Senior Engineering Manager, AI

About the role

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.

About the Team:

To support our growth, we are looking for a Senior Engineering Manager to lead the AI Platform team. This group builds and operates our core AI Gateway, serving as the critical high-throughput highway for all Large Language Model (LLM) traffic across the entire AlphaSense ecosystem.

About the Role:

This leader will bring deep experience running high-performance teams, a strong background in distributed system architecture, and hands-on familiarity with multi-vendor integrations. Superior communication and strategic collaboration skills are critical for managing expectations and aligning stakeholders across the entire R&D organization.

Who You Are:

- Proven Engineering Leadership: Strong track record of managing and growing high-performing teams of senior and staff engineers, with a passion for developing technical leaders and aligning engineering objectives with business strategy.

- Enterprise Scale Experience: Seasoned background in designing, building, and operating high-throughput, low-latency distributed systems (specifically handling complex routing, caching, queueing, or rate limiting).

- Technical Thought Leadership: Ability to deeply engage in high-level architectural discussions, provide constructive technical direction, and deliver high-impact feedback during architectural reviews.

- Strategic Communication: Exceptional communication and partnership skills to align diverse engineering, product, and executive partners across the R&D organization.

- Modern Tooling & AI-First Mindset: Active embrace of AI tools in developer workflows, with an expectation for the team to leverage AI in their toolchains to maximize engineering velocity.

- Relevant Tech Stack Experience (Nice to Have):

- Experience in the applied AI space or working with frameworks and tools such as LangChain, LangGraph, LiteLLM, or OpenRouter.

- Experience with orchestrators and proxies like Temporal, Envoy, or similar enterprise-grade gateway technologies.

- Experience with Python, Java, and highly distributed caching/queueing systems.