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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 Data Input team comes in. The Data Input 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. We focus on both the user experience of scientists working in the lab as well as the ability of other software developers to integrate the components we create into their applications. Increasingly, our work involves developing AI-powered features that make data entry faster, more accurate, and more intelligent.
Job Responsibility:
Recruit, develop, and lead a team of exceptional software engineers
Partner closely with product and design to define roadmap and long-term product strategy. In the near term, drive execution of foundational technical initiatives and API delivery that improve the performance, reliability, scalability, and extensibility of the team's platform, including identifying and prioritizing opportunities for AI-powered features as the platform matures
Hold an unreasonably high bar for product quality as the team executes its work
Partner closely with engineers on the team to ensure excellent technical decisions as you 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, particularly around data entry workflows in research, development, and manufacturing contexts
Translate strategy into execution by developing and executing quarterly plans with clear metrics and targets
Contribute to engineering-wide organizational improvements as part of the management team
Requirements:
2+ years of experience as an engineering manager
5+ years of experience as a software engineer, with experience as a technical lead on projects that involve multiple engineers across multiple quarters
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
Grown high-trajectory, early-to-mid-career engineers into leaders with company-wide impact
Experience (and enjoy!) working directly with customers to inform your team's roadmap
A track record of working with cross-functional partners in product, design, sales, and marketing
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
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
Nice to have:
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 we offer:
Competitive total rewards package
Broad range of medical, dental, and vision plans for employees and their dependents
Fertility healthcare and family-forming benefits
Four months of fully paid parental leave
401(k) + Employer Match
Commuter benefits for in-office employees and a generous home office set up stipend for remote employees
Mental health benefits, including therapy and coaching, for employees and their dependents