Senior Forward Deployed Product Manager

present of AI; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Lorikeet seeks a leader to own enterprise accounts, blend product work with hands-on building for a small set of very large customers, and guide deployments from kickoff to sign-off. A strong candidate has six+ years of accountability for high-stakes customer results, earned trust with executives, and can ship fixes by digging into logs and data, turning problems into playbooks.

In this AI-driven role, most investigation is automated, but judgment about customer needs and when to hand sensitive

Qualifications

• Six+ years of accountability for high-stakes customer results and a track record of earning trust with enterprise executives.
• Ability to lead deployments from kickoff through security and legal sign-off.
• Hands-on approach to digging into logs and data, shipping fixes without waiting on engineers, and creating repeatable playbooks.

Responsibilities

• Own enterprise accounts and blend account ownership with product work and hands-on building for a small set of very large customers.
• Lead deployments from kickoff through security and legal sign-off.
• Dig into logs and data to ship fixes and develop playbooks for recurring problems.

Job description

This role is a mix of account ownership, product work and hands-on building for a small set of very large customers. A strong candidate has six or more years of being accountable for high-stakes customer results, has earned trust with enterprise executives, and can lead a deployment from kickoff through security and legal sign-off. They also dig into logs and data themselves, ship fixes without waiting on engineers, and can turn repeated problems into playbooks for others.

How it fits the AI era

AI handles much of the investigation and building here, since the work relies on an internal agent and a coding assistant to test and ship changes quickly. What stays human is the judgment about what the customer's business really needs next, the trust with executives, and deciding where an AI agent should hand a sensitive case to a person in regulated settings.

How it builds AI experience

Someone in this role would gain deep, practical experience deploying AI support agents in finance and health, where mistakes are costly. Projects range from voice agents that handle phone trades to fraud and identity checks, so the learning covers real production use. To prepare, build a small agent project, study how support conversations break down, and be ready to explain what worked and what failed.

Worth showing

• Executive relationship and renewal wins
• Shipped AI projects, honest lessons
• Log and data investigation
• Playbooks that helped teams scale

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.