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For Companies At a Glance
- Tasks: Shape an innovative AI platform, enhancing user experience through data and feedback.
- Company: Join a dynamic startup with a flat structure and a team of industry experts.
- Benefits: Enjoy remote work, fully covered travel to Budapest, and equity options.
- Why this job: Be part of a fast-paced environment where your contributions directly impact product success.
- Qualifications: Technical background in engineering or data science; startup experience preferred.
- Other info: Interviews focus on your achievements, not traditional coding tests.
The predicted salary is between 64000 - 96000 ÂŁ per year.
Technical Product Manager – AI
London or Budapest (remote)
Fully comped travel to Budapest every 6 weeks (soon to be every 12 weeks)
Something new is launching mid-August.
It’s not an app. Not a dashboard. It’s a platform for AI agents that actually helps people get things done – quickly, intelligently, and without all the friction of traditional productivity tools.
We’re looking for a Technical Product Manager to help shape this from the inside. You won’t be writing PRDs all day or presenting slide decks. You’ll be shipping real stuff, building fast feedback loops, and working closely with some seriously sharp engineers who’ve built platforms used by millions.
This is less about “leading a squad” and more about making the product better, every single day — through data, user feedback, prompt tweaking, digging through logs, spotting weird behaviour, and helping agents feel smart and reliable.
What You’ll Actually Do
- Make the product better – fast, scrappy, and grounded in user reality
- Work alongside engineers who think like PMs and don’t need handholding
- Run human evals, track usage patterns, and build tooling to understand what’s working
- Help shape the platform powering our AI agents: workflows, behaviour, speed, quality
- Create tight, iterative loops between insight and execution – think hours, not weeks
What We’re Looking For
- A technical background (engineering, data science, AI systems)
- Comfortable navigating logs, data, prompt tuning, model evaluation etc
- Startup/early-stage experience
- Clear, thoughtful communicator who doesn’t need everything scoped for them
- Ability to own big ambiguous problems and break them into real, testable steps
- No ego, no politics – just speed, quality, and relentless curiosity
Bonus points for:
- Agent experience – building, testing, evaluating
- You’ve lived through a product going from nothing to launch
- You’re allergic to fluff and know when something’s “good enough to test”
Why You’ll Actually Like It Here
- A flat structure: smart people solve important problems. No hand-offs.
- Team includes a founder, CTO, ex-Facebook engs, and one new backend hire
- Releasing beta in August — this isn’t theory, it’s happening
- Travel and accom covered for Budapest co-working weeks
- Interviews are chill: more about what you’ve built than leetcode nonsense
This is a quick process so apply for next steps ASAP.
Technical Product Manager AI employer: Cubiq Recruitment
Contact Detail:
Cubiq Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Product Manager AI
✨Tip Number 1
Familiarise yourself with the latest trends in AI and productivity tools. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Showcase your technical skills by discussing specific projects where you've worked with data, logs, or AI systems. Be prepared to explain how you approached problem-solving and what impact your contributions had on the product.
✨Tip Number 3
Prepare to discuss your experience in fast-paced environments, particularly in startups. Highlight instances where you've had to make quick decisions or iterate rapidly based on user feedback, as this aligns with our approach at StudySmarter.
✨Tip Number 4
Be ready to demonstrate your communication skills. Since the role requires collaboration with engineers and other team members, practice articulating complex ideas clearly and concisely, focusing on how you can contribute to the team's success.
We think you need these skills to ace Technical Product Manager AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in technical product management, particularly in AI or data science. Emphasise any startup experience and your ability to work in fast-paced environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the role. Mention specific projects where you've improved products through user feedback and data analysis.
Showcase Your Technical Skills: Include examples of your technical skills, such as navigating logs, prompt tuning, or model evaluation. This will demonstrate your capability to handle the responsibilities outlined in the job description.
Highlight Problem-Solving Abilities: Discuss instances where you've tackled ambiguous problems and broken them down into actionable steps. This will show that you can thrive in the dynamic environment they are offering.
How to prepare for a job interview at Cubiq Recruitment
✨Showcase Your Technical Background
Make sure to highlight your technical expertise, especially in engineering, data science, or AI systems. Be prepared to discuss specific projects where you've navigated logs, performed prompt tuning, or evaluated models.
✨Demonstrate Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous problems in the past. Discuss how you broke down complex issues into manageable, testable steps, showcasing your ability to think critically and act decisively.
✨Emphasise Your Startup Experience
If you've worked in a startup or early-stage environment, share those experiences. Talk about how you contributed to product development from inception to launch, and how you adapted to fast-paced changes.
✨Be Ready for a Chill Conversation
Interviews here are more about what you've built than traditional coding tests. Prepare to discuss your past projects and the impact they had, focusing on real-world applications rather than theoretical scenarios.
