At a Glance
- Tasks: Lead the development of AI-ready data strategies and platform standards for market intelligence.
- Company: Join ICIS, a leader in optimising global resources with innovative market insights.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a fast-paced environment.
- Why this job: Shape the future of AI in market intelligence and make a real impact.
- Qualifications: Experience in platform strategy, AI tooling, and strong collaboration skills.
The predicted salary is between 90045 - 110055 £ per year.
Are you excited by the opportunity to define how AI systems consume and interact with market intelligence at scale? Can you shape the standards, primitives, and distribution models that enable AI-native products across a global business?
At ICIS, our mission is to optimize the world’s resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel, and supply and demand data.
Our teams are fuelled by curiosity, relentlessly pursuing better customer outcomes. We’re on a mission to deliver an unparalleled customer experience, excelling in communication. In a fast-paced environment, we thrive, embracing change with flexibility and composure under pressure. Our high-energy, self-motivated individuals are driven by a genuine desire to make a positive mark on our business. But that’s not all - we’re creative problem solvers with an entrepreneurial spirit.
ICIS is building the AI capability that will define how chemical markets get intelligence, and this role owns the platform foundations that make it possible. You will define the AI-ready data strategy, semantics layer, and MCP-first distribution approach that powers internal product teams, partner integrations, and AI-native customer experiences. This is a highly influential individual contributor role where you will shape platform standards, drive adoption, and help establish how ICIS delivers trusted market intelligence through AI.
Responsibilities
- Own the platform mission and roadmap for AI-ready data, semantics, and MCP-first distribution.
- Define the standards, data contracts, schemas, versioning, deprecation approaches, and quality measures that underpin AI-ready data across ICIS.
- Evaluate customer signals and identify which repeatable workflows should become platform primitives, which remain bespoke, and which should be retired.
- Drive adoption of platform primitives across internal product teams, measuring success through usage and business impact.
- Shape AI-native distribution strategy, including protocols, channels, integrations, and commercial approaches.
- Lead the AI-ready data and content operations platform squad, providing direction and alignment without direct people management responsibility.
- Co-author the operating model for scalable AI platforms, including evaluation, oversight, lineage, and responsible AI capabilities.
- Partner with internal and external stakeholders to accelerate adoption, integrations, and commercial opportunities.
Requirements
- A track record shipping platform capabilities that others build upon, such as APIs, data products, semantic layers, evaluation frameworks, or comparable platform primitives.
- Experience owning platform strategy, roadmap, and delivery outcomes in data, AI, developer platform, or similarly technical product environments.
- Technical credibility to contribute to architecture discussions and evaluate approaches across areas such as RAG, evaluations, agents, tool use, MCP, and data platforms.
- Recent hands-on experience working with AI tooling through prototypes, integrations, agents, tools, or related practical applications.
- Experience influencing decisions in a matrixed organisation and working effectively with senior stakeholders across engineering, data science, commercial, legal, and executive teams.
- Strong product judgement with the ability to translate customer and operational feedback into scalable platform direction.
- Comfort navigating ambiguity, creating structure where needed, and driving platform adoption at scale.
- Experience with semantic technologies, AI/data interoperability protocols, AI platform integrations, or major data distribution ecosystems is beneficial.
Why This Role is Different
- This is platform product ownership focused on shipping reusable capabilities, driving measurable adoption, and creating commercial impact through AI-native channels.
- You will work directly with the VP Product Management and leadership across ICIS to help shape how the AI operating model evolves at ICIS, including how platform capabilities support delivery squads, products, and partner integrations.
- The AI-native distribution strategy is a strategic investment by ICIS, and this role is central to bringing that vision to life.
- As the platform capability expands, progression opportunities may include deeper individual contributor leadership, broader platform ownership, or future leadership opportunities within the growing AI platform organisation.
How You Work With The Rest Of The Organisation
- Partner closely with forward-deployed squads, using customer signals and real-world workflows to prioritise platform primitives and capabilities.
- Enable adoption across the wider ICIS product estate through office hours, enablement activities, and stakeholder engagement.
- Collaborate with external partners across AI platforms and data distribution channels, helping shape commercial and technical integration strategies.
- Act as a credible platform spokesperson when engaging with customers on AI-native distribution, MCP integrations, and platform capabilities, supporting commercial conversations alongside Sales teams.
Principal Product Manager, AI employer: RELX
RELX is an excellent employer that values its employees by fostering a collaborative and inclusive work culture in the vibrant setting of Greater London. With generous holiday allowances, health screening benefits, and opportunities for professional growth, employees are encouraged to develop their skills while contributing to meaningful customer relationships in the SaaS industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Product Manager, AI
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like RELX!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at RELX would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at RELX through your school's career services!
We think you need these skills to ace Principal Product Manager, AI
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Principal Product Manager, AI, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Principal Product Manager, AI position at RELX. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at RELX
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
