Deployment Success Engineer - Automation & Growth

Serval

New York (NY)

On-site

USD 150,000 - 220,000

Full time

9 days ago

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Benefits offered by this job

Impact: meaningful work
Growth opportunities
Culture of innovation

Job summary

Serval is seeking a Deployment Success Engineer on the Agent Deployment team to own customer outcomes post-deployment. You’ll resolve issues, drive adoption, and advocate for customer needs while building scalable support systems. You’ll write code, ship fixes, and create automation to help more customers succeed without linear headcount growth.

Strong client-facing and technical depth is essential. Join a fast-moving startup environment backed by top investors, and shape a new AI automation

Qualifications

  • Startup experience in customer-facing or technical roles.
  • Ability to read and troubleshoot production code in customer-facing environments.
  • Strong communication and relationship-management skills.

Responsibilities

  • Own customer success and support post-sale; troubleshoot issues and advocate for customer needs internally.
  • Drive renewals and expansion within accounts to deepen Serval's footprint.
  • Build scalable support systems, tooling, and playbooks to support more customers without linear headcount growth.
  • Ship production code changes to fix bugs and add features that extend Serval's capabilities.
  • Run training sessions and create documentation to enable customers to get full value from Serval.

Skills

Customer-facing
Production code
Automation scripting
Communication

Job description

Serval is seeking a Deployment Success Engineer on the Agent Deployment team to own customer outcomes post-deployment. You’ll resolve issues, drive adoption, and advocate for customer needs while building scalable support systems. You’ll write code, ship fixes, and create automation to help more customers succeed without linear headcount growth.

Strong client-facing and technical depth is essential. Join a fast-moving startup environment backed by top investors, and shape a new AI automation

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