Why Cast AI?

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. 

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About the role

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.

What success looks like in 180 days

• A validated ICP and buyer persona, tested against real prospects, not just the initial hypothesis.
• Positioning and messaging tested and refined through real conversations, with a clear read on what resonates with infra buyers versus AI/ML teams.
• A defined evaluation or onboarding motion for new customers, even if still high-touch rather than self-serve.
• Consistent, quantified proof points from early customers or design partners.
• A working read on the competitive landscape and where OMNI's differentiation actually lands with prospects.

Requirements:

• 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.

What would make you stand out

• 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.

What’s in it for you?

• 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.
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