Product Lead
Zinier (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.