Want to know if this job is worth applying to?
San Francisco, California, United States
Hybrid
Available
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.
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.
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
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
Managers who've only succeeded with well-defined roadmaps and stable, long-term projects
Leaders who struggle to give critical feedback or make hard calls on underperforming projects or team members
Those who need extensive process and structure to be effective
Managers who are protective of their team's work rather than focused on learning and impact
100% of the skills listed above
Formal certifications or education credentials
Direct machine learning or AI research experience
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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 aren't 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 you're interested in this work. We think AI systems like the ones we're 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.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
We 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. We're 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.
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 about our policy for using AI in our application process.