About the Role
- We are hiring a Product Growth Manager to lead initiatives at the intersection of retail, AI, and product execution. This role requires someone who can conceptualize and build AI-native features, scale them effectively, and drive adoption through experimentation, data insights, and structured execution.
- You will work closely with engineering, machine learning, product, and business teams to deliver AI-powered capabilities that solve real-world retail challenges. The ideal candidate has strong technical foundations, sharp product instincts, and a proven ability to operate with speed and ownership in high-growth environments.
What will you do at Fynd
- 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.
Some Specific Requirements:
AI and Technical Foundations
- 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.
Data and Analytics
- 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.
Retail and Product Execution
- 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.
Preferred Experience
- 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.
Why Join Us
- 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.
- If you're someone who thrives on execution, loves solving complex problems, and wants to build the future of AI-native platforms, we'd love to have you on board
