview The UI Developer will join our Design Team, reporting directly to the Design Head. This role focuses on applying lean UX techniques and the UX design process to enhance product design. We seek a young, dynamic designer with strong analytical skills, specializing in creating both high-fidelity and low-fidelity mockups using tools such as Figma, Adobe XD, Photoshop, Axure, and Sketch. Key Responsibilities: Investigate user experience design requirements for our suite of digital solutions. Develop and conceptualize a comprehensive UI/UX design strategy. Produce high-quality UX design solutions, including wireframes, visual and graphic designs, flow diagrams, storyboards, personas, user stories, site maps, and prototypes. Design UI elements and tools, such as navigation menus, search boxes, tabs, and widgets, for our digital solutions. Collaborate with internal and external marketing teams. Conduct competitor and customer analysis, as well as usability testing. Provide guidance on implementing UX research methodologies and testing activities to analyze and predict user behavior. Required Skills Proficiency in design tools including Figma, Adobe XD, Photoshop, Axure, and Sketch. Strong analytical abilities for creating high-fidelity and low-fidelity mockups. Experience in producing wireframes, visual designs, flow diagrams, storyboards, personas, user stories, site maps, and prototypes. Ability to design UI elements like navigation menus, search boxes, tabs, and widgets. Collaboration skills for working with marketing teams. Expertise in conducting competitor/customer analysis and usability testing. Knowledge of UX research methodologies to analyze and predict user behavior. Why Join Us? Early-stage leadership : Build and shape the core technology of a high-growth AI startup. High impact : Drive the development of an AI-driven product from inception to scale. Growth : Opportunity to lead and scale the engineering team as we grow. What We Offer: Competitive base salary Comprehensive health insurance High-impact role with direct influence on company success

Position: Full Stack Developer Location: Remote Experience: 3+ Years About Company: The client is a leading innovator in the smart hospitality industry, a company dedicated to transforming the way hotels, short-term rentals, and multi-family properties manage their digital infrastructure. Based in Plano, Texas, this organization leverages an AI-powered, cloud-native platform to streamline operations, enhance guest experiences, and optimize property management through cutting-edge IoT solutions. Position Overview Reporting to the Head of Engineering, the Full Stack Developer will play a pivotal role in designing, developing, and deploying scalable and robust solutions that integrate cloud infrastructures, IoT ecosystems, and AI capabilities. This role offers the opportunity to build impactful products that will change the use of smart technologies in the hospitality industry. Key Responsibilities Application Development: Design and develop scalable, secure, and responsive web applications using modern front-end and back-end technologies. Build and maintain RESTful APIs and microservices to support IoT devices and AI-driven features. Ensure seamless integration between front-end interfaces, back-end systems, and cloud infrastructure. Architect and deploy distributed applications on cloud platforms and edge servers. Leverage cloud services like serverless computing, containerization and database solutions to build resilient applications. Optimize cloud resources for performance, scalability, and cost efficiency. IoT Integration: Develop solutions that integrate with IoT devices, protocols (e.g., MQTT, Zigbee, ZWave), and platforms (e.g. SmartThings, Tuya, TTLock, Yale, Schlage). Manage the ingestion, processing, and storage of large volumes of data generated by IoT devices. Design solutions that work within bandwidth-constrained and intermittent connectivity environments. AI/ML Integration: Implement AI/ML models into applications. Design pipelines to collect, process, and feed real-time data into AI models for predictive or decision-making tasks. Collaboration and Testing: Write and maintain unit, integration, and end-to-end tests. Conduct code reviews. Ensure clean, maintainable, and secure code. Maintenance and Monitoring Troubleshoot and resolve production issues promptly. Continuously improve existing systems by addressing technical debt. Required Skills Full Stack Expertise: Proficiency in front-end frameworks (React, Angular, or Vue.js) and back-end languages (e.g., Node.js, Python, or Java). Cloud Technologies: Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud) and tools like Docker, Kubernetes, and CI/CD pipelines. IoT: Familiarity with IoT protocols, device communication, and working with IoT platforms or ecosystems. AI/ML: Understanding of AI/ML concepts, with experience integrating pre-trained models or APIs. Database Management: Proficiency