Senior Enterprise AI Implementation Manager

Neonhealth; San Francisco (CA); Hybrid; USD 170,000 - 230,000; Full time

Job summary

Neon Health is seeking a Product Manager for forward-deployed roles to partner with enterprise customers, ensuring successful adoption and seamless integration of Neon’s AI automation platform. You will translate business needs into technical requirements, supervise onboarding, and drive multi-workstream implementations in a fast-paced environment.

Ideal candidates bring analytical rigor, a background in SaaS or automation, and the ability to navigate ambiguity while delivering concrete customer

Qualifications

• Experience navigating complex workflows, ideally in SaaS or automation platforms.
• Track record of leading implementations, technical onboarding, or product rollout programs.
• Strong presence with enterprise stakeholders and ability to influence and communicate clearly.

Responsibilities

• Partner directly with enterprise customers to ensure successful adoption and deep integration of Neon’s AI automation platform.
• Own the relationship and serve as the primary point of contact for customer stakeholders from operators to executives.
• Translate customer needs into technical specs and map workflows to requirements; identify edge cases proactively.
• Drive implementations by guiding onboarding and integration with customers.
• Diagnose edge cases, uncover root causes, and collaborate with engineering to resolve system or workflow challenges.
• Manage multiple complex initiatives with timelines, risks, and dependencies.
• Expand usage by identifying opportunities to deepen adoption and introduce new workflows and capabilities.

Job description

Neon Health is seeking a Product Manager for forward-deployed roles to partner with enterprise customers, ensuring successful adoption and seamless integration of Neon’s AI automation platform. You will translate business needs into technical requirements, supervise onboarding, and drive multi-workstream implementations in a fast-paced environment.

Ideal candidates bring analytical rigor, a background in SaaS or automation, and the ability to navigate ambiguity while delivering concrete customer