Product Manager

Job Title: Product Manager Location: Remote or Hybrid (London) Salary: £80,000 + Metric-Based Bonus + Equity Contact: Our client is building an AI-native Command Center designed to transform how organisations operate. By unifying internal and external data, their platform empowers teams to make smarter decisions and better anticipate future outcomes. They blend behavioral and proprietary datasets with external insights to help leaders gain clarity and drive performance. With early traction in high-profile sectors like sports and entertainment - including partnerships with leading global brands - and backed by a recent eight-figure venture round, they are growing fast. Their platform includes one of the world's most extensive interconnected business datasets, covering people, companies, customers, and related business entities. They also develop custom LLM agents trained on real-world behavioral data to enhance decision-making and drive better outcomes. Why Join? You'll have real ownership, influence, and the chance to work at the intersection of AI, data, and business strategy. They move fast, iterate in weekly sprints, and build with purpose. If you thrive on high-impact work, tight feedback loops, and a role that spans product, customer, and data - this is for you. Key Responsibilities:

1. Lead end-to-end product development, from discovery to launch and iteration
2. Build and scale proprietary data, AI agents, automation tools, and Chrome extensions enabling smarter workflows for sales and marketing teams
3. Partner with customers to understand core needs and pain points in their go-to-market strategies
4. Collaborate cross-functionally to align product direction with business goals
5. Prioritize and define product requirements based on impact and effort
6. Track and report on product performance using clear success metrics
7. Champion creativity in problem-solving internally and externally

What we're looking for:

1. 3-7 years of product management experience in B2B SaaS
2. Experience building data platforms and/or products for data-driven sales and marketing teams
3. Deep customer centricity; obsess over user needs and build accordingly
4. High AI fluency; knowledgeable about or building AI products; excited to apply AI to improve user workflows and outcomes
5. Strong entrepreneurial mindset; proactive, hands-on, thrives in a fast-moving, early-stage environment