Senior Product Manager (Data Systems)

TL;DR

Senior Product Manager (Data Systems): Owning and driving major problem areas within hirify.global’s query compiler, optimizer, and execution engine with an accent on database theory, performance, efficiency, and scalability. Focus on making principled decisions across performance, cost, complexity, and operability in a large-scale distributed system and translating deep engine capabilities into compelling customer value.

Location: Onsite in Menlo Park, CA, United States

Salary: $200,000–$287,500

Company

hirify.global provides a cloud-built data platform, known as the Data Cloud, empowering thousands of organizations to unlock the value of their data with near-unlimited scale, concurrency, and performance.

What you will do

• Own and drive key product areas within core query planning, optimization, and execution, from problem definition through launch and iteration.
• Partner with senior product and engineering leaders to shape roadmap priorities, cross-functional initiatives, sequencing, and trade-offs for the broader query engine.
• Work hand-in-hand with engineering to make principled decisions across performance, cost, complexity, and operability in a large-scale distributed system.
• Translate deep engine capabilities into clear, compelling customer value, especially around workload performance, predictability, and ease of optimization.
• Engage directly with customers, the field, and internal stakeholders to understand real-world workload patterns and performance pain points.
• Contribute to hirify.global’s application of GenAI techniques for areas such as performance analysis, query understanding, and automated optimization.

Requirements

• 3-5 years of product management experience, or equivalent experience as a senior engineer working on databases, compilers, or distributed systems.
• Solid understanding of database internals, including query planning, optimization techniques, execution models, and performance trade-offs.
• Experience working on large-scale data platforms, cloud infrastructure, or developer-facing systems.
• A product mindset grounded in customer outcomes, with the technical depth to engage credibly with senior engineers.
• A strong sense of ownership and urgency; comfortable operating autonomously within a larger strategy.
• A bachelor’s degree in Computer Science, Engineering, or a related field is required.

Nice to have

• Hands-on experience with query optimizers, execution engines, compilers, or runtimes.
• Familiarity with workload management, cost-based optimization, or adaptive execution techniques.
• Experience with cloud data platforms across AWS, Azure, or GCP.
• Background as a heavy SQL user, data engineer, or database architect.

Culture & Benefits

• A culture that’s all in on impact, innovation, and collaboration.
• Opportunity for building big, moving fast, and taking technology and careers to the next level.
• Focus on empowering enterprises and people to achieve their full potential.
• Every employee is expected to follow the company’s confidentiality and security standards for sensitive data.
• Join a fast-growing team that challenges ordinary thinking and pushes the pace of innovation.