Engineering Manager – Applied AI

• ◆Lead and grow the Applied AI team: Hire, develop, and retain engineers while setting a high technical bar.
• ◆Own technical direction and prioritization: Identify the highest-leverage engineering problems and decide where the team should invest its time.
• ◆Stay hands-on: Review architecture, solve difficult technical problems, and contribute to implementation when appropriate.
• ◆Partner with engineering teams across General Matter: Work directly with licensing, safety, design, manufacturing, and other technical teams to understand their workflows and identify opportunities for AI-driven leverage.
• ◆Build scalable engineering practices: Establish the processes for project selection, prototyping, evaluation, and production handoff that allow the team to grow without losing speed.
• ◆Represent Applied AI across the company: Communicate technical direction, progress, and tradeoffs to company leadership and cross-functional partners.

Basic

• ✓7+ years of professional software engineering or applied AI experience.
• ✓2+ years of experience managing, mentoring, or growing software or applied AI engineers.
• ✓Demonstrated experience building and shipping software using LLMs, AI agents, or other modern AI techniques.
• ✓Strong software engineering fundamentals and proficiency in Python.
• ✓BS or higher in engineering, physics, chemistry, applied math, computer science, or a related technical field.

• ✓Technical leader who still codes: You enjoy reviewing PRs, debating architecture, and jumping into difficult technical problems. This is not a role you can do from a distance.
• ✓AI fluency: You have hands-on experience with technologies such as LLMs, RAG, tool-use architectures, and AI agents, and think critically about where AI can create meaningful leverage.
• ✓Strong engineering judgment: You can quickly understand technical problems across disciplines and evaluate whether your team’s approach is sound without needing to be the domain expert.
• ✓Workflow-oriented mindset: You’re excited by finding ways to fundamentally improve how engineering teams work, rather than simply adding AI to existing processes.
• ✓Builds high-agency teams: You hire and develop engineers who take ownership, move quickly, and solve problems without waiting for a detailed roadmap or specification.
• ✓Experience scaling small teams: You’ve helped a high-context engineering team add structure and process while preserving speed, autonomy, and technical quality

Additional

• ✓Ability to work extended hours and weekends as necessary.
• ✓Ability to come into our office every day. This role is 100% on site and in person.
• ✓Currently a US Citizen with capability to obtain and maintain a US Q clearance.

and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.