Senior Engineering Manager, AI

Job not on LinkedIn

🔥 0 minutes ago

🗽 New York – Remote

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💵 $361.2k - $496.8k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

🦅 H1B Visa Sponsor

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Logo of AlphaSense

AlphaSense

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

💸 Finance

🏢 Enterprise

💰 Debt Financing on 2022-06

Artificial Intelligence • Finance • Enterprise

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• Strategic Team Leadership: Manage, mentor, and grow a highly talented team of up to 10 senior and staff software engineers (mostly distributed across North America). • Foster a high-performance culture of technical excellence, predictable delivery, and career growth. • High-Scale Operations & Scaling: Own the strategy and architecture of our enterprise AI Gateway - currently processing up to 1 Trillion LLM tokens per week with a projected 10x growth surge driven by agentic workflows (such as SuperAnalyst) - while ensuring high availability, sub-millisecond routing, caching, queueing, and robust fallback mechanisms. • Multi-Vendor Orchestration: Strategically guide the integration, evaluation, and management of 6+ major LLM vendors and 50+ distinct models, optimizing for latency, cost, and reliability across different providers. • Cross-Functional Alignment: Partner closely with product management, AI research teams, and executive engineering leads to align the gateway's roadmap with core product features and organizational goals. • Technical Governance: Define and champion software engineering best practices, architectural standards, and token-based cost-tracking telemetry across the AI Platform organization.

🎯 Requirements

• 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.

🏖️ Benefits

• You may also be offered equity • Generous benefits program

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