Job Information
Anthropic PBC Engineering Manager, Networking in San Francisco, California
Key Responsibilities
- Build and lead the team: Recruit, develop, and retain a team of exceptional network engineers; establish team charter, practices, and priorities as the team matures
- Drive technical strategy: Partner with technical leads to prioritize work across WAN buildout, data center networking, cloud connectivity, and host networkingensuring we're solving the right problems at the right time
- Ensure operational excellence: Mature the team's approach to reliability, observability, and incident response as the network becomes increasingly critical to research and production workloads
- Unblock research at scale: Enable ML teams to seamlessly use compute capacity across multiple cloud providers and our own data centers
- Communicate and coordinate: Serve as the bridge between the networking team and the broader organizationclearly articulating dependencies, risks, and progress to stakeholders
- Stay technically grounded: Maintain enough technical depth to understand your team's work, provide meaningful guidance, and credibly represent networking concerns in cross-functional discussions
About You
We're looking for a technical leader who thinks of themselves as a problem-solver and team-builder first.
Minimum Requirements:
- 8+ years of experience in an Engineering Manager role
- Experience building teams in environments with ambiguity and rapid change
- Strong technical foundation in networking: you can credibly discuss TCP/IP, BGP, routing architectures, and network debugging at a level that earns respect from senior ICs
- Experience across multiple networking domains (WAN, data center networking, host networking, cloud networking),with a strong emphasis on data center networking
- Ability to balance technical depth with pragmatic decision-making; you know when to dive deep and when to trust your team
- Strong communication skillsyou can translate complex technical challenges into business terms and vice versa
- Comfort with end-to-end ownership in environments where best practices don't yet exist
Preferred Requirements:
- Experience at companies during periods of hypergrowth where you've scaled networking alongside the business
- Background in environments where you've worn multiple hats and worked across organizational boundaries
- Familiarity with both cloud provider networking (AWS, GCP) and on-premises/colo environments
- Experience working directly with internal users, cloud providers, and vendors to solve end-to-end networking problems
- Exposure to AI/ML infrastructure and the unique demands of large-scale distributed training
What makes a great fit:
- Leverage over headcount: You're more excited about owning a high-impact problem end-to-end than managing a large team; you see extreme leverage in a small team enabling massive infrastructure investment
- Generalist leader: You've avoided becoming narrowly specialized and can context-switch between physical infrastructure, software systems, vendor management, and technical strategy
- Builder mentality: You're energized by maturing a v0 into something robust rather than optimizing an already-mature system; you like establishing practices, not just following them
- Pragmatic technologist: You balance technical excellence with business outcomes; you care as much about unblocking research as you do about elegant network architectures
- High adaptability: You thrive working with strong, opinionated technical contributors and can navigate unconventional team structures with patience and good judgment
- Business-aware: You think about problems in terms of enabling the businessunderstanding how your team's work connects to training runs, cost optimization, and research velocity
The annual compensation range for this role is listed below.
For sales roles, the range provided is the roles On Target E rnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000-$485,000USD
Logistics
Education requirements:We require at least a Bachelor's 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 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.