Owns customer relationships from onboarding through adoption, expansion, and renewal. Maps workflows and data, identifies high-value AI opportunities, translates needs into implementation requirements, partners with product and engineering on deployments, leads rollout and adoption, tracks customer value, and develops repeatable customer success and deployment playbooks.
About Elm AI
The role
What you’ll do
What we’re looking for
Working style
Why join
Elm AI builds AI agents for sourcing, compliance and supplier operations. Our software is live with major consumer brands, helping teams manage audit reviews, corrective actions, documents and supplier follow-through across thousands of factories.
We’re hiring an AI Deployment Strategist to own customer relationships from onboarding through adoption, expansion and renewal. You’ll work with customers across supply chain, sourcing, procurement and compliance to understand their processes, identify where AI can deliver measurable value, and partner with product and engineering to deploy it.
- Map customer workflows, SOPs, data sources and manual processes; identify high-ROI opportunities for AI.
- Translate customer needs into clear implementation requirements and work with product and engineering to deliver them.
- Lead rollout and adoption across operators, program managers, executives and cross-functional teams.
- Use customer data and usage patterns to track value, recommend improvements and identify expansion opportunities.
- Build repeatable playbooks for onboarding, workflow discovery, deployment and customer success as Elm grows.
- 3–7 years in customer success, consulting, implementation, solutions, product, operations or a related customer-facing role.
- Experience with technical or enterprise software and a strong interest in practical AI deployment.
- Ability to diagnose complex workflows, define success metrics and communicate clearly with both operators and executives.
- Strong program management, data fluency and follow-through.
- Ownership and curiosity: you’re comfortable with ambiguity, getting into the details and building a playbook as you go.
- Interest in supply chains, sourcing, manufacturing, compliance, logistics, procurement or supplier operations.
Helpful, but not required: supply-chain or responsible-sourcing experience; early-stage startup experience; solutions engineering or forward-deployed work; familiarity with APIs, data models, integrations or AI agents; experience with global teams or AI-native products.
This is a hybrid role based in the United States, with meaningful overlap with U.S. Eastern Time and flexibility for customers across Europe and Asia. We offer competitive compensation, benchmarked to your role, experience and regional market.
- High ownership and direct work with founders, customers, product and engineering.
- Major global customers, several years of runway and backing from top investors.
- Room to grow into customer success, solutions, implementation or go-to-market leadership.
- Competitive compensation, a learning and development budget, generous AI and tooling budgets, and a personal spend card for experimentation and education.
- A team that values thoughtful execution, customer outcomes and sustainable work.
Similar Jobs
Artificial Intelligence • Software
Develops positioning, messaging, go-to-market strategies, sales enablement, partner content, webinars, events, and competitive intelligence for Fieldguide’s corporate internal audit product. The role connects Product with sales, customer success, marketing, and reseller channels while building buyer expertise, defining ICPs, and supporting launches, adoption, retention, and expansion.
Artificial Intelligence • Software
Develop product positioning, messaging, launch strategies, sales enablement, and customer-facing content for Fieldguide’s risk advisory SaaS platform. Partner with Product, Sales, Customer Success, and Marketing to align go-to-market teams, train sellers, support technical evaluations, manage the customer advisory board, and create blogs, newsletters, webinars, case studies, and testimonials.
Top Skills:
AISaaS
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Manages provider relations, credentialing, recredentialing, contracting, provider data integrity, claims issue resolution, network support, reporting, audits, and provider communications. Maintains provider records across enterprise databases, investigates operational issues, supports compliance with NCQA and County standards, develops training, and collaborates with cross-functional teams to improve provider network performance and satisfaction.
Top Skills:
SharepointSmartcareSQL ServerTres
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
