Senior Engineering Manager - Product Platforms

AlphaSense
India
Remote

Who this role is best for

A natural match if you have experience managing globally distributed platform engineering teams and building scalable, business-critical AI metering systems.

Best fit for

  • Candidates with prior experience managing backend teams and shaping product roadmaps for shared platforms
    — “lead the teams building shared product platforms”
  • Individuals who have delivered and operated APIs at scale with a focus on reliability and backward compatibility
    — “delivering and operating APIs at scale, with strong grounding in RESTful API design”
  • Candidates with a technical background in data-intensive systems and a proven track record of global team leadership
    — “Experience working in large-scale, distributed systems environments”

Things to consider

  • The role requires managing teams across EMEA/US and ensuring cross-team collaboration on technical direction
    — “The immediate team is largely based in EMEA/US, so global people management is preferred”
  • Candidates must be comfortable with ambiguous, cross-team problems and have influence across technical domains
    — “Comfort with ambiguity and the ability to influence technical direction across teams”

How to stand out

  • Highlight your experience with API governance and versioning strategies in your resume and interviews
    — “Uphold API governance, versioning strategy, and backward compatibility”
  • Emphasize your history of delivering reliable, scalable platforms used by multiple internal teams
    — “Experience with product platforms or shared services consumed by multiple product teams”
  • Showcase your ability to communicate complex technical trade-offs to non-technical stakeholders
    — “Communicate technical trade-offs and risk to engineering and business stakeholders across time zones”
  • Demonstrate your hands-on technical background in backend or distributed systems during interviews
    — “Strong hands-on engineering background in backend or distributed systems prior to management”
  • Include examples of leading cross-functional initiatives that required collaboration with finance and operations teams
    — “Partner with Finance, RevOps, and Pricing on consumption models, entitlements, quotas, overages, and reporting”
Pace · SteadyCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • led teams in backend and platform engineering
  • delivered high-quality platforms
  • partnered with cross-functional teams
Typical background
engineering management experiencebackground in software development

Skills & requirements

Required

People ManagementSoftware DevelopmentAPI DesignPlatform ArchitectureOperational Excellence

Preferred

Technical LeadershipProduct Management

Stack & domain

Backend EngineeringPlatform EngineeringAPI GovernanceVersioning StrategyBackward CompatibilitySlosObservabilityOn-call HealthIncident Follow-throughConsumption ModelsEntitlementsQuotasReportingTechnical Trade-offsRisk CommunicationPeople ManagementGlobal People ManagementHiringGrowthDeliveryOperational HealthPartnershipTechnical DirectionCredible Design DiscussionsArchitecture ReviewPush BackClarityCross-team Problem SolvingSuccessionTechnical OwnershipEngineeringPlatformAPIUsageConsumptionMeteringAI Credit Accounting

About the role

Original posting from AlphaSense via Greenhouse

About AlphaSense: 

AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.

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

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

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

AlphaSense never asks candidates to pay for job applications, equipment, or training.

All official communications will come from an @alpha-sense.com email address.

If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Source: AlphaSense careers (Greenhouse)

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