Product Manager, Study Lifecycle

We are rebuilding biotech for the AI era.

When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done.

Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma.

We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.

ROLE OVERVIEW

Benchling's platform helps the world's largest biotech and pharma companies develop therapies faster. As a Product Manager on the Study Lifecycle team, you'll work on products such as Studies, Sample Testing, and Process Development that scientists use to do their jobs. These products are fundamental to how scientific work gets organized, planned, and connected to analysis across different phases of a drug's development cycle.

We launched Bioprocess in 2024 to help process development teams design, execute, and analyze the experiments that turn a molecule into a manufacturable drug. In 2025, we announced a partnership with Merck (press release) to help their teams develop and test vaccines faster by bringing their analytical workflows onto a single platform.

Today, we're implementing the largest pharma companies in the world on Bioprocess, making the core product better every quarter, and expanding into Analytical Sciences and downstream QC. Our vision is to become the software that helps biopharmas bring therapies to patients twice as fast.

You'll be working at the intersection of experimental planning, execution data, and analysis, deciding how a single study ties them together around a scientific question. You'll figure out how to make powerful software feel intuitive to the scientists who depend on it every day, and dependable for the teams who integrate with it through our APIs.

You do not need a life sciences background. We're looking for a systems thinker with product taste who can walk into an unfamiliar domain, find the structural patterns, and be effective quickly. The best PMs we've seen for this kind of work have diverse backgrounds. They've built products across meaningfully different problem spaces and bring transferable instincts rather than a single industry playbook.

RESPONSIBILITIES

• You are responsible for Studies, Sample Testing, Process Development, and how experiment run data connects to analysis. That means you and your team decide what gets built, why, and in what order. You're accountable for the roadmap and the outcomes your roadmap produces, for scientists who use the product and for the customers and partners who integrate with it through our APIs.
• To inform what you build, you will spend time with customers and GTM teams to understand how scientists actually work, and how to turn what they ask for into what they need. It's your responsibility to bring that context back to the team and turn it into product direction.
• You'll work alongside design, engineering, GTM, and our customers to build and ship products. That means guiding product decisions with design and engineering, validating ideas early with customers, enabling customer experience teams on what you ship, and partnering with GTM to bring it to market.
• Use tools at your disposal (SQL, AI, developer environment) to be more effective. That can mean pulling your own data to answer a question, building a prototype to clarify direction, or finding a way to find and summarize customer discovery notes. The point isn't the specific tool. It's the drive to find what you need and move fast rather than wait for someone else.

QUALIFICATIONS

• 5-7+ years of product management or equivalent experience
• A diverse career history. You've worked across 2-3+ meaningfully different domains or product types. This is the single strongest signal we're looking for. It tells us you're a systems thinker who adapts, not someone who relies on one playbook.

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