lorikeet - Senior Forward Deployed Product Manager
Requirements
• 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.
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. • EXAMPLE PROJECTS • Build a voice agent that books live currency trades over the phone, from checking the caller's identity to confirming the trade. • Deploy Concierge as a fintech's 24/7 phone line, replacing cards and opening fraud cases without a human in the loop. • Automate identity document checks for a money transfer app, catching forged documents faster than human reviewers. • Invent a new way to verify a locked-out customer, matching a code they send from a linked social account. • Teach Concierge to retain a customer who wants to cancel, with an offer that fits the business's rules. • YOU MIGHT BE A FIT IF YOU: • Have 6+ years of owning high-stakes customer outcomes, whether in account leadership, product, consulting, a forward-deployed role or as a founder. Your title matters less than whether you were accountable for the result. • 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.
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