As the AVP of Product Analytics (Gen AI), you will serve as the strategic bridge between advanced machine learning capabilities and tangible business outcomes. You will lead the analytical framework for next-generation AI products, working closely with engineering, data science, and product leadership to define how we measure, optimize, and scale Gen AI features. Your day-to-day will involve translating complex model performance metrics into actionable product strategies, ensuring that our AI initiatives-ranging from RAG-based systems to autonomous agents-deliver measurable value to our end users and stakeholders.

Key Responsibilities :

- Architect the end-to-end product analytics framework for Gen AI initiatives to ensure data-driven decision-making across the product lifecycle.

- Define and track key performance indicators for LLM-based applications, focusing on accuracy, latency, and user engagement to drive continuous product improvement.

- Partner with engineering teams to integrate Langchain and Langgraph workflows into the product stack, ensuring that analytical insights directly inform model fine-tuning and agentic behavior.

- Lead the go-to-market strategy for new AI features by identifying market gaps and aligning product capabilities with customer needs to maximize adoption and retention.

- Collaborate with cross-functional stakeholders to translate technical model outputs into compelling business narratives that guide long-term product strategy.

- Oversee the evaluation of RAG performance and model reliability to ensure that product deployments meet enterprise-grade quality standards.

- Mentor a high-performing team of analysts and product managers, fostering a culture of experimentation and rigorous data validation.

Required Skillset :

- Demonstrated expertise in managing the full product lifecycle for complex AI/ML products, with a deep understanding of Large Language Models and their application in enterprise environments.

- Proven ability to design and implement GTM strategies that effectively position technical AI products within competitive markets.

- Strong technical fluency in modern AI frameworks, including Langchain and Langgraph, with the ability to bridge the gap between technical implementation and product utility.

- Exceptional communication skills, with the ability to distill complex analytical findings into strategic recommendations for executive leadership.

- A strategic mindset capable of balancing long-term product vision with the immediate demands of rapid AI innovation cycles.

- Minimum of 12 to 20 years of professional experience in product management, product strategy, or advanced analytics, preferably within high-growth technology firms.

- Ability to thrive in a hybrid work environment across Bangalore, Pune, or Delhi/NCR, maintaining high levels of collaboration with distributed global teams.

- Educational background in Engineering, Computer Science, or a related quantitative field, often complemented by an MBA from a premier institute.