Technical Product Lead (AI) in London

Technical Product Lead (AI) in London

London Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
alteam

At a Glance

  • Tasks: Lead product development for cutting-edge AI systems and make impactful decisions.
  • Company: Join Alteam, a dynamic LLM research startup with strong academic roots.
  • Benefits: £80,000 salary, generous equity options, 5 weeks holiday, and flexible hybrid work.
  • Other info: Fast-paced environment with clear career progression to Head of Product or CPO.
  • Why this job: Take charge of product direction and see your work impact real enterprise customers.
  • Qualifications: 8+ years in engineering and product roles, with hands-on LLM experience.

The predicted salary is between 63000 - 77000 £ per year.

You were an engineer first. Then you started deciding what got built.

We're hiring a Technical Product Lead, AI for a venture-backed LLM research startup. London, hybrid one or two days a week. £80,000 plus EMI equity options.

Most product roles ask you to influence. This one hands you the keys, and the founders want them held by someone who has shipped systems, not just specs.

THE COMPANY

We're Alteam, and we're helping a venture-backed LLM research startup hire its first Product Lead.

It's a spinout from one of the world's top universities, founded by a leading AI researcher and a serial entrepreneur, so the science runs deep and things still ship fast.

Their product replays your agent's real production traffic against candidate models and tells you exactly what changes before you switch, so enterprises can move onto cheaper models with evidence instead of hope.

The buyers are engineers.

The problem is technical.

So are the product decisions.

They're still finding product market fit and moving quickly.

You'll spend three months building context with the founders making the final calls, then roadmap, scope and priorities become yours.

There's a clear path to Head of Product or CPO.

What you decide is what gets built, and you'll watch it land with real enterprise customers within weeks.

THE ROLE

  • Own the roadmap and the outcomes, including the ones that don't work
  • Run your own discovery with technical buyers and turn it into testable ideas
  • Keep Product, Science and Engineering moving together, priorities clear and decisions made
  • Prototype fast, then ship with Engineering
  • Report straight to the CEO

YOUR PROFILE

You came up through engineering and moved into product because you wanted to decide what got built. You can hold your own with research scientists. In practice:

  • You can open the trace of a failing multistep agent and form a hypothesis before you ask Engineering
  • You design the eval set yourself, and you know where LLM as judge quietly falls apart
  • You've built multi-agent systems that real users depend on, with the guardrails that come with it: conclusions cited to source, scoped access, structured context between agents
  • You can argue model routing, caching and distillation as cost levers, with numbers behind you
  • You build with agentic coding tools daily, Claude Code or Cursor or your own setup, and ship working agents from a spec rather than writing a doc for someone else to build

REQUIREMENTS (do not apply if you dont meet them)

  • An engineering background. You shipped production code and owned real systems before moving into product
  • 8+ years in total, with genuine 0→1 product ownership since the switch, as a founding PM, early stage product lead, former founder or technical consultant who owned what got built
  • 2-3 years hands on with LLM agents in production: APIs, agentic systems, evaluation, traces and real failure modes
  • Happy to take messy problems to a decision on evidence, without needing everyone to agree
  • Enterprise, regulated or otherwise high-stakes deployment is a strong plus, as is evaluation or observability work
  • THIS PROBABLY ISN'T FOR YOU IF
  • Your AI work has mostly stayed in demos and pilots that never reached production
  • You picked up the vocabulary without ever shipping the systems
  • You've owned roadmaps but never a technical tradeoff
  • You want the authority without owning the outcome
  • SALARY AND PERKS
  • £80,000 base salary
  • Generous stock option package (EMI)
  • 5 weeks paid holiday
  • Flexible schedule, hybrid one or two days a week in London

Important: the role is hybrid in London. You will need the right to work in the UK. No VISA sponsorship.

Sound like you? Apply here or send it to . Include why you fit, your Github handle and any example of work in Agentic AI. It's a highly competitive position.

Technical Product Lead (AI) in London employer: alteam

At alteam, we pride ourselves on being an innovative and dynamic employer that fosters a collaborative work culture in the heart of London. As a growth engineer, you'll have the unique opportunity to shape our product and drive meaningful user engagement while enjoying equity options and a flexible hybrid working model. We are committed to your professional development, offering ample opportunities for growth in a fast-paced startup environment led by passionate founders.

alteam

Contact Details:

alteam Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Technical Product Lead (AI) in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at alteam or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to alteam.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like alteam.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like alteam that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Technical Product Lead (AI) in London

Engineering Background
Product Ownership
LLM Agents in Production
APIs
Multi-Agent Systems
Technical Decision-Making
Prototyping

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 alteam.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at alteam 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 alteam

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 alteam 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.