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Technical Product Manager
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Technical Product Manager | £70-80k + Share Options | AI SaaS | London (Hybrid, 2 days per week) | JA9879
A profitable AI SaaS business is looking for a hands-on Technical Product Manager to help shape the next stage of growth for a web-based platform used by brands to test creative ideas before investing in production and advertising.
The platform combines AI with real target-audience insight, enabling customers to validate campaigns and creative concepts using thousands of objective consumer responses. As the business grows, the Technical Product Manager will improve its scalability by developing self-service capabilities, streamlining internal processes and using data to drive better product decisions.
Salary Package: £70,000-80,000 + Share Options (after one year) + Benefits
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Location: Central London (hybrid, two days per week)
Sponsorship is not available.
Working alongside the CTO and Principal Product Designer, the Technical Product Manager will become the third voice in Product. This is a hands-on role for someone who enjoys the detail of delivery, from scoping bodies of work and identifying risks to writing Jira tickets, planning sprints and maintaining momentum against agreed timescales.
The Technical Product Manager will:
- Co-own the product roadmap using customer insight and data.
- Scope work, write detailed Jira tickets and define clear outcomes.
- Manage the Jira backlog, sprint planning, priorities and timescales.
- Identify delivery risks, dependencies and process improvements.
- Improve self-service workflows and product scalability.
- Challenge assumptions while maintaining a high-quality delivery bar.
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The Technical Product Manager must have:
- In-house Product Management experience within a web-based SaaS or technology business.
- Hands-on experience with Jira, ticket writing, backlog management and sprint planning.
- Experience delivering products within a start-up or scale-up environment.
- Strong attention to detail and enjoyment of day-to-day product delivery.
- A data-driven, outcome-focused approach to prioritisation.
- Confidence influencing senior Engineering and Design stakeholders.
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