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Product Manager (AI for Clinical Research)
Tilda ResearchDelhi, Delhi, India2 days ago
Job descriptionEducation : Bachelor's degree in Engineering (B.Tech / B.E.) and MBA from IIM, ISB, or equivalent top-tier institution. Experience : 0-4 years post-MBA experience (exceptional freshers welcome to apply). AI Fluency : Daily user of AI tools (ChatGPT, Claude, Cursor, v0, etc.) with ability to demonstrate practical applications. Strong analytical skills with comfort in data analysis. Excellent communication skills — ability to write clear specs and present to stakeholders. Entrepreneurial mindset with high ownership and bias for action. Genuine interest in healthcare / life sciences (prior experience is a plus but not required). Comfort with ambiguity and rapid iteration in an early-stage environment. You own the product roadmap and have shipped 3+ significant features that customers love Customer feedback directly shapes our priorities, and you're regularly talking to users You've established core product metrics and improved key metrics by 25%+ Engineering team describes you as their best partner in building the right things You've created scalable processes for product discovery, development, and launch Your use of AI tools has 10x'd your productivity and set the standard for the team
Product Manager (AI for Clinical Research)
About the Role
We're looking for a Product Manager who combines strong analytical and technical foundations with deep fluency in AI tools and applications. You'll work directly with the founders to shape our product strategy, prioritize features that deliver immediate customer value, and ensure we're building AI solutions that actually transform how clinical research gets done.
This role requires someone who doesn't just understand AI conceptually but uses it in their daily work — from research and analysis to prototyping and documentation. You'll be the bridge between our technical team, customers, and market opportunities.
Responsibilities
- Own the product roadmap and prioritization, balancing customer needs with technical feasibility and business impact.
- Conduct customer research and translate insights into clear product requirements and user stories.
- Work closely with engineering to define specifications, manage sprints, and ensure timely delivery.
- Use AI tools extensively to accelerate product discovery, create prototypes, analyze data, and improve internal workflows.
- Monitor the AI ecosystem to identify emerging capabilities we can leverage in our products.
- Define and track product metrics, running experiments to validate hypotheses.
- Create product documentation, training materials, and go-to-market collateral (leveraging AI tools for efficiency).
- Support customer demos and gather direct feedback from early adopters.
- Build data-driven business cases for product investments.
Requirements
What Success Looks Like in 6 Months
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