Senior Product Manager (Data Platform)

TL;DR

Senior Product Manager (Data Platform): Lead strategy, development, and delivery of cloud-native data platform products with an accent on scalable data architectures, analytics enablement, and product lifecycle management. Focus on defining product vision, driving cross-functional teams, and implementing data governance and API strategies.

Location: Los Angeles, California, USA

Salary: $120,000 - $170,000 per year

Company

hirify.global is a company focused on IT and digital solutions.

What you will do

• 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.

Requirements

• Must have 10+ years as a Technical Product Manager with data-centric product initiatives.
• 8+ years managing full product lifecycle in enterprise or SaaS environments.
• 3+ years experience with event-driven data platforms, data lakes, lakehouse architectures, and data governance.
• 3+ years building cloud-native data platforms (AWS preferred) and working with streaming and batch processing technologies.
• Excellent verbal and written communication skills.
• Location: Must be based in or able to work onsite in Los Angeles, California, USA.

Nice to have

• Experience with enterprise-scale analytics products.
• Familiarity with modern data stack tools and frameworks.
• Ability to lead technical discussions and influence architectural decisions.

Culture & Benefits

• 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.