in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB). APIs: Experience designing and working with RESTful APIs, SOAP, GraphQL, or WebSocket-based systems. Security: Knowledge of application and data security best practices in cloud and IoT environments. Collaboration: Excellent communication and writing skills with the ability to work collaboratively across a distributed team. Willing and able to mentor junior resources. Mindset: Hands-on technologist with the passion and productivity that comes from being the best at building products. Why Join Us? Early-stage leadership : Build and shape the core technology of a high-growth AI startup. High impact : Drive the development of an AI-driven product from inception to scale. Growth : Opportunity to lead and scale the engineering team as we grow. What We Offer: Competitive base salary Comprehensive health insurance High-impact role with direct influence on company success

Position: Content Marketing Manager Location: Remote (India) Experience: 3-6 Years of Experience About Company: The client is a leading innovator in the smart hospitality industry, a company dedicated to transforming the way hotels, short-term rentals, and multi-family properties manage their digital infrastructure. Based in Plano, Texas, this organization leverages an AI-powered, cloud-native platform to streamline operations, enhance guest experiences, and optimize property management through cutting-edge IoT solutions. Position Overview The Content Marketing Manager will lead content strategy and execution for a leading innovator in the smart hospitality industry. This remote role, based in India, is designed for a dynamic professional with 3-6 years of experience, passionate about driving brand awareness and engagement through compelling content. The position involves creating and managing content to promote the company’s AI-powered, cloud-native platform and IoT solutions, which transform operations and guest experiences for hotels, short-term rentals, and multi-family properties. Ideal for a strategic thinker with strong storytelling skills, this role offers the opportunity to shape the company’s voice in a cutting-edge, tech-driven hospitality market. Key Responsibilities Develop and implement a comprehensive content marketing strategy to promote the company’s AI-powered platform and IoT solutions Create high-quality, engaging content across channels, including blogs, whitepapers, case studies, social media posts, email campaigns, and website copy Manage the content calendar, ensuring timely delivery of content aligned with marketing goals and industry trends Oversee social media content strategy, driving audience growth and engagement while collaborating with the marketing team on paid campaigns Conduct in-depth market and competitor research to identify content opportunities and position the company as a thought leader in smart hospitality Optimize content for SEO to improve organic visibility and drive traffic to the company’s website and digital assets Analyze content performance using analytics tools, generating reports and insights to refine strategies and maximize impact Collaborate with sales, product, and design teams to create content that supports product launches, customer onboarding, and lead generation Manage relationships with external vendors, such as freelance writers, graphic designers, or agencies, to scale content production as needed Stay updated on AI, IoT, and hospitality industry trends to ensure content remains relevant and innovative Required Skills Exceptional written and verbal communication skills to craft compelling, audience-focused content Proven expertise in content marketing, including strategy development, content creation, and performance analysis Strong understanding of SEO best practices and digital marketing principles to enhance content reach and impact Analytical skills to interpret data, measure content effectiveness, and optimize strategies based on insights Creative storytelling ability to translate complex technical concepts (AI, IoT) into accessible, engaging narratives Project management skills to handle multiple content initiatives and meet deadlines in a remote setting Collaborative mindset to work cross-functionally with internal teams and external partners Adaptability and curiosity to stay ahead of industry trends and emerging content formats Proficiency in English with meticulous attention to detail in writing and editing Preferred Experience with 3-6 years of relevant experience Prior experience in SaaS, IoT, or B2B software environments Experience with Google Analytics, SEMrush, Ahrefs, or Moz for keyword research and performance tracking Why Join Us? Early-stage leadership : Build and shape the core technology of a high-growth AI startup. High impact : Drive the development of an AI-driven product from inception to scale. Growth : Opportunity to lead and scale the engineering team as we grow. What We Offer: Competitive base salary Comprehensive health insurance High-impact role with direct influence on company success

