AlphaSense Logo

AlphaSense

Senior Engineering Manager - Product Platforms

Posted 17 Days Ago
Remote or Hybrid
Hiring Remotely in India
Senior level
Remote or Hybrid
Hiring Remotely in India
Senior level
Leads backend and platform engineering teams responsible for API-first product platforms and AI usage metering. Owns hiring, development, delivery, platform reliability, API governance, usage accounting, and operational excellence. Partners with Product, Platform, SRE, Finance, Revenue Operations, and Pricing on roadmaps, entitlements, quotas, billing integrations, and reporting. Guides architecture and technical direction while developing senior engineers and maintaining predictable outcomes across globally distributed teams.
The summary above was generated by AI
About AlphaSense: 

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. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. 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.

Similar Jobs

15 Minutes Ago
Easy Apply
In-Office or Remote
Easy Apply
Senior level
Senior level
Cloud • Information Technology • Security • Software
Lead India-based data engineering and machine learning teams, overseeing architecture, production MLOps, data pipelines, governance, modeling standards, and SaaS reliability. Partner with Finance, Sales, Product, Platform, Security, and executive stakeholders to deliver trusted analytics and production ML outcomes. Hire, mentor, and manage geographically distributed engineers, establish monitoring and rollback practices, and guide model development, evaluation, serving, and continuous improvement.
Top Skills: C++ClaudeCopilotCursorDatabricksDbtFivetranGeminiGoJavaNetSuiteNotebooklmPythonPyTorchSalesforceScikit-LearnSnowflakeSparkSQLTensorFlow
An Hour Ago
Remote
Gujarat, IND
Senior level
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Leads SSD assembly equipment engineering to improve tool performance, availability, yield, quality, reliability, and cost. Establishes SPC and FD controls, preventive and predictive maintenance programs, spare inventory systems, productivity initiatives, equipment capability roadmaps, supplier collaboration, and benchmarking. Builds continuous improvement teams and develops personnel toward a Center of Excellence model. Requires an engineering degree, at least eight years of PCB assembly engineering experience, leadership, analytical problem-solving, and AI application capabilities.
Top Skills: Artificial IntelligenceCpk Process Capability AnalysisFailure Detection (Fd) MethodologyPcb Assembly EquipmentPredictive MaintenancePreventive MaintenanceSsd Assembly EquipmentStatistical Process Control (Spc)
An Hour Ago
Remote
Gujarat, IND
Senior level
Senior level
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Administers and supports enterprise physical security technologies, including Lenel OnGuard access control and Milestone XProtect video management systems. Troubleshoots integrated hardware, software, database, network, CCTV, and visitor management issues; supports investigations through system data analysis. Collaborates with IT, Facilities, Engineering, Security Operations, vendors, and integrators on upgrades and modernization projects while developing documentation, standardizing systems, and improving lifecycle management and operational processes.
Top Skills: Access Control SystemsActive DirectoryCctvGenerative AiLenel OnguardMilestone XprotectSQL ServerTcp/Ip NetworkingVideo AnalyticsVideo SurveillanceWindows Server

What you need to know about the Chennai Tech Scene

To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account