AI Product Manager

Science is about to change more in the next decade than it has during the entire last century. AI agents will run experiments, test hypotheses, and explore solution spaces at a scale no human team ever could - and computational science will be where it happens first.

Code Ocean is building the platform where that future becomes real: the AI-native environment where teams of scientists and fleets of AI agents work side by side on the world's most important computational problems, from early drug discovery to translational research. The world's leading pharmaceutical companies, biotechs, and research organizations already run their science on Code Ocean — because we pair that ambition with the reproducibility, compliance, and security that real science demands.

About the RoleWe’re looking for an AI Product Manager to shape the future of scientific AI. You’ll own the evolution of our scientific AI assistant, helping researchers perform complex computational work faster, more reliably, and in a way that organizations can confidently deploy at enterprise scale.

This role sits at the seam between Product and R&D and is designed for someone who has lived on both sides: an engineer who became a product manager, or a product manager who still enjoys building.

This position includes spending time with customers and understanding emerging workflows, rapidly prototyping new experiences using AI coding agents, defining evaluation frameworks for agentic systems, and translating successful experiments into scalable product capabilities.

You’ll help determine not only what we build, but how AI becomes a trusted collaborator for computational scientists.

What you’ll do

• Define product strategy and roadmap for key AI capabilities across the Code Ocean platform.
• Work directly with computational scientists and AI teams to uncover opportunities where GenAI can meaningfully improve scientific workflows.
• Rapidly prototype new product experiences using AI coding assistants and validate them with users before engineering implementation.
• Transform successful customer experiments and proofs-of-concept into scalable product capabilities.
• Write clear product specifications and user stories that align customer needs with the platform’s technical architecture.
• Define evaluation frameworks, benchmarks, and success metrics for agentic systems, balancing scientific accuracy, reproducibility, usability, and performance.
• Partner closely with engineering, design, and scientific stakeholders to deliver high-impact AI features.

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• Drive adoption through continuous experimentation, product analytics, and customer feedback.

Requirements

• You’re a software engineer at heart with substantial hands-on development experience and enjoy working close to the code.