Hybrid Product Manager, Data Foundations

Posted 2 weeks ago

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About the role

  • Set the strategy and product roadmap for short and long term horizons, influencing C-level leaders on investment allocation
  • Influence engineering leaders and architects on functional and non-functional requirements for data systems including Data Movement, Processing, Storing and Serving, Agentic & RAG architectures, Analytics, and Data Governance
  • Develop golden path workflows and fit-for-purpose abstractions for internal developers, non-technical internal users, and external users
  • Partner with Product leaders to enable new data capabilities across Payments, Connect, Risk, Revenue and Financial Automation
  • Identify relevant trends in data innovations and open source advancements (e.g., Airflow, Spark, Flink, Iceberg, Trino, Pinot, Jupyter, DBT)
  • Serve as a founding member of the Product Management discipline and culture for the Data Foundations organization; set technical direction and deliver reliable experiences for customers

Requirements

  • Passion for and experience shipping technical data products and developer tooling
  • Strong understanding of modern data platform technologies including high throughput event management, lambda vs kappa architectures, online datastores, data lakes and warehouses, semantic layers, query gateways, data lineage, validation tools
  • 8+ years of Product Management experience
  • Computer Science background or equivalent technical experience
  • Strong written and verbal communication skills with the ability to convey complex technical concepts to non-technical stakeholders
  • A people-first leader with high emotional intelligence and ability to gain trust with senior engineering and technology leaders
  • Strong storytelling and executive presence skills
  • Strong product sense, team collaborator, independent, and risk-taking based on data-driven decisions
  • Experienced product manager discipline in growth technology companies (preferred)
  • Experienced partnering closely with c-suite technology executives (preferred)
  • Product skills spanning technical, user experience, business and go-to-market domains (preferred)
  • Intimate knowledge of data infrastructure technologies (e.g., Iceberg, Airflow, Flyte, Flink, DuckDB) (preferred)
  • Former software engineer or data engineer (preferred)

Job title

Product Manager, Data Foundations

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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