About the role
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