Engineering Manager, Connectivity

Key Responsibilities

• Lead a team of engineers building connectivity infrastructure for tool use across Anthropic’s product suite, including the MCP proxy, OAuth, and token management.
• Hire, coach, and develop technical talent using an inclusive and equitable approach.
• Provide career development guidance and performance management for direct reports.
• Partner with Connectivity engineering leadership in San Francisco and with product, security, and platform teams to define the roadmap and create clarity in an ambiguous environment.
• Drive cross-team and cross-org alignment to ship work spanning claude.ai, Claude Code, Cowork, and the API.
• Establish engineering best practices, including on-call, incident response, and postmortems, for dependable infrastructure.
• Contribute to engineering-wide initiatives as part of Anthropic’s engineering management team.

Minimum Qualifications

• Experience managing software engineering teams, including hiring, coaching, and performance management.
• Technical background in backend or platform engineering, with the ability to guide architectural decisions and engage in technical discussions.
• Experience operating production distributed systems, including reliability, observability, and incident response at scale.
• Excellent communication skills and the ability to build consensus across teams and time zones.
• Demonstrated success building a culture of belonging and product and engineering excellence.

Preferred Qualifications

• 3+ years of experience as an engineering manager.
• Familiarity with MCP or experience contributing to open standards or open-source ecosystems.
• Experience leading teams collaborating with distributed or cross-time-zone partner teams.
• Familiarity with authentication and authorization concepts such as OAuth, token management, or identity systems.
• Experience building or operating API gateways, proxies, or multi-tenant platforms.
• Experience building for enterprise customers, including admin controls, governance, and compliance requirements.
• Experience working on AI/ML products or agentic systems.

Compensation and Benefits

• Annual salary: £255,000–£325,000 GBP.
• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• London-based hybrid policy requiring staff to work from an office at least 25% of the time.
• Visa sponsorship may be available.
• Minimum education: bachelor’s degree or an equivalent combination of education, training, and experience.
• Relevant field of study demonstrated through coursework, training, or professional experience.