Product Manager (Manchester, ENG)
Product Manager at a RegTech/SaaS communications compliance supervision platform in Manchester (hybrid, 2 office days). Owns a product area end to end, supports 1-3 engineering teams, talks to customers weekly, and uses AI tools like Claude and Cursor daily to ship fast.
- Compensation
- £60K–£75K / yr
- Location
- Manchester / Hybrid (2 days a week...
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Product
- Posted
Skills
Must have
- Shipped a product, business, or side project you owned end to end
- Great taste with strong product opinions
- Judgement at speed — ship, learn, correct
- Strong, direct, concise communication
- Data literacy and comfort with product analytics
- Hands-on daily use of AI tools (Claude, Cursor, Codex, or similar)
- Holds self and others to a high bar
Nice to have
- 2-4 years in PM roles, or equivalent experience as founder, engineer, or designer
- Compliance / fintech / regulated-industry experience
- Experience shipping LLM-powered features in production
- Familiarity with product analytics tooling (PostHog, Pendo, or similar)
- Public written or audiovisual work (blog, Substack, GitHub, YouTube)
- Experience running pod-based or squad-based teams
Full description
Product Manager
Industry: RegTech | SaaS | Compliance
Location: Manchester / Hybrid (2 days a week in the office)
Salary: £60,000 – £75,000 DOE
Are you a Product Manager who wants to own outcomes rather than manage a backlog, someone who uses AI in the work itself rather than just talking about it, and who's energised by shipping fast and living with the results? This is an opportunity to join an ambitious, scaling RegTech/SaaS business that's redefining what product management looks like, giving PMs genuine autonomy and real accountability for what gets built and why.
The Opportunity
You'll be joining a communications compliance supervision platform processing hundreds of millions of events monthly for thousands of organisations worldwide. You'll work across the full stack: web capture systems, large-scale data pipelines, communications archiving, and customer-facing products.
This role goes beyond backlog management. You'll set direction, defend it, and take real responsibility for what gets built and why, using AI in the work itself, for research synthesis, prototyping, competitive analysis, comms, and spec work, to move at real pace. This company is past the scrappy startup stage but still small enough that the work you do this week is in production next week, and product management is treated as a first-class discipline here, not an afterthought.
What You'll Do • Own a product area, end to end: set the roadmap, defend it to leadership, customers, and yourself, and ship weekly by default. • Directly support 1 - 3 product engineering teams of 2 - 6 people each, carrying direction, sequencing, roadmap, and the client story. The PM and the engineers decide, ship, and learn together, with no matrix or steering committee. • Use AI in the work itself: Claude, Cursor, or equivalent, every day, showing up in your PRDs, research synthesis, prototypes, and comms, not just in what you ship. • Talk to customers every week: advisors, compliance officers, ops leads, feeding their words directly into the product. • Make decisions with data on the table, mixing good judgement with hard evidence, and going to get the data yourself (or writing down the assumption) when it doesn't exist. • Communicate clearly and often: share progress openly, raise concerns early, and close the gap between what the team builds and what the customer experiences.
What You'll Bring
Essential • You've shipped things you can talk about: a product, a business, a side project. What matters is you decided what to do, shipped it to the world, and lived with the outcome. • Great taste. You have opinions about products and defend them, and you notice when something is 10% off and figure out how to fix it. • Judgement at speed. You'd rather ship, learn, and correct than gather one more signal. • A strong communicator in practice: direct, concise, opinionated, and willing to be wrong out loud. • Data literacy, comfortable with data and product analytics, and able to reason from first principles when the data isn't there. • Hands-on experience using AI tools (Claude, Cursor, Codex, or similar) as part of your daily workflow. • You hold yourself and those around you to a high bar.