Lead Product Engineer

Lead Product Engineer

City of London Full-Time 140000 - 170000 ÂŁ / year (est.) No home office possible
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Fyxer AI

At a Glance

  • Tasks: Own and develop an AI product, using data to drive strategy and execution.
  • Company: Join a dynamic early-stage tech company focused on innovative AI solutions.
  • Benefits: Competitive salary, share options, and flexible remote work on Fridays.
  • Why this job: Make a real impact in AI while enjoying autonomy and ownership over your product.
  • Qualifications: Experience in product engineering, strong skills in Typescript, and a passion for AI.
  • Other info: Collaborative team environment with opportunities for personal and professional growth.

The predicted salary is between 140000 - 170000 ÂŁ per year.

Hiring Overview

3 days ago Be among the first 25 applicants

We hire founders \”This is the most exciting time in history to build.\” Sam Altman

Should I start a company? Should I keep going with my startup? What problem should I solve? \”Starting by thinking up a problem is risky because you may invent a problem that doesn’t truly exist. If you can’t answer (‘who wants this right now?’), then the idea is probably bad.\” Paul Graham

We believe the best thing you can do right now is join a breakout AI team, face real problems, work with potential co‑founders, and make a lot of money.

What We’re Building

We’re solving the biggest problem in modern work: email . And we’re doing it at the best possible time in history to solve it. We think the best user experiences come from focus. For us, that means AI‑generated email drafts . We’re laser‑focused on making them better over time, using context from your meetings, inbox, and messages, because that’s what matters most to our users.

Unlike other startups, we’re a pure‑play applied AI company , not a SaaS tool with AI bolted on. We use the best techniques, including fine‑tuned open‑source models, tool use, and retrieval‑augmented generation. As a result, users send 53% of the drafts we generate.

Your Background

  • 5+ years of experience building and shipping production software, with deep expertise in Python or TypeScript and a track record of owning systems end‑to‑end.
  • Hands‑on experience with modern AI/ML tooling (LLMs, fine‑tuning, RAG, embeddings, distributed training, inference optimisation, etc.) and proven ability to work directly with models in production.
  • Strong product intuition and user‑centric mindset, able to translate ambiguous problems into simple, high‑impact product decisions without product managers.
  • Startup‑ready mindset: comfortable operating with extreme ownership, rapid iteration, and high autonomy within a small, elite technical team.

How’s it going?

This year, we’ve grown from $1M to $25M ARR , with a technical team of just 12 (up from 2). We’re forecasting $100M ARR by the end of 2025. We have product‑market fit, and we take none of it for granted. We’re relentlessly focused. There will be a $10B+ company in this space. It will be us if we stay focused. Ranked 7th in Andreessen Horowitz’s list of top AI apps , based on real startup spend data. The other nine in the top 10 are valued at $10B+.

Autonomy, Agency, Ownership

Team members own both product strategy (we have no product managers and no plans to add them) and the execution of that strategy. They decide when to bring in qualitative insights (interviews, surveys, etc.) or quantitative data, supported by our data engineering team.

Our Technical Staff Focus On

  • Building an incredible product
  • Helping users find value and share
  • Training cutting‑edge models
  • Developing scalable infrastructure

We’re Deliberate About Hiring

A small team of exceptional people, working hard on a problem they care about, will always beat a larger, less focused team. That intensity means this isn’t a normal role, but it also means you’ll move faster than anywhere else.

Examples

  • Serafin joined 6 months ago and built our entire product notetaker, competing with whole companies, including research, model training, and product development.
  • Joey joined 7 months ago and built our human data platform for model training and evals.
  • Josh joined 14 months ago and now leads infrastructure, having built core products like scheduling along the way.

What We Promise

Most fast‑growing startups fall into traps: overhiring, losing focus, acting like big companies. We believe small, exceptional, high‑performing teams are the future.

  • No bureaucracy
  • No processes that slow decisions
  • No constant distractions, we have company‑wide focus time with no meetings until 3pm

A humble but extremely ambitious environment. A group of people giving unreasonable effort to the right things.

What We Pay

We offer the highest cash and equity in London, up to ÂŁ500k package!

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries: Software Development

Referrals increase your chances of interviewing at Fyxer AI by 2x

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Lead Product Engineer employer: Fyxer AI

Fyxer AI is an exceptional employer that fosters a culture of autonomy and ownership, allowing Lead Product Engineers to take charge of significant products while collaborating closely with a talented team in the heart of London. With competitive salaries, share options, and a flexible work environment that promotes both personal and professional growth, we are dedicated to solving meaningful problems in the AI space. Join us to be part of a small, dynamic team where your contributions truly matter.
Fyxer AI

Contact Detail:

Fyxer AI Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Product Engineer

✨Tip Number 1

Get to know the company inside out! Research Fyxer AI, understand their products, and be ready to discuss how your skills can directly contribute to their mission. This shows genuine interest and helps you stand out.

✨Tip Number 2

Prepare for the live coding session by brushing up on your Typescript and serverless architecture skills. Practice coding challenges that mimic real-world problems you might face as a Lead Product Engineer.

✨Tip Number 3

During the initial call, don’t just answer questions—ask them too! Inquire about the team dynamics, product vision, and how they measure success. This shows you're not just looking for any job, but the right fit.

✨Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, it gives us a chance to see your enthusiasm for joining our team.

We think you need these skills to ace Lead Product Engineer

Product Ownership
Metrics Development
Quantitative Data Analysis
Customer Insight Utilisation
Strategy Building
Typescript
Serverless Architecture
Full-Stack Engineering
AI Knowledge
Urgency in Work
Reliability Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Product Engineer role. Highlight your technical expertise in Typescript and serverless architecture, as well as any relevant experience in early-stage tech companies.

Showcase Your Strategy Skills: In your application, demonstrate how you've successfully built and executed product strategies in the past. Use specific examples to show your understanding of metrics and customer insights, which are crucial for this role.

Be Authentic: Let your personality shine through in your written application. We want to see your passion for AI and the problems we're solving. Don’t be afraid to share what excites you about the role and our mission!

Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and shows us you're serious about joining our team at Fyxer AI.

How to prepare for a job interview at Fyxer AI

✨Know Your Product Inside Out

Before the interview, make sure you have a solid understanding of the AI executive assistant and its features. Familiarise yourself with how it manages emails, messages, and meetings. This will help you demonstrate your passion and insight during discussions about product strategy.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with Typescript and serverless architecture. Bring examples of past projects where you've used these technologies effectively. This will show that you have the hands-on expertise needed for the role and can hit the ground running.

✨Prepare for the Case Study

The product case study is a key part of the process. Think about how you would approach building a strategy for a product area. Use quantitative data and customer insights to back up your ideas. Practising this beforehand will help you feel more confident and articulate during the interview.

✨Demonstrate Your Urgency and Intensity

Fyxer AI values urgency and intensity in work. During the interview, convey your enthusiasm for tackling challenges and your ability to execute strategies quickly. Share examples from your previous roles where you’ve demonstrated these qualities to show you’re a great fit for their fast-paced environment.

Lead Product Engineer
Fyxer AI
Location: City of London
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