Position: Junior QA Engineer Location: Hyderabad Experience: 3-5 Years of Experience in the hospitality industry or IoT platforms is highly desirable. Industry: SaaS, Hospitality Tech, Smart Infrastructure Note: Full-Time. Will require work across shifts, including shifts on nights and holidays About Company: The client is a leading innovator in the smart hospitality industry, a company dedicated to transforming the way hotels, short-term rentals, and multi-family properties manage their digital infrastructure. Based in Plano, Texas, this organization leverages an AI-powered, cloud-native platform to streamline operations, enhance guest experiences, and optimize property management through cutting-edge IoT solutions. Position Overview Reporting to the Head of Engineering , the QA Engineer will ensure the quality and reliability of our cutting-edge IoT platform for the hospitality industry. The QA Engineer will be responsible for designing, executing, and automating tests to validate the platform’s functionality, scalability, security, and performance. Key Responsibilities Test Planning: Develop and maintain comprehensive test plans, test cases, and test scripts tailored to IoT devices, cloud platforms, and web/mobile interfaces localized across multiple languages. Collaborate with product and engineering teams to ensure requirements are testable and complete. Functional & Integration Testing Perform end-to-end testing of IoT workflows, including device connectivity, data transmission, and user interfaces. Validate integration between IoT devices, cloud services, and third-party APIs. Conduct regression testing to ensure changes do not impact existing functionality. Automation & Tools Build and maintain automated test suites for functional and performance testing. Use tools like Selenium, Appium, or similar frameworks for automation. Implement and enhance CI/CD pipelines to run automated tests efficiently. Performance & Scalability Testing Test system scalability under various load conditions to simulate real-world scenarios. Identify and resolve performance bottlenecks in data handling, connectivity, and device operations. Test device across various connectivity protocols (Wi-Fi, Zigbee, Bluetooth, etc.). Ensure compliance with the functionality matrix. Defect Management & Reporting Identify, document, and track defects using tools like JIRA. Collaborate in root-cause analysis to resolve issues effectively. Compliance & Security Ensure the platform meets industry standards for data security and privacy. Validate that the system complies with regulatory requirements. Required Skills: Strong understanding of IoT systems, including device communication protocols (MQTT, ZWave, HTTP). Experience testing APIs, cloud platforms, and mobile/web applications. Proficiency in test automation tools (e.g., Selenium, Appium) and scripting languages (e.g., Python, JavaScript) Familiarity with QA best practices, methodologies, and tools like JIRA, TestRail, or Postman. Strong analytical skills to identify and troubleshoot issues across complex systems. Excellent communication skills to work with developers. Why Join Us? Early-stage leadership : Build and shape the core technology of a high-growth AI startup. High impact : Drive the development of an AI-driven product from inception to scale. Growth : Opportunity to lead and scale the engineering team as we grow. What We Offer: Competitive base salary Comprehensive health insurance High-impact role with direct influence on company success

Position: IT & Customer Support Engineer Location: Hyderabad (On-site) Experience: 3-5 Years Industry: SaaS, Hospitality Tech, Smart Infrastructure Note: Full-Time. Will require work across shifts, including shifts on nights and holidays About Company: The client is a leading innovator in the smart hospitality industry, a company dedicated to transforming the way hotels, short-term rentals, and multi-family properties manage their digital infrastructure. Based in Plano, Texas, this organization leverages an AI-powered, cloud-native platform to streamline operations, enhance guest experiences, and optimize property management through cutting-edge IoT solutions. Key Responsibilities Internal IT & Asset Management Manage company IT assets, including laptops, peripherals, and networking equipment. Deploy, configure, and maintain employee laptops, ensuring proper setup of monitoring tools. Provide remote IT support to employees for software and hardware issues. Administer and manage cloud applications such as Google Workspace (Gmail, Drive), Slack, Squarespace (domains), and other SaaS tools used by the organization. Ensure IT security best practices , including endpoint protection, access control, and regular updates. Maintain office networking infrastructure, ensuring smooth connectivity and troubleshooting hardware issues. Customer Support & Networking Assistance Provide remote technical support for customers using our smart device solutions. Assist