
Associate Director - Product Management - Agentic AI
- Bangalore, Karnataka
- Permanent
- Full-time
- Drive the zero-to-one product build, leveraging entrepreneurial DNA and experience with lean startup, design thinking, service design, and other relevant methodologies.
- Translate strategic priorities into roadmaps, MVP definitions, user stories, and delivery plans.
- Operate with autonomy and pace, taking new products from concept through early validation to scale.
- Identify opportunities to increase revenue, lower operational costs, and improve customer retention by analyzing product performance and customer feedback.
- Engage with key stakeholders in life sciences to validate need, value, and usability.
- Run lean product discovery cycles across hypothesis-driven themes.
- Serve as a key external representative of the product - trusted, credible, and customer-aware.
- Work collaboratively across internal teams including Engineering, Sales, Services, and Marketing to ensure alignment on product priorities, effective go-to-market execution, and customer adoption.
- Work, as needed, with key external partnerships, as required to build out and commercialise new propositions.
- Clearly communicate product vision and benefits to internal stakeholders, enabling effective product launches and adoption strategies.
- 12+ years of experience in Product Management in B2B2C, B2B, or B2C space.
- 3+ years in AI-focused product management in B2B2C, B2B, or B2C space.
- Good experience in Agentic AI
- Experience working closely and driving product requirements for Data Engineering, ML Engineering, and Data Science teams.
- Proven track record of launching AI-driven enterprise SaaS solutions at scale.
- Deep curiosity and awareness of emerging AI technologies and trends, along with an ability to conceptualize how they can drive practical business value.
- Analytical mindset, skilled at using metrics to drive product decisions and continuously improve user experience.
- Strong communication skills, comfortable translating complex ideas into clear business value for diverse stakeholders.
- Proven ability to prioritize and execute effectively in dynamic environments.
- Entrepreneurial DNA, with experience in zero-to-one product builds and methodologies such as lean startup, design thinking, and service design.
- Prior experience building AI products or platforms designed to automate or augment enterprise workflows.
- Understanding of modern platform architectures, scalability, and performance considerations for AI-driven products.
- Formal degree in a technical field such as Machine Learning, Statistics, or Computer Science.
- Familiarity with core AI platform elements and knowledge of AI tooling stack across one/many public cloud and data vendors.
- Experience managing large, technically complex product programs spanning multiple teams.
- A high degree of independent drive.
- Experience in contextual intelligence, information design, and insight generation.