Senior Product Manager (Data Products)

Globalwebindex; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Globalwebindex in London is seeking a Senior Product Manager to own the AI and data product suite, defining vision, strategy, and roadmaps while collaborating with data science and ML teams to deliver value to enterprise clients.

You will shape responsible AI practices, pricing models, and partner with Finance to align packaging with client needs, reporting to the Exec team.

Qualifications

• Shipped AI/ML/data analytics products in a B2B SaaS context.
• Understanding how AI/ML products are built (LLMs, retrieval, agents, predictive models).
• Able to work with engineers on data quality, modelling, delivery (APIs, dashboards, integrations).
• Experience building complex roadmaps with cross-functional dependencies.
• Decisive with incomplete information and proactive initiative.
• Strong problem solving, negotiation, and influence; able to align without authority.
• Able to explain complex concepts to execs, engineers, customers.
• Bonus: market research or analytics with large-scale datasets; pricing for AI/API products.

Responsibilities

• Define the vision, strategy, and positioning of the AI and data product suite within GWI's platform.
• Identify where AI/ML adds real value for clients and separate useful from novel.
• Collaborate with DS/ML Eng on models, data, pipelines to ensure accuracy, reliability, scalability, and trust.
• Define AI quality measures, evaluation frameworks, benchmarks, feedback loops, and shipping criteria.
• Shape responsible AI practices: transparency, governance, privacy, and explainability.
• Build roadmap from feedback, market/competitor insights, and usage analytics, prioritising value.
• Lead from discovery to launch, shaping commercial model, pricing, and packaging with Finance.
• Communicate progress, trade-offs, and results to Exec and stakeholders.

Skills

AI/ML product experience

B2B SaaS familiarity

Data quality & delivery

Roadmap management

Cross-functional collaboration

Executive communication

Tools

APIs

Dashboards

Integrations

Job description

Weekly office requirement: 2 days per week, Mondays & Wednesdays

Employment type: Permanent

Seniority level: Senior

Language: All stages of the recruitment process will be conducted in English

At GWI we're always looking for extraordinary people who thrive on making an extraordinary impact. Right now we're looking for a Senior Product Manager to play a key role in our Data Product team in London. If that's you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.

Sounds great, what will I be doing?

• Defining the vision, strategy, and positioning of our new AI and data product suite, and how it fits into GWI's wider platform
• Identifying where AI and ML create real value for clients, and separating what's genuinely useful from what's just novel
• Working with Data Science and ML Engineering on the models, data, pipelines and methodology behind the products, so they are accurate, reliable, scalable, and trusted
• Defining how we measure AI quality, including evaluation frameworks, accuracy and reliability benchmarks, and feedback loops, and deciding what 'good enough to ship' means
• Shaping our approach to responsible AI, covering transparency, data governance, privacy and explainability, so clients can trust what the products tell them
• Building the roadmap from client feedback, market and competitor insight, internal stakeholder input and usage analytics, then prioritising the most valuable work
• Taking products from early discovery and prototyping through to launch and adoption, including shaping the commercial model, pricing and packaging with Finance and Revenue teams (including usage-based and consumption models)
• Communicating progress, trade-offs and results clearly to the Exec team and wider business

What do I need to bring with me?

• You've shipped AI, ML, data or analytics products at a B2B company, ideally SaaS
• You understand how AI and ML products are built (for example, LLMs, retrieval, agents, predictive models)
• You're comfortable with data. You can work with engineers on data quality, modelling, and delivery (APIs, dashboards, integrations)
• You've built complex roadmaps with cross-functional dependencies, and you can balance multiple priorities without losing the plot
• You make informed decisions at pace, even when the picture isn't complete, and you're happy taking a big initiative and running with it
• You're a strong problem solver, negotiator, and influencer. You get alignment without needing authority
• You explain complex things clearly to very different audiences: execs, engineers, customers
• You ask questions and draw knowledge out of your team to find the right engineering, data science and design solutions
• Bonus points if you've worked in market research, consumer insight or analytics, with large-scale survey or behavioural datasets, or on usage-based pricing for AI or API products

Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our val