Senior Product Marketing Manager (GPU Infrastructure)

Role Description

OMNI is one of Cast AI's newest products. It finds and connects fragmented GPU capacity across clouds, regions, and data centers, and attaches it directly to your Kubernetes clusters, so an AI workload can actually run on it. You will have direct access to early customers, Product, Engineering, and company leadership, with the mandate to turn market evidence into the initial GTM playbook for the business.

This is a hands-on, research-heavy role, and a different kind of PMM job than owning a mature product line. You'll spend real time talking to early customers yourself, running tests on what messaging and channels actually work, and building ICP and positioning from scratch rather than refining something that already exists. We operate automation-first and market-obsessed, so you're expected to treat every test and every customer conversation as an input, not a formality.

You'll report to the Director of Product Marketing and work closely with Product and Engineering leadership, with support from Content, Growth, Design, and Sales Enablement as this work scales.

Qualifications

• 5+ years of product marketing experience in a technical B2B category, with demonstrated depth in at least one relevant market.
• Real experience building an ICP and messaging architecture from scratch, for a product where the buying motion hasn't been fully validated yet.
• Demonstrated ability to build credibility with technical practitioners and executive buyers.
• Track record of running customer interviews and extracting patterns to refine positioning.
• Excellent writing, backed by relevant work samples: positioning, launch content, sales narratives.
• Experience designing GTM experiments and changing direction based on results.
• Basic data literacy, including defining success criteria and reading funnel or adoption data.
• Experience with win/loss research and competitive deal support.
• Commercial judgment around pricing, packaging, and willingness to pay, even where Product owns the final call.
• Fluent English, written and spoken.

Requirements

• Background in cloud infrastructure, AI infrastructure, GPU or compute platforms, DevOps, observability, or developer tools.
• Experience operating successfully in an early-stage or ambiguous product environment.
• Evidence that AI meaningfully improved a PMM outcome, speed, quality, reuse, or measurement.

Responsibilities

• Run deep, direct customer research to define and validate OMNI's ICP.
• Own positioning and messaging, and keep it consistent as new features ship.
• Own the commercial hypothesis, audience, message, positioning, and experiment design for GTM tests across trial flow, content, and channels. Growth, Product, and Demand Gen help execute the experiments and measure results.
• Translate the technical differentiation behind OMNI into a value story its technical buyers recognize as true.
• Manage feature launches end to end, from early positioning through GA.
• Build the first version of sales enablement assets, battlecards, proof points, and demo narrative, since the product doesn't have a mature sales motion yet.
• Maintain the feedback loop from customer and market signal back into roadmap input.
• Track the competitive landscape and share what's changing with product and leadership.
• Partner directly with Engineering to keep messaging accurate as fast-moving features evolve.
• Build and maintain AI-assisted workflows that make this function faster, more consistent, or easier to measure.

Benefits

• Competitive salary (depending on the level of experience).
• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self-improvement.
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Team-building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work-life balance.

Hiring Process

• Screening call with a Recruiter.
• Interview with the Hiring Manager.
• Interview with OMNI leader.
• Practical exercise.
• Sales/GTM interview.
• Culture Check interview with an executive.

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.

*Please note that Cast AI does not provide any form of visa sponsorship/work permit.