Worth AI is looking for a Product Manager, specialized in Data, to drive the strategy, development, and execution of data-driven features and infrastructure that power their analytics, machine learning, and platform capabilities, revolutionizing decision-making with AI.
Requirements
- Proven experience as a Product Manager + ML with 3+ years in data-centric or analytics-focused products
- Strong understanding of data platforms, ETL/ELT pipelines, and data warehousing concepts
- Familiarity with data tools such as Snowflake, BigQuery, dbt, Airflow, or similar technologies
- Experience working cross-functionally with data engineers, analysts, and scientists
- Track record of successfully shipping data products or platforms to internal or external users
- Comfort with SQL, data exploration, and metrics analysis to inform product decisions
- Experience aligning with senior leadership and translating business needs into data product strategies
Responsibilities
- Partner with ML engineers to operationalize models and ensure seamless integration into customer-facing products
- Partner with data engineering and data science teams to deliver models, infrastructure, and analytical tools
- Work with design to develop mockups, user flows, and interactive prototypes for data-related features
- Own the product backlog and ensure user stories are technically groomed and ready for development
- Define, track, and refine key metrics and KPIs that measure product success and data platform performance
- Work closely with QA to ensure robust data validation, integrity, and UAT across releases
- Ensure data products are well documented, including schema definitions, data dictionaries, and release notes
Other
- Engage with internal and external users to uncover data-related needs, pain points, and opportunities
- Translate user and business requirements into clear, actionable product use cases and specifications
- Drive prioritization discussions based on customer value, data impact, and strategic fit
- Provide real-time decision-making support to developers during sprints and releases
- Advocate for data quality, governance, and scalability as core elements of product development
