Senior Product Manager
Listed on 2026-09-12
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Business
Product Manager, AI Business & Operations
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 ResponsibilitiesProduct 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 ForExperience: Significant product management experience in a B2B software, fintech, insurtech,…
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