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Senior Engineering Manager, AI
AlphaSenseSenior Engineering Manager leading AlphaSense’s AI Gateway, which powers AI-driven market intelligence for enterprise customers. Managing engineers and scaling multi-vendor LLM infrastructure for speed, reliability, and cost.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading high-performing engineering teams while driving the architecture and strategy of high-throughput, low-latency distributed systems. Proficient in fostering collaboration across engineering, product, and executive stakeholders to ensure alignment with business objectives.
Highest-signal resume keywords
Team ManagementHigh-Throughput Distributed SystemsArchitectural StrategyAI Tools IntegrationSoftware Engineering Best Practices
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Distributed Systems DesignRoutingCachingQueueingPythonJavaAI Gateway ArchitectureToken-Based Cost TrackingLatency OptimizationMulti-Vendor Orchestration
Soft Skills
CommunicationMentoringCollaborationLeadershipPartnership
Tools & Technologies
LangChainLangGraphLiteLLMOpenRouterTemporalEnvoy
Industry Keywords
AI PlatformLLM VendorsTechnical ExcellencePredictable DeliveryCareer Growth
Tech Stack
Tools & technologiesDistributed SystemsJavaPython
About the role
Key responsibilities & impact- Lead the AI Platform team building and operating AlphaSense’s core AI Gateway
- Manage, mentor, and grow a 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
- Own the strategy and architecture of the enterprise AI Gateway, processing up to 1 trillion LLM tokens per week
- Ensure high availability, sub-millisecond routing, caching, queueing, and robust fallback mechanisms
- Guide integration, evaluation, and management of 6+ major LLM vendors and 50+ distinct models
- Optimize multi-vendor orchestration for latency, cost, and reliability
- Partner with product management, AI research teams, and executive engineering leads on the gateway roadmap
- Define and champion software engineering best practices and architectural standards
- Establish token-based cost-tracking telemetry across the AI Platform organization
Requirements
What you’ll need- Strong track record managing and growing high-performing teams of senior and staff engineers
- Experience developing technical leaders and aligning engineering objectives with business strategy
- Experience designing, building, and operating high-throughput, low-latency distributed systems
- Experience with complex routing, caching, queueing, or rate limiting
- Ability to engage in high-level architectural discussions and provide technical direction
- Exceptional communication and partnership skills across engineering, product, and executive stakeholders
- Active use of AI tools in developer workflows and an AI-first mindset
- Experience in applied AI or with LangChain, LangGraph, LiteLLM, or OpenRouter is nice to have
- Experience with Temporal, Envoy, or similar enterprise-grade gateway technologies is nice to have
- Experience with Python, Java, and highly distributed caching/queueing systems is nice to have
Benefits
Comp & perks- Equity may be offered
- Generous benefits program
- AlphaSense never asks candidates to pay for job applications, equipment, or training