Product Engineer (AI and Technical Projects)

About WeArisma

WeArisma is a UK-based social and cultural intelligence platform. We detect brand content that nobody tagged, across video, audio and image, so brands see the full picture of how they show up online, not just the posts that mention them.

Our clients include Gucci, Kering, Campari, L'Occitane and Shiseido, alongside financial institutions and sports and media organisations. With our relaunch as WeArisma.ai and our AI agent, Aura, we are moving from dashboards to answers built around each client's questions.

The role

This is a builder role for someone who wants to turn promising ideas into working software and help shape what we build next. As our Product Engineer, you’ll work closely with our COO, alongside our designer, our engineers and other teams across the business. You’ll combine hands-on development with the commercial judgement to focus on problems worth solving.

You’ll write code and use AI development tools to build prototypes and internal tools in our separate application for testing new ideas. You’ll put working software in people’s hands, test it with users across the business and turn their feedback into a better next version. When a prototype proves its value, you’ll help establish how it could fit into the customer platform.

You’ll also help choose where the team focuses its effort. You’ll learn our customer platform’s capabilities, workflows, data flows and technical constraints, then weigh new requests against existing plans and recommend what comes next. You’ll provide clear priorities, timely decisions and feedback. When plans shift, you’ll explain what changes for each team affected and why.

Expect a roughly even split between hands-on building and shaping priorities to keep engineering delivery moving.

Location: London, hybrid; UK-based

Salary: £65,000–£80,000 per year, depending on experience

Employment: Full-time, permanent

Reports to: COO

What you’ll do

• Help set priorities across the business. Work with the COO to assess incoming requests, weighing their value, urgency and fit with existing commitments. Discuss trade-offs with engineering and design, and agree what comes next and what can wait.
• Keep teams clear on decisions and changes. Review proposed solutions, make day-to-day decisions within agreed goals and secure timely input when needed. When priorities change, clarify what moves, what pauses and why, so everyone affected can plan their work.
• Build prototypes and internal tools. Develop working software yourself and improve existing tools, using AI development tools effectively.
• Turn ideas into useful solutions. Work with the teams behind each idea to understand the opportunity, explore possible approaches and use prototypes to test value before committing to wider development.
• Bring proven capabilities into the customer offering. Work with engineering and design to establish how validated prototypes should fit into the customer platform, including the user experience and data requirements.
• Test, debug and improve your tools. Gather user feedback, check that workflows deliver the intended result and follow improvements through in the prototypes and internal tools you build.

What you’ll bring

Your experience might come from software development, a startup or another broad technical role. We’re interested in what you have built and the judgement behind it.

• Practical development ability. You can build and improve web applications and internal tools, working with APIs and databases. You can show examples of working software you have personally developed.
• Product and technical judgement. You can learn how an existing platform works, understand engineering proposals and ask useful questions about feasibility, effort and user impact.
• Commercial judgement. You’re interested in why something matters to a customer or the business. You can weigh value, effort, urgency and complexity when deciding what is worth doing.
• Effective use of AI development tools. You use AI to accelerate development while understanding, testing and taking responsibility for the code you use in your tools.
• Ownership, collaboration and communication. You bring your own recommendations, balance requests from different teams and follow decisions through. You explain trade-offs clearly, keep people informed when plans change and adjust the level of detail for your audience.

Nice to have

• Experience with B2B SaaS, data products or AI applications would be useful.

How we work and what we offer

You’ll have direct access to customer and business context, support as you learn the business and room to grow your ownership across product and technology.

To apply: Send your CV and a brief example of a tool or prototype you personally built. Explain the need it addressed, the decisions you made and how feedback shaped the result.