Engineering
Senior Product Manager
The Role
We are seeking a Senior Product Manager to help us professionalise and scale our product function.
Today, much of Diesta’s product thinking sits across leadership, engineering, implementation, design, and customer-facing teams. As the company grows, we need someone who can bring these inputs together and turn them into clear product requirements, strong specifications, well-organised backlog items, and implementation-ready detail for engineering and design.
This person will work closely with leadership, the Head of Engineering, the CTO, implementation consultants, account management, customer-facing teams, designers, QA, and engineers.
The role is especially focused on specification, product structure, edge-case discovery, and internal orchestration. The Senior Product Manager should be client-aware and commercially aware, but the role is expected to be more internally focused than externally sales-led.
Over time, this person could grow into a broader product leadership role.
Key Responsibilities
Product Specification: Own the creation of clear, structured, implementation-ready product specifications for new features, platform improvements, workflows, reports, and operational capabilities.
Edge-Case Discovery: Obsess over edge cases, exception flows, data integrity risks, permissions, reconciliation scenarios, operational failure modes, and non-happy-path behaviour.
Requirement Shaping: Gather and synthesise inputs from customer-facing teams, implementation consultants, account managers, leadership, engineers, designers, operations, and clients where appropriate.
Product Coherence: Help protect Diesta from becoming a collection of bespoke customer-specific features. Challenge requests constructively and ensure new functionality fits the broader platform direction.
Internal Product Ownership: Maintain and improve Diesta’s internal product request process, product backlog, discovery notes, and specification workflows across tools such as Notion, Atlassian/Jira, Google Drive, or future systems.
Engineering Readiness: Ensure that engineering teams receive sufficiently clear, well-considered requirements before build work starts, reducing ambiguity, rework, and last-minute changes.
Design Collaboration: Work closely with design to translate complex product requirements into usable workflows, screens, buttons, states, and user journeys.
Customer Context: Where needed, work with customer-facing colleagues to clarify client needs, validate proposed solutions, and support sign-off on feature scope.
AI-Leveraged Product Work: Use AI tools to accelerate research, requirement analysis, document review, specification drafting, backlog organisation, and cross-tool knowledge retrieval.
Scenario Mapping: Map out different user journeys, operational scenarios, permissions, data states, integrations, reporting needs, and exception cases before features enter development.
Backlog Quality: Build and maintain a backlog of properly thought-through product opportunities so that available engineering capacity can be directed toward high-value, well-defined work.
Cross-Functional Alignment: Act as the connective tissue between product direction, implementation reality, customer requirements, design, and engineering execution.
Operational Awareness: Understand how product choices affect implementation, customer success, payments operations, reconciliation, reporting, support, and internal workflows.
Developing Product Function: Help define how product management should work at Diesta as the company grows, including documentation standards, discovery processes, specification quality, and collaboration rhythms.
What We’re Looking For
Experience: Significant product management experience in a B2B software, fintech, insurtech, payments, banking, financial infrastructure, or similarly complex operational software environment.
Specification Strength: Proven ability to write clear, detailed product specifications that engineering and design teams can use without excessive back-and-forth.
Logical Thinking: Strong ability to structure complex problems, break them into scenarios, identify dependencies, and reason through consequences.
Edge-Case Orientation: Naturally drawn to exception handling, failure modes, unusual customer behaviour, data mismatches, permission issues, reconciliation gaps, and operational edge cases.
Product Judgement: Ability to distinguish between a valid customer need and a customer-specific implementation preference. Comfortable saying no, narrowing scope, or proposing a more scalable alternative.
Technical Fluency: Comfortable working with engineers on APIs, data flows, platform constraints, integrations, reporting, permissions, and system behaviour. You do not need to code, but you must be able to reason clearly about technical product implications.
Customer Awareness: Able to understand client needs and ask sharp questions, while not simply acting as a pass-through for client requests.
AI-Enabled Working Style: Comfortable using AI tools to review documents, analyse requirements, interrogate knowledge bases, draft structured specs, and improve personal productivity.
Collaboration: Able to work across leadership, engineering, design, implementation, customer-facing teams, and operations without creating unnecessary friction or process overhead.
Ownership: Willing to take responsibility for product detail and drive work from rough idea to implementation-ready clarity.
Communication: Clear written and verbal communication. Strong ability to simplify complexity without losing important detail.
Pragmatism: Able to operate in a fast-moving company where priorities change, customer needs are urgent, and perfect information is rarely available.
Our Expectations
We expect you to turn ambiguous product ideas, customer requests, and internal inputs into clear, implementation-ready specifications. You will build a deep understanding of Diesta’s platform and use that context to identify edge cases, challenge assumptions, and protect the product from becoming a collection of bespoke customer requests.
You should raise the quality of our product process by creating structured backlog items, improving documentation, and giving engineering and design the clarity they need to move quickly. This role requires strong ownership, sound judgement, and the ability to use AI and modern tools to work faster without compromising accuracy or product discipline.
Why Join Diesta?
Join a mission-driven team addressing real pain points in insurance finance.
Be part of a lean, high-performing team with direct impact on product and client outcomes.
Work with top insurers and brokers in an industry ripe for disruption.
A culture of high trust, low ego: we value competence, commitment, and transparency.
Benefits
Hybrid work model with a central London office (Bank / Liverpool Street)
Private healthcare insurance
Regular team lunches and international offsites
State-of-the-art technical equipment
22 days annual leave (excluding bank holidays)
Interview Process
Intro Call with our Chief of Staff to explore your background and aspirations.
Technical Interview with the Head of Engineering.
Onsite Workshop at our London office, collaborate with the team and experience our culture first-hand.
Interested in solving real-world data problems and shaping the future of insurance payments?
Apply now to join Diesta at recruitment@diesta.co.uk
