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Remote-first metro Product Lead with a popular title and broad cross-functional requirements increases competition.
Requires technical product and data/AI experience, transferable but prefers B2B field-service familiarity.
Technical product expertise, mandatory data-product experience and Scrum skills create moderate shortlisting filters.
Own and execute the data and AI strategy roadmap for AI-driven field service products, including defining data needs and setting requirements for engineering teams.
Manage the full lifecycle of data and AI initiatives from intent recognition through execution, including defining and owning data products like data warehouse and data lake.
Lead cross-functional collaboration with Platform, Data Platform, Product Engineering, Design, Security, and Legal teams to deliver scalable, compliant, and intuitive solutions, and translate strategy into engineering-ready epics and stories using Scrum.
Strong B2B experience required.
Proficiency in Scrum and Jira with hands-on experience writing epics and stories with clear acceptance criteria.
Technical fluency to challenge engineering teams on architecture, data models, and trade-offs.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and maintaining data products, including setting up data warehouses and data lakes.
Has worked with AI-driven products and analytics maturity, especially in capturing and analyzing data for LLM/agent interfaces.
Comfortable operating in globally distributed teams and familiar with Scrum of Scrums for cross-team coordination.