Note: The job is a remote job and is open to candidates in USA. Career Renew is recruiting for a client that provides identity and risk solutions to help institutions and individuals prevent synthetic fraud, identity theft, and other fraud. The Technical Product Manager will lead the vision, roadmap, and execution of internal data-intensive technology initiatives, including critical datasets, internal services, and supporting platforms, while partnering with engineering, data science, analytics, and product teams.
Responsibilities
- Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems
- Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services
- Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs
- Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements
- Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value
Skills
- 5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred
- Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake)
- Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling
- Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems
- Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies
- 5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory)
- Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory)
- At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory)
- Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory)
- Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory)
- Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory)
- Located and authorized to work in the United States. (Mandatory)
- Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have)
Benefits
- Equity
- Employer-paid health insurance for you and dependents
- Work from anywhere in the US
- Flexible PTO
- Regular company-wide in-person events
Company Overview