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.