Engineering Manager, AI Platform

Responsibilities

• Lead the AI Platform organization, setting technical direction, operating model, and roadmap for enrichments and the agents platform.
• Build standard pipelines, shared services, and operational patterns for reliable, efficient data and model enrichments.
• Scale durable agent execution capabilities, including orchestration, state and workflow management, reliability, observability, evaluation, and quality controls.
• Define interfaces, reusable primitives, and engineering practices that enable product teams to build AI-enabled capabilities.
• Establish measurement, testing, evaluation, and feedback-loop practices that improve agent correctness, safety, and usefulness in production.
• Partner with Product, Design, Mission, Security, and Infrastructure teams to prioritize platform investments and deliver outcomes.
• Balance velocity, reliability, security, and operational risk for AI systems supporting real-world missions.
• Recruit, mentor, and develop engineers and engineering leaders.

Requirements

• 3+ years of experience as an engineering manager, including leading, coaching, and building software engineering teams.
• 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 teams that build workflow, data, ML, or service platforms with strong operational standards.
• Ability to balance speed, reliability, security, and mission impact while leading through ambiguity.
• Strong prioritization, execution, communication, cross-functional leadership, and project ownership skills.
• Data-driven decision-making skills.
• 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.

Nice to Have

• Experience with LangGraph, Temporal, Agno, or similar agent frameworks and workflow orchestration systems.
• Experience with ML platforms, data pipelines, model evaluation, retrieval, or enrichment systems.
• Experience building secure, observable, highly reliable systems in regulated or mission-critical environments.
• Active security clearance or willingness to obtain one.
• Experience building software for defense, national security, or intelligence use cases.

Compensation and Benefits

• Health, dental, and vision insurance
• Remote-friendly work with WeWork access
• Unlimited PTO, federal-holiday shared downtime, and company-wide year-end time off
• 401(k) match
• Lifestyle and wellbeing stipends
• Salary top-up during military reserve duty
• Fully paid parental leave
• Child and pet care reimbursement during travel