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Salary
$35k – $83k per year (Estimated)
Location
Remote/Hybrid (Bengaluru, India)
Seniority
Staff
Employment
Full-Time
Overview
Company
Impact
Profile match
Zinier is a SaaS company focused on helping organisations run and improve field operations. Its platform is designed to support the end to end work that happens outside the office, such as assigning jobs, guiding technicians through tasks, capturing the right data on site, and keeping customers and internal teams informed. The underlying problem it tackles is the complexity and inconsistency of field service delivery, where work is often spread across people, locations, devices, and legacy systems, and where delays or errors can quickly affect customer experience and operational cost.

Who we are

80% of the workers across the globe are Deskless. These are the people who keep our lights on and gas flowing, build roads and bridges, run our manufacturing factories, ensure that we get healthcare service, and provide us with reliable phone and internet connectivity.

Zinier is a company on a mission to empower frontline workers - and the people supporting them - to achieve greater things for themselves and the world around them. With the majority of workers worldwide being deskless, Zinier recognizes the need for Technology Equity to improve the lives and productivity of these workers who keep the world up and running.

We are a remote-first, global team headquartered in Silicon Valley, with a hybrid workforce across the United States, Canada, Europe, Latin America, Singapore, and Bangalore, India, backed by leading investors including Accel, ICONIQ Capital, Founders Fund, Newfund Capital, NGP Capital, Tiger Global Management, and Qualcomm Ventures LLC.

What we are looking for

Zinier is searching for a deeply technical, execution-obsessed Product Lead to shape our data and AI strategy. You'll own the roadmap for how Zinier captures, structures, and activates data to power agentic, AI-driven field service products - and you'll be equally comfortable writing epics and stories with engineering as you are challenging architecture decisions on data pipelines and LLM interfaces.

This is a hands-on, technical PM role. You'll define what data is needed and translate it into clear requirements for the teams building our solutions, own the lifecycle of data and AI initiatives from intent recognition through execution, and partner across Platform, Data Platform, Product Engineering, Design, Security, and Legal to build a scalable, compliant, and highly intuitive solutions.

What the role offers

  • Shape the data & AI strategy: Define and execute the roadmap - plan, execute, self-correct, and learn.
  • Treat data as the fuel: Define what data is needed and translate that into clear requirements for the teams building the solutions.
  • Own projects end to end: Define, execute, measure, and iterate - owning the full lifecycle from initial intent recognition and planning frameworks through execution and coordination.
  • Lead cross-functionally: Partner with cross functional teams like Platform , Data Platform, Product Engineering, Product Designers, Security, and Legal to build a scalable, compliant, and highly intuitive solutions.
  • Write epics and stories: Translate strategy into engineering-ready epics and stories, working in Scrum with clear acceptance criteria.
  • Define and own data products: Set up and define data products, including data warehouse and data lake requirements.
  • Drive analytics maturity: Define how usage and outcomes are captured and analyzed, including analytics for LLM/agent interfaces.

What you'll bring to the role

Must-have:

  • Strong B2B experience.
  • Proficiency in Scrum and Jira, with hands-on experience writing epics and stories.
  • Proficient in English.
  • Technical fluency - able to credibly challenge engineering teams on architecture, data models, and trade-offs.
  • You have built or maintained data products.

Strongly preferred:

  • Experience building AI-driven products.
  • Understanding of analytics: how it's captured, and how to capture and analyze it, including LLM interfaces.
  • Direct experience working with AI and Claude specifically, including having built agents.
  • Experience setting up and defining data products (data warehouse, data lake).
  • Scrum of Scrums experience.
  • Experience working as part of a globally distributed team of Product Leads.

Be Hungry. Be Humble. Be Honest. And Hustle.

Shape the data. Power the agents. Own the strategy.

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