Founding Product Engineer
Role: Founding Product Engineer Industry: SaaS / Engineering Tools Company size:< 5 Work type: London (Open to Remote First or Hybrid) Salary: £100,000–£120,000 + EquityWedo Tech has partnered with a pre-seed AI SaaS startup that’s developing a platform to make planning and decision-making faster and more transparent for engineering organisations. Their goalis to turn messy, disconnected data into a single, reliable source of truth that links engineering performance directly to ROI.They’re under a year old and already gaining serious traction three enterprise clients live, eleven more lined up. You’ll be working directly with a founder who’s been there and done, got the T-shirt having previously built, scaled, and successfully exited a tech company, now taking on their next challenge with renewed focus.This role is for someone who knows what to build, not just how. Someone commercially minded, confident enough to challenge assumptions, and capable of balancing speed with good judgement. You’ve likely operated at Senior, Staff, Principal, or Early-Stage CTO level and comfortable with ambiguity and fast-moving teams.You’ll be hands-on, close to customers, and tuned into how engineering decisions drive revenue and product outcomes. You’re low ego, opinionated yet flexible, and able to course-correct quickly.Day-to-day
- Build and ship product features end-to-end
- Collaborate directly with founders on roadmap and technical priorities
- Translate customer needs into meaningful, high-impact releases
- Simplify complex problems across financial modelling and data systems
- Help shape architecture and best practices for a modern AI-driven stack
- Establish early engineering culture, tooling, and ways of working
- Iterate fast, learn fast, and balance speed with sustainability
- Proven experience building products from discovery through delivery
- Comfort working across modern web stacks (TypeScript, React, Python, or similar)
- Strong understanding of databases, APIs, and data pipelines
- Curiosity and pragmatism in handling technical trade-offs
- Experience in early-stage or fast-moving environments
- Awareness of machine learning fundamentals (you don’t need to be an expert)
- Ability to turn complexity into clarity through design and code
- Low ego, high autonomy, and strong commercial awareness
- Energised by early-stage building and customer collaboration
- Commercially minded and comfortable challenging assumptions
- Calm under pressure and decisive in ambiguity
- Excited by the idea of building both product and process from scratch
- You don’t need to tick every box. If this sounds like you, you should apply.