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Globalwebindex

Senior Product Manager (Data Products)

London Posted today

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Skills this job asks for

RecruitmentEnglishMachine learningProduct managementB2B salesLLMs

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Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Can’t check pay against the visa rules
No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.

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Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

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About the role

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? 🤔 As our Senior Product Manager you’ll own a new suite of AI and ML-powered data products at the forefront of innovation in the market research industry. This is a chance to shape how businesses around the world access and act on consumer insight, and to define what AI-native market research looks like rather than follow someone else’s lead. You’ll set the vision and strategy for the suite, turn it into a roadmap, and lead the squad that builds it. You’ll work closely with Data Science, ML and Engineering, as well as Design, Sales, Client Success, Marketing and Finance, with plenty of direct contact with clients and prospects. A few things you’ll be responsible for: 👉 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 It’s also fun. Shaking things up is what working for GWI is all about. In a fast-moving AI landscape, you’ll need to be flexible, comfortable with continuous change, and happy working in a high-tempo environment. What do I need to bring with me? 🧳 You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for in you: 👉 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, custom

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