Engineering Manager, AI Platform

🕒 August 10

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Vannevar Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

💼 Consulting

📦 Logistics

🎖️ Defense

💰 $12M Series A on 2021-08

Consulting • Logistics • Defense

Vannevar Labs is a defense technology company focused on digital intelligence to support non-kinetic missions aimed at deterring and de-escalating conflicts. The company specializes in developing advanced machine learning techniques to ensure access to mission-relevant data, building tools to counter malign influence, and enhancing maritime domain awareness using open-source and targeted data collection techniques. Vannevar Labs is dedicated to quickly iterating with national security partners to meet urgent and dynamic security challenges, positioning its solutions to address the strategic competition for legitimacy and influence in the modern geopolitical landscape.

📋 Description

• Set the technical direction, operating model, and roadmap for the AI Platform organization • Own standard pipelines, shared services, and operational patterns for data and model enrichments • Lead development of durable agent execution capabilities, including orchestration, state and workflow management, reliability, observability, evaluation, and quality controls • Establish platform interfaces, reusable primitives, and engineering practices for product teams • Develop measurement, testing, evaluation, and feedback-loop practices for agent behavior • Partner with Product, Design, Mission, Security, and Infrastructure teams on platform investments and outcomes • Balance velocity, standardization, iteration, reliability, security, and operational risk • Recruit, mentor, and develop engineers and engineering leaders

🎯 Requirements

• 3+ years of experience as an engineering manager • 5+ years of hands-on machine learning experience • 2+ years building agentic AI systems in production • Experience building or operating platforms used by multiple internal product or engineering teams • Deep familiarity with production AI/ML or agentic systems, including orchestration, evaluation, observability, quality, reliability, and cost • Experience leading workflow, data, ML, or service platform teams • Ability to balance speed, reliability, security, and mission impact • Ability to manage multiple priorities across teams, stakeholders, and product surfaces • Track record of data-driven decision making • Excellent communication, cross-functional leadership, and project ownership • Proficiency with Python, PostgreSQL or other relational databases, AWS or other cloud services, and 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