Technical Product Manager, Data and Internal Products

Location: Remote (United States)
Company Stage of Funding: Growth-Stage Fintech Company ($84M Raised)
Office Type: Remote (U.S.-Based)
Salary: $180000$230000 Equity

Were representing a leading identity verification and fraud prevention company helping financial institutions fintechs and enterprise organizations make faster safer identity decisions. Their platform processes hundreds of millions of identity verification requests through real-time APIs protecting customers from fraud while enabling seamless onboarding and authentication experiences.

Backed by Andreessen Horowitz Craft Ventures NYCA Partners and other top-tier investors the company has raised over $84 million and has been recognized on the Forbes Fintech 50 for multiple consecutive years. As the business continues to scale theyre investing in the internal data platforms and technical infrastructure that power both customer-facing products and the teams building them.

• Own the product strategy roadmap and execution for internal data platforms services and technical infrastructure.
• Drive product initiatives that improve the quality reliability and scalability of core datasets and shared internal systems.
• Partner closely with Engineering Data Science Analytics and Product teams to define requirements and deliver technical solutions.
• Prioritize competing technical initiatives while balancing immediate business needs with long-term platform investments.
• Lead cross-functional programs focused on data infrastructure machine learning platforms and internal tooling.
• Define success metrics and measure product performance across internal systems and data products.
• Improve data quality ingestion normalization modeling and platform usability for internal stakeholders.
• Translate highly technical concepts into clear product requirements and execution plans.
• Collaborate with engineering teams throughout the product lifecycle from discovery through implementation and launch.
• Help shape the long-term technical vision for the companys internal data ecosystem.

• 5 years of experience in Product Management Technical Product Management or equivalent cross-functional leadership roles.
• Previous experience as a Software Engineer Data Engineer Machine Learning Engineer Data Scientist or highly technical analytics professional before transitioning into Product.
• Strong experience managing data-intensive products internal platforms or infrastructure-focused initiatives.
• Deep understanding of data pipelines data ingestion normalization modeling and large-scale data systems.
• Experience working with modern big data technologies such as Spark Databricks Snowflake BigQuery or Redshift.
• Familiarity with Python AWS SQL and modern cloud-based data platforms.
• Strong analytical mindset with the ability to work closely alongside engineering and data science organizations.
• Proven ability to lead complex technical initiatives involving multiple cross-functional stakeholders.
• Excellent communication skills with the ability to explain technical concepts to both technical and business audiences.

• Experience within fintech fraud prevention identity verification payments financial infrastructure or cybersecurity.
• Startup experience particularly at Series B or Series C companies.
• Experience building internal developer platforms data infrastructure or machine learning platforms.
• Familiarity with AWS Go PostgreSQL OpenSearch or related backend technologies.
• Experience supporting ML-driven products analytics platforms or data science infrastructure.
• Founder or entrepreneurial experience with a strong ownership mentality.
• Demonstrated success balancing long-term platform investments with near-term product delivery.
• Strong systems thinking and passion for solving highly technical product challenges.

• Base salary: $180000$230000.
• Competitive equity package.
• Fully remote within the United States.
• Comprehensive medical dental and vision coverage for employees and dependents.
• Flexible PTO.
• Regular company-wide offsites and in-person collaboration opportunities.
• Opportunity to help shape the core technical infrastructure powering one of the leading identity verification platforms in the market.
• Work alongside world-class engineering data science and fraud intelligence teams solving large-scale technical challenges.
• Join a rapidly growing fintech recognized as a Forbes Fintech 50 company and backed by top-tier venture investors.

Required Experience:

IC