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- Tasks: Shape an innovative AI platform by improving product features and user experience.
- 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 real-world productivity.
- Qualifications: Technical background in engineering or data science; startup experience preferred.
- Other info: Interviews focus on your past projects, 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
Network with professionals in the AI and product management space. Attend relevant meetups or webinars to connect with others who might have insights into our company culture and the role itself.
✨Tip Number 3
Prepare to discuss specific examples of how you've improved products in the past. Focus on your ability to analyse data, gather user feedback, and implement changes quickly, as this aligns closely with what we value.
✨Tip Number 4
Showcase your technical skills by being ready to talk about your experience with logs, data analysis, and prompt tuning. This will highlight your fit for the role and your readiness to dive into the technical aspects of product management.
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, especially in AI or data science. Focus on projects where you've made a tangible impact and demonstrate your ability to work closely with engineers.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and product management. Discuss specific examples of how you've improved products through user feedback and data analysis, aligning your experiences with the job description.
Showcase Your Technical Skills: Clearly outline your technical background in your application. Mention any experience with logs, data analysis, or prompt tuning, as these are crucial for the role. Use concrete examples to illustrate your capabilities.
Highlight Startup Experience: If you have startup or early-stage experience, make sure to emphasise this in your application. Discuss how you've navigated ambiguity and contributed to product launches, showcasing your ability to thrive in fast-paced environments.
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.
✨Communicate Clearly and Thoughtfully
Since clear communication is key for this role, practice articulating your thoughts on product improvements and user feedback. Be ready to discuss how you can create tight, iterative loops between insight and execution.
