AI Product Manager, Superhumans & Console

New

1mindEnterprise AI software

Remote - US; can be worked from any location in the United States.Full-TimeManager

Salary$185,000 to $260,000; compensation package also includes stock options

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Job Details

Experience: 5+ years of product management, with at least 2 years on an AI-native product where the user-facing experience was the product, not a feature bolted onto SaaS.
Required Skills: Product ManagementProduct Analytics

Have 5+ years of product management experience, including at least 2 years on an AI-native product where the user-facing experience was the product.
Have owned a user-facing product surface at an AI-native or craft-first product company.
Have built or owned a builder, editor, or configuration product and understand the tradeoffs between flexibility and clarity.
Have experience improving signup, activation, habit, time-to-first-value, and retention, with metrics you can cite.
Instrument products before shipping.
Understand how prompt, context, and configuration changes differ from changes requiring the model team.
Be able to read a conversation trace and identify where the user experience broke.
Prototype with code or design tools before writing a product document.
Write clear, concise specifications and communicate product metrics effectively.
Nice to have: experience with voice, video, or real-time conversational products.
Nice to have: ownership of a self-serve product funnel and pricing or packaging surfaces.
Nice to have: GTM domain experience, analytics or dashboard products, or enterprise app surfaces.

Own the live Superhuman conversation experience across web, voice, and video, including pre-call preparation, in-call assists, demos, screen sharing, and post-call follow-through.
Own the Superhuman Console builder, including persona, goals, ICP, knowledge, guardrails, preview, testing, and publishing.
Improve self-serve signup, onboarding, first-time user experience, templates, and defaults to get customers to their first live conversation.
Build analytics and value-reporting dashboards for pipeline influence, meetings advanced, and deals touched.
Develop workspace-level configuration and per-rep personalization, surfacing shared context at the right moment.
Ship weekly with design and engineering, involving enablement and Customer Success before releases.
Set the design quality bar for customer-facing surfaces with the conversational AI designer.

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