Data Product Owner
About The Position
Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it matters most. Our platform cleans, labels, and structures company data so it is ready for AI. It adapts models to each business and adds human expertise when needed, the same approach we have used to improve models for more than 80% of the world’s top AI companies, including Microsoft, AWS, and Cohere. Our successes span industries, from supply chain automation for Swiss Gear to AI-enabled naval simulations with SAIC, and validating NBA draft picks for the Charlotte Hornets. Profitable for more than half a decade, Invisible reached $134M in revenue and ranked as the number two fastest growing AI company on the 2024 Inc. 5000. In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology. We’re seeking top product talent to embed with strategic enterprise clients. You will sit shoulder-to-shoulder with business stakeholders, translate ambiguous ideas into AI-powered solutions, and shepherd projects from discovery through delivery. Over the next six months, your work will double discovery capacity, develop custom products leveraging AI, unlock new revenue streams for our clients and Invisible, and lay the groundwork for deeper, long-term partnerships.
Requirements
- 8–10 years in data product management or ownership within financial services; background in asset or wealth management strongly preferred
- Proven track record owning and delivering multiple data products simultaneously, including end-to-end data transformation programs
- Strong hands-on data analysis and querying skills across large enterprise platforms (Snowflake, Databricks, or equivalent)
- Working knowledge of data governance, data quality management, metadata management, and data lineage practices
- Excellent written, verbal, and visual communication skills, with the ability to translate complex data concepts for senior and executive audiences
- Highly organized and detail-oriented; able to manage competing priorities independently with minimal supervision
- Proficiency with product/project management tools such as Jira, Confluence, or equivalent
- Ability to work onsite at our NYC office 3+ days per week
Nice To Haves
- Direct domain expertise in asset or wealth management data — portfolio and position data, investor reporting, AUM & flows, trade and settlement data
- Experience leveraging AI tools — generative AI assistants, LLM-based workflows, or AI-powered analytics
- Experience evaluating and managing third-party data vendors
Responsibilities
- Lead concise, high-impact workshops that surface true business needs, define success metrics, and craft phased, right-sized scopes
- Build and own delivery timelines and OKRs, run stand-ups, clear blockers, coordinate directly with engineering teams to advance outcomes, and escalate early to keep work on track
- Act as the primary product point of contact for strategic enterprise clients, nurturing executive relationships and ensuring alignment
- Combine client context with Invisible’s AI toolkit to architect solutions using classical automation, GenAI, and human-in-the-loop approaches
- Document playbooks, mentor new analysts/PMs, and feed insights back into Invisible’s product and sales teams
Benefits
- Bonuses and equity are included in all full-time offers.
- Compensation reflects both market conditions and the value each team member brings.
- Salary structure accounts for regional differences in cost of living while maintaining internal equity.
- Additional details on total compensation and benefits will be discussed during the hiring process.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
