Customer Success Manager, US

present of AI; United States; Vor Ort; USD 120.000 - 165.000; Vollzeit

Zusammenfassung

present of AI seeks a customer success professional to drive post-sale adoption of its AI and computer vision platform in senior living communities. You will translate usage data into practical on-the-floor actions, influencing care teams and leadership.

The role requires working with executive directors and frontline staff, leading kickoff, training, and family sessions, and embedding adoption into routines, care plans, and shift huddles. HubSpot familiarity is a plus.

Qualifikationen

• Post-sale customer success experience with adoption and retention.
• Ability to read usage and outcome data.
• Comfort communicating with executive directors and frontline staff.

Aufgaben

• Own adoption of the AI platform across senior living communities, integrating into routines and care plans.
• Train staff and run kickoff, training and family sessions, then embed adoption in shift huddles.
• Investigate falls signals, identify patterns, and persuade care leaders to act based on data.

Kenntnisse

Post-sale customer success

Data-driven dashboards

Change management

Executive stakeholder communication

Tools

HubSpot

Jobbeschreibung

Owns results across a set of senior living communities: fewer falls, faster staff response, care levels that match resident needs, and daily use of the platform by care teams. Runs kickoffs, training and family sessions, then works adoption into routines, care plans and shift huddles. A strong candidate has post sale customer success experience with measurable adoption and retention, reads usage and outcome data well, and is at ease with both executive directors and frontline staff.

How it fits the AI era

The product uses computer vision to watch rooms and flag activity and risk, so the role is about turning those signals into changes on the floor rather than selling features. AI handles detection and alerts; the human work is investigating falls, spotting patterns, persuading care leaders to act and following through. Trust from care teams is what decides whether the technology sticks.

How it builds AI experience

Working here builds practical skill in applying computer vision in care settings: reading alert and outcome data, judging what a signal means for a resident, and explaining it to nurses and directors. A candidate can prepare by getting comfortable with usage dashboards and customer health tools like HubSpot, and by learning how fall risk and response times are tracked in senior living.

Worth showing

• Post sale customer success
• Adoption and retention results
• Data fluency with dashboards
• Frontline change management
• Senior living or care experience

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Teton

Per the company, Teton provides an AI and computer vision platform that monitors patient and resident rooms to detect activity and risk in real time.