- Build and launch AI-native product features in collaboration with ML and engineering teams.
- Drive product-led growth initiatives focused on activation, retention, and adoption.
- Translate AI/ML capabilities into scalable and intuitive product experiences.
- Work hands-on with model deployments, inference systems, and API integrations.
- Own end-to-end product execution—from problem discovery to roadmap delivery and post-launch iteration.
- Contribute to platform strategies that scale AI features from MVPs to production-grade adoption.
- Understand and influence product flows specific to retail, catalog systems, and commerce automation.
- Strong grasp of LLMs, embeddings, vector databases, RAG, and fine-tuning methods like LoRA and QLoRA.
- Hands-on experience with OpenAI, Hugging Face, LangChain, LlamaIndex, and production-grade AI tooling.
- Familiar with AI workflows using FastAPI, Docker, MLflow, and model serving via Ray or TorchServe.
- Comfortable working with GitHub, Git, and tools for managing models, code, and experiments.
- Good understanding of microservices, API design (REST/GraphQL), and scalable backend systems.
- Experienced in CI/CD setup for training and deploying ML models to production.
- Proficient in SQL, BigQuery, and Looker Studio for data exploration and dashboards.
- Able to design KPIs, success metrics, and user journey insights for product analytics.
- Knowledge of tools like dbt, Airflow, and event-based platforms like PostHog or Mixpanel.
- Experience with A/B testing, funnel analysis, and behavioral cohort tracking.
- Solid understanding of retail workflows, product catalogs, and commerce ecosystems.
- Experience building and scaling digital products with real-world user adoption.
- Strong product judgment and ability to balance business, user, and technical priorities.
- Stakeholder Management and Execution Leadership
- Ability to lead and influence cross-functional teams to drive high-quality execution.
- Strong communication skills to present AI-driven concepts to both technical and non-technical audiences.
- Experience with Agile methodologies and tools such as Jira, Confluence, and Asana for planning and tracking.
- 2 to 5 years in product, growth, or AI-focused roles.
- Experience in building and scaling AI-powered or technology-driven platforms.
- Exposure to retail, e-commerce, or SaaS environments.
- Track record of delivering outcomes in fast-paced, cross-functional teams.
- Be part of a team shaping the future of AI-native platforms in digital commerce.
- Work closely with leading AI engineers, product teams, and business stakeholders.
- Own and execute high-impact initiatives with autonomy and accountability.
- Operate in a culture that values speed, clarity, and innovation.
Skills Required
- Strong understanding of LLMs, embeddings, vector databases, RAG, LoRA, and QLoRA
- Hands-on experience with OpenAI, Hugging Face, LangChain, LlamaIndex, and production AI tooling
- Familiarity with FastAPI, Docker, MLflow, Ray, or TorchServe
- Experience with GitHub and Git
- Understanding of microservices, REST or GraphQL API design, and scalable backend systems
- Experience setting up CI/CD for training and deploying ML models
- Proficiency in SQL, BigQuery, and Looker Studio
- Knowledge of dbt, Airflow, PostHog, or Mixpanel
- Experience with KPI design, A/B testing, funnel analysis, and behavioral cohort tracking
- Understanding of retail workflows, product catalogs, and commerce ecosystems
- Experience building and scaling digital products with real-world user adoption
- Strong product judgment, stakeholder management, communication, and cross-functional execution skills
- Experience with Agile methodologies and Jira, Confluence, or Asana
- 2 to 5 years of experience in product, growth, or AI-focused roles
- Experience building and scaling AI-powered or technology-driven platforms
- Exposure to retail, e-commerce, or SaaS environments
- Track record of delivering outcomes in fast-paced, cross-functional teams
What We Do
Fynd is India's largest omnichannel ecosystem and multi-platform tech company. Headquartered in Mumbai and founded by Farooq Adam, Harsh Shah, and Sreeraman MG in 2012. We have modernized retail strategies for more than 1000 brands & created a rich suite of tech products. Rooted in technology & innovation, we have products in applied machine learning, big data, gaming+crypto, image editing, and learning space. Our constant innovation and expertise in technology has been noticed worldwide. Fynd made it to Fast Company's list of Top 10 most innovative Asia-Pacific companies of 2022. We are a fast growing team of 1000+ fun, skilled and ambitious people. We explore the unexplored, innovate unafraid, and have the time of our life while we do. Be a part of the new. Join us. For more information about our products, visit us at www.omnifynd.com







