Job description

HADRIAN - MANUFACTURING THE FUTURE Hadrian is building autonomous factories to reindustrialize America. By combining AI, advanced software, robotics, and full-stack manufacturing, we help aerospace and defense companies build rockets, satellites, aircraft, ships, and other mission-critical systems up to 10x faster and at significantly lower cost. Following our $1.37B Series D at a $7.87B valuation, Hadrian is rapidly expanding our manufacturing footprint, launching new capabilities across welding, casting, forging, electronics, additive manufacturing, and more, while scaling our Factory-as-a-Service platform to transform how critical products are built. Backed by leading investors including JPMorgan Chase, Valor Equity Partners, Andreessen Horowitz, Founders Fund, 137 Ventures, Lux Capital, T. Rowe Price, and Morgan Stanley, we’re building the future of American manufacturing—and looking for exceptional people to help make it happen. If you’re ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you’re exactly who we’re looking for. The Role Technical Data Intelligence has the mission of making the world’s engineering data legible to automation. Ingesting high variance engineering design data in the form of engineering drawings and CAD models is crucial to assess part and assembly manufacturability, plan build processes, plan factories, and drive manufacturing process automation. This team includes both machine learning engineers and fullstack software engineers, and the product is tightly integrated with model development. You will build and manage a team of machine learning engineers and software engineers focused on solving this problem. The solutions will be a mix of agent development, classical ML development, and systems for tracking, editing, and mutating this data. Your focus is on hiring, growing, and supporting a world class team. Ability and desire to go hands on will be necessary to help the team and stay in tune with what is possible as ML and software engineering rapidly change. What You'll Do - Own the people leadership of your engineers: hiring, onboarding, mentorship, career growth, and performance. - Stay technically hands-on as a player-coach: participate in design reviews and contribute directly to the work when it helps the team move faster or clears a critical path. - Set technical direction and where we invest headcount, in partnership with the engineers and technical leads who drive architecture and modeling decisions. - Build and maintain the evaluation and annotation tooling the team depends on: gold datasets, accuracy metrics, and review loops where engineers correct model output and feed it back into the system. - Work across ML and software engineering so that model development and the product ship together. - Ensure engineers are engaged, growing, and set up to do their best work. What We're Looking For - 2-5+ years of engineering management experience leading machine learning engineering teams in production, with strong technical depth and experience in machine learning, computer vision (detection/segmentation), multimodal image+text models, LLM based systems, and/or data engineering before that. - Strong judgment on organizational design: how to structure a team, allocate headcount across projects, and balance depth vs. breadth as the stack grows. - Production deployment ownership: you've shipped ML systems to production and been responsible for their health, including accuracy, cost, and latency. - Experience building or leading teams that build LLM or VLM based agents, and designing evaluations for non-deterministic systems. - A track record of running a healthy team: clear expectations, direct feedback, and a strong sense of ownership among your engineers. - Excellent communication and cross-functional partnership skills: you can align engineers, technical leads, and leadership. What Will Set You Apart - Strong sense of connecting technical work and product development to business outcomes to understand what matters and what to say no to. - Heavy interest in manufacturing: you either have past exposure to it or are excited to learn as much about it as possible from experts here and help others do the same. This is core to our culture. - A track record of scaling a team through a period of fast headcount growth. - Experience mentoring engineers to grow into broader technical leadership roles. Compensation For this role, the target salary range is $299,000 - $359,000 (actual range may vary based on experience). This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. BENEFITS FOR FULL-TIME EMPLOYEES - Medical, dental, vision, and life insurance plans for employees 401k - Relocation support may be provided for certain situations, based on business need. - Flexible vacation policy - Equity ITAR REQUIREMENTS To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen or national, lawful permanent resident, protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here. USE OF AI IN HIRING Hadrian uses AI-assisted tools in our recruiting and hiring processes to help our team work more efficiently. This may include tools that help organize and analyze recruiting data, as well as an AI-powered notetaker that can record and transcribe interviews and help coordinate feedback. These tools support our team and are not used to make hiring decisions. All candidate evaluations and hiring decisions are performed by humans. If an interview will be recorded, you will be notified in advance and may opt out at any time with no impact on your candidacy. Candidate data processed through these tools is subject to the same protections described in our Privacy Policy hadrian.co. CONSIDERATION OF CRIMINAL HISTORY Hadrian will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of all applicable laws. We do not ask about criminal history on our application, and we do not consider criminal history before making a conditional offer of employment. HADRIAN IS AN EQUAL OPPORTUNITY EMPLOYER Hadrian does not unlawfully discriminate on the basis of race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, marital status, mental status, physical disability or any other legally protected status. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.

Requirements

Must-haves

If you’re ready to take on the most challenging and rewarding work of your career while helping create American manufacturing jobs for generations to come, you’re exactly who we’re looking for.
Own the people leadership of your engineers: hiring, onboarding, mentorship, career growth, and performance.
Stay technically hands-on as a player-coach: participate in design reviews and contribute directly to the work when it helps the team move faster or clears a critical path.
Set technical direction and where we invest headcount, in partnership with the engineers and technical leads who drive architecture and modeling decisions.
Build and maintain the evaluation and annotation tooling the team depends on: gold datasets, accuracy metrics, and review loops where engineers correct model output and feed it back into the system.
Work across ML and software engineering so that model development and the product ship together.
Ensure engineers are engaged, growing, and set up to do their best work.
Strong judgment on organizational design: how to structure a team, allocate headcount across projects, and balance depth vs. breadth as the stack grows.
Production deployment ownership: you've shipped ML systems to production and been responsible for their health, including accuracy, cost, and latency.
Experience building or leading teams that build LLM or VLM based agents, and designing evaluations for non-deterministic systems.
A track record of running a healthy team: clear expectations, direct feedback, and a strong sense of ownership among your engineers.
Excellent communication and cross-functional partnership skills: you can align engineers, technical leads, and leadership.
What Will Set You Apart
Strong sense of connecting technical work and product development to business outcomes to understand what matters and what to say no to.
Heavy interest in manufacturing: you either have past exposure to it or are excited to learn as much about it as possible from experts here and help others do the same. This is core to our culture.
A track record of scaling a team through a period of fast headcount growth.
Experience mentoring engineers to grow into broader technical leadership roles.
Relocation support may be provided for certain situations, based on business need.
Flexible vacation policy

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlgollm

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k