Senior Forward Deployed Product Manager

Lorikeet builds AI that handles complex, high-volume customer support for fintechs, healthtechs, marketplaces, and delivery services. As a Senior Forward Deployed Product Manager, you will own a small number of strategic customer accounts, lead deployments of Concierge, and run each account as a business, growing usage and identifying expansion opportunities.

Responsibilities

Lead deployments for our largest customers, aligning their executives and our engineers on priorities and what success looks like; Own a small number of strategic accounts after launch, including Concierge performance, usage of the product, retention and account growth; Investigate where Concierge can improve, build and deploy fixes into production, setting the deployment's direction with your FDE; Find the next use case with each customer's executives and build the case for expansion; Get each deployment through the customer's procurement, security and legal reviews; Coach FDPMs and turn what you've learned into playbooks and tools; Bring Product the problems that matter most, backed by evidence from your customers, and follow them until they ship

Requirements

Have 6+ years of owning high-stakes customer outcomes, whether in account leadership, product, consulting, a forward-deployed role or as a founder; Have built trusted relationships with executives at enterprise customers, and grown those accounts through renewals and expansions; Have worked at a startup or scale-up and enjoy building the process while you're running it; Have built things with AI yourself, and can talk honestly about what worked and what didn't; Can dig into API docs, conversation logs and usage data to figure out what's going wrong, without waiting for someone else to find the answer; Have made the team around you better, whether by managing people or by building the systems they rely on

Nice to have

Have worked in fintech, healthcare or another regulated industry; Have shaped a product roadmap with evidence from customers; Have deployed an AI product and tied it to a measurable business outcome

Benefits

A culture built on low ego, high trust and flexible hours; Promotions recognized in real time, with leadership meeting every six weeks to recognize strong performers; Unrestricted access to AI tools with no usage limits (including Claude Code); Twice-yearly company trip to Hawaii; Paid ~two-day work trial as part of the recruitment process