At a Glance
- Tasks: Lead diverse teams to build and optimise cutting-edge AI solutions.
- Company: Join a pioneering tech company shaping the future of social technology.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Be part of a fast-paced, entrepreneurial culture with significant career advancement potential.
- Why this job: Directly impact frontier AI models and drive innovation in a dynamic environment.
- Qualifications: Proven leadership in tech, with a focus on collaboration and building strong teams.
The predicted salary is between 148500 - 181500 £ per year.
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 will 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.
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.
Director, Software Engineering - Agent Data & Optimization in London employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Director, Software Engineering - Agent Data & Optimization in London
✨Join Local Tech Meetups
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We think you need these skills to ace Director, Software Engineering - Agent Data & Optimization in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at United States Digital Space LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at United States Digital Space LLC and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at United States Digital Space LLC
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If United States Digital Space LLC uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.