Software Engineer, Full Stack (Enterprise 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.

 The Enterprise Lifecycle team is a newly formed engineering team dedicated to ensuring Benchling's largest customers—internationally recognizable names developing some of the world's most innovative treatments and cures—are successful in regulated environments. Our mission is to help them prove their products are safe for human consumption and navigate complex regulatory processes with confidence and efficiency.

The Enterprise Lifecycle team owns critical capabilities including auditing, document lifecycle management, exports, and backups. These are the foundational systems that ensure data integrity, compliance, and auditability across Benchling's platform. Our work directly enables Benchling's expansion into the enterprise market and supports customers navigating some of the most rigorous regulatory requirements in the world.

Looking forward, we are exploring how AI can transform the compliance experience for our customers. We envision intelligent systems that help QA teams and auditors navigate complex regulatory requirements, surface relevant information from vast datasets, and streamline compliance workflows. As a Software Engineer on this team, you'll have the opportunity to shape how AI is applied to these high-stakes, accuracy-critical domains.

The team currently consists of seven engineers working on systems that touch nearly every part of the product. You will collaborate extensively with other engineering teams across the organization, as these horizontal systems require deep integration and coordination. This is high-stakes, high-impact work where correctness and attention to detail matter enormously.

As a software engineer on this team, you'll ship products that help customers meet regulatory requirements while building platform capabilities that raise the bar for engineering across the company. You will own horizontally impactful systems while delivering features that appear in FDA submissions and GxP-regulated workflows. This role sits at the intersection of platform and product work, requiring both deep technical expertise and strong product sense.

• Design, develop, and deliver features and systems that advance Benchling's product and business goals across areas such as audit coverage, export systems, document lifecycle management, and regulatory compliance workflows

• Own end-to-end delivery of significant projects — from planning and development through deployment, maintenance, and monitoring — across multi-sprint, multi-person initiatives

• Design technical solutions for open-ended problems, working independently on smaller projects and collaborating with senior engineers on larger efforts

• Write well-documented, well-tested code that follows company best practices, and execute refactors that improve the codebase

• Participate actively in code reviews, providing thoughtful and actionable feedback that raises the quality of team output

• Partner with product management, design, and cross-functional stakeholders to translate customer needs into technical solutions, clarifying requirements and surfacing tradeoffs

• Explore opportunities to leverage AI and LLMs to improve compliance workflows, audit reporting, and regulatory navigation for our customers

• Contribute to team discussions and process improvements, and help resolve communication gaps within and across teams

• Collaborate with other teams to ensure our horizontal platform systems integrate well and support product development across the organization 

• 5+ years of experience as a software engineer, with demonstrated growth in scope and independence

• Experience delivering multi-sprint projects end-to-end, including planning, task breakdown, and tracking

• Strong experience building backend systems and APIs for cloud-based web applications

• Familiarity with frontend development and willingness to build full-stack solutions when needed

• Ability to design technical solutions that account for edge cases, performance, scalability, and maintainability

• Comfort working in ambiguous problem spaces where methods and outcomes involve tradeoffs

• Clear written and verbal communication skills, with the ability to synthesize project status and share it with stakeholders

• A collaborative mindset — willingness to mentor junior engineers and help teammates be more productive

• Interest in learning about life sciences. Prior biotech knowledge not required, but enthusiasm to learn is essential

• Experience building software for highly regulated industries (pharmaceuticals, medical devices, aerospace, financial services)

• Familiarity with compliance requirements such as FDA 21 CFR Part 11, GxP, or similar regulatory frameworks

• Exposure to audit logging systems, audit trails, or regulatory reporting capabilities

• Interest in AI/LLM applications, particularly in domains requiring high accuracy and reliability

• Experience with document management systems, version control, or content lifecycle management

• Familiarity with data export systems or large-scale data processing

• Experience with Python and PostgreSQL

• Experience with React or similar JavaScript-based frontend frameworks

• Previous work in enterprise B2B SaaS

• Education or work experience in life sciences, biotechnology, or pharmaceutical sectors

We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday).

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Benchling welcomes everyone.

We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.