AI Agent Product Manager (On-site SF)

Wwshemi; San Francisco (CA); Vor Ort; USD 120.000 - 210.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) match

Zusammenfassung

Wwshemi is seeking an Agent Product Manager to bridge customers, sales, and engineering in a hospitality AI software setting. You’ll focus on onboarding, retention, and turning feedback into repeatable AI agent workflows and product improvements.

You will lead onboarding and reviews, build AI agents for customer workflows, and collaborate with engineering to expand capabilities while automating routine tasks to enhance customer interactions.

Qualifikationen

• 3+ years in product management or customer-facing technical roles.
• Experience owning onboarding, success or account operations for a technical product.
• Ability to scope technical requirements and translate needs into specs.
• Experience building automations or workflows using RPA or no-code tools.
• Experience with AI coding assistants to prototype or build solutions.
• Ability to identify automation vs engineering needs based on customer requests.
• Comfort working with non-technical business customers, hospitality/travel/service contexts.

Aufgaben

• Lead customer onboarding, quarterly business reviews, and retention-focused conversations.
• Build and deploy AI agents addressing customer workflows.
• Translate recurring customer needs into prioritized product work for engineering.
• Partner with engineering to resolve agent limitations and scope new capabilities.
• Automate routine work and improve processes while prioritizing valuable customer interactions.

Kenntnisse

Product management

Customer success

Pattern recognition

Automation concepts

AI tooling usage

Tools

Zapier

Make

n8n

Jobbeschreibung

Wwshemi is seeking an Agent Product Manager to bridge customers, sales, and engineering in a hospitality AI software setting. You’ll focus on onboarding, retention, and turning feedback into repeatable AI agent workflows and product improvements.

You will lead onboarding and reviews, build AI agents for customer workflows, and collaborate with engineering to expand capabilities while automating routine tasks to enhance customer interactions.