Role: Head of Product

Location: New York, NY

Duration: Full-Time

What You Will Do

Own the product vision and roadmap

Define and drive the product vision for Foundry as the command center for AI-driven drug development.

Translate the needs of scientists, clinicians, clinical operations teams, business development, and leadership into a product roadmap that compounds client's competitive advantage.

Prioritize ruthlessly. Foundry touches every function in the company. You will constantly be choosing between building deeper within existing modules and expanding into new surfaces. You need to be right on the sequencing.

Shape the Foundry experience

Own the end-to-end user experience across every Foundry module: Command Center (portfolio decisions), Programs (per-asset deep dives with AI scenario analysis), Sprint (clinical trial monitoring and execution), Scout (asset selection and competitive intelligence), DEC (AI-powered drug evaluation committee), and Foundry Chat (conversational OFM interface).

Define how AI-generated insights - model predictions, scenario analyses, risk scores, competitive intelligence - are presented to users in a way that builds trust, enables fast decisions, and makes the right action obvious.

Design the interaction model between human operators and AI agents within Foundry. The DEC already deploys four AI personas that evaluate assets autonomously. You will define how users interact with, interrogate, calibrate, and override these agents.

Bridge the OFM to decisions

Work with the OFM team to determine how foundation model outputs - predictions, embeddings, uncertainty estimates, scenario models - surface in Foundry and become actionable for drug development decisions.

Define the product requirements for model reliability, explain ability, and calibration. When Foundry tells a program leader there's a 50% probability of hitting a Go decision, you own what that means to the user and how they should act on it.

Ensure Foundry's AI-powered recommendations (DEC scores, scenario analyses, competitive threat assessments) are calibrated, auditable, and earn the trust of the operators who rely on them.

Drive adoption and impact

Make Foundry indispensable. Every major portfolio decision at client should be platform-informed. In Q1 2026, we hit a 4/4 Platform-Informed Decision score. Your job is to make that the permanent baseline and expand it.

Define success metrics for Foundry: not just usage, but decision quality, decision speed, and decision confidence. Build the instrumentation to measure them.

Gather continuous feedback from operators across the company - from the CEO reviewing the Command Center to a clinical data scientist querying Sprint - and convert it into product improvements at the pace this company moves.

Build the product function

This is the first product role at client. You will define what product management looks like in a company built on small teams and AI agents. There is no existing playbook. You will write it.

Lead a small team of operators and orchestrate AI agents for user research synthesis, competitive intelligence, usage analytics, specification writing, and roadmap prioritization. You are not building a traditional PM org. You are building a product function designed for the client operating model.

Partner daily with the Head of Engineering (who leads the Foundry development team) and work cross-functionally with every team at client - because Foundry is the product that connects them all.

Who You Are

Minimum Qualifications

Proven track record leading product for a complex, data-intensive platform - enterprise SaaS, AI/ML platforms, healthcare technology, or similar. You have owned product vision and roadmap for a product that matters.

Deep understanding of how AI/ML products work, not just what they do. You can have a real conversation with ML engineers about model outputs, confidence intervals, and evaluation metrics. You don't need to train models yourself, but you need to understand what they can and cannot do.

Experience building products where the user is a domain expert (scientist, clinician, analyst, operator) rather than a consumer. You know the difference between making something simple and making something simplistic.

Demonstrated ability to operate at both the strategic level (product vision, multi-quarter roadmap) and the execution level (writing specs, reviewing designs, shipping weekly). In a 60-person company, the Head of Product does both.

Strong product instinct for how AI-generated insights should be presented to enable high-stakes decisions. You have thought seriously about trust, calibration, explain ability, and the user experience of uncertainty.

Bias toward building. You are a maker, not a process person. You have opinions, you ship fast, and you iterate based on what you learn.

Strongly Preferred

Experience in healthcare, biotech, life sciences, or drug development. You understand (or can learn fast) the context in which Foundry's users operate: clinical trials, regulatory milestones, portfolio investment decisions, competitive intelligence in oncology.

Experience building AI-agent-powered products or workflows - systems where AI personas, autonomous agents, or multi-agent architectures are core to the user experience.

Experience as the first product hire or building a product function from zero. You know what it takes to establish product discipline in an engineering-led organization without slowing it down.

Comfort with a high-intensity, high-autonomy, extremely flat environment. You will have more ownership and more direct access to leadership than at any previous role. The tradeoff is that there is no one between you and the outcomes.

Nice to Have

Experience building decision-support platforms, command centers, or operational dashboards for high-stakes environments (healthcare, finance, defense, energy).

Experience with clinical trial data, real-world evidence, or translational research workflows.

Technical background (engineering, data science, computational biology) in addition to product experience.

Experience building products that integrate foundation models or large language models as a core capability.