Senior Product Manager, Data Platform
Share
Job Location:
Boston, NH - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
At Manifold we are rebuilding how life sciences organizations work in the age of AI.
Life sciences is a $2 trillion industry where productivity directly impacts patient outcomes. Yet despite major advances in biology data generation and AI progress has slowed. Critical scientific questions are still blocked by fragmented data brittle infrastructure and workflows that were never designed for secure collaboration or AI-driven analysis.
Manifold is the AI platform for life sciences purpose-built to close this gap. We believe vertical AI is the next platform shift and life sciences requires a domain-specific approach. Manifold combines agentic AI deep life sciences context and enterprise-grade governance to help teams move from scientific question to insight faster so life-changing medicines reach patients sooner.
Manifold is used by leading organizations across industry and academia including Foundation Medicine the Broad Institute and the University of Virginia. The platform supports tens of thousands of users across hundreds of organizations globally. Manifold is backed by Reach Capital TQ Ventures Calibrate Ventures SilverArc Capital and Industry Ventures with $40M raised to date.
Our Culture
At Manifold we value intellectual rigor humility and mission-driven collaboration. We believe that technology is only as powerful as the people behind it and were building a culture that supports growth inclusion and curiosity. We work fast think deeply and strive to make a lasting impact on patients lives.
About the Role
Manifold is hiring a Senior Product Manager to own the product strategy and execution for our data platform: the infrastructure layer that determines whether researchers can move from scientific question to insight at the speed their work demands.
Every delay in drug discovery is measured in patient lives. Today researchers still spend weeks wrangling fragmented datasets waiting for pipelines and manually tracking provenance across disconnected systems. The insights are there. The ambition is there. The AI capabilities are there. But the data infrastructure between them hasnt kept up.
This role owns the data-to-agent pipeline. Youll ensure that every dataset Manifold touches is not just ingested and governed but agent-ready: equipped with the schema design semantic context and documentation that allow AI to serve researchers effectively. Youll define what agent-ready means as a product standard design the automated onboarding workflows that let us scale from dozens of datasets to thousands and ensure that governance and provenance become more rigorous as operations move to machine speed. This is a high-impact hands-on role for someone who sees that AI isnt just a feature layer on top of data infrastructure. Its changing what data infrastructure fundamentally is.
What Youll Do
- Own the product strategy and roadmap for our data platform defining how datasets become agent-ready across automated ingestion schema design governance and cross-dataset interoperability.
- Design the agent-driven data onboarding system including quality frameworks and human review gates that enable AI to discover plan load and validate datasets at scale.
- Define the agent-ready standard for datasets: the schema design semantic context and validation coverage needed before AI can reliably serve researchers.
- Build data governance and compliance capabilities that work at machine speed while meeting requirements for controlled-access datasets and regulated environments (GxP HIPAA 21 CFR Part 11).
- Partner with researchers bioinformaticians and data engineers to validate that AI delivers correct well-sourced answers to scientific questions.
- Prioritize features across academic and commercial users working with customers sales and engineering to identify high-leverage platform investments.
- Apply first principles thinking to evolving AI capabilities continuously reassessing what should be automated versus what requires human judgment.
What Youll Bring
- 5 years of product management experience with at least 3 years focused on data platforms AI infrastructure or B2B SaaS serving technical users.
- Experience in life sciences genomics clinical research or healthcare technology with familiarity in bioinformatics workflows scientific data types and regulatory requirements (GxP HIPAA 21 CFR Part 11).
- Strong understanding of data management fundamentals (ingestion transformation governance quality lineage) and how these change when AI operates at machine speed.
- Experience building products where AI agents are primary consumers of infrastructure or ability to reason about the interaction between AI capabilities and data architecture.
- First principles thinker who reasons from researcher needs and data fundamentals rather than inherited playbooks comfortable designing for adaptability as AI capabilities evolve.
- Strong technical fluency to collaborate with engineering on architecture decisions API design and schema modeling without requiring translation.
- Scrappy operator who balances zero-to-one innovation with enterprise requirements comfortable making decisions in ambiguous environments and moving quickly.
- High-agency mindset with excellent communication skills and demonstrated ability to conduct user research translate insights into requirements and iterate based on feedback.
Location
Hybrid Boston MA (current office is in Newton MA and Cambridge MA)
What We Offer
- Fully supported remote work (North American time zones)
- Comprehensive healthcare dental and vision plans
- Life insurance and disability coverage
- 401(k) with company match
- 12 weeks of paid parental leave
- Commuter benefits (for those who elect to work from our Newton MA office)
About the Team
- We are a team of proven startup operators with a track record of building successful technology companies
- Deep subject matter experts in oncology clinical practice precision medicine enterprise SaaS and healthcare technology
- Were a startupsome things are unstructured and thats part of the opportunity
- Were looking for mission-driven builders to help us create the next best AI powered platform in life sciences
Required Experience:
Senior IC
Key Skills
About Company
Cohort analysis. Data science. Multimodal dashboards. Bioinformatics. Governance. Do it all in one AI-native data platform purpose-built for life sciences.
