Skip to main content
Vannevar

Engineering Manager, AI Platform

RemoteUnited States only
Published
Role
Engineering Management
Experience
Senior
Employment
Full-time
Company size
Startup
Salary not disclosed
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Senior engineering manager to lead the AI Platform org (ML platform + agents runtime) at a defense AI company. Needs 3+ yrs EM experience, 5+ yrs hands-on ML, 2+ yrs building agentic AI in production, and platform-building depth. Must be a U.S. citizen (access to U.S.-only data systems); remote-friendly.

Core skills

Machine LearningAgentic AI

Required skills

PythonPostgreSQLAWS

Optional skills

LangGraphTemporalAgno

What you'll do

  • 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.

What they require

  • 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.

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

Vannevar is a defense technology company building AI to deter adversaries. Its AI systems model adversary behavior, simulate campaigns, and recommend courses of action for national security decision makers.

Defense TechStartup

Details

Visa sponsorshipNo
Also posted in 2 other channels
Salary not disclosed