hospitality clients with network configuration , including SSID setups, VLAN assignments, and router/access point configurations. Troubleshoot network-related issues at customer properties and work closely with their IT teams or third-party network vendors to resolve problems. Maintain documentation and Knowledge base articles for network settings, best practices, and troubleshooting procedures. Collaborate with the product and engineering teams to report bugs and provide feedback for product improvements. Requirements: Technical Skills: Experience managing IT assets, laptop deployments, and remote troubleshooting . Strong understanding of networking concepts (e.g., VLANs, SSIDs, firewalls, VPNs, DHCP, DNS, and access points). Familiarity with cloud-based applications like Google Workspace, Slack, and domain management platforms. Ability to remotely configure and troubleshoot routers and access points (Ubiquiti, Cisco, TP-Link, or similar). Hands-on experience with network security and basic firewall configurations is a plus. Soft Skills: Excellent communication and coordination skills for working with employees and customers. Strong problem-solving abilities and the ability to work independently. Experience working in a fast-paced startup environment is a plus. Willingness to learn new technologies and adapt quickly . Preferred Qualifications: 2+ years of experience in IT support, system administration, or customer support for networking solutions. Relevant certifications (CompTIA Network+, CCNA, or equivalent) are a plus. Experience supporting smart devices or IoT solutions is beneficial but not required. Why Join Us? Early-stage leadership : Build and shape the core technology of a high-growth AI startup. High impact : Drive the development of an AI-driven product from inception to scale. Growth : Opportunity to lead and scale the engineering team as we grow. What We Offer: Competitive base salary Comprehensive health insurance High-impact role with direct influence on company success

Position: Customer Onboarding Program Manager Location: Remote Experience: 5+ Years Industry: SaaS, Hospitality Tech, Smart Infrastructure About Company: The client is a leading innovator in the smart hospitality industry, a company dedicated to transforming the way hotels, short-term rentals, and multi-family properties manage their digital infrastructure. Based in Plano, Texas, this organization leverages an AI-powered, cloud-native platform to streamline operations, enhance guest experiences, and optimize property management through cutting-edge IoT solutions. Position Overview As a Customer Onboarding Program Manager, you will play a critical role in ensuring a smooth, successful, and timely onboarding experience for new customers across hotels, short-term rentals, and multi-family properties. You will serve as the primary point of contact during the onboarding phase, coordinating cross-functional efforts across product, support, and implementation teams to deliver exceptional value. Key Responsibilities: Own the onboarding journey for new customers across the company’s product lines, with a primary focus on execution and delivery. Prepare, maintain, and manage multiple project plans tailored to specific customer deployments. Coordinate internal resource assignments across hardware logistics, installation, onboarding, and training phases. Track and manage dependencies across teams and systems to ensure timelines are met. Interface with customer stakeholders to provide clear communication, set expectations, and deliver updates on milestones and blockers. Identify and manage risks to successful onboarding, escalating where necessary with mitigation plans. Drive consistency and quality in onboarding processes through structured documentation and continuous improvement. Role Requirements: Location Requirement: You must be based in Hyderabad. Strong technical acumen and the ability to understand the company’s modular smart platform and product offerings. Proficiency with tools including Google Docs, Microsoft Office, and CRM/project management platforms such as Salesforce, Zoho, Hubspot, or similar. Excellent project management skills , with experience building and executing cross-functional project plans. Clear and confident communication , both written and verbal, to guide internal teams and inform external stakeholders. A high sense of ownership, organisation, and follow-through. Why Join Us? Early-stage leadership : Build and shape the core technology of a high-growth AI startup. High impact : Drive the development of an AI-driven product from inception to scale. Growth : Opportunity to lead and scale the engineering team as we grow. What We Offer: Competitive base salary Comprehensive health insurance High-impact role with direct influence on company success

