Note: The job is a remote job and is open to candidates in USA. Vannevar is a defense technology company building AI to deter our adversaries. They are seeking a Senior Engineering Manager to lead the AI Platform organization, responsible for developing a robust platform that enables product teams to efficiently build and operate AI-powered capabilities.
Responsibilities
- 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
Skills
- 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
- Experience with agent frameworks and workflow orchestration systems such as LangGraph, Temporal, Agno, or similar tools
- Experience with ML platforms, data pipelines, model evaluation, or retrieval and enrichment systems
- Experience building secure, observable, and highly reliable systems in regulated or mission-critical environments
- Active security clearance or ability/willingness to obtain one
- Prior experience building software for defense, national security, or intelligence use cases
Benefits
- Health, dental, and vision insurance
- Remote friendly with WeWork access
- Unlimited PTO, shared downtime during the federal holiday calendar, and company-wide off time at the end of each year
- 401(k) match
- Lifestyle & wellbeing stipends
- Salary top-up during military reserve duty
- Fully paid parental leave
- Child and pet care reimbursement during travel
Company Overview