Head of Product

Pathos•New York, NY

2d•Hybrid

About The Position

The First Product Leader at Pathos. The Owner of Foundry. Foundry is the brain of Pathos. It is the command center where every major drug development decision gets made — which assets to pursue, which to kill, how to design trials, how to select patients, when to pivot, when to invest. It is the product layer that sits on top of our Oncology Foundation Model and translates AI predictions into clinical and business decisions worth hundreds of millions of dollars. Today, Foundry is live and in production. It powers portfolio-level decision-making through an executive Command Center with real-time capital-at-risk views. It delivers AI-generated scenario analysis for every clinical program — modeled probabilities, recommended paths, integrated real-world data from 200+ petabytes of multimodal patient records. It runs clinical trial monitoring with live enrollment, safety, and biomarker data across active studies. It deploys four specialized AI personas that autonomously evaluate drug assets across seven dimensions and deliver investment-grade PURSUE/WATCH/PASS/FAIL recommendations. It screens thousands of conference abstracts and pipeline assets through automated intelligence workflows. And it provides a conversational AI interface backed by the OFM for on-demand research and analysis. This is real. It is in production. And it has no dedicated product leader. You will be the first. You will own Foundry as a product — its roadmap, its experience, and its impact on every decision Pathos makes. You will work directly with the CEO, the engineering team that builds it, and the scientists and operators across the company who depend on it every day. You will shape what Foundry becomes next: the AI companion that every drug developer at Pathos — and eventually beyond Pathos — cannot imagine working without.

Requirements

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, explainability, 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.

Nice To Haves

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.
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.

Responsibilities

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 Pathos’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, explainability, 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 Pathos 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 Pathos. 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 Pathos operating model.
Partner daily with the Head of Engineering (who leads the Foundry development team) and work cross-functionally with every team at Pathos — because Foundry is the product that connects them all.