Foundry — The Command Center for AI-Driven Drug Development

Drug development shouldn’t be guesswork, not when patients are waiting.

Pathos is building a next-generation biotech with AI at the core. Not as a feature, but as the operating system for how medicines get developed. We believe most drugs don't fail because the science was wrong. They fail because they were tested in the wrong patients, with the wrong assumptions, in trials that couldn't answer the real question: who benefits, and why?

Pathos exists to change that. We're building the largest foundation model in oncology and pairing it with proprietary AI systems, deep oncology expertise, and 200+ petabytes of multimodal data linked to patient outcomes so we can make development decisions with more precision, much earlier.

This is not theoretical. We're well-capitalized, have the leadership to build a generational company, and operate in a way that most biotechs don't.

How We Build

Pathos does not operate like a traditional biotech. There is no middle management. There are no layers of approval. The company is designed, from the ground up, around small teams of 2 to 4 subject matter experts who each command hundreds of AI agents to do the work that used to require dozens of people.

Everyone builds. Everyone ships. Every function at Pathos — from clinical execution to asset selection to the foundation model itself — runs on this model. Our product velocity delivers meaningful outcomes in hours instead of weeks. This is not a future aspiration. It is how we operate today.

The people who thrive here are operators: deep experts who can specify what needs to happen, orchestrate AI agents to execute at scale, and make high-judgment calls that compound over time.

About the Role

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.

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 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.

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, 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.

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.

Why Pathos

• You will own the product that is the brain of the company. Foundry is not a feature inside a larger platform. It is the central nervous system of Pathos — every drug development decision flows through it. There is no higher-leverage product role in biotech.
• You will define what the next generation of biopharma looks like. Pathos is not a tech company that dabbles in bio or a biotech that bolts on AI. It is building the model for what drug development companies will become: small teams of experts commanding AI agents to make faster, better decisions. Foundry is the product expression of that thesis.
• The foundation is already built. You are not joining to build a product from zero. You are joining to take a live, production platform — with real users, real data, and real clinical decisions flowing through it — and turn it into something category-defining.
• The operating model gives you superpowers. You will lead with a small team and AI agents, not a traditional org. You will move at a speed you have not experienced before. The company is designed for people who want to build, not people who want to manage.
• The compute and data are unmatched. 200+ petabytes of multimodal oncology data. Partnerships with Tempus and AstraZeneca. 1,000+ H200 GPUs training the OFM. The raw materials for a generational AI product already exist. You get to shape how they reach the user.
• Direct access to the CEO and company leadership. No layers. Your product decisions directly shape company strategy.
• Competitive compensation including base salary, equity, and benefits.

Location

This is a hybrid role, requiring up to 3 days per week onsite, in our NYC headquarters.