Invisible Technologies
Invisible Technologies is seeking a Data Product Owner to serve as the bridge between business stakeholders and technical data engineering teams for a strategic financial services client. This role involves owning the strategy, roadmap, and delivery of critical data products while ensuring data quality, governance, and alignment with business needs. The position requires hands-on data analysis, stakeholder engagement, and executive communication to drive successful product outcomes.
Headquarters
New York, New York, United States
Company Size
1001-5000 employees
Founded
2015
Invisible AI (Invisible Technologies) is an enterprise AI services firm that helps organizations "make AI work" by turning models into reliable, production-ready systems. They combine human-in-the-loop expertise, data engineering, and MLOps to train, evaluate, and operationalize models—claiming to have helped train over 80% of the world’s top AI models. Invisible supports the full model lifecycle (data collection and labeling, fine-tuning, testing, and deployment) so companies can integrate AI safely and at scale. The company recently announced a $100 million fundraise to expand its offerings.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Invisible Technologies.
20% above the average for this role
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