Senior Product Manager : Full-time

Full-time
USA
Senior Level
Posted 4 hours ago
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Role: Senior Product Manager (IC, reports to Principal PM) Focus: Internal tooling & big data products; cross‑functional with engineering & data science

Role: Senior Product Manager

Location : Remote

Job type : | Full-time

Must‑haves:

  • 5+ years PM or founder/technical product role
  • Prior engineering title (SWE, DS, ML Eng, or technical analyst)
  • Startup experience (Series B/C, not big tech)
  • Strong technical background: Python, AWS, data pipelines
  • Big data tools explicitly listed (Spark, Databricks, BigQuery, Snowflake, Redshift)
  • Resume shows internal tooling + big data product work with named projects
  • US‑based, authorized to work

Nice‑to‑haves:

  • Fintech/payments/fraud/identity domain
  • Founder/entrepreneurial mindset

Avoid:

  • Purely customer‑facing PMs uninterested in internal work
  • Big tech/large enterprise/bank‑only backgrounds
  • Traditional PM path without engineering roots
  • Buzzword‑heavy AI/ML profiles without real data platform experience
  • Short tenure (<2 years per role)
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About the Job
Full-time
USA
Senior Level
Posted 4 hours ago
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Senior Product Manager : Full-time

Role: Senior Product Manager (IC, reports to Principal PM) Focus: Internal tooling & big data products; cross‑functional with engineering & data science

Role: Senior Product Manager

Location : Remote

Job type : | Full-time

Must‑haves:

  • 5+ years PM or founder/technical product role
  • Prior engineering title (SWE, DS, ML Eng, or technical analyst)
  • Startup experience (Series B/C, not big tech)
  • Strong technical background: Python, AWS, data pipelines
  • Big data tools explicitly listed (Spark, Databricks, BigQuery, Snowflake, Redshift)
  • Resume shows internal tooling + big data product work with named projects
  • US‑based, authorized to work

Nice‑to‑haves:

  • Fintech/payments/fraud/identity domain
  • Founder/entrepreneurial mindset

Avoid:

  • Purely customer‑facing PMs uninterested in internal work
  • Big tech/large enterprise/bank‑only backgrounds
  • Traditional PM path without engineering roots
  • Buzzword‑heavy AI/ML profiles without real data platform experience
  • Short tenure (<2 years per role)