Offer summary

Qualifications:

Proven experience as a Product Manager with a focus on data-centric or analytics products for at least 3 years., Strong understanding of data platforms, ETL/ELT pipelines, and data warehousing concepts., Familiarity with data tools such as Snowflake, BigQuery, and Airflow., Excellent communication skills with the ability to translate complex topics for diverse audiences..

Key responsibilities:

Engage with users to identify data-related needs and opportunities.

Partner with ML engineers to integrate models into customer-facing products.

Define metrics to measure model performance and business impact.

Own the product backlog and ensure user stories are ready for development.

Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Product Manager, specialized in Data to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.

We are seeking a Product Manager (Data + ML) who is deeply passionate about data products and the transformational value of data in modern digital ecosystems. This role will focus on driving the strategy, development, and execution of data-driven features and infrastructure that power our analytics, machine learning, and platform capabilities.

The ideal candidate is both user- and data-obsessed and is comfortable navigating complex datasets, collaborating with technical teams, and defining solutions that are scalable, privacy-conscious, and deeply aligned with business goals. You will partner closely with stakeholders across engineering, data science, design, and business units to deliver innovative and impactful data products.

Responsibilities

Engage with internal and external users to uncover data-related needs, pain points, and opportunities
Identify and prioritize data product opportunities, including data pipelines, APIs, dashboards, and reporting tools
Partner with ML engineers to operationalize models and ensure seamless integration into customer-facing products
Define metrics to measure model performance and business impact
Translate user and business requirements into clear, actionable product use cases and specifications
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
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
Collaborate with operations and support teams to triage and resolve data issues
Contribute to the evolution of product management processes, especially around data-centric development

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
Excellent written and verbal communication skills; able to distill complex topics for varied audiences
Creative and strategic thinking with the ability to solve ambiguous problems
Highly coachable, collaborative, and excited to challenge the status quo

Benefits