Member of Technical Staff - Product Engineer

Description

About Warp

At Warp Sciences, our mission is to help the world discover new medicines faster—and build the capacity to do it here in America. We bring AI, robotics, and life sciences together in automated labs that design, run, and learn from experiments, with each experiment making the next one better. We’re not developing drugs of our own. We’re building the infrastructure for the people who do.

We're looking for an experienced full-stack software engineer to take technical ownership of the software that connects people to our autonomous laboratories. In this product engineering role, you'll own staff- and customer-facing workflows from scientific objectives and experiment planning through execution and results, with hands-on responsibility for the frontend, backend services, APIs, and data models.

You'll combine AI-native full-stack engineering with strong product sense: work directly with chemists, researchers, operators, and customers, decide what to build, and carry it through to reliable production use. We're looking for someone who has already led substantial software initiatives and can turn an open-ended problem into a technical plan, ship it, and improve it based on real use.

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.

Requirements

• We're looking for someone who has set technical direction for a product area, independently identified and scoped important problems, and led multiple engineers through delivery while remaining hands-on. You should be able to point to substantial systems you personally helped build, the decisions you owned, and the outcomes they delivered.
• 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.
• Experience with Python, Typescript and React
• Helpful, but Not Required
• Experience in any of the following is a plus:
• Scientific software, laboratory workflows, or tools for technical users.
• Domain knowledge in chemistry, drug discovery, or related scientific disciplines.
• Robotics, automation, or products that interact with physical systems.
• Complex workflow tools, operational interfaces, or collaborative applications.
• Data visualization, experiment tracking, and communicating uncertainty.
• AI-powered products and interfaces for guiding, reviewing, or correcting automated work.
• Example Problems You Might Work On
• Build a workflow for customers to specify scientific goals, constraints, and success criteria that our experiment-planning systems can act on.
• Turn a chemist's procedure, including exceptions and judgment calls, into a reviewable plan for robotic execution.
• Build an experiment monitoring and results interface that helps users understand uncertainty, intervene when needed, and use what they learned to plan the next experiment.