About The Position

We're looking for a highly technical Senior Product Manager to lead our internal data platform and tooling initiatives. This is an individual contributor role partnering closely with engineering and data science to build the systems that power the business behind the scenes. Unlike customer-facing product roles, you'll own internal data products and infrastructure, working directly with technical teams to improve data pipelines, internal tooling, and platform capabilities. This role is ideal for someone with an engineering background who transitioned into Product Management and enjoys solving deeply technical problems.

Requirements

  • Product Management experience in a highly technical environment, with demonstrated ownership of complex products.
  • Previous hands-on engineering experience is required, including roles such as: Software Engineer, Data Engineer, Machine Learning Engineer, Data Scientist, Highly Technical Data Analyst
  • Experience at a startup, with the current or most recent role at a high-growth startup (Series B/C preferred).
  • Experience owning products involving: Internal tooling, Data platforms, Large-scale data pipelines
  • Strong understanding of production data ingestion, transformation, normalization, and modeling.
  • Authorized to work in the United States.
  • Programming & Cloud: Python, AWS, Golang
  • Data Platforms: PostgreSQL, OpenSearch, Amazon Redshift, Spark, Databricks, Snowflake, BigQuery
  • Data Engineering: Production data pipelines, Data ingestion, Data transformation, Data modeling, Internal platform development
  • Experience with complex, API-driven products or data-intensive platforms is highly desirable.

Nice To Haves

  • Experience in FinTech, payments, fraud prevention, identity verification, cybersecurity, or other highly technical domains.
  • Founder or entrepreneurial experience.
  • Strong startup mindset with a high level of ownership.
  • Experience working directly alongside engineering and data science teams.
  • Ability to communicate technical concepts effectively with executive leadership.

Responsibilities

  • Own the roadmap for internal data platform products and technical infrastructure.
  • Partner daily with engineering and data science teams to define priorities and deliver high-impact solutions.
  • Lead products through the full product lifecycle—from discovery and planning through launch and continuous iteration.
  • Define technical requirements and write detailed product specifications for internal platforms and data systems.
  • Drive initiatives involving data ingestion, normalization, transformation, modeling, and large-scale data pipelines.
  • Collaborate with engineering to improve internal tooling, automation, and platform scalability.
  • Prioritize work based on technical complexity, business impact, and engineering trade-offs.
  • Translate complex technical concepts into clear product strategy and execution plans.
  • Work directly with executive leadership in a highly collaborative, startup environment.
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