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Member of Technical Staff - Product Engineer

Warp Sciences· Software
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South San FranciscoFull-timePosted 4d ago

About the role

Full-stack product engineering role leading technical ownership of software that connects autonomous laboratories, spanning frontend, backend services, APIs, and data models with direct collaboration with chemists, researchers, operators, and customers.

Responsibilities

  • Lead full-stack delivery of scientific workflows, from understanding user needs and defining scope through architecture, implementation, testing, deployment, and ongoing operation.
  • Independently scope initiatives spanning multiple months and engineers. Write technical designs, identify dependencies and risks, and break the work into milestones that deliver useful software along the way.
  • Work directly with chemists and customers to capture objectives, constraints, procedures, and exceptions. Translate those needs into clear requirements and usable workflows for automated experimentation.
  • Build user interfaces, backend services, APIs, and data models that connect experiment planning, robotic execution, and analysis. Work with other engineers to integrate across our internal systems.
  • Own the reliability and maintainability of what you ship. Add tests and monitoring, investigate production failures, and make deliberate tradeoffs among delivery speed, performance, and technical debt.
  • Make experiment status, results, uncertainty, and failures understandable so users can investigate problems and guide automated work. Use feedback and usage data to improve task completion and reduce manual effort.
  • Provide technical leadership through architecture discussions, code reviews, and mentoring while continuing to write production code. Use AI development tools to accelerate work and verify the correctness of their output.

Qualifications

  • You're an experienced full-stack engineer who has delivered and maintained production web applications, with substantial hands-on contributions to frontend interfaces, backend services, APIs, and data models.
  • You've personally led significant projects from an ambiguous problem to production adoption, with impact across a product area or team. You can explain what you owned and implemented, the tradeoffs you made, and how the work improved user or business outcomes.
  • You've served as a technical lead for work involving multiple engineers over multiple months: defining the approach, sequencing delivery, coordinating dependencies, and staying accountable through launch and follow-up.
  • You have strong software engineering foundations and have designed systems for reliability, performance, and maintainability. You can point to architectural decisions you've made and how those decisions held up in production.
  • You demonstrate product sense and sound judgment about user experience. You've worked directly with users, identified the underlying problem, and made scope and interaction decisions that helped them accomplish their work.
  • You communicate technical plans and tradeoffs clearly to engineers and non-engineers, and have helped other engineers deliver better work through code review, technical guidance, and mentoring.
  • You use AI development tools effectively and critically, with responsibility for understanding, testing, and maintaining the resulting code.
  • You've operated software after launch, used monitoring and user feedback to diagnose problems, and followed through on fixes and improvements.
  • Prior experience with chemistry or the life sciences is not required; curiosity and enthusiasm for learning are mandatory.

Skills

Required:Full-stack developmentTechnical leadershipProduct senseCommunicationAI tooling in developmentReliability and observability
Last updated Oct 26, 2026. Interested? Apply on the company site.
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About Warp Sciences

Warp Sciences | AI and robotics for faster drug discovery

Warp is the U.S. chemistry CRO helping scientists discover new medicines faster. We bring expert chemists, AI, and robotics together to make the molecules research teams need—and build automated labs that learn from every experiment.

AIroboticsdrug discoverychemistry CROautomation
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