Earn up to

















You're a product exec who still ships. You can take a fixed product vision, slice it into the smallest valuable increments, and get enterprise-grade AI capabilities into production fast, without turning the work into roadmap theater. You've already lived through the "AI will solve everything" phase, you know where large language models (LLMs) and generative AI break under real-world constraints, and you're good at building anyway. If your best work happens when you own the outcome end-to-end (deciding, prototyping, hardening, launching, and watching real customers use it), then keep reading.
Most of the software industry is doing AI like a costume change: sprinkle a chatbot on top, announce a "copilot," call it innovation, and hope enterprise buyers don't ask hard questions. We're doing the opposite. We're building AI-native B2B SaaS capabilities that earn their place in the product by delivering measurable enterprise value at a speed that makes traditional agile planning cycles look like self-harm. Our edge is compressing the Sell → Design → Build loop, ruthless scope control inside an established direction, and production deployments that meet enterprise security and compliance standards without months of coordination overhead.
In this fully remote role, you'll sit close to engineering and operate as a player-coach: part builder, part decision-maker, zero part coordinator. You'll translate an established product strategy into executable sprint-level scope, prototype quickly with modern AI tooling to collapse ambiguity, and drive releases that customers can actually adopt in real enterprise environments. If you've shipped net-new enterprise software, used AI as an execution layer (not a press release), and you're calm when the hype collides with production constraints, you'll have the autonomy to move fast and the responsibility to make it hold up. If that sounds like relief instead of pressure, apply.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.






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