Senior Product Manager; Data Products

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.

• 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

• 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