Senior Forward Deployed Product Manager

present of AI; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Lorikeet is seeking a Senior Product professional for New York City on-site. You will own a portfolio of major customer accounts from rollout through growth and act as the main liaison with customer executives, while also actively contributing to product work.

The ideal candidate has six or more years handling high-stakes customer outcomes, can read logs and usage data to diagnose issues, and has prior AI-building experience. You will balance executive conversations with hands-on shipping work.

Qualifications

• Six+ years accountable for high-stakes customer results.
• Ability to read logs and usage data to diagnose issues.
• Experience building with AI in product contexts.
• Comfortable shifting between executive conversations and shipping fixes.

Responsibilities

• Own large customer accounts from rollout through growth.
• Serve as the main contact for customer executives.
• Work hands-on in product to drive improvements and fixes.

Skills

Executive account ownership

Data interpretation

AI familiarity

Product leadership

Job description

Product - New York City (US-Onsite) - FullTime - Senior level

This role owns a few of the biggest customer accounts from rollout through growth, acting as the main contact for customer executives while also working hands-on in the product. A strong candidate has six or more years of being accountable for high-stakes customer results, can read logs and usage data to find what is going wrong, and has built with AI before. Comfort moving between executive conversations and shipping fixes is the core of it.

How it fits the AI era

AI handles the support conversations, so the work shifts to tuning the agent, checking its answers, and deciding what it should take on next. Tools like Coach and Claude Code let a product manager investigate and ship changes without waiting on engineers. What stays human is earning executive trust, judging risk in regulated settings, handling procurement and security reviews, and deciding when a person should step in.

How it builds AI experience

The role gives direct experience deploying AI agents in finance and health support, where accuracy matters a great deal, with examples like voice agents and identity checks. Day-to-day use of Claude Code and a forward deployed agent builds practical skill in testing and shipping AI changes. Someone preparing can build a small AI support agent, write down what worked and what failed, and link it to a measurable result.

Worth showing

• Executive account ownership


• AI projects you built


• Log and data investigation


• Expansion wins with customers


• Playbooks that helped teams

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Lorikeet

AI customer-support agents built for the regulated industries where a wrong answer actually matters.