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AlphaSense

Builds AI search tools for market research

Senior Engineering Manager - AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A strong track record of managing and growing high-performing teams of senior and staff engineers, developing technical leaders, and aligning engineering objectives with business strategy.
  • Seasoned experience designing, building, and operating high-throughput, low-latency distributed systems, including complex routing, caching, queueing, or rate limiting.
  • Ability to engage in high-level architectural discussions, provide technical direction, and deliver feedback during architectural reviews.
  • Experience using AI tools in developer workflows and enabling teams to use AI in their toolchains.
  • Experience in applied AI or with LangChain, LangGraph, LiteLLM, or OpenRouter is preferred.
  • Experience with orchestrators and proxies such as Temporal, Envoy, or similar enterprise-grade gateway technologies is preferred.
  • Experience with Python, Java, and highly distributed caching or queueing systems is preferred.

Responsibilities

  • Manage, mentor, and grow a team of up to 10 senior and staff software engineers, most of whom are distributed across North America.
  • Foster a high-performance culture of technical excellence, predictable delivery, and career growth.
  • Own the strategy and architecture of the enterprise AI Gateway, ensuring high availability, sub-millisecond routing, caching, queueing, and robust fallback mechanisms as usage scales.
  • Guide integration, evaluation, and management of multiple LLM vendors and models, optimizing latency, cost, and reliability across providers.
  • Partner with product management, AI research teams, and executive engineering leads to align the gateway roadmap with product features and organizational goals.
  • Define and champion software engineering best practices, architectural standards, and token-based cost-tracking telemetry across the AI Platform organization.

Desired Qualifications

  • Experience in applied AI or working with frameworks and tools such as LangChain, LangGraph, LiteLLM, or OpenRouter.
  • Experience with orchestrators and proxies such as Temporal, Envoy, or similar enterprise-grade gateway technologies.
  • Experience with Python, Java, and highly distributed caching or queueing systems.

About the Company

AlphaSense

Builds AI search tools for market research

AlphaSense builds market intelligence software for investment professionals and corporate teams researching companies, competitors, and business trends. Its platform brings company filings, earnings calls, industry news, and expert interviews into a searchable library, so analysts work across sources rather than opening each document separately. AI tools interpret research questions, summarize findings, and link answers to the underlying material for review. Organizations also connect their internal research to the platform and pay subscription fees for access to its software and content. AlphaSense launched in 2011 and is headquartered in New York City.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$1.8B
Headquarters
New York City, New York
Founded
2011

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