Senior Engineering Manager (A.I)

• 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
• 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

Benefits

• Work from home opportunities- 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
• 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
• Experience with Python, Java, and highly distributed caching/queueing systems
• Technical Thought Leadership: Ability to deeply engage in high-level architectural discussions, provide constructive technical direction, and deliver high-impact feedback during architectural reviews
• Experience in the applied AI space or working with frameworks and tools such as LangChain, LangGraph, LiteLLM, or OpenRouter
• 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)
• Strategic Communication: Exceptional communication and partnership skills to align diverse engineering, product, and executive partners across the R&D organization
• Experience with orchestrators and proxies like Temporal, Envoy, or similar enterprise-grade gateway technologies
• Relevant Tech Stack Experience (Nice to Have):
• 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