Senior Product Manager : Full-time

HARAMAIN SYSTEMS INC.

• $120K — $150K *
Austin, TX 78745In-Person
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5+ years in product management or technical product roles
  • Previous experience in an engineering capacity (e.g., SWE, DS, ML Eng)
  • Startup experience at Series B/C level
  • Strong technical skills in Python, AWS, and data pipelines
  • Familiarity with big data tools like Spark, Databricks, BigQuery, Snowflake, and Redshift
  • Proven track record of internal tooling and big data product work
  • Located in the US and authorized to work.

Responsibilities

  • Collaborate with engineering and data science teams to optimize internal tooling
  • Define product vision and strategy for big data products
  • Develop detailed product requirements based on internal user needs
  • Lead cross-functional teams to deliver data-driven solutions
  • Monitor product performance and gather feedback for continuous improvement
  • Ensure alignment between product objectives and company goals

Benefits

  • Flexible remote work environment
  • Unique opportunity to influence product direction in a startup setting
  • Access to cutting-edge big data tools and technologies
  • Strong support from experienced leadership
  • Engagement with a cross-disciplinary team fostering innovation
Full Job Description
Job Description

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 (
* Ladders Estimates

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