Product Manager, zDATA

About Zettabyte

• AI computing company: we turn GPU hardware into reliable, high-utilisation AI compute through software, orchestration and full lifecycle operations
• What we offer: enterprise GPU cloud and AI inference, software for data centre owners to run their own GPU clouds, turnkey and sovereign AI data centres, edge computing and GPU financing
• Who we work with: GPU owners, data centre operators, enterprises, OEMs, integrators and financiers across multiple markets
• How we work: fast-moving and high-accountability; we value speed, ambition, clarity, ownership and measurable outcomes

Role Summary

The Product Manager, zDATA owns the product direction of zDATA, Zettabyte's storage offering for AI workloads.

The role defines how customers store, move and protect the data and models behind their AI work, and turns that into a roadmap engineering can deliver.

The Product Manager works with the storage engineering team, zCLOUD and zPLATFORM product owners, sales and customers.

Reporting Line

Reports to: Co-CTO and CPO

Key Responsibilities

1. Product strategy: define the zDATA vision, target use cases and positioning alongside zCLOUD and zPLATFORM.
2. Roadmap: own and prioritise the zDATA roadmap across performance, capacity tiers, data protection and integrations.
3. Customer discovery: learn how customers manage datasets, checkpoints and model artefacts, and where storage slows them down.
4. Requirements: write clear requirements and acceptance criteria, and work closely with storage engineering through delivery.
5. Pricing and packaging: work with finance and sales on zDATA pricing, plans and service levels.
6. Launches: plan launches, documentation and enablement with marketing and solutions teams.
7. Metrics: track adoption, capacity growth, performance and customer satisfaction for zDATA.
8. Data governance: work with security and legal teams on data residency, retention and customer data requirements.

Required Qualifications

• 5+ years of product management for infrastructure, storage or data products
• Strong technical understanding of file, block and object storage
• Experience shipping products to enterprise or developer customers
• Excellent writing for requirements and strategy documents
• Data-driven prioritisation and clear decision-making
• Comfort working closely with engineering and sales

Bonus Qualifications

• Experience with storage for AI training or HPC
• Background at a cloud provider or storage vendor
• Engineering experience before product management
• Familiarity with data governance and residency rules

What Success Looks Like (First 90 to 180 Days)

• A zDATA product strategy and roadmap are agreed with leadership
• Pricing and packaging for zDATA are defined with finance and sales
• Customer discovery findings are documented and shared
• Adoption metrics are defined and reported every month

Why This Role Matters

• Complete platform: AI customers need storage as well as compute, and zDATA completes the offer.
• Customer retention: data that lives well on Zettabyte keeps workloads on Zettabyte.

Working Norms at Zettabyte

• Bias to action: deliver drafts quickly, then iterate on feedback
• Be precise: double-check numbers and facts; sloppy analysis creates downstream cost
• Make it usable: package outputs for decision-making, not data dumps
• Own the process: whoever drives a deliverable manages stakeholders and timelines
• Learn the ecosystem: understand GPUs, cluster operations and the buyer landscape

Details

• Workplace: Hybrid, 3 days in office and 2 days remote, Palo Alto
• Employment type: Full-time
• Compensation: USD 180,000 to 230,000 a year base salary, plus equity
• Benefits: Medical, dental and vision insurance; 401(k) retirement plan; paid time off and US public holidays; equity
• Work authorisation: Required in the United States
• Equal opportunity: Zettabyte is an equal opportunity employer; qualified applicants with arrest or conviction records will be considered in line with the California Fair Chance Act