Engineering Manager, Platform Foundations
Anthropic · Added yesterday
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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.
We are looking for a to join our Platform org to lead and grow teams of software engineers working on the foundational building blocks that Anthropic’s product organization runs on.
This is product infrastructure at the highest scale. Our user base and performance demands are growing at an unprecedented rate, and the team's mandate is to scale ahead of that demand: evolving our systems to meet customer growth, running our stack across all three major cloud providers (AWS, Azure, and GCP), and unblocking the bottlenecks that enable our org's development speed at the highest standard of quality.
You'll lead an organization of multiple teams, and you'll set the strategy and standard for performance, reliability, and output for product engineers. This is a company-critical charter: the output of this org largely determines how fast the entire product organization can move and how far we can scale. You'll define direction and partner with leaders across product, research, and infrastructure. Just as importantly, you'll grow the leaders under you, developing managers and senior engineers so the org's leadership bench deepens as it scales.
Lead a multi-team engineering organization through other managers and tech leads — owning hiring, the development of your leaders, and a culture where strong people do their best work and stay
Set the technical strategy and multi-year roadmap for product infrastructure: compute, networking, the systems serving our APIs and apps, and the developer productivity tooling the whole product org runs on
Bring clarity to a company-critical charter: defining direction, sequencing the work, and derisking large initiatives that span multiple teams
Scale our infrastructure to meet rapidly growing customer demand while holding a high bar on reliability and cost efficiency
Drive the operation of our stack across all three major cloud providers, including complex multi-region and international deployments
Raise development velocity across the entire product engineering org by finding and removing the bottlenecks that hold it back, without trading away quality
Partner deeply with product, research, and infrastructure leaders, and make the architectural decisions that serve the whole organization
Manage a broad set of senior stakeholders and keep executives and partner teams aligned as priorities shift
Grow the next layer of engineering leadership by developing managers and senior ICs so the org can take on more
Have 10+ years of engineering experience with a deep track record of engineering leadership (8+ years), including running a multi-team organization and managing managers at significant scale
Have built and operated product infrastructure at very high scale, with stringent reliability and efficiency requirements
Have led complex multi-region or international infrastructure deployments
Have led an organization through a period of major growth or transition — for example, taking systems and teams from early-stage to enterprise-grade while absorbing order-of-magnitude increases in demand
Have both a startup environment and significant enterprise-scale company experience, and know how to navigate the challenges that come with that scale
Are an excellent developer of leaders, with a strong record recruiting, scaling, and retaining engineering talent while growing managers and senior ICs
Manage senior stakeholders well. You communicate clearly, build trust across functions, and keep executive partners aligned through ambiguity
Have a strong technical background to set architectural direction and make sound decisions across a broad infrastructure surface
Care deeply about Anthropic's mission and about developing AI responsibly and safely
Deploying and operating production infrastructure multi-cloud, across the major cloud providers (AWS, Azure, GCP)
Developer productivity and developer experience at scale: the tooling, CI/CD, and workflows that entire engineering organizations depend on
Cloud-native architecture, containerization (e.g. Kubernetes), and large-scale capacity management
Operating infrastructure in regulated environments or under data-residency and sovereignty requirements
Building or operating infrastructure that serves AI and LLM products
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.
Annual Salary:
$485,000—$625,000 USD
**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.
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