Engineering Manager, Labs at Anthropic

About AnthropicAnthropics 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.About the roleAt Anthropic were 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. Were 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.Were seeking an Engineering Manager to lead and grow our team of software engineers working on early-stage AI capabilities. Youll 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.Youll partner closely with designers product managers and research teams to transform emerging AI capabilities into potential productsand youll need to be as comfortable shutting down projects that arent working as you are championing the ones that are.ResponsibilitiesLead 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 outcomesHire and develop a team of versatile entrepreneurial engineers who thrive in ambiguity and can flex across problem spacesPartner effectively with design product and research leaders to align on direction and executionCreate a balanced environment that encourages both creative exploration and rigorous evaluation of whats workingHelp teams develop structured approaches to testing hypotheses making kill decisions and extracting learnings from both successes and failuresFacilitate effective collaboration between Labs engineers and research teams across AnthropicProvide clear actionable feedback and support engineer growth and development in an environment where projects shift frequentlyDrive adoption of Labs prototypes and learnings to inform company-wide product strategyRepresent the Labs perspective and roadmap in discussions with research product and leadership stakeholdersMaintain team stability and morale through the inherent uncertainty of early-stage workYou may be a good fit if youHave 5 years of engineering management experience with significant time leading teams in ambiguous early-stage or zero-to-one environmentsHave a strong technical background as an IC prior to moving into management ideally including startup or founding engineer experienceExcel at creating psychological safety and helping teams navigate uncertainty without burning outAre skilled at facilitating decision-making rather than imposing solutionsyou help your team develop good judgmentCan model the behaviors you want to see: comfort killing projects strong opinions loosely held bias toward actionHave experience building and retaining teams of generalists who can adapt as priorities shiftDemonstrate exceptional interpersonal intelligence and can guide teams through rapid pivots while maintaining trustHave strong strategic thinking to identify high-potential research breakthroughs and viable paths to productizationCommunicate effectively and can tell the story of Labs work and impact to leadership and the broader companyHave a comprehensive technical understanding across full-stack engineering and modern product development with familiarity in AI/ML conceptsCare deeply about responsibly pushing the boundaries of AI capabilities in service of Anthropics missionStrong candidates may also haveExperience managing teams that work directly with research organizations or in R&D-adjacent environmentsTrack record of helping engineers grow in non-traditional career paths (where success isnt always tied to shipping features)Experience with AI/ML products or working knowledge of large language modelsBackground in building teams from scratch or scaling early-stage organizationsExperience managing through organizational change or frequent strategic pivotsWhat were not looking forManagers whove only succeeded with well-defined roadmaps and stable long-term projectsLeaders who struggle to give critical feedback or make hard calls on underperforming projects or team membersThose who need extensive process and structure to be effectiveManagers who are protective of their teams work rather than focused on learning and impactCandidates need not have100% of the skills listed aboveFormal certifications or education credentialsDirect machine learning or AI research experienceDeadline to apply: None. Applications will be reviewed on a rolling basis.The expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity benefits and may include incentive compensation.Annual Salary:$405000 - $485000 USDLogisticsEducation requirements: We require at least a Bachelors degree in a related field or equivalent experience.Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.How were differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application processRequired Experience:Manager Key Skills Hospitality Experience,Go,Management Experience,React,Redux,Node.js,AWS,Mechanical Engineering,Team Management,Leadership Experience,Mentoring,Distributed Systems Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 405000 - 485000