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For Companies At a Glance
- Tasks: Lead a talented team to build innovative AI experiences and shape product vision.
- Company: Exciting pre-seed startup focused on equal access to coaching at work.
- Benefits: Competitive salary, equity opportunities, and a hybrid work model.
- Other info: Dynamic environment with rapid growth and career advancement opportunities.
- Why this job: Join us at take-off stage and make a real impact with cutting-edge AI tech.
- Qualifications: Experience in leading projects, Python, and deploying AI systems.
The predicted salary is between 50000 - 65000 £ per year.
Location: London (Hybrid – around 2 days a week in the office)
Salary: £50k to £65k, based on experience
Equity: Will be multiplied very rapidly if successful
Stage: Pre-seed / Seed (we’re already revenue generating)
About Us
Our mission? Creating equal access to coaching at work. How we make it happen? Our AI coaching platform replicates the coaching of 9 of the world’s top experts. Our multimodal platform is fuelled by the top 0.1% experts, and includes real-time advice features bringing insights from world-class coaches into the flow of work. We freshly raised to make this become a reality. We’re early, we’re ambitious, and we’re doing something that hasn’t been done before.
The Role
We’re looking for a Senior Product Engineer with exceptional capabilities seeking to grow into a Senior Leadership Role. Someone who likes to punch above their weight and is excited by the idea of building the 1st ever learning tool with 100% active users.
- Are you an AI expert? We’re looking for an AI expert who will find it exciting to obsess and innovate in the field of real-time augmentation.
- Are you a builder at heart? You understand users, and love owning features end-to-end: from product thinking and technical design to shipping polished experiences.
- Are you strategic? You will work directly with Ben, CEO and founder on our startup’s #1 goal: taking off and unlocking that series A round.
Last but not least, this role is for risk-takers only. Don’t apply if you seek a predictable, comfortable job.
What You’ll Be Doing
- Bring the company’s tech strategy and product vision to life.
- Lead and coordinate a small team of talented engineers.
- Adjust course based on 16-month worth of data and user feedback (and counting!).
- Build out our AI experiences — things like RAG pipelines, multimodal user experiences, and LLM-powered experiences that actually work in production.
- Embed Ignitus into the flow of work with low-complexity integrations.
- Experiment with the latest models, tools, and APIs to stay ahead of the curve.
- Own Data and Security policy.
- Support the CEO/sales team during IT audits.
- Keep the platform secure, stable, and scalable as we grow fast.
What You’ll Bring
- Experience leading technical projects or teams (startups or small teams are a big plus).
- Strong background in Python, FastAPI, or similar frameworks.
- Experience working with LLMs, vector databases, and retrieval-augmented generation (RAG).
- Hands-on experience deploying AI systems in production.
- Experience in dealing with IT audits with prospects.
- A good grasp of cloud infrastructure (Azure, AWS, or GCP).
- A curiosity for how people learn and grow — and how tech can help with that.
Why This Role
You’ll be joining at take-off stage, where every product decision shapes how high the company can go. If you succeed, the team will 2-3x in the next 12 months, opening up opportunities to step up into more senior roles. You’ll get to work with cutting-edge AI tech — not just talk about it. You’ll have a lot of autonomy, trust, and influence within a small and passionate team. The equity package and progression reflects how important this role is — you’ll have real ownership in where this goes. If you love the idea of building an AI product that actually helps people — and you want to be there from the start, helping shape both the tech and the culture — we’d love to chat.
Senior Product Engineer employer: Ignitus
Contact Detail:
Ignitus Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and product engineering. This gives us a tangible way to see what you can do and how you think.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to product engineering. Think about how you’d tackle real-time augmentation challenges or lead a small team. We want to see your thought 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 us you’re genuinely interested in being part of our mission to revolutionise coaching at work.
We think you need these skills to ace Senior Product Engineer
Some tips for your application 🫡
Show Your Passion: When you write your application, let your enthusiasm for AI and product engineering shine through. We want to see that you're not just looking for a job, but that you're genuinely excited about building something groundbreaking with us!
Tailor Your Experience: Make sure to highlight your relevant experience in Python, FastAPI, and AI systems. We’re keen on seeing how your background aligns with our mission, so don’t hold back on showcasing your skills and projects that relate to the role.
Be Authentic: We appreciate honesty and authenticity. Share your unique perspective on learning and growth, and how you think tech can play a role in that. This is your chance to stand out, so be yourself and let us know what drives you!
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you into the conversation about joining our ambitious team!
How to prepare for a job interview at Ignitus
✨Know Your Stuff
Make sure you brush up on your knowledge of AI, Python, and FastAPI. Be ready to discuss your hands-on experience with LLMs and RAG pipelines. The interviewers will want to see that you can not only talk the talk but also walk the walk when it comes to technical skills.
✨Show Your Passion for Innovation
This role is all about building something new and exciting. Share examples of how you've innovated in past projects or how you’ve approached problem-solving creatively. They’re looking for someone who’s not afraid to take risks and push boundaries.
✨Understand Their Mission
Familiarise yourself with the company’s mission of creating equal access to coaching at work. Think about how your skills can contribute to this goal and be prepared to discuss how you can help bring their tech strategy and product vision to life.
✨Prepare Questions
Have a few thoughtful questions ready to ask during the interview. This shows your interest in the role and the company. You might want to ask about their plans for scaling the team or how they envision the future of their AI platform. Engaging in a two-way conversation can really set you apart!