This role is with one of Dex’s trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they’re looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.
The role
This is an AI-driven company tackling some of the world’s most critical social challenges. Its core product is already used by tens of thousands of frontline professionals across the UK, saving them significant time and enabling more human-centred support. Now expanding globally, it’s backed by leading investors and recognized for its rapid growth and impact.
Join a rapidly expanding product engineering team. This isn’t a ticket-taker role. You’ll own product outcomes end-to-end, from ideation with cross-functional partners to deployment, solving complex problems that blend technical and social impact. Expect high autonomy and a bias for action in a team that doubled in size this year.
The work
- Drive the full lifecycle of new features for a product used by tens of thousands of frontline professionals, from ideation with cross-functional teams to deployment.
- Architect and build scalable solutions across the stack (frontend, backend, infrastructure), leveraging modern technologies.
- Integrate and optimize cutting-edge generative AI and LLM tooling to enhance user workflows and deliver tangible social impact.
- Develop internal tools that empower the team to scale operations and support more people efficiently.
- Tackle complex, non-purely technical problems, ensuring pragmatic and impactful solutions for real-world users.
What You Bring
- Senior-level experience building and scaling complex software systems across the full stack (frontend, backend, infrastructure).
- A strong product mindset: you prioritize customer outcomes, make data-informed decisions, and thrive in cross-functional teams.
- Proven ability to architect scalable solutions, apply pragmatic technical choices, and adapt to evolving tech stacks.
- Experience working with or a strong interest in integrating generative AI/LLMs into production systems.
- Based in London or willing to commute regularly for in-person collaboration.
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