Engineering Manager (Platform Foundations)

jobr.pro

San Francisco (CA)

On-site

USD 485,000 - 625,000

Full time

14 days+

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Job summary

Anthropic is looking for a seasoned leader to oversee and grow software engineering teams within the Platform organization. This role focuses on building and scaling the foundational infrastructure that supports Anthropic's AI systems.

The successful candidate will have over 10 years of engineering experience, with extensive leadership in managing multiple teams. The position requires strong capabilities in cloud deployment across AWS, Azure, and GCP while ensuring reliability and scaling efficiency.

Compensation ranges from $485,000 to $625,000 USD annually, reflecting the strategic importance and expertise needed for this role.

Qualifications

  • 10+ years of engineering experience, with 8+ years in leadership roles.
  • Experience in managing multi-team engineering organizations.
  • Strong track record in building high-scale product infrastructure.

Responsibilities

  • Lead multi-team engineering organization with focus on hiring and culture.
  • Set technical strategy and roadmap for product infrastructure.
  • Scale infrastructure to meet customer demand with reliability.

Skills

Engineering leadership
Product infrastructure management
Stakeholder management
Technical architecture
Cloud deployment

Education

Bachelor's degree or equivalent experience

Tools

Kubernetes
AWS
Azure
GCP

Job description

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.

About the role

We are looking for a lead 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.

Responsibilities
  • 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
You may be a good fit if you
  • 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
Strong candidates may also have experience with
  • 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

The annual compensation range for this role is listed below.

$485,000 — $625,000 USD

Logistics

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.

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