Role: Data Engineer Function: Data Platform Engineering Compensation: 30-60 LPA + ESOPs About the Company: A venture-backed, stealth-stage technology company building next-gen matchmaking and relationship platforms is hiring their founding AI/ML & Data Engineering Team. They are on a mission to reimagine how people connect, using AI, community, and content as the building blocks. They’re not building just another dating app — they’re creating an experience where users feel: “This app gets me.” At the core of the product are real-time, ML recommendation engines — similar to Spotify for song moods or TikTok for discovery. They are well funded and backed by marquee VCs in India and US. Company Philosophy: Core belief: Great data + Good models = Great recommendations Good data + Great models = Average recommendations That’s why they’re investing in data infrastructure from the inception and foundation. Position Overview: We are looking for a Data Engineer to help design, build, and scale the data platform and infrastructure that powers our core recommendation systems and personalisation engines. You’ll be a founding data engineer helping us lay the pipelines and infrastructure that feed our recommendation systems, onboarding flows, engagement metrics, dashboards, and ML models. You'll work hand-in-hand with our ML team to build data adapters and interfaces for model training, serving, and experimentation. Role & Responsibilities: Build and scale ETL from raw app events to ML-ready features Build real-time and batch pipelines for user actions and events Contribute to the feature store, embedding pipelines, data validation, and freshness monitoring systems Design data layers for use in A/B tests, product metrics, and ML training Partner with ML engineers to deliver data adapters for model inputs, embedding generation, and training loops Help evolve the core event schema and data model with privacy, observability, and performance in mind Ideal Profile: You’re a systems thinker who starts with data and designs for scale. You’ve likely been at early-stage or high-scale consumer platforms — social, gaming, transactions, or media. Experience: 3–6 years building scalable data systems in fast-moving environments. Industry Fit: Experience supporting RecSys, ML, or content feeds in social or consumer platforms. ML/RecSys Awareness: Understands how features feed into models, or has worked closely with ML teams before. Product Empathy: Understands how data impacts user experience, not just analytics. Tools Fluency: Proficient in Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform; can pick the best tool for the job. Nice to have: Experience with personalisation systems, recommender pipelines, or ranking models Exposure to A/B testing platforms or online experimentation infrastructure Passion for consumer social or dating products What the role offers: Join a founding data team where your work is core to product experience Shape key decisions for a platform that will directly impact how people form meaningful relationships Significant ESOPs and wealth creation with market competitive cash compensation

Role : Applied AI Engineer (Gen-AI, Vision) Function : Applied AI Compensation : 40-60 LPA + ESOPs About the Company: A venture-backed, stealth-stage technology company building next-gen matchmaking and relationship platforms is hiring their founding AI/ML & Data Engineering Team. They are on a mission to reimagine how people connect, using AI, community, and content as the building blocks. They’re not building just another dating app — they’re creating an experience where users feel: “This app gets me.” At the core of the product are real-time, ML recommendation engines — similar to Spotify for song moods or TikTok for discovery. They are well funded and backed by marquee VCs in India and US. Company Philosophy: Core belief: Great data + Good models = Great recommendations Good data + Great models = Average recommendations That’s why they’re investing in data infrastructure from the inception and foundation. Position Overview: As an Applied AI Engineer, you'll lead the deployment of advanced vision-language models to power a personalised, photorealistic user experience. Your work will focus on fine-tuning and integrating models like Stable Diffusion, LoRA, and CLIP into real-time pipelines, optimising them for user delight, performance, accuracy, and eventually costs. You will collaborate closely with product and design teams to bring generative AI capabilities to deliver a novel dating experience. Role & Responsibilities: Build and deploy cutting-edge vision-language pipelines (e.g., Stable Diffusion, LoRA, CLIP, BLIP) for personalised and authentic user profile visuals Fine-tune LoRA models to reflect a user's best version while maintaining identity integrity Design scalable APIs for image generation, editing, and personalization Work with UX/design to integrate image-generation flows that feel intuitive and delightful Optimize models for mobile performance, fast inference, and cost efficiency Collaborate closely with product, backend, and ML researchers to productionize ideas Ideal Profile: They are looking for a hands-on applied AI/ML