Engineering Manager, Labs

Anthropic·San Francisco, CA | New York City, NYlead

In short

→Liderar ingenieros en el desarrollo de prototipos de IA de cero a uno en un entorno de alta incertidumbre.
→Trabajar en estrecha colaboración con investigación, producto y diseño para convertir ideas en posibles productos.
→Destacar por tu capacidad de tomar decisiones difíciles, como cerrar proyectos y fomentar un ambiente de aprendizaje seguro.

Fluency in English is required for collaboration across global teams.

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What they ask for

✓5+ años de experiencia en management de ingeniería
✓Experiencia técnica previa como ingeniero individual
✓Habilidades comprobadas en ambientes inciertos y de cero a uno
✓Capacidad para crear seguridad psicológica en equipos
✓Habilidad para facilitar decisiones sin imponer soluciones
✓Experiencia en startups o como ingeniero fundador

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software engineeringAI systemszero-to-one developmentprototypingproduct strategyresearch collaborationdecision-making frameworksteam leadershippsychological safetyrapid iteration

Who should you write to at Anthropic?

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Engineering Manager, Labs About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP. We're seeking an Engineering Manager to lead and grow our team of software engineers working on early-stage AI capabilities. You'll create an environment where engineers can thrive in the inherently uncertain world of zero-to-one development while maintaining clear direction and psychological safety for the team. Success in this role requires exceptional people leadership, the ability to facilitate rapid learning cycles, and skill in helping teams navigate the natural ups and downs of early-stage exploration. You'll partner closely with designers, product managers, and research teams to transform emerging AI capabilities into potential products—and you'll need to be as comfortable shutting down projects that aren't working as you are championing the ones that are. 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 You may be a good fit if you • 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 acti

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