Senior Engineering Manager – Product Platforms

• Lead, grow, and develop a team of backend and platform engineers across the API and usage/consumption areas
• Own delivery, including 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 pipeline cost
• Partner with Product to shape a platform roadmap driven by 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
• Own operational excellence, including SLOs, observability, on-call health, and incident follow-through
• 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 executable work
• Grow senior individual contributors and tech leads, and make succession and technical ownership explicit
• Communicate technical trade-offs and risk to engineering and business stakeholders across time zones
• Stay technical enough to participate in design discussions, review architecture, and challenge decisions where appropriate
• Work alongside Principal Engineers on long-term technical direction

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

• AlphaSense equal-opportunity employer commitment
• Reasonable accommodation for qualified employees with protected disabilities, as required by applicable laws
• AlphaSense never asks candidates to pay for job applications, equipment, or training