- Location
- London
- Workplace
- Hybrid
- Type
- Full-time
- Department
- IT
- Seniority
- Manager
- Closing date
- Today
- Source
- Vincere
Description
Technical Product Manager
Intelligence and Investigations AI software scale-up
London, hybrid (3 days)
£100k - £125k base + benefits
You know how a claims fraud investigation really runs. Now go and build the product that fixes it.
The Company
Founded in 2018 by people out of law enforcement. Multi-million ARR and growing. Their platform connects customer data, external intelligence, existing systems, AI and human review in workflows that customers configure themselves. Government is the established base. New funding is taking it into insurance, fintech and banking.
What You'll Own
- Turning what marquee customers have already built into reusable use cases that sell again and again
- Discovery with customers: map the process, define users, value and success measures
- Specifications, user stories, business rules, data requirements and acceptance criteria
- Journeys, screen flows and prototypes, including how users review AI output and handle exceptions
- AI behaviour: evaluation cases, human review points, acceptable quality, cost and response time
- The backlog, from requirement through release to adoption
Why This Role is Special
- Let's be clear: the CEO, who is also the CPO, does this job today. You shadow him, then you take it off his desk. That is about as direct a line into product direction as you will find.
- It is a product role with a commercial brain. You sit close to sales and solutions, you can hold your own in front of a customer, and you decide what is configuration and what is a product gap.
Must-Haves
- Experience in technical product management, product ownership or business analysis, working closely with engineering
- Real operational knowledge of insurance claims handling, claims investigation and fraud. Payments due diligence and financial crime depth will also be considered
- Working knowledge of workflows, APIs, JSON, data mapping and integrations
- Practical experience applying AI to business processes and defining human oversight
- Hands-on UI/UX: wireframes, prototypes, usability testing
Nice-to-Haves
- Graph data, entity resolution or relationship analysis
- Low-code tools, SQL or scripting
- B2B SaaS releases with measured adoption
Why apply?
If you want to join a company early, make a big impact, and be a part of something, then this is the opportunity for you.