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Meta

Director, Software Engineering - Agent Data & Optimization

London
Posted about 13 hours ago
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About the Role

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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.

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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
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Skills

Software Engineering
Engineering Leadership
Artificial Intelligence
Machine Learning
Data Engineering
Reinforcement Learning
Technical Strategy
Performance Management
Team Building
Cross-functional Leadership
Organizational Strategy
Project Management
Mentorship
Stakeholder Management
Product Development

Location

London, England, United Kingdom

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