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Benchling is an AI platform for biotech R&D used by over 200,000 scientists globally, including major pharma companies like Sanofi and Moderna. The Process Execution team builds the workflow engine and products (Workflows, Recipes, Assays, Requests, Worklists) that enable biotech and pharmaceutical companies to design, execute, and manage complex scientific manufacturing processes at scale.
As a Software Engineer on this team, you will work full-stack across the workflow orchestration platform and products built on top of it. You'll build features that scientists and operators depend on daily to manage manufacturing workflows, integrate products across the Benchling ecosystem to help customers automate their work, and shape how AI tooling gets integrated into the platform. The team is pioneering how AI agents can be given tools and skills to optimize both customer execution and process improvement.
Key responsibilities include:
- Build and maintain core features across the workflow engine, recipes, and assays — full-stack across backend services and frontend product surfaces
- Contribute to data modeling that underpins workflow graph structures, task execution tracking, and work management
- Build products on top of the workflow orchestration engine for industry standard processes
- Collaborate cross-functionally with the AI Agents team to expose the workflow engine and products to enable AI-assisted scientific work
- Write well-documented, well-tested code and participate actively in code review
- Engage with on-call rotation (approximately 1.5 weeks per person per quarter) to support a customer-facing product used continuously by life science teams
- Partner with product management and design to translate complex scientific workflow needs into intuitive, reliable software
- Embrace AI-assisted development practices as a core part of the development workflow
The team currently consists of six engineers with strong latitude to shape core decisions from UI design to UX flows to system architecture and implementation. The work is high-stakes and high-impact: the systems you build are used daily by scientists and operators running mission-critical scientific work in regulated manufacturing environments where correctness is non-negotiable.
REQUIREMENTS:
- 3+ years of professional software engineering experience building and maintaining production systems
- Full-stack experience — comfort working across backend (Python or similar) and frontend (React or equivalent)
- Strong product sense with the ability to iterate based on user feedback and evolving requirements
- Collaborative mindset — able to work closely with engineers, PMs, and cross-functional partners across a complex codebase
- Willingness to engage with AI-assisted development tools (Cloud agents, Cursor, Claude Code, or equivalent) as a primary mode of working
- Interest in learning about life sciences — prior biotech knowledge not required, but genuine curiosity is required
- Willing to work onsite in San Francisco office three days a week (Monday, Tuesday, Thursday)
NICE-TO-HAVE:
- Experience with workflow engines, orchestration systems, or similar data-flow platforms
- Familiarity with regulated software environments (GxP, FDA 21 CFR Part 11, or similar)
- Background in React, Python, and PostgreSQL
- Experience working in enterprise B2B SaaS serving large, complex organizations
