Embedding with customer teams to learn how their operations actually run – shadowing experts, mapping decision logic, and capturing the tribal knowledge that makes work correct
Building and deploying agents tailored to each customer's systems, edge cases, and operational reality
Owning the feedback loop: patterns you find in the field directly shape what we build into the platform
Presenting the platform to customers and prospects with sharp narration and real design taste – sequencing demos around their specific workflows, making the value obvious, not just the features
You’re a strong generalist engineer: comfortable across backend, frontend, and ML-adjacent tasks
You have excellent communication skills and can translate between technical and non-technical stakeholders
You think in terms of business outcomes
You’re comfortable jumping into ambiguous problems and finding creative solutions fast
You have experience in solutions engineering, growth engineering, or as a technical founder
You care about how things are presented, not just whether they work – demo pacing, visual clarity, the narrative arc of a customer conversation
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