Principal Product Manager, Customer-Deployed

Overview

You will lead ICIS’s first forward-deployed product team, partnering with chemicals customers to define a discovery-led development model. In this role you guide cross-functional squads from discovery through pilots to scalable patterns, owning customer relationships and measurable value delivery. You’ll shape how customer insights translate into product direction, balancing experimentation with commercial impact. This is an entrepreneurial, high-velocity role that directly influences platform strategy and customer outcomes. You will work closely with sales, AI capabilities, and platform teams to scale validated patterns and playbooks.

Responsibilities

• Lead 2–3 active forward-deployed initiatives with named chemicals customers
• Deliver the first working PoC to a customer within 60 days of joining
• Drove the first paid pilot to go live within one quarter
• Own the squad’s discovery and delivery rhythm with weekly customer engagement
• Maintain a live discovery view for every initiative
• Act as the taste gate for outputs; require a working PoC before PRD creation
• Decide to kill, pivot, or promote discovery tracks based on evidence and customer value
• Create documented playbooks and enablement materials for Sales and central productisation teams

Key requirements

• Track record in customer-back, forward-deployed or embedded product work with shipped outcomes in complex customer organisations
• Experience in strategy or transformation consulting + ownership of a shipped customer outcome
• Customer judgement at senior levels; ability to uncover unstated constraints
• Leadership through influence; ability to lead cross-functional teams without formal authority
• Commercial judgement; translate customer reality into product direction and prioritisation
• Technical fluency to engage with engineering and data science; familiarity with modern AI production patterns (RAG, evals, agents, tool use, MCP) and prototyping AI-driven solutions
• Comfort working in ambiguity and delivering measurable outcomes
• Strong communication tailored to customers, technical stakeholders, and senior leadership
• Alignment with Data Services Mindset and RELX Leadership Excellence; adherence to Responsible AI principles

• Collaborative mindset
• Influence without authority
• Strategic decision-making
• AI/ML concepts and production patterns (RAG, evals, agents)
• Prototyping AI-driven solutions
• Engagement with engineering and data science teams

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