Product Strategy Lead
Listed on 2026-01-22
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IT/Tech
Data Analyst -
Business
Data Analyst
Maven Bio builds domain-specific AI for the life sciences industry. Our clients include publicly-traded pharmaceutical companies, venture capital firms, and global consultancies. We're a YC-backed team based in Boston (oversubscribed $3.1M seed), and we're hiring a Product Strategy Lead to shape how our AI agents do the work you used to do by hand.
Why This Role Is DifferentYou have built TPPs, competitive landscapes, and asset screening exercises. You know what good looks like, and you know how much manual effort it takes to get there.
This role exists because we believe that expertise can be encoded into AI systems. Your job is to teach our agents how to approach these workflows like a senior analyst would: what questions to ask, what sources to trust, what structure makes the output useful, and what separates a great deliverable from a mediocre one.
You'll define the rubrics, skills, and plans our agents follow. You'll test outputs relentlessly and identify where they fall short. You'll work directly with select clients to onboard them, train them, and understand what they actually need. And you'll bring all of that back into the product.
This is not a traditional product role, and it's not a traditional consulting role. It's a hybrid that only makes sense at a company building AI for a domain you already know deeply.
What You'll Do- Define and refine the "playbooks" our AI agents use to execute core workflows: target product profiles, competitive landscapes, pipeline screening, cross-trial comparisons, and opportunity assessments
- QA agent outputs extensively, identifying failure modes, edge cases, and opportunities to improve
- Own customer onboarding and training, helping users get value from the platform quickly
- Field ad hoc customer requests and translate them into product improvements
- Work directly with engineering to prioritize fixes and enhancements based on what you're seeing
- Stay deep in our agentic systems and LLM infrastructure; understand how the product works, not just what it produces
- 2-6+ years at a life sciences consulting firm, pharma strategy/BD team, or similar environment where you personally built TPPs, landscapes, or screening analyses
- You have strong opinions on what makes these deliverables good or bad
- Genuine curiosity about AI and LLMs; you've used these tools and thought about how they could change your old workflows
- High quality bar; you're bothered by sloppy outputs and will push until things are right
- Strong written and verbal communication; you can explain complex workflows clearly to engineers and clients alike
- Comfortable with ambiguity and moving fast
- Based in Boston or relocating; this is in-person
As we scale, this could evolve into leading a team of domain specialists, owning a product area end-to-end, or moving into customer-facing leadership. What it becomes depends on what you're good at and what the company needs.
What We Offer- Founder Access: Daily collaboration with founders on product direction and customer strategy
- Ownership: Your expertise directly shapes how our AI thinks and what it produces
- Trajectory: Early hire at a company with strong client traction and clear growth ahead
- Compensation: Competitive salary + equity
~10 people with experience from McKinsey, Google, Airbnb, Valo Health, Neu Trace, and Science.io.
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