Senior Engineering Manager

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets.

The Role:

We’re looking for a Senior Engineering Manager to lead the teams building shared product platforms at AlphaSense. The domain covers two connected areas: the API-first platforms that power multiple product surfaces, integrations, and agentic workflows, and the usage platform that meters and reports AI credit consumption across our product features.

Both areas are built as products, not as internal plumbing. That means well-designed APIs, clear contracts, strong reliability guarantees, and a roadmap driven by real product needs. Our consumption platform is business-critical: it underpins how AlphaSense packages, prices, and reports on AI capabilities, so accurate, timely, and auditable metering is a hard requirement rather than an implementation detail.

This is a people-management role. The immediate team is largely based in EMEA/US, so global people management is preferred. You’ll own hiring, growth, delivery, and the operational health of your teams, and you’ll partner closely with Product, Platform, SRE, and Finance/RevOps to set direction. You’ll stay technical enough to hold credible design discussions, review architecture, and push back where it matters, but your leverage comes through the engineers you grow and the systems they own. You’ll work alongside Principal Engineers in long-term technical direction rather than duplicating that work.

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
• A 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
• A 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