Lead Product Manager

Overview

As Lead Product Manager, you will own a high-impact product strategy and roadmap that drives growth, retention, and competitive advantage. You’ll partner with executives, enterprise customers, and engineering, design, and revenue teams to shape outcomes. You’ll lead with a strong product craft, leverage agentic AI tools, and set direction for a cross-functional team. This is a high-autonomy role reporting to the VP of Product, with scope to grow mentorship and leadership as the team scales.

Pay / Benefits

• 32 days of holidays (including bank holidays)
• Work from Home Equipment allowance
• Flexible Work from Home – 2 days remote a week
• 4 weeks paid long-distance work leave
• Sponsored Learning Opportunities
• Cycle2work scheme

Responsibilities

• Own and prioritize the strategic roadmap and align it with key metrics (NRR, MAUs, adoption)
• Provide a strong point of view on frontend design and UX quality; collaborate with ML and backend engineering on system and data architecture
• Present roadmap and strategy to executive and C-suite stakeholders and defend it under scrutiny
• Collaborate with Sales, Product Marketing, and Customer Success on positioning, deal support, and renewals
• Mentor product managers and potentially take on formal people leadership as the team grows
• Establish rigorous product craft: problem framing, PRDs, roadmap collaboration, post-launch measurement
• Incorporate agentic AI tools into the PM workflow and drive wider team adoption

Key requirements

• Experience leading B2B SaaS or AI products into enterprise organizations
• Experience with AI SDLC, Software Engineering Intelligence, DevOps, Developer Tools, Data Analytics and/or Agentic AI
• Comfort operating in fast-moving, ambiguous, multi-product environments
• Data-driven with ability to balance data and judgment in decision-making
• Ability to communicate effectively with engineers and executives; credible product voice in customer conversations
• Prior mentoring or management of product managers is a plus but not required

• Cross-functional collaboration
• Executive communication
• Strategic thinking
• Frontend design and UX quality
• ML engineering collaboration and model evaluation
• Backend data architecture considerations

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