Technical Product Manager; AI
Listed on 2026-06-01
-
IT/Tech
AI Engineer, Data Science Manager, Data Scientist, Data Analyst
At Verve,we’reredefining how insight works in an AI-powered world — combining
Human, Cultural and Artificial Intelligence
to help clients act with greater speed and confidence.
Through
Verve Vero — our AI-powered platform and consultancy ecosystem
— we build
AI-enabled insight tools, simulations and models
that bring human truth into the heart of decision-making. From
Verve Intelligent Personas & Simulations
to
bespoke solutions
grounded in client data, everything we create is designed toenable confident decisions of consequence with real-world impact.
Our work spans categories and continents, helping global brands navigate complex challenges — from innovation and brand strategy to customer experience and future planning. We combine deep human understanding with AI to deliver insight that is faster, more scalable, and more actionable.
This is a
hands-on environment. We move quickly, test and learn, and continuously build and refine the tools that power our work. Curiosity, experimentation and practical application sit at the heart of how we operate.
Ifyou’relooking for a high-impact role at the forefront of AI and insight –thisis it.
Asa Technical Product Manager(AI) in the R&D Lab,you’llbe hands-on bringing ideas to life–experimenting, testing emerging tech, and rapidly prototyping new Vero tools and processes, while improving the ones we already have.
We’relooking for someone who combines hands-on technical capability with the ability to manage projects end-to-end — working closely with
R&Dteam members andinternalstakeholders tobuild solutions that are practical, scalable, and fit for both consumers and businesses.
- Identify and prioritise opportunities to improve or create Vero tools and processes
- Rapidly prototype and run fast, lightweight experiments
- Translate successful prototypes into production-ready solutions
- A technical background with hands-on Python experience. Computer Science degree (or similar) preferred but not required.
- Working knowledge of AI concepts and infrastructure – APIs, LLMs, prompt engineering, RAG, MCP, vector embeddings, agentic pipelines
- Interest or experience in applying AI to product development or improving ways of working
- Experience collaborating with cross-functional and multidisciplinary teams – product, dev, marketing, and more
- Ability to deeply understand problems from the user’s perspective – not just a from a technical POV
- A clear, confident communicator – able to explain complex technical ideas simply and align teams around them
- Ability to manage a project from start to finish – working with others, meeting deadlines, and prioritising tasks
- A growth mindset – you’re comfortable with ambiguity, take initiative without waiting for detailed direction, and thrive in fast-moving, entrepreneurial environments
- Experience in the market research sector
- Experience building AI tools to improve business processes – especially if you’ve run early-stage experiments or created rapid prototypes using low/no-code platforms (e.g. Lovable)
- Experience building modern web apps (e.g. using React, Typescript)
- Exposure to cutting-edge AI tools and thinking – practical, not theoretical
- Working at the intersection of product, tech, consultancy and clients
- Autonomy to test, learn and influence how things get built
- Collaborating with an ambitiousglobalteamsolving real-world problems
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