• 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.
• Fluent English, written and spoken.

What would make you stand out

• Background in database performance, reliability tooling, or observability markets.
• Experience operating successfully in an early-stage or ambiguous product environment.
• Experience building the initial go-to-market motion for a product without an established playbook.
• Evidence that AI meaningfully improved a PMM outcome, speed, quality, reuse, or measurement.
• Commercial judgment around pricing, packaging, and willingness to pay, even where Product owns the final call.
• Owned positioning or GTM for an infrastructure, DevOps, or platform engineering product.
• Background in AI infrastructure, data platforms, or developer tools.
• Used customer and deal evidence to shape product strategy and GTM.
• Evidence of using AI to make your own PMM work faster, more consistent, more reusable, or easier to measure

Responsibilities:

• Run deep, direct customer research to define and validate DBO’s ICP.
• Own positioning and messaging, including where DBO’s story connects to Cast AI’s broader platform for existing customers, 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 DBO into a value story its technical buyers recognize as true.
• Manage feature launches end to end, from early positioning through GA.
• Build and iterate on 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

1. Screening call with a Recruiter.
2. Interview with the Hiring Manager.
3. Practical exercise.
4. Cross-functional interview.
5. Culture Check interview with an executive.