Engineering Manager, Labs en Anthropic

Presencial - San Francisco, CA; New York City, NY

Anthropic is building AI systems that are safe, beneficial, and transformative, with a mission to develop AI that benefits humanity. The Labs team serves as an internal accelerator, focusing on early‑stage AI capabilities that can generate substantial revenue or transform industries. The Engineering Manager, Labs will lead and grow a team of software engineers working at the intersection of research and product, fostering an environment of experimentation, psychological safety, and rapid learning cycles while maintaining clear direction and rigorous evaluation. This role requires strong people leadership, a technical background, and the ability to navigate ambiguity and early‑stage uncertainty.

Salary

USD 1 - 2

Requirements

Skills

Have 5+ years of engineering management experience, with significant time leading teams in ambiguous, early-stage, or zero-to-one environments
Have a strong technical background as an IC prior to moving into management, ideally including startup or founding engineer experience
Excel at creating psychological safety and helping teams navigate uncertainty without burning out
Are skilled at facilitating decision-making rather than imposing solutions—you help your team develop good judgment
Can model the behaviors you want to see: comfort killing projects, strong opinions loosely held, bias toward action
Have experience building and retaining teams of generalists who can adapt as priorities shift
Demonstrate exceptional interpersonal intelligence and can guide teams through rapid pivots while maintaining trust
Have strong strategic thinking to identify high-potential research breakthroughs and viable paths to productization
Communicate effectively and can tell the story of Labs' work and impact to leadership and the broader company
Have a comprehensive technical understanding across full-stack engineering and modern product development, with familiarity in AI/ML concepts
Care deeply about responsibly pushing the boundaries of AI capabilities in service of Anthropic's mission
Experience managing teams that work directly with research organizations or in R&D‑adjacent environments
Track record of helping engineers grow in non‑traditional career paths (where success isn't always tied to shipping features)
Experience with AI/ML products or working knowledge of large language models
Background in building teams from scratch or scaling early‑stage organizations
Experience managing through organizational change or frequent strategic pivots

Responsibilities

Lead and coach a high‑performing team of software engineers through the complexities of zero‑to‑one development, creating an environment that rewards experimentation and learning over attachment to specific outcomes
Hire and develop a team of versatile, entrepreneurial engineers who thrive in ambiguity and can flex across problem spaces
Partner effectively with design, product, and research leaders to align on direction and execution
Create a balanced environment that encourages both creative exploration and rigorous evaluation of what’s working
Help teams develop structured approaches to testing hypotheses, making kill decisions, and extracting learnings from both successes and failures
Facilitate effective collaboration between Labs engineers and research teams across Anthropic
Provide clear, actionable feedback and support engineer growth and development in an environment where projects shift frequently
Drive adoption of Labs’ prototypes and learnings to inform company‑wide product strategy
Represent the Labs perspective and roadmap in discussions with research, product, and leadership stakeholders
Maintain team stability and morale through the inherent uncertainty of early‑stage work

Technologies

full‑stack engineeringAI/ML conceptslarge language models

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