What you'll do: - Set quarterly product strategy for your squad, aligned with SuperHive's platform vision and the construction lifecycle we serve. - Translate customer needs — master developers, project owners, contractors, regulators — into prioritized capabilities and crisp specifications. - Prototype with agents and frontier models: scope use cases, design evaluations, validate end-to-end results, and only then hand to engineering. - Partner with the customer engagement team to shape design-partner co-builds, then drive the tool graduation decision — when a client-specific feature becomes a platform capability and how it generalizes. - Be the customer-facing voice of your squad: demos, requirements workshops, conversion analysis, and post-engagement retrospectives. - Work as part of a tight cross-squad product pod to keep the platform coherent.

What you bring: - 5+ years in product management, with at least 2 years building AI-native products (LLM/agent systems, applied ML, computer vision, or similar). - Hands-on with current AI tooling: prompting frontier models, designing and reading evals, and judging m

What you'll do: - Set quarterly product strategy for your squad, aligned with SuperHive's platform vision and the construction lifecycle we serve. - Translate customer needs — master developers, project owners, contractors, regulators — into prioritized capabilities and crisp specifications. - Prototype with agents and frontier models: scope use cases, design evaluations, validate end-to-end results, and only then hand to engineering. - Partner with the customer engagement team to shape design-partner co-builds, then drive the tool graduation decision — when a client-specific feature becomes a platform capability and how it generalizes. - Be the customer-facing voice of your squad: demos, requirements workshops, conversion analysis, and post-engagement retrospectives. - Work as part of a tight cross-squad product pod to keep the platform coherent.

What you bring: - 5+ years in product management, with at least 2 years building AI-native products (LLM/agent systems, applied ML, computer vision, or similar). - Hands-on with current AI tooling: prompting frontier models, designing and reading evals, and judging m