Technical Project Manager; AI

3E is a mission-driven company dedicated to creating a safer and more sustainable world. We offer award-winning regulatory intelligence and AI solutions to help organizations protect people and products. With over 35 years of experience and a global presence, we empower our customers with innovative compliance solutions.

You will get to work at a company that combines startup agility with the stability of an industry leader. Partner with enterprise customers and global experts to advance environmental safety and solve complex data science challenges.

Join us and make an impact!

The Technical Project Manager (AI) is an engineering-embedded leadership role that transforms how 3E ships software by combining technical execution, program ownership, and change leadership to increase speed, quality, and predictability across programs.

Reporting to the AI Delivery Team Lead, you will bridge product intent and engineering execution. In this role, you will build AI-enabled delivery systems that surface risk early, automate routine coordination, and embed governance directly into pipelines so teams can deliver faster with greater confidence.

If you are someone who has shipped production systems in a technical capacity, wants to build solutions instead of running status meetings, and wants to scale your impact by improving how multiple teams deliver, this role is built for you.

This position supports remote work and should be based near one of our U.S. East Coast office locations:
Bethesda, MD, or Canton, OH, or Charlottesville, VA.

Translate Product intent into clear, testable, and executable work, using readiness checks and automation to ensure requirements are ready before development begins.

Strengthen traceability across requirements, user stories, testing, releases, and deployments.

Own program-level delivery outcomes, including lead time, quality, predictability, blocker resolution, and release readiness.

Identify cross-program dependencies, blockers, and delivery risks early and drive them to resolution.

Build and use delivery metrics, including cycle time, lead time, work in progress, throughput, quality, and predictability, to guide decisions about scope, timelines, and trade-offs.

Use forecasting, data, and AI-generated insights to anticipate risks and support proactive delivery decisions.

Apply AI, automation, and delivery tooling to reduce manual coordination and improve the speed and quality of decision-making.

Partner with Product, Engineering, QA, Dev Ops, and other stakeholders to strengthen delivery alignment and embed governance into release-readiness processes.

Create reusable delivery practices, automations, and frameworks that can scale across teams and programs.

Lead teams through changes in tools, processes, expectations, and ways of working, including greater adoption of flow-based delivery where appropriate.

Communicate delivery progress, risks, and recommendations clearly to senior stakeholders, with a focus on decisions and outcomes.

Demonstrated experience leading complex software delivery initiatives across multiple teams, programs, and dependencies, with accountability for results rather than coordination alone.

Experience applying Scrum, Kanban, SAFe, or hybrid approaches and using flow metrics to identify risks and drive decisions about scope, timelines, and trade-offs.

Technical fluency across the software development lifecycle, including requirements, testing, releases, deployments, CI/CD concepts, and production support.

Hands‑on experience using AI tools, automation, or data‑driven workflows to improve delivery, engineering, or operational processes.

Ability to evaluate AI-generated output,…