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Chef Robotics is accelerating the deployment of intelligent machines in the physical world, starting with food production — the sector facing the largest labor shortage in the U.S., with 1.14M unfilled jobs today and 3.1M projected by 2030. These roles can't be offshored, making robotics essential to keeping production onshore and strengthening America's manufacturing base.
Our AI-powered robots automate food prep and assembly in commercial kitchens and food manufacturing, and have already produced over 110 million meals in production — generating the world's largest proprietary dataset for deformable food manipulation. Backed by investors including Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, Chef is rapidly scaling with multiple multi-year contracts and a mission to put an intelligent robot in every commercial kitchen.
About the Role
Chef Robotics is seeking a highly motivated Customer Success Manager who is passionate about driving growth at existing customers. The role is focused on ensuring customers are happy and that they are achieving ROI and key metrics of success. The job requires detailed regular analytics and quantitative data to understand the customer experience and to identify new opportunities for sales growth. The ideal candidate is a strategic thinker and experienced collaborator who can build a deep understanding of our customers' businesses and the key metrics that lead to successful outcomes.
This role requires a blend of strong analytical depth, technical skills, and executive communication. You will guide data collection, analysis, and reporting systems,using data-driven recommendations to influence decisions both internally and with customers. You must be comfortable working cross-functionally to surface what matters and drive results. If you are passionate about the customer experience and thrive in the fast-paced, dynamic environment of an early-stage startup, we encourage you to apply.
NOTE: This role is expected to spend 33% of their time onsite with customers.
Responsibilities:
- Prepare status reports by gathering, analyzing, and summarizing relevant data (Throughput, Utilization, Uptime, etc.)
- Quickly gain a detailed understanding of our customers' business on a daily basis and help to define and monitor the KPIs that provide the highest customer value.
- Develop and implement customer success plans that identify new opportunities for sales growth tailored to each customer’s specific goals and requirements.
- Frequently spend time at customer sites, building relationships with customers, training users on established and new systems, finding reasons for utilization gaps, and determining which features/bugs to prioritize to improve customer value.
- Secure expansion agreements ranging from $250K to $1M+, contributing directly to company growth.
- Build and optimize models that support sustained high double-digit year-over-year revenue growth.
- Translate complex datasets into clear narratives and recommendations, helping customers make data-informed decisions on renewal and expansion.
- Act as a data-driven thought leader, promoting customer insight as a core capability within the CSX team and the wider organization.
- Identify opportunities to promote additional products and services that enhance the customer’s operations and drive customer renewals and account expansion.
- Work closely with the technical support and engineering teams to resolve customer issues efficiently and effectively.
Qualifications:
- You have a proven track record of navigating long, complex enterprise sales cycles and structuring SaaS and hardware deals. You have demonstrated the ability to build and scale sales growth, exceed ambitious targets, and implement metrics that drive predictable growth. Ideally, you have a background in selling robotics/automation solutions or direct experience as a buyer of automation equipment within manufacturing environments. Experience and skill requirements include:
- Bachelor’s degree in Business, Engineering, or a related field.
- Experience being on-site at custom facilities, interfacing with operations leaders in a fast-paced 24/7 production environment
- 3-5 years of experience in customer success, account management, or a similar role, preferably within robotics or within the enterprise space
- Strong technical acumen with the ability to understand and explain complex AI and robotics solutions to both technical and non-technical stakeholders.
- Proven track record of managing customer relationships and driving customer success in a B2B environment.
- Proven ability to analyze complex customer data and translate it into actionable business recommendationsAbility to collaborate effectively with both technical (Data, Engineering) and business (CX, Sales, Product) stakeholders
Equal Opportunity Employer We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, sex, gender identity and expression, sexual orientation, national origin, ancestry, citizen status, uniform service member and veteran status, marital status, age, pregnancy status, protected medical condition, genetic information, disability, or any other protected status. Multiple studies have found that a higher percentage of women and BIPOC candidates won't apply if they don't meet every listed qualification. Chef values candidates of all backgrounds. If you find yourself excited by our mission but you don't check every box in the description, we encourage you to apply anyway!
Equal Opportunity Employer
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, sex, gender identity and expression, sexual orientation, national origin, ancestry, citizen status, uniform service member and veteran status, marital status, age, pregnancy status, protected medical condition, genetic information, disability, or any other protected status.
Multiple studies have found that a higher percentage of women and BIPOC candidates won't apply if they don't meet every listed qualification. Chef values candidates of all backgrounds. If you find yourself excited by our mission but you don't check every box in the description, we encourage you to apply anyway!
Chef Robotics is solving one of the hardest problems in AI and robotics — and we ship. Our robots are in production today, generating real data that trains the next generation of food AI. Backed by Kleiner Perkins, Construct, Bloomberg Beta, and Promus Ventures, and built by a team from Cruise, Zoox, Google, Tesla, and Amazon Robotics, we're scaling fast with multiple multi-year enterprise contracts. If you want to build physical AI with real-world deployments and real impact, Chef is the place.
Chef Robotics San Francisco, California, USA Office
986 Mission St.,, San Francisco, CA, United States, 94103
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)
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- 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
