VP, Product Management (Data, AI & Cloud)

TL;DR

VP, Product Management (Data, AI & Cloud): Defining the vision, strategy, and execution for hirify.global’s compute, data, and database engine capabilities, ensuring leadership in enterprise-grade data platforms and elastic compute. Focus on competitive differentiation in analytics and AI, accelerating cloud adoption, and powering mission-critical workloads on a global scale.

Location: Remote within the USA (California)

Salary: $182,700.00 - $274,000.00 Annually

Company

hirify.global provides a complete cloud analytics and data platform for AI, empowering companies to make better, more confident decisions.

What you will do

• Set vision and strategy for hirify.global’s compute, data, and database engine portfolio.
• Own the product roadmap for capabilities across compute, data, performance, elasticity, and multi-cloud deployment.
• Partner with engineering leadership to define priorities and ensure predictable, high-quality delivery.
• Engage deeply with customers on performance, scalability, and workload tuning needs to inform the roadmap.
• Track and out-innovate the competition in the database and analytics landscape.
• Drive business outcomes by managing investments, prioritizing high-impact initiatives, and measuring success with clear KPIs.

Requirements

• 10+ years of product management experience in enterprise software, with substantial focus on compute engines, data platforms and databases.
• Proven ability to drive both strategy and execution in compute/data/database systems, distributed workload processing, and cloud-native architectures.
• Hands-on knowledge of compute engines, data formats, workload management & optimization, distributed processing, and security at scale.
• Experience with cloud service models (IaaS, PaaS, SaaS) and multi-cloud deployment across AWS, Azure, and GCP.
• Demonstrated success leading global product efforts and delivering complex enterprise software in partnership with engineering.
• Strong financial, strategic, and operational acumen, including experience managing roadmaps, budgets, and investment trade-offs.

Nice to have

• Deep technical familiarity with compute engines, data platforms, query optimization, database engines, and elastic scaling models.
• Experience with vectorized query processing, GPU-accelerated workloads, and AI/ML integrations with database platforms.
• Strong understanding of the competitive ecosystem (e.g., Databricks, Snowflake, BigQuery, Redshift, SQL Server, Oracle).
• Experience building data-intensive products that support both OLTP and OLAP workloads or converged/HTAP-style architectures.

Culture & Benefits

• People-first culture with a flexible work model.
• Focus on employee well-being and an inclusive environment.
• Comprehensive benefits programs including healthcare, life and disability insurance plans.
• 401(k) retirement savings plan and time-off programs.
• Annual incentive plans based on company financial attainment and individual performance.