Customer Success Manager (Maternity Cover) - Teton
Job Description
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About Teton:
Our vision is to be the indispensable AI companion for care staff, transforming patient care, and ultimately operations and delivery across the entire healthcare industry.
Our product is an AI-powered companion for care staff, leveraging proprietary computer vision technology to alleviate the administrative inefficiencies and observational tasks that overburden care professionals, enabling them to provide better patient care.
Through a combination of in-room hardware, AI and desktop and mobile applications, Teton enhances workflow optimization, decision-making, and patient outcomes, creating a seamless healthcare experience for both patients and providers. Our solution provides unprecedented access to real-time data insights, creating a digital twin of patient states and care delivery that empowers healthcare providers with actionable intelligence for optimal decision-making.
Responsibilities:
You will be responsible for the customer journey from the moment the contract is signed through site planning, implementation, onboarding, and expansion. Key responsibilities include:
- Coordinating the successful installation of Tetonâs hardware on-site, working with the technical project manager, customer stakeholders like IT, Estate planning, and care staff to create an excellent customer experience.
- Develop strong relationships with front-line customers through empathy and your ability to solve problems, which may mean joining a night shift and traveling around in Jutland.
- Partner with our product and engineering teams to successfully calibrate and troubleshoot.
- Provide excellent customer service, resolving issues promptly and professionally.
- Partner with our business development teams to run successful Quarterly Business Reviews (QBRs), identifying and capitalizing on expansion opportunities.
- Contribute to our goal of continually enhancing our product and service based on customer feedback and needs.
Qualifications:
- Experience as a Customer Success Manager in SaaS or other tech-enabled services.
- A background in the care sector, for example in elderly care, or a social science background, such as anthropology or sociology.
- You are proactive, passionate, and like to work in a dynamic team.
- You enjoy visiting customers regularly and are committed to understanding their needs.
- You are adept at onboarding and training new users.
- Youâre excited about being part of a team that implements solutions and initiates new customer relationships.
- Youâre great at structuring and planning.
- You are curious and have an outgoing profile with excellent interpersonal skills.
- You are based in Jutland and are comfortable traveling to customers. Some customer visits may require overnight stays.
- Must have a valid driverâs license.
- Must speak Danish fluently, and be proficient in English.
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Teton
View Company ProfileTeton.ai (operating at teton.ai) is a predictive AI intelligence and spatial monitoring platform engineered to transform hospital wards and elderly care facilities. Founded in 2020 by Mikkel Wad Thorsen and Esben Klint Thorius and headquartered in Copenhagen, Denmark (with US operations in San Francisco, California), Teton replaces reactive nurse call buttons, manual night checks, and delayed fall responses with continuous, privacy-preserving computer vision sensors. Under the hood, Teton creates anonymized 3D digital twins of resident rooms to analyze spatial activity, movement patterns, mobility shifts, and staff interaction cycles in real-time without storing video footage or requiring residents to wear intrusive monitoring devices. The system alerts care teams to early risk indicators, slashes caregiver administrative burdens by 25%, and reduces resident falls by up to 82%. Backed by over $25M in fundingâincluding a $20M Series A led by Plural alongside Bertelsmann Investments, Antler Elevate, Nebular, and PSV TechâTeton integrates directly into healthcare workflows across Europe and North America to shift care delivery from reactive handling to predictive intervention.
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