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 Role
We’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.
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.
You have built and shipped AI-native products powered by LLMs, agents, or modern AI services.
You are comfortable prototyping ideas yourself using AI coding assistants and understand how to turn prototypes into production-ready products.
You have experience translating complex AI capabilities into detailed product specifications and engineering requirements.
You actively follow advances in GenAI, agentic systems, evaluation methodologies, and AI developer tooling, and enjoy experimenting with emerging technologies.
You have at least three years of experience owning products, including strategy, prioritization, roadmaps, KPIs, and cross-functional execution.
You enjoy partnering with customers to understand difficult problems and validating solutions through rapid iteration.
You’re excited by the challenge of building trustworthy AI for scientific research, where reproducibility, compliance, and explainability are first-class product requirements.
You hold a Bachelor’s degree or higher in Computer Science or a related technical field.
Experience in building AI products for regulated industries, life sciences, healthcare, or research environments is a strong plus.
Why This Role
Large language models are changing how science is done—but scientific AI demands more than a chat interface that produces impressive-looking figures and explanations. It requires systems that researchers can trust, organizations can govern, and enterprises can deploy responsibly across many and large teams.
You’ll help define how AI agents become reliable collaborators in computational research while working with the world’s leading pharmaceutical companies and research organizations. If you’re excited about building AI products that solve technically demanding, high-impact problems, we’d love to talk.
Equal Employment Opportunity
Code Ocean is committed to creating a welcoming and inclusive workplace where people from all backgrounds can thrive. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, disability, age, veteran status, or any other protected characteristic under applicable law
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.
Drive adoption through continuous experimentation, product analytics, and customer feedback.
You’re a software engineer at heart with substantial hands-on development experience and enjoy working close to the code.
You have built and shipped AI-native products powered by LLMs, agents, or modern AI services.
You are comfortable prototyping ideas yourself using AI coding assistants and understand how to turn prototypes into production-ready products.
You have experience translating complex AI capabilities into detailed product specifications and engineering requirements.
You actively follow advances in GenAI, agentic systems, evaluation methodologies, and AI developer tooling, and enjoy experimenting with emerging technologies.
You have at least three years of experience owning products, including strategy, prioritization, roadmaps, KPIs, and cross-functional execution.
You enjoy partnering with customers to understand difficult problems and validating solutions through rapid iteration.
You’re excited by the challenge of building trustworthy AI for scientific research, where reproducibility, compliance, and explainability are first-class product requirements.
You hold a Bachelor’s degree or higher in Computer Science or a related technical field.
Experience in building AI products for regulated industries, life sciences, healthcare, or research environments is a strong plus.
Why This Role
Large language models are changing how science is done—but scientific AI demands more than a chat interface that produces impressive-looking figures and explanations. It requires systems that researchers can trust, organizations can govern, and enterprises can deploy responsibly across many and large teams.
You’ll help define how AI agents become reliable collaborators in computational research while working with the world’s leading pharmaceutical companies and research organizations. If you’re excited about building AI products that solve technically demanding, high-impact problems, we’d love to talk.
