Engineering Manager, Anthropic Labs

The Anthropic Labs team serves as an internal accelerator tasked with rapidly prototyping and evaluating emerging AI capabilities from our research teams that are currently too nascent for our core product development process. The team's mandate is to validate product-market fit of research breakthroughs, build lightweight prototypes, collaborate closely with researchers, and generate learnings to streamline hand-off to product teams.

Responsibilities

• Manage a team of 6-10 versatile engineers, designers, and PMs to execute on the Labs team mission

• Prioritize the team's projects and resources to maximize impact in validating cutting-edge AI capabilities

• Foster a culture of rapid experimentation, validated learning, and seamless collaboration with research

• Design team processes for effective prototyping, user testing, product discovery, and transitioning projects

• Hire and coach top technical, design and product talent to maintain a high-performing and adaptable team

• Drive adoption of Labs' prototypes and learnings to inform company-wide product strategy and planning

• Represent the Labs perspective and roadmap in discussions with research, product, and leadership stakeholders

You may be a good fit if you

• 5+ years of engineering management experience leading high-performing teams in ambiguous environments

• Deep passion for responsibly pushing the boundaries of AI capabilities in service of Anthropic's mission

• Track record of enabling rapid product experimentation and iterative development of early-stage technologies

• Excellent cross-functional leadership skills to build alignment between research, engineering, product and design

• Strong strategic thinking to identify high-potential research breakthroughs and paths to productization

• Excellent communication skills to tell the story of Labs' work and impact to leadership and the company

• Adept at attracting, mentoring and retaining top talent from diverse backgrounds and skill sets

• Technical understanding across full-stack engineering, ML/AI, data science and modern product development

Deadline to apply: None. Applications will be reviewed on a rolling basis.