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Lead Product Manager
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Lead Product Manager | £85-95k + 20% Bonus | Private Equity Platform | London (Hybrid)
A high-growth AI-enabled technology business working with private equity firms, advisers, and C-suite leaders globally is hiring a Lead Product Manager to scale its next-generation workflow and data platform. You’ll help shape intelligent automation, matching capabilities, and operational tooling in a fast-paced, high-ownership environment.
Salary Package
£85-95k + 20% Bonus + Benefits
Location
London (Hybrid, 3 Days a week in-office)
Sponsorship
Not Applicable
Over the past two years, the business has built a platform that now sits at the center of its operations, powering workflows, CRM processes, operational delivery, and data-led decision making across the company. With major investment recently made into Engineering and platform scalability, the Lead Product Manager will be focused on embedding AI-driven automation, improving internal workflow functionality, and building the foundations for a future client-facing product.
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The Lead Product Manager will:
- Own the roadmap, prioritization, and delivery of key platform features and improvements.
- Work closely with Engineering and Data teams to build scalable AI-enabled workflows, automation, and matching capabilities.
- Translate operational and commercial needs into clear product solutions, driving discovery, iteration, and continuous platform improvement.
- Improve workflow efficiency, usability, and adoption while helping evolve internal tooling into future client-facing products.
- Partner directly with senior leadership and stakeholders across Product, commercial, and operations.
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The Lead Product Manager must have:
- Proven experience within fast-paced technology environments.
- Strong end-to-end product ownership across discovery, prioritization, and delivery.
- Highly execution-focused with experience working closely with Engineering teams on testing, iteration, and scalable product delivery.
- Background building workflow-led, data-rich, or AI-enabled products in operationally complex environments.
- Strong stakeholder management, communication, and commercially-minded problem-solving skills.
- An interest in practical AI/LLM applications, automation, and workflow optimization.
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