Director, Software Engineering - Agent Data & Optimization

META; Greater London; On-site; GBP 180,000 - 240,000; Full time

Benefits offered by this job

Benefits not listed

Job summary

Meta seeks a seasoned engineering leader to head the Agent Data & Optimization (ADO) team within Applied AI Engineering in the United Kingdom. You will guide a sizable, flat organization across multiple domains, partnering directly with model training teams to influence prioritization and execution while nurturing talent.

You will shape strategy, scale teams, and foster a culture of innovation and collaboration in a fast-paced, entrepreneurial environment at Meta.

Qualifications

• Significant technical industry experience.
• Extensive management experience.
• Experience recruiting, building, structuring, leading technical organizations, including performance management.

Responsibilities

• Build, manage, and support diverse teams of software engineers and engineering managers.
• Provide both technical and organizational leadership.
• Form cross-functional and cross-discipline partnerships to drive engineering efforts.
• Establish effective strategies and execute against them.
• Uphold a culture of respect, integrity, inclusion, innovation.

Skills

Engineering leadership

People management

Distributed teams

Education

Graduate degree

Job description

Meta is seeking a seasoned engineering leader to join our Agent Data & Optimization (ADO) team, which sits right at the heart of Meta's most important AI investments. As part of Meta's Applied AI Engineering organization, ADO teams generate training data and evaluations that directly improve Meta's frontier AI models. We leverage the expertise of our talent to engineer solutions, data, and RL environments that are at the core of AI progress at Meta, fueling the complex capabilities we build, how our models reason, and how they interact with the world. What is ADO? As part of the new Applied AI org, we generate training data and evaluations that directly improve Meta's frontier AI models — a top company priority. We leverage the expertise of our talent to engineer solutions, data, and RL environments that help train our models. This unique data is a key differentiating factor for Meta, complementing our compute investments and great model architecture. Our work is already shipping in model releases like Muse Spark and moving benchmarks. Why this is exciting: You get to work directly on frontier AI models — not adjacent to them. We're essentially the largest, best-funded AI startup ever: 4 months old, already delivering real impact, extremely flexible, and highly entrepreneurial. You can actually point to results — the work from our team went directly into the latest Spark release, and our coding benchmarks are closing the gap on leading competitors. You'd lead a sizable, flat engineering organization across multiple domains, partner directly with Meta's model training teams (MSL), and help shape the culture of something genuinely new. You'll influence technical decision making and organizational strategy, driving prioritization and execution while managing outstanding engineers and engineering managers in a fast-paced, entrepreneurial environment. Who we're looking for: Generalist engineering leaders who manage at scale, are AI-native in mindset, and thrive in ambiguity. Breadth over deep specialization. Builders who have a strong technical foundation, advocate for their people, and have a proven track record of structuring healthy organizations that foster collaboration across multiple disciplines. Highly energized by shaping something from the ground up.

Director, Software Engineering - Agent Data & Optimization Responsibilities

• Build, manage, and support diverse teams of software engineers and engineering managers
• Provide both technical and organizational leadership
• Form cross-functional and cross-discipline partnerships to drive engineering efforts
• Establish effective strategies and execute against them
• Uphold a culture of respect, integrity, inclusion, innovation

Minimum Qualifications

• Significant technical industry experience
• Extensive management experience
• Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management

Preferred Qualifications

• Graduate degree preferred
• Experience working with distributed teams

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.