Benchling
biotech
EngineeringLeader,Notebook
Neural analysis suggests this role is
optimal for Manager candidates.
“Engineering Leader, Notebook at Benchling. Skills: Engineering leadership, Platform re-architecture, AI feature development, Cloud-based web application development, Team development. Recruit, develop, and lead a team of exceptional software engineers. Drive execution of foundational technical initiatives and API delivery”
What You'll Achieve.
Accelerate the pace of life sciences research and development; Make scientists more efficient in their work; Improve the performance, reliability, scalability, and extensibility of the team's platform; Unlock new APIs, AI-powered features, and future product capabilities; Enable customer-facing wins; Grow high-trajectory, early-to-mid-career engineers into leaders with company-wide impact
Industry & Context.
Solving humanity's most pressing problems; Solving challenging performance problems for large-scale web applications
On-site 3 days per week (Monday, Tuesday, and Thursday)
What They're Looking For.
Must Have
2+ years of experience as an engineering manager, 5+ years of experience as a software engineer, Experience building cloud-based web applications, ideally on both the front- and back-end, Experience leading teams through technically complex, long-running platform or infrastructure projects — such as large-scale refactors, backend migrations, or re-architecting core systems — where correctness, performance, and scalability matter more than speed of feature delivery, Comfort with and enthusiasm for hands-on technical leadership: you should be excited to write and review code, and view reviewing your engineers' code as an essential part of the job, Interest in and ability to develop AI-powered product features, including integrating LLMs and AI capabilities into scientific software workflows, Familiarity with software engineering management productivity tools (e. g. , Jira or other bug database), as well as observability tools for logging, metrics, and alerting
Nice to Have
Interest in / curiosity about biotech! Prior experience with biotech, pharmaceutical, or other life sciences business sectors or education is not required, but is absolutely a plus, Frontend development experience, especially with React and TypeScript, Python programming experience, Experience building both customer-facing features and developer platform / reusable component libraries, Experience designing and delivering customer-facing APIs, particularly in a product where the API must coexist with a rich UI, Experience with performance optimization, particularly moving computation from client to server and managing the performance implications of that transition, Experience in enterprise B2B SaaS, particularly in regulated industries, Experience solving challenging performance problems for large-scale web applications
What You'll Do.
and lead a team of exceptional software engineers
Drive execution of foundational technical initiatives and API delivery
Improve the performance
and extensibility of the team's platform
Identify and prioritize opportunities for AI-powered features
Ensure excellent technical decisions
Lay the foundations for new products and extend mature ones
Directly perform code reviews and engage with the team's codebase
Meet with customers to understand their science and what they need from Benchling
Develop and execute quarterly plans with clear metrics and targets
Contribute to engineering-wide organizational improvements
How You'll Work.
Team & Collaboration
Partner closely with product and design to define roadmap and long-term product strategy; Partner closely with engineers on the team to ensure excellent technical decisions; Work with cross-functional partners in product, design, sales, and marketing; Contribute to engineering-wide organizational improvements as part of the management team
Communication Scope
Communicate strategy into execution; Engage with customers; Partner with cross-functional teams
Process & Methodology
Define roadmap and long-term product strategy, Drive execution of foundational technical initiatives, Develop and execute quarterly plans with clear metrics and targets, Lead teams through large-scale refactors and platform migrations
Full Job Description
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 is on a mission to accelerate the pace of life sciences research and development. To do that, we build a suite of tools that scientists use daily to solve humanity's most pressing problems. The tools we build must be optimized to make scientists more efficient in their work, across a broad spectrum of research, development, and manufacturing tasks. This is where the Notebook team comes in. The Notebook team builds a platform and user experiences to help scientists and lab operators more efficiently capture and work with their data. The team develops structured tables, forms, and data entry tooling that enables scientists to input, transform, and propagate their laboratory data downstream. W
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