The Impact You’ll Make

Recursion is leading an era of autonomous science – iterating across the discovery process, leveraging machine learning and agents built-for-purpose to uncover novel insights across biology and chemistry, fueling our clinical-stage pipeline. As the Senior Product Manager for Agentic Science, you will sit at the intersection of drug discovery and AI, serving as the critical translator between our scientific teams and the agentic systems they depend on. Your primary focus will be on outcomes: ensuring our agents impact Recursion’s pipeline through demonstrably accelerating discovery.

This role is not about maintaining a static roadmap; it is about navigating the frontier of a rapidly evolving field. You will partner closely with drug discovery scientists to understand their workflows, translate their needs into agent task definitions, and design and maintain the benchmarks that -ensure our agents are driving value. As the field evolves rapidly, you will help the team distinguish real scientific progress from superficially promising results.

In this role, you will:

• Champion Benchmarking for Agentic Science: Drive alignment across scientific and technical teams around evaluation frameworks that measure agent performance against scientifically meaningful outcomes, continuously refining them as the field evolves.
• Drive Outcome-Focused Product Development: Keep the team anchored to what matters: building agents that meaningfully advance drug discovery programs, not just executing tasks.
• Evangelize the "Human-in-the-loop" Evolution: Work with scientific stakeholders to define interfaces where humans review, validate, and shape agent reasoning, ensuring our scientists evolve from "operators" to "architects" of discovery.
• Monitor the Competitive Benchmark Landscape: Track how leading organizations across pharma AI, biotech, and foundation model research are measuring agentic performance. Ensure Recursion's evaluation frameworks stay calibrated against external standards, so our benchmarks reflect genuine scientific progress rather than internally optimized metrics.

The Team You’ll Join 

You will join a cross-functional team of software engineers, data scientists, AI/ML scientists and drug discovery biologists and chemists who build the technical bedrock that enables autonomous science, including agent orchestration, guardrails, and the connectivity between our digital and physical assets. You will work closely with the Discovery teams (the users of these agents), the AI Research teams (who build cutting-edge models), and our automated biology and chemistry lab teams (who generate the data that feeds into the models).

The Experience You’ll Need

• Background in Drug Discovery or AI-driven Science: You have direct experience working in drug discovery, biotech, or AI-driven scientific research. Ideally, you will have worked hands-on with agentic systems (or agents) in a scientific context. You can credibly partner with PhD-level scientists and translate between scientific goals and technical systems without losing fidelity on either side.
• Fluency in Modern AI: You don't need to be an engineer, but you follow the AI landscape closely and understand how LLMs and agentic systems actually work in practice. Bonus points if you've benchmarked an agent(s) or worked hands-on with agentic tools, even outside a formal work context.
• Experimentation-First Mindset: You have a natural instinct for working through rapid prototyping cycles, whether in a product, research, or scientific context. You'd rather run a quick experiment than write a long spec.
• Systems Thinking: You can hold the big picture in mind while working in the details. You think naturally about how multiple agents interact, where they hand off to each other, and where humans need to be in the loop to catch errors, validate outputs, or make judgment calls that agents can't.

Communication & Influence: Strong written and oral skills to align diverse stakeholders (PhDs in Biology, ML and software engineers, AI Researchers) around a unified technical vision.

Working Location & Compensation:

This is an office-based, hybrid position at one of our offices in either Salt Lake City, Utah or New York City, New York. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $142,500 - $220,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

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Lucid Software is the leader in visual collaboration, helping teams see and build the future from idea to reality. Our products, business, and workplace culture have received numerous awards, such as being named to the Forbes Cloud 100 and a Fortune Best Workplace in Technology. Lucid is a hybrid workplace, allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team. At Lucid, we hold true to our core values of teamwork over ego, innovation in everything we do, individual empowerment, initiative, and ownership, and passion and excellence in every area. We value diversity and are dedicated to creating an environment that is respectful and inclusive for everyone.

We are looking for an impact-oriented Product Manager to bridge the gap between complex data and human collaboration. You’ll join a high-caliber squad of designers and engineers building everything from tailored, persona-based solutions to the scalable infrastructure that powers them—including intelligent features that leverage AI. We aren’t just looking for a "feature-shipper"; we need a strategic partner who thrives on technical complexity and maintains a relentless obsession with elegant user experiences. If you are a natural mentor who excels at distilling the ambiguity of a rapidly evolving platform into a clear vision, join us—let’s build the future of visual collaboration together.

Responsibilities:

• Drive Cross-Functional Alignment: Partner with UX, Engineering, Marketing, and Sales to champion the user and deliver high-impact features.
• Deepen Customer Insight: Conduct effective qualitative and quantitative research to become the primary advocate for user needs and motivations.
• Own the Product Lifecycle: Lead features from initial ideation and specification through launch, analysis, and continuous iteration.
• Prioritize for Impact: Ruthlessly prioritize roadmaps and communicate strategic trade-offs to stakeholders to meet core business goals.
• Deliver Excellence: Define and move key business metrics (KPIs) through a disciplined approach to product optimization and data analysis.
• Bridge Design & Tech: Collaborate with Designers to achieve world-class UX while working alongside Engineers to navigate complex technical trade-offs.

Requirements:

• Education & Experience: Bachelor’s degree and 3+ years of software Product Management experience, with a proven track record of driving core business metrics in a B2B SaaS environment.
• Strategic Discovery: Solid skills at de-risking initiatives by using creative, lean methodologies to validate hypotheses and ideas quickly.
• Versatile Communication: Ability to act as a "translator" across the organization—communicating effectively with everyone from engineers and sales reps to executive-level customers and end users.
• Technical & Design Fluency: Proficient in navigating complex technical trade-offs and partnering with UX to translate complicated workflows into simple, intuitive experiences.
• Teamwork over Ego: A history of building high-trust, productive relationships with Engineering and UX counterparts that foster a culture of collective success.
• Growth Mindset: A proactive approach to seeking feedback, learning quickly, and iterating based on data and team insights.

Preferred Qualifications:

• Design Sensibility: A high bar for product polish and a keen eye for how design and brand consistency drive user trust and engagement.
• Domain Expertise: Experience building document-centric or canvas-based solutions within the SaaS space (e.g., editors, whiteboarding, or content management).
• Growth Methodology: Experience with rapid prototyping and lean learning techniques, including the ability to design and interpret A/B and multivariate tests.
• Data Fluency: Comfort navigating complex data sets to uncover the behavioral insights that inform a winning product roadmap.

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