engineer with expertise in generative vision models like Stable Diffusion, and some track record of building real-time, personalised generative AI experiences. Experience with computer vision, generative models, or deep learning Experience working with Stable Diffusion, LoRA training, and prompt engineering Exposure to different vision-language architectures like Flux, CLIP, BLIP etc Proficient in PyTorch or equivalent ML frameworks Strong understanding of image pipelines, dataset curation, and captioning Experience deploying ML models on cloud-based services ( at minimum Replicate, Hugging Face Spaces and preferably on GPUs) Comfortable writing production-ready Python, working with versioned models and real-time inference stacks Passionate about building beautiful, human-centred AI experiences Nice to have: Prior experience with personalization, avatars, or face-preserving generative models Contributed to open-source vision models or fine-tuning libraries Experience in a startup or fast-paced product-focused team What the role offers: Join a founding team where your work is core to product experience Shape the future of how humans connect in the AI era Significant ESOPs and wealth creation + competitive cash compensation

Role : Founding Principal ML Engineer/ ML Scientist Function : Applied AI Compensation : 50-100 LPA + ESOPs About the Company: A venture-backed, stealth-stage technology company building next-gen matchmaking and relationship platforms is hiring their founding AI/ML & Data Engineering Team. They are on a mission to reimagine how people connect, using AI, community, and content as the building blocks. They’re not building just another dating app — they’re creating an experience where users feel: “This app gets me.” At the core of the product are real-time, ML recommendation engines — similar to Spotify for song moods or TikTok for discovery. They are well funded and backed by marquee VCs in India and US. Company Philosophy: Core belief: Great data + Good models = Great recommendations Good data + Great models = Average recommendations That’s why they’re investing in data infrastructure from the inception and foundation. Position Overview: We are looking for a Founding Data Platform Architect to design, build, and scale the data platform and infrastructure that powers our core recommendation systems and personalisation engines. This is a 0→10 phase role — your architectural decisions and early hires will shape how our product thinks, recommends, and adapts. You'll also play a player-coach role: contributing directly to code and architecture while hiring and leading a small team of data engineers as we grow. You'll work hand-in-hand with our ML team to build data adapters and interfaces for model training, serving, and experimentation. Role & Responsibilities: Architect the entire data platform from scratch — including event capture, batch and streaming pipelines, and feature engineering Build the foundational event streams that capture swipes, likes, video views, and profile interactions Design and implement a feature store and embedding pipeline to power matchmaking, feed ranking, and personalisation Collaborate with ML engineers to support data adapters, model input schemas, and real-time scoring interfaces Define standards for data quality, governance, freshness, observability, and security across teams Own the strategy for tools, schemas, governance, scalability, and future-proofing as models evolve Recruit, mentor, and lead a small team of data engineers and analysts over time Ideal Profile: You’re a systems thinker who starts with data and designs for scale. You’ve likely been at early-stage or high-scale consumer platforms — social, gaming, transactions, or media. Experience: 6–12 years building scalable data systems in fast-moving environments. Industry Fit: Experience supporting RecSys, ML, or content feeds in social or consumer platforms. Architecture Skills: Designed systems spanning batch + streaming, raw → clean → features → serving. Leadership: Ability to mentor junior engineers or build small teams from scratch. ML Awareness: Worked closely with ML teams; understands feature engineering, embedding stores, retrieval systems, and typical models. Product Empathy: Understands how data impacts user experience, not just analytics. Tools Fluency: Proficient in Kafka, Spark, Flink, Airflow, dbt, Redis, BigQuery, Feast, Terraform; can pick the best tool for the job. Nice to have: Experience with graph modelling for users/interactions Familiarity with privacy-aware infrastructure (GDPR, PII, consent) Exposure to A/B testing platforms or online experimentation infrastructure What we offer: You’ll be the first data architect at a company where recommendation is the product Your platform will directly impact how people form meaningful relationships You’ll shape our data + ML infra, hire the next engineers, and scale with us to millions of users Significant ESOPs and wealth creation with market-competitive cash compensation

