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GWI

Senior Product Manager (Data Products)

  • Hybrid
  • 6+ years
  • English (B2)

Salary

Not stated

Similar roles pay £75K - 115K a year · our estimate

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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?

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, 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 values, and they’re a big part of what we’re looking for in you.

Benefits

  • You’ll work on a new AI-powered product suite at the leading edge of the market research industry
  • You’ll build on GWI’s large-scale consumer datasets, a strong foundation for AI products that competitors can’t easily replicate
  • You’ll have room to shape the strategy and run your own squad your way
  • At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:
  • Time to recharge – 25 days’ annual leave, plus office closures over the holidays.
  • Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support.
  • Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success.
  • Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget.
  • Career growth – Accredited learning, leadership development, and global career mobility.
  • Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.
  • Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.

Where you’d work

Hybrid, 1 to 2 days a week in the office

You can work from

  • United Kingdom

About the company

GWI

Office in London, United Kingdom

Also hiring in Athens, Greece

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Details14 facts · Role, Location, Compensation, Employment, Requirements
Tech stack
  • LLMs
Seniority
Senior
Type
Full-time
Specialty
Product Manager
Region
United Kingdom
Pay period
Annual
Show 8 more factsShow less

Role

Category
Product & Project
Specialty
Product Manager
Seniority
Senior
Experience
6+ years
Tech stack
  • LLMs

Location

Work model
Hybrid
Region
United Kingdom
Office
  • London, United Kingdom
Remote from
  • United Kingdom
Days in the office
1 to 2 days

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Requirements

Languages
  • English (B2)

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