Company
Data Team
SeniorTechnicalProductManager(DataProductsquad)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Technical Product Manager (Data Product squad). Skills: Data Product Management, ML/AI Integration, Dataset Design. Own the Data Product roadmap. Design and ship multi-source datasets”
Industry & Context.
Solving challenges; Tradeoff decisions; Customer problem solving
What They're Looking For.
Must Have
5 years of proven experience as a Product Manager, Technical fluency, Experience designing or shaping datasets, Experience working with cross-functional teams, Comfortable operating in ambiguity, Written and verbal communication in English, Experience working in an agile environment
Nice to Have
Experience with B2B data, Experience with SaaS, Experience with API products, Hands-on familiarity with data movement, Experience on data quality commitment product, Experience splitting or scaling product squads, Familiarity with LLMs, Familiarity with embeddings, Familiarity with semantic search
What You'll Do.
Own the Data Product roadmap
Design and ship multi-source datasets
Lead the productisation of ML and AI capabilities
Make tradeoff calls on ML-powered fields
Define data quality standards
Drive customer discovery
Work with stakeholders outside Product
How You'll Work.
Team & Collaboration
Cross-functional teams; Sales; Customer Success; Marketing
Communication Scope
Written communication; Verbal communication
Process & Methodology
Roadmap, Backlog, Sprint planning, User stories, Agile environment
Full Job Description
## Description We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies. What’s in store for you: You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership. ## Responsibilities Own the Data Product roadmap end-to-end; decide which datasets exist and how they evolve to stay ahead of what customers can build themselves. Design and ship multi-source datasets by combining sources in ways customers can't easily replicate - figuring out what new value emerges when you fuse the right inputs. Lead the productisation of ML and AI capabilities into the data itself. Make the hard tradeoff calls on ML-powered fields - coverage vs. precision, latency vs. cost, when a model is good enough to ship and when it needs another iteration. Define what "good" data quality means from the customer's perspective - accuracy, completeness, freshness as commitments we make to customers - and own the business-level rules that determine whether the data is correct. Drive customer discovery: spend time with existing and prospective customers, understand what data problems they're trying to solve, where current datasets fall short, and what would unlock new revenue if it existed. Work with stakeholders outside Product - sales, customer Success, marketing - to keep the roadmap connected to commercial reality. Own backlog, sprint planning, and user stories - but as the natural output of strategy, not the job itself. ## Main requirements At least 5 years of proven experience as a Product Manager, Technical Product Manager, or Senior Product Owner, ideally on a data, API, or platform product. Strong product thinking: discovery, customer research, pri
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