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Technical Customer Success Manager
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-08-30
Listing for:
Zof AI
Full Time
position Listed on 2026-08-30
Job specializations:
-
Customer Service/HelpDesk
Technical Support, HelpDesk/Support -
IT/Tech
Technical Support, HelpDesk/Support
Job Description & How to Apply Below
Zof AI is seeking a Technical Customer Success Manager to make customers successful after launch and prove it. This is technical customer success: driving adoption, being the first line for debugging and optimizing customer AI deployments, and turning outcomes into evidence that powers renewals and expansion. If you have worked as a Customer Success Engineer, this role consolidates that discipline with account ownership.
The ideal candidate is equally comfortable reading a trace and running an executive business review.
Customer Success
· Mid to Senior
· Full-time
· On-site
· San Francisco, CA
- Own customer adoption and outcomes from launch onward.
- Serve as the first line for debugging and optimizing customer deployments.
- Prove value with outcome data that drives renewals and expansion.
- Run onboarding, training, and regular outcome reviews with customers.
- Escalate technical issues to engineering with clear reproductions.
- Detect churn risk early and act on it.
- Champion the voice of the customer inside product and engineering.
- Build the customer success playbook as the customer base grows.
- Experience in customer success, support engineering, or technical account management.
- Enough technical depth to debug and explain AI system behavior.
- Strong relationship-building and communication skills.
- Comfort with outcome data, metrics, and business reviews.
- Strong organization across multiple accounts.
- High ownership of customer outcomes.
- Willingness to use AI tools deeply in day-to-day work.
- Comfort operating in a fast-moving environment.
- Prior customer success engineering or solutions experience.
- Experience supporting AI, developer tools, or enterprise software.
- Ability to read code and logs.
- Experience with renewals and expansion motions.
Must be technical enough to debug and explain AI deployments, not just report on them
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