Enterpret
Strategic Customer Success Manager
New York City. Posted 3 months ago
The role
You will own and be accountable for the success of a book of business from onboarding through renewal and upsell. You will deploy agents with customers and use data to tell stories that drive business outcomes.
What you will do
- Own and be accountable for the success of customers
- Carry real business targets
- Review, correct, and act on agent-led portfolio reviews, renewal prep, onboarding status, and upsell forecasting
- Write and maintain agent skills for account briefs, engagement mapping, usage reports, churn risk sweeps, and case study drafts
- Help customers connect to AI tools through MCP and stand up custom agents on feedback data
- Tell stories with data using quantified themes, quotes, and outcomes
- Drive positive business outcomes like increased revenue, reduced churn, and better user activation
- Provide value by building agents that close product gaps
- Act as an advocate for customers to product and engineering teams
Required qualifications
- Have owned a revenue number (NRR, expansion, or renewal) for an enterprise or PLG book of business
- Be a hands-on daily user of AI tools like Claude
- Be a strong data storyteller
- Have a strong sense of ownership
- Have a desire to make an impact at an early stage startup
- Be eager to learn and raise hand to solve hard problems
- Be excited to meet customers in person
Nice to have
- An example of an agent or automation you built that made customers or you measurably better
- A favorite come-from-behind Customer Success story of the last two years
Benefits
- Autonomy and ownership of an early-stage startup
- Highly competitive compensation
- Early-stage startup equity
- Medical, Dental, and Vision Insurance
- Comprehensive benefits package, including 401(k)
- Generous vacation policy
- Maternity and Paternity leaves
Before you apply
- Submit your resume
- Share an example of why you will be an exceptional CSM
About the company
Enterpret unlocks customer feedback data by centralizing it into a single knowledge graph. They build an adaptive taxonomy and an agent platform for teams to query and act on customer intelligence.