Customer Success Manager

What we do

CommodityAI is building AI that automates workflows in one of the world’s most operationally complex industries—commodities. These are the companies that move the resources our world runs on: the grains that feed us, the metals that build our cities, and the energy that powers everything in between.

Behind every trade and shipment, however, critical data lives in emails, PDFs, and legacy systems, slowing operations, increasing errors, and tying up teams in manual work. CommodityAI is a digital operator for the physical commodities world. It continuously interprets unstructured data, reconciles with the system-of-record, and flags issues in real time—giving teams greater clarity across every transaction.

We’re redefining how commodity businesses execute by embedding intelligence into their daily workflows—helping them manage risk, streamline post-trade execution, and move the world’s resources with greater control and accuracy. CommodityAI is building intelligence and automation at the foundation of global trade.

Why join us

We’re a Y Combinator–backed company (W24) bringing AI to the $10T+ commodities industry. Our customers are enterprise-scale physical traders and producers in agriculture, energy, metals, and chemicals.

We’re funded by top investors, including Y Combinator, Rebel Fund, and the founders of YouTube, Uber, and Reddit.

As one of our earliest hires, you’ll help shape not just the product, but how we build as a company. You’ll work directly with the founders — running implementations, refining customer workflows, and making decisions that drive retention and revenue.

Who you are

You’re a customer-first operator who moves quickly, thinks in systems, and works well in ambiguity. You build trust early, care about the details, and follow through consistently.

In this role, you’ll support every stage of the customer journey. Your focus: helping teams activate workflows, save time, and scale automation across their business.

You’ll do well here if you

• Are energized by the pace and ambiguity of early-stage startups — and know what that entails
• Lead with empathy, act with care, and hold a high bar for the customer experience
• Work with a low ego and high curiosity, always open to feedback and better ways of doing things
• Have owned complex, enterprise-level relationships from onboarding through renewal
• Bring structure to unstructured problems, simplifying complexity with clarity and speed
• Notice patterns, ask thoughtful questions, and move with purpose on what matters most

What you’ll do

• Run onboarding from end to end, including kickoff calls, collecting sample documents, configuring the platform, and delivering training
• Lead renewal and expansion conversations with sales by scoping new opportunities
• Monitor and grow customer usage across key workflows by tracking engagement, surfacing issues, and driving adoption
• Troubleshoot product issues, escalate bugs, and debug edge cases in collaboration with engineering
• Capture feedback and influence roadmap priorities based on real-world usage and trust signals
• Flag risks and ensure every customer is set up for long-term retention and expansion
• Create structure and repeatability in our CS playbook to enable us to scale with incredible velocity

You might be a fit if you

• Have 4 to 8+ years in customer-facing roles such as CSM, solutions, implementation, or product
• Worked in a startup and are comfortable in fast-paced, ambiguous environments
• Led customer onboarding and expansion efforts, and owned renewal or upsell targets
• Communicate with clarity in writing, in meetings, and when presenting to a room
• Are process-driven, customer-focused, and detail-oriented
• Are capable of growing and leading a high-performing customer success team as the company scales

Bonus points

• Experience working with enterprise B2B customers and understanding the dynamics of complex, high‑stakes relationships
• Exposure to commodities, supply chain, logistics, or operational automation
• Familiarity with AI/LLM products or data extraction workflows

This is a full-time, in-person role based in San Francisco.