At a Glance
- Tasks: Lead the development of AI-driven email solutions and shape product strategy.
- Company: Join a fast-growing AI startup focused on revolutionising email.
- Benefits: Competitive salary up to £500k, equity options, and a dynamic work environment.
- Why this job: Be part of a small, elite team making a real impact in the tech world.
- Qualifications: 5+ years in software development with expertise in Python or TypeScript.
- Other info: Enjoy autonomy, ownership, and rapid growth opportunities in a focused team.
The predicted salary is between 36000 - 60000 £ per year.
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.
We’re solving the biggest problem in modern work: email. 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.
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.
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
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 £500k package!
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Information Technology
Industries: Software Development
Lead Product Engineer in London employer: Fyxer AI
Contact Detail:
Fyxer AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Product Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, attend meetups, and connect with potential co-founders. You never know who might have the inside scoop on job openings or be looking for someone just like you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI/ML. This gives you a chance to demonstrate your expertise and passion directly to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to product engineering. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and tackling the exciting challenges we face.
We think you need these skills to ace Lead Product Engineer in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for AI and product engineering shine through. We want to see that you’re genuinely excited about solving real problems and building something impactful.
Tailor Your Experience: Make sure to highlight your relevant experience in Python or TypeScript, especially any hands-on work with AI/ML tooling. We love seeing how you've owned systems end-to-end, so don’t hold back on those details!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for our team. Remember, we’re looking for strong product intuition and a user-centric mindset.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into our hiring process. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Fyxer AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python or TypeScript, as well as modern AI/ML tooling. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Product Intuition
Prepare to demonstrate your ability to translate ambiguous problems into impactful product decisions. Think of examples where you’ve made user-centric choices that led to successful outcomes, and be ready to share those stories.
✨Embrace the Startup Mindset
Highlight your comfort with extreme ownership and rapid iteration. Share experiences where you thrived in high-autonomy environments, showcasing your ability to adapt and innovate quickly.
✨Focus on Real Problems
Understand the company’s mission to solve email issues with AI-generated drafts. Be prepared to discuss how you can contribute to this goal and bring fresh ideas to the table that align with their vision.