Senior Engineering Manager

Responsibilities:

• Lead, grow, and develop a team of backend and platform engineers across the API and usage/consumption areas
• Own delivery: roadmap commitments, execution quality, and predictable outcomes for platforms with many internal and external consumers
• Own the direction of usage metering and AI credit accounting, including accuracy, auditability, latency, and cost of the metering pipeline itself
• Partner with Product to shape a platform roadmap driven by real product and customer needs
• Hire strong engineers, build a healthy pipeline, and raise the bar with every offer
• Uphold API governance, versioning strategy, and backward compatibility, and hold the line on contracts that other teams depend on
• Own operational excellence: SLOs, observability, on-call health, and follow-through on incidents
• Partner with Finance, RevOps, and Pricing on consumption models, entitlements, quotas, overages, and reporting
• Create clarity in ambiguous, cross-team problems and break them into work your teams can execute
• Grow senior ICs and tech leads, and make succession and technical ownership explicit
• Communicate technical trade-offs and risk to engineering and business stakeholders across time zones.

Requirements:

• Proven experience managing backend or platform engineering teams, including hiring, performance management, and career development
• Strong hands-on engineering background in backend or distributed systems prior to management, with the ability to engage credibly in design and code reviews today
• Experience with product platforms or shared services consumed by multiple product teams
• Track record of delivering and operating APIs at scale, with strong grounding in RESTful API design
• Experience with data-intensive systems: high-volume event ingestion, aggregation, and reporting
• Comfort with ambiguity and the ability to influence technical direction across teams
• Strong written and verbal communication with both technical and non-technical stakeholders

Nice to have:

• Experience with consumption or usage-based business models: metering, rating, entitlements, quotas, and billing integrations
• Experience with AI cost, token, or credit accounting systems
• Experience building or enabling agentic and AI-driven workflows, including orchestration, state management, and integration patterns
• Familiarity with MCP (Model Context Protocol) or similar agent integration patterns
• Some experience with GraphQL (design, usage, or operating in production)
• Experience working in large-scale, distributed systems environments
• Experience working closely with Platform and SRE teams
• Experience leading globally distributed teams