Engineering Manager, Vannevar

• This role is ideal for a technical, platform-minded engineering leader who has built depth in machine learning, applied that foundation to LLM product development, and can set platform strategy, develop strong engineers, and make sound architectural tradeoffs across data, ML, agent systems, and cloud infrastructure
• 3+ years of experience as an engineering manager, with demonstrated ability to lead, coach, and build software engineering teams
• 5+ years of hands-on machine learning experience and 2+ years building agentic AI systems in production
• Experience building or operating platforms used by multiple internal product or engineering teams
• Deep familiarity with AI/ML or agentic systems in production, including the practical challenges of orchestration, evaluation, observability, quality, reliability, and cost
• Experience leading teams that build workflow, data, ML, or service platforms with high standards for operational excellence
• Ability to lead through ambiguity, balancing speed, reliability, security, and mission impact
• Ability to juggle multiple priorities across different teams, stakeholders, and product surfaces without losing focus on execution quality
• Track record of data-driven decision making—argue with metrics, not gut feelings
• Excellent communication skills, cross-functional leadership, and project ownership
• Proficiency with Python, PostgreSQL or other relational databases, AWS or other cloud services, and modern distributed-system and workflow-engineering patterns
• Willingness to travel to offsites, team syncs, and customer sites
• U.S. Citizenship, required to access U.S.-only data systems
• We encourage candidates from all backgrounds to apply, even if you don't feel like you're a perfect fit. If you're passionate about contributing to our mission, we'd love to hear from you!
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State

Desirable

• Vannevar is building the future of national security enablement with agentic AI. Our platform tightens the loop from observation to action by giving warfighters cutting-edge analysis tools to make better decisions, faster
• We’re looking for a talented Senior Engineering Manager to lead our AI Platform organization. This team provides the durable, reusable foundation that product and mission teams use to build, operate, and improve AI-powered capabilities at Vannevar
• The AI Platform brings together two areas:
• Machine Learning platform: The standard pipelines and shared services that power reliable, scalable data and model enrichments
• Agents platform: The runtime foundation for building and operating agents, with a focus on durable execution, observability, evaluation, quality, and safe, dependable operation at scale
• You’ll lead the team responsible for turning these capabilities into an integrated platform: one that makes it easy for product teams to ship AI-enabled workflows while maintaining the reliability, quality, security, and operational rigor required for national security missions
• Lead the AI Platform organization: Set the technical direction, operating model, and roadmap for the teams responsible for enrichments and the agents platform
• Build the enrichments foundation: Own the standard pipelines, shared services, and operational patterns used to run data and model enrichments reliably and efficiently across Vannevar products
• Scale the agents runtime: Lead the development of durable agent execution capabilities, including orchestration, state and workflow management, reliability, observability, evaluation, and quality controls
• Define platform standards: Establish clear interfaces, reusable primitives, and engineering practices that enable product teams to build AI-enabled capabilities without reinventing foundational infrastructure
• Raise the quality bar: Develop measurement, testing, evaluation, and feedback-loop practices that improve the correctness, safety, and usefulness of agent behavior in production
• Drive cross-functional execution: Partner with Product, Design, Mission, Security, and Infrastructure teams to prioritize platform investments and deliver high-impact outcomes
• Balance velocity and reliability: Make pragmatic decisions about where to standardize, where to iterate, and how to manage the operational risks of AI systems supporting real-world missions
• Grow a high-performing team: Recruit, mentor, and develop engineers and engineering leaders; foster a culture of ownership, technical excellence, customer empathy, and mission impact