About the Role

We are seeking a highly experienced Senior Technical Product Manager to lead the strategy, development, and delivery of our cloud-native data platform products. This role is ideal for a visionary leader with deep technical fluency across modern data architectures, analytics enablement, and product lifecycle management.

Key Responsibilities

• Define and drive product vision, strategy, and roadmap for scalable data platform solutions.

• Lead cross-functional teams through the full product lifecycle—from ideation and design to launch and optimization.

• Translate operational workflows into data requirements and analytics use cases.

• Balance technical and business priorities to deliver high-impact features and measurable ROI.

• Enable self-service analytics through curated datasets, semantic layers, and extensible APIs.

• Establish and maintain data governance policies, documented data contracts, and API documentation strategies.

Required Qualifications

• ✅ 10+ years as a Technical Product Manager, leading data-centric product initiatives.

• ✅ 8+ years managing full product lifecycle in enterprise or SaaS environments.

• ✅ 3+ years with event-driven data platforms and data ingestion from diverse operating systems.

• ✅ 3+ years working with Data Lakes, Lakehouse architectures (e.g., Apache Iceberg), and Medallion Architecture.

• ✅ 3+ years defining and implementing data governance policies and semantic layers.

• ✅ 3+ years with API integrations, documented data contracts, and API documentation strategies.

• ✅ 3+ years creating curated data layers and enabling self-service analytics.

• ✅ 3+ years tracking ROI and defining OKRs to measure product success.

• ✅ 3+ years applying data engineering concepts as a product manager (prior hands-on experience preferred).

• ✅ 3+ years building cloud-native data platforms (AWS preferred).

• ✅ 3+ years with streaming technologies (Kafka, Kinesis) and batch processing (Spark, Glue).

• ✅ Proven experience packaging and delivering productized datasets for customer reuse.

• ✅ Strong experience with data modeling, pipeline performance optimization, and using data to solve software engineering problems.

• ✅ Excellent verbal and written communication skills.

Preferred Skills

• Experience with enterprise-scale analytics products.

• Familiarity with modern data stack tools and frameworks.

• Ability to lead technical discussions and influence architectural decisions.

Why Join Us?

• Shape the future of data infrastructure in a high-growth environment.

• Collaborate with top-tier engineering and analytics teams.

• Drive innovation in data accessibility, governance, and performance.

• Enjoy flexibility, autonomy, and a mission-driven culture.

Equal Opportunity Employer/Veterans/Disabled

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The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act
• Los Angeles City Fair Chance Ordinance
• Los Angeles County Fair Chance Ordinance for Employers
• San Francisco Fair Chance Ordinance

Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.