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A role for senior engineers to define how software gets built inside a frontier multimodal AI lab. The focus is on decision-making, technical direction, and using AI tools to achieve product and engineering outcomes, rather than just writing code.
Job Responsibility:
Direct AI coding agents to build production systems quickly, while maintaining discipline around system design, ownership, and real-world behavior
Decide what to build and what not to build as implementation costs drop
Set technical direction across engineering, including system boundaries, data models, ownership, and operational expectations
Co-own product direction in partnership with design and research, defining both what we build and how we build it
Make and stand behind hard tradeoffs between speed, reliability, complexity, and extensibility
Shape architecture early, before decisions harden into constraints
Own critical outcomes end-to-end, from problem framing to deployment and iteration
Set the standard for technical depth, judgment, and production ownership
Prevent avoidable complexity from entering the system as iteration speed increases
Mentor engineers on how to use AI tools effectively without lowering engineering rigor
Identify and eliminate recurring classes of design mistakes before they scale
Design systems and workflows that allow small teams to ship with outsized impact
Attract exceptional engineers and help them grow into high-judgment technical leaders
Increase team velocity without increasing operational and conceptual overhead
Requirements:
8+ years of experience building and shipping production software
Led multiple non-trivial projects, owning technical direction and execution end-to-end
Made high-stakes technical decisions that materially affected a system or product
Fluent with AI coding tools and have used them to ship real functionality in production or substantial side projects
Personally responsible for at least one clearly measurable, real-world success (e.g., led a product that reached 100k+ users or 1M+ monthly active users
designed and led a production system serving millions of requests per day
created or led an open-source project with 10k+ stars or meaningful external adoption)