Tech Careers · Hiring Manager
About the company
A funded, fast-growing AI startup building agent technology that automates back-office operations for logistics providers and shippers, an industry still running huge volumes of manual work: appointment setting, quoting, load entry, and more. The company is capturing serious momentum in a multi-trillion dollar market and already has enterprise customers signing large platform deals.
The role
You'll own enterprise customer deployments end-to-end, acting as the connective tissue between large logistics customers and internal delivery teams. This means translating complex, often messy supply chain workflows into live, working AI agent configurations — not managing a backlog from behind a desk. This is a foundational hire: you'll help build the deployment playbook itself, not just execute someone else's.
Important: this role is fully on-site, 5 days a week, in either New York or San Francisco. New York is the preferred location due to proximity to East Coast customers. This is not a hybrid or remote-friendly role, and candidates should only apply if they are located in or genuinely willing to relocate to one of these two cities.
What you'll do
What you must bring
Nice to have
Compensation & logistics
$150K–$240K base plus competitive equity. Fully on-site, five days a week, in New York or San Francisco (New York preferred). Seven openings. Not open to any visa sponsorship — candidates must already be authorized to work in the US (citizen or Green Card holder).
This isn't the right fit if
You're looking for a traditional, internal-facing PM role rather than a hands-on, customer-facing deployment role. It's also not the right fit if you're not comfortable with ambiguity, or if you're looking for something lower-intensity than a 60+ hour week with short-notice travel. This role rewards people who are genuinely willing to do the unglamorous, on-the-ground work of a deployment, not just the strategy layer.
Bachelor's
N/A
Supply Chain Optimization
Logistics Management
Data Analysis
AI Integration
Process Automation
Demand Forecasting
Inventory Control
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