Senior Product Manager – Data Platform & Internal Tools
$180,000–$230,000 year
RemoteUnited States
Job Summary
Own the product strategy and roadmap for internal data platform and tooling initiatives. Define product requirements for large-scale data infrastructure, ingestion pipelines, and developer platforms, then partner with Engineering and Data Science teams from discovery through launch. Drive initiatives involving data collection, normalization, modeling, and storage while using data to evaluate success and improve capabilities. Manage priorities across technical stakeholders, balancing business and engineering needs through strong technical communication. Requires 5+ years of product leadership with prior hands-on engineering experience; candidates must be authorized to work in the U.S. with expertise in Python, AWS, and big data technologies like Spark, Databricks, and Snowflake.
Required Qualifications
- 5+ years of experience as a Product Manager or equivalent cross-functional product leadership role
- Prior hands-on engineering experience is required (Software Engineer, Data Engineer, Machine Learning Engineer, Data Scientist, or highly technical Data Analyst)
- Proven experience owning highly technical products focused on data platforms, internal tooling, or infrastructure
- Experience building products involving large-scale data pipelines, ingestion, transformation, normalization, and data modeling
- Strong understanding of modern cloud infrastructure and data ecosystems
- Hands-on familiarity with Python and AWS
- Experience working with one or more big data technologies such as: Spark, Databricks, BigQuery, Snowflake, Amazon Redshift
- Experience working with SQL and relational databases
- Ability to collaborate effectively with Engineering and Data Science teams
- Excellent written and verbal communication skills with strong executive presence
Desired Qualifications
- Experience at a Series B or Series C startup
- Startup product ownership with end-to-end responsibility
- Experience in FinTech, Payments, Fraud, Identity, Cybersecurity, AI Infrastructure, or other highly technical domains
- Experience managing products supporting machine learning, analytics infrastructure, or internal engineering platforms
- Founder or entrepreneurial experience is a strong plus
- Experience with Golang, PostgreSQL, OpenSearch, or related backend technologies
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