Outbound Product Manager

Zettabytes Inc

  • NY
  • 30+ days ago
  • $185,000–$235,000 Per Year

Highlights

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. A strong understanding of GPU cloud evaluation frameworks, NVIDIA Cloud validation programmes or similar benchmarking used by analysts and hardware partners.

Numbers & Facts

LocationNY
Salary$185,000–$235,000 Per Year

Description

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 Outbound Product Manager combines deep technical understanding of GPU cloud infrastructure with strong customer and market insight.

The role engages directly with enterprise and AI customers, analyses the GPU cloud landscape, and brings structured, data-driven input into Zettabyte's product and go-to-market strategy.

The role defines product positioning, messaging and go-to-market strategy together with sales and engineering.

Reporting Line

Reports to: Co-CTO and CPO

Key Responsibilities

  • Customer engagement: learn workload patterns, pain points and requirements directly from enterprise customers, AI developers and partners.
  • Market analysis: track GPU cloud providers (for example CoreWeave, Lambda, RunPod, AWS, Azure, GCP) on performance, cost and experience.
  • Framework insight: apply evaluation frameworks such as ClusterMax and NVIDIA Cloud validation to product and differentiation strategy.
  • Feedback to product: turn customer and market insight into clear requirements, priorities and recommendations for Product and Engineering.
  • Ecosystem collaboration: work with GPU and AI ecosystem vendors (for example NVIDIA, AMD) on performance, interoperability and validation standards.
  • PoC support: work with FAEs and Solutions Engineers during customer PoCs to gather structured feedback and secure successful outcomes.
  • Thought leadership: act as a subject matter expert on AI and GPU cloud market dynamics through internal briefings, product planning and executive updates.

Required Qualifications

  • 5 to 10 years in solutions engineering, technical product management, competitive analysis or product strategy, ideally in GPU computing, cloud infrastructure or AI/ML systems
  • A strong understanding of GPU cloud evaluation frameworks, NVIDIA Cloud validation programmes or similar benchmarking used by analysts and hardware partners
  • A proven ability to translate complex customer and market insight into product direction
  • A technical background in Kubernetes, GPU orchestration, AI/ML workloads or data centre infrastructure
  • Excellent communication and presentation skills with both engineers and executives
  • A bachelor's degree or higher in computer science, physics, engineering or a related technical field

Bonus Qualifications

  • GPU cloud background: prior work at a GPU cloud provider, hyperscaler or AI infrastructure vendor
  • Benchmark submissions: experience shaping benchmark or certification submissions, such as ClusterMAX ratings or NVIDIA cloud validation
  • Field experience: customer-facing pre-sales or field experience with customers in APAC and the US, including PoC support
  • Market voice: published market or competitive analysis, or analyst-relations work in the GPU cloud or AI infrastructure market

What Success Looks Like (First 90 to 180 Days)

  • A current view of the GPU cloud landscape shared with product and leadership
  • Customer insight turned into prioritised product requirements
  • Positioning and messaging agreed with sales and engineering
  • PoC feedback captured in a structured, reusable form

Why This Role Matters

  • Voice of the market: structured, data-driven customer and market insight inside Zettabyte.
  • Positioning: this role shapes how Zettabyte's GPU cloud offerings stand out.

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 in Palo Alto (3 days in office, 2 days remote), or remote within the United States with team presence in Seattle and Palo Alto and core hours of 10:00 to 15:00 PT
  • Employment type: Full-time
  • Compensation: USD 185,000 to 235,000 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: Must be authorised to work in the United States, without need for visa sponsorship
  • Equal opportunity: Zettabyte is an equal opportunity employer and considers all qualified applicants without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other legally protected status; qualified applicants with arrest or conviction records are considered in line with applicable fair chance laws, including the California Fair Chance Act

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