Director, Software Engineering - Agent Data & Optimization

United States Digital Space LLC; Greater London; On-site; GBP 150,000 - 190,000; Full time

Job summary

the company seeks a seasoned Director of Software Engineering for the Agent Data & Optimization team within its Applied AI Engineering organization. This role leads a sizable, flat engineering organization across multiple domains, partnering directly with model training teams to shape AI progress.

You will influence technical decisions, drive priorities, and manage engineering managers in a fast-paced, entrepreneurial environment.

Qualifications

• Significant experience leading large software organizations.
• Experience recruiting, building, and structuring technical teams.
• Proven track record of managing at scale in fast-paced environments.

Responsibilities

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

Skills

Engineering leadership

AI mindset

People management

Cross-functional leadership

Job description

the company is seeking a seasoned engineering leader to join our Agent Data & Optimization (ADO) team, which sits right at the heart of the company's most important AI investments. As part of the company's Applied AI Engineering organization, ADO teams generate training data and evaluations that directly improve the company'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 the company, 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 the company'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 the company, 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 the company'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:

• Experience working with distributed teams

About the company:

the company 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, the company 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 the company 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.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, the company offers benefits. Learn more about benefits at the company.