G

Global Web Index

Real-time consumer insights via online surveys

Senior Product Manager - Data Products

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeAthens, GreeceNo salary listed

About the Job

Requirements

  • You have shipped AI, machine learning, data, or analytics products at a business-to-business company; software-as-a-service experience is preferred.
  • You understand how artificial intelligence and machine learning products are built, such as large language models, retrieval, agents, and predictive models.
  • You are comfortable working with data and can collaborate with engineers on data quality, modelling, and delivery, including application programming interfaces, dashboards, and integrations.
  • You have built complex roadmaps with cross-functional dependencies and can balance multiple priorities.
  • You can make informed decisions at pace with incomplete information and take ownership of a major initiative.
  • You can solve problems, negotiate, influence, and build alignment without formal authority.
  • You can explain complex topics clearly to executives, engineers, and customers.
  • You can ask questions and draw knowledge from teams to identify appropriate engineering, data science, and design solutions.
  • You are flexible, comfortable with continuous change, and able to work in a high-tempo environment.

Responsibilities

  • Define the vision, strategy, and positioning of the new artificial intelligence and data product suite and its fit within GWI’s wider platform.
  • Identify where artificial intelligence and machine learning create value for clients, distinguishing useful applications from novelty.
  • Work with Data Science and Machine Learning Engineering on product models, data, pipelines, and methodology to ensure accuracy, reliability, scalability, and trust.
  • Define artificial intelligence quality measurement, including evaluation frameworks, accuracy and reliability benchmarks, feedback loops, and release quality thresholds.
  • Shape the responsible artificial intelligence approach, including transparency, data governance, privacy, and explainability.
  • Build the product roadmap using client feedback, market and competitor insight, internal stakeholder input, and usage analytics, and prioritize valuable work.
  • Take products from discovery and prototyping through launch and adoption, including shaping the commercial model, pricing, and packaging with Finance and Revenue teams, including usage-based and consumption models.
  • Communicate progress, trade-offs, and results to the Executive team and wider business.
  • Lead the squad building the product suite.

Desired Qualifications

  • Experience in market research, consumer insight, or analytics, including large-scale survey or behavioral datasets, is a bonus.
  • Experience with usage-based pricing for artificial intelligence or application programming interface products is a bonus.

About the Company

Global Web Index

Real-time consumer insights via online surveys

GWI provides a global consumer research platform that gives businesses real-time insights into what people are thinking and doing. It runs the world’s largest online consumer survey, interviewing over a million people each year, and offers 24/7 access to data through a user-friendly interface. Clients can explore audience interests, behaviors, and values, with sector-specific and emerging-trends insights to understand their market better. Revenue comes from subscription fees for access to the platform and its research tools. Compared with competitors, GWI combines continuous, large-scale online surveying with sector-focused and trend analyses in an easy-to-use platform, helping clients act quickly on current data. Its goal is to help businesses understand their audience deeply and stay ahead of market changes by providing timely, actionable insights that support go-to-market strategies and other business decisions.

Company size
501-1,000
Company stage
Series B
Total funding
$220M
Headquarters
London, United Kingdom
Founded
2009

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