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Salary: USD 164,000 - 212,000 / annual
Invisible Technologies is an AI platform company that structures messy data, automates digital workflows, deploys agentic solutions, and integrates human expertise. The company is profitable, reached $134M in revenue, and ranked #2 fastest-growing AI company on the 2024 Inc. 5000 list. In September 2025, Invisible raised $100M in growth capital.
You will embed with strategic enterprise clients as a Data Product Owner, working shoulder-to-shoulder with business stakeholders to translate ambiguous ideas into AI-powered solutions. Over six months, your work will double discovery capacity, develop custom AI products, unlock new revenue streams for clients and Invisible, and establish groundwork for long-term partnerships.
Key responsibilities:
- Lead discovery workshops to surface business needs, define success metrics, and craft phased scopes
- Own delivery timelines and OKRs, run stand-ups, clear blockers, and coordinate with engineering teams
- Serve as primary product contact for strategic enterprise clients, nurturing executive relationships
- Design AI-enabled solutions combining classical automation, GenAI, and human-in-the-loop approaches
- Document playbooks, mentor analysts/PMs, and feed insights back to product and sales teams
You will work onsite at the NYC office 3+ days per week in a hybrid arrangement.
REQUIREMENTS:
- 8–10 years in data product management or ownership within financial services; asset or wealth management background 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; 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 NYC office 3+ days per week
NICE-TO-HAVE:
- Direct domain expertise in asset or wealth management data (portfolio/position data, investor reporting, AUM & flows, trade and settlement data)
- Experience leveraging AI tools (generative AI assistants, LLM-based workflows, AI-powered analytics)
- Experience evaluating and managing third-party data vendors