Role: ML Engineer Function: AI/ML Engineering Location: Gurgaon Type: Full-time Compensation: 30-50 LPA + ESOPs About the Company: An early-stage, US-based venture-backed technology company focused on creating innovative platforms for building meaningful relationships. They aim to transform how people connect by harnessing artificial intelligence, fostering community engagement, and delivering tailored content. Rather than developing another conventional social app, they’re crafting a unique experience that resonates deeply with users, making them feel truly understood. Central to their platform is a dynamic, machine-learning-powered recommendation system, drawing inspiration from the personalised discovery engines of leading music and video platforms. With strong financial backing from top-tier venture capital firms in India and the United States, they are well-positioned to advance their mission with innovation and impact. Company Philosophy: They believe: Great data + Good models = Great recommendations Good data + Great models = Average recommendations That’s why they've been investing in data infrastructure from the inception and foundation. Position Overview: As an ML Engineer, you'll design and deploy the core recommendation and personalization systems that power their matchmaking experience. You'll engineer the full lifecycle - from design, R&D, to deployment - while laying the foundation for scalable, real-time ranking infrastructure. 🛠 What You'll Do ● develop match-making, recommendation, ranking and personalization systems. ● Work on a creating a novel real-time adaptive matchmaking engine that learns from user interactions and other signals ● Design ranking and recommendation algorithms that make each user feed feel curated for them ● Build user embedding systems, similarity models, and graph-based match scoring frameworks ● Deploy models to production using fast iteration loops, model registries, and observability tooling 💡 Ideal Profile ● You are a ML engineer who can design, model, and deploy recommendation systems and ideally have worked on recommendation systems, feed ranking, or search ● 3-6 years of experience working on ML Engineering or Data Science. ● Prior experience working in personalization, recommendations, search, or ranking at scale ● Exposure to a variety of popular recommendation and personalization techniques, including collaborative filtering, deep retrieval models (e.g., two-tower), learning-to-rank, embeddings with ANN search, and LLM approaches for sparse data personalization. ● Can train models AND ship them - experience with end-to-end ML pipelines ● Experience with vector search, graph-based algorithms and LLM based approaches a big plus What we offer: Join a founding team where your work is core to the product experience Shape the future of how humans connect in the AI era Significant ESOPs and wealth creation + competitive cash compensation

Role: Founding People Partner & Talent Architect Location: Gurugram (Hybrid) Experience: 3-7 Yrs About Company This fast-growing, AI-led venture is transforming how modern teams operate by developing intelligent productivity and collaboration solutions—particularly for fast-paced, go-to-market environments. With strong early traction and growing revenues, the company has attracted investments across angel, seed, and most recently, Seed Plus funding rounds from globally renowned investors who share its bold vision. Its mission is rooted in applying Nudge Theory —a behavioral economics concept—to drive smarter sales behavior. By surfacing timely, actionable insights from sales playbooks and customer data, the platform enables better decision-making, sharper prioritization, and more personalized outreach. This leads to improved performance and stronger customer engagement. Currently in its growth phase, the company is assembling a high-performance team to scale its impact further. Position Overview We’re hiring a People & Culture Lead to join the founding team of a fast-growing, AI-native startup. This is a high-impact, high-ownership role designed for someone who’s ready to go beyond traditional HR and help build the People function as a strategic growth engine. You’ll partner directly with the founders to design and implement end-to-end people systems—owning everything from hiring and onboarding to performance management, career paths, and culture-building. As we scale from a 25-member team to 50+ and beyond, you’ll lay the foundation for scalable people operations while maintaining the speed, clarity, and trust that early-stage teams thrive on. This isn’t a legacy HR setup—there are no outdated processes to maintain. You’ll have a blank canvas to architect the kind of culture and systems you believe enable high-performing, mission-driven teams. If you're someone who blends empathy with execution, has a builder’s mindset, and thrives in high-trust environments where people actually care about people—you’ll feel right at home here. Key Responsibilities End-to-end hiring : Close top talent (ICs and managers) within 30 days; build strong pipelines proactively. Onboarding with intent : Design milestone-based onboarding (1 week, 1 month, 3 months) with feedback at every stage. Early performance clarity : Identify mismatches within 1–3 months and take timely action. Career frameworks : Create and track clear growth ladders; mentor managers to support them. Culture-first org building : Foster a collaborative, transparent, and fast-moving culture. People operations : Drive offers, payroll, HRMS (Zoho), policies, compliance, and smooth processes. Strategic people planning : Partner on org design, ESOP benchmarks, global hiring strategy, and long-term scaling. Required Skills Bring 3–7 years of experience in People Ops, HR, or generalist roles—especially in high-growth startups . Strong sense of influencing culture and values at the foundational stage. Have a builder mindset —you don’t just run processes; you design them to scale. Balance empathy and execution —you care deeply about people, but don’t shy away from tough decisions. Not just an executor of legacy HR policies, but someone who creates scalable, first-principle solutions. You are highly structured , detail-oriented , and process-driven . Communicate clearly, coach managers, and run high-clarity meetings. Bonus if you’ve used OKR frameworks , Zoho Books , or HR/payroll tools . Most importantly, you’re excited to build a high-trust , high-velocity team from the ground up . A self-starter who operates with ownership and doesn’t need micro-management or layers of approval. Comfortable using AI tools and crafting prompts to automate repetitive tasks, gather insights, or experiment with tools like ChatGPT, Claude, Notion AI, etc. Why Join Us? Early-stage leadership : You’ll own the People function at a critical stage—no legacy baggage, just a clear path to design and scale systems that work. Seat at the Table: Work directly with founders who value People Ops as a strategic lever, not paperwork. You’ll influence real decisions, not just execution. High-Trust, High-Velocity Culture: Join a team that moves fast without ego—where ownership, speed, and candour are core to how we operate. Career Growth: As we scale rapidly, you’ll have the opportunity to grow into a leadership role and build out your team and vision. What We Offer: ₹15–20L base, with growth and leadership tracks ahead. Hybrid in Gurugram: 2–3 days/week in office for deep real‑time collaboration. Direct mentorship from a founder with a $100M exit and coaching experience.

As a Network & Infrastructure Engineer at our client, a leading innovator in the smart hospitality industry, you will be responsible for designing, deploying, and managing secure, scalable network infrastructures across both device-level and enterprise environments. Reporting to the Head of Engineering, you will play a critical role in enabling seamless communication between edge devices and the cloud, supporting internal IT operations, and ensuring the reliability of field-deployed systems. Your key responsibilities will include designing, deploying, and managing device-level and enterprise network infrastructure (LAN/WAN/VPN), setting up and maintaining secure communication protocols for IoT/edge devices (e.g., MQTT, HTTPs, CoAP), troubleshooting field-deployed network issues, collaborating with firmware and cloud teams to optimize device-cloud data flow, implementing network monitoring tools and alerting systems, configuring and managing firewall rules, VPNs, and NAT policies for remote connectivity, assisting in provisioning and onboarding new device deployments, managing company IT assets, maintaining inventory of hardware and software assets, supporting remote employees with setup and troubleshooting, coordinating shipping and delivery of devices for remote team members, and ensuring proper configuration and security compliance of all IT assets before deployment. To excel in this role, you should have a strong understanding of networking concepts and protocols, hands-on experience with configuring and managing enterprise network infrastructure, proficiency in setting up and troubleshooting secure communication protocols for IoT and edge devices, experience with cellular networks and remote access solutions, familiarity with network monitoring and diagnostic tools, working knowledge of firewall configuration and VPN setup, ability to collaborate across engineering teams, experience managing IT assets and maintaining inventory systems, proficiency in remote IT support, understanding of IT security best practices, strong problem-solving skills, and excellent communication skills. Joining our client will offer you early-stage leadership opportunities, high impact in driving the development of AI-driven products, and growth potential as you lead and scale the engineering team. In return, we offer a competitive base salary, comprehensive health insurance, and a high-impact role with direct influence on company success.,