Digital Success Engineer

Jamf

. Build and maintain automation, tooling, and integrations powering Jamf’s digital customer success motion .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSenior💰 $100,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining automation and integrations, with a strong focus on AI-assisted development and critical evaluation of AI-generated outputs. Proficient in translating requirements into effective technology solutions while collaborating with cross-functional teams.

Highest-signal resume keywords

Automation EngineeringIntegration EngineeringAI-Assisted DevelopmentVersion Control (Git)Customer Success Metrics

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AutomationAPIsData ConnectorsScriptingLow-Code AutomationMCP WorkflowsWorkflow DevelopmentTroubleshootingTestingDocumentation

Soft Skills

Strong CommunicationCollaboration

Tools & Technologies

SnowflakeSalesforceGainsightSlack

Certifications & Qualifications

Development CertificationsAutomation CertificationsData-Platform Certifications

Industry Keywords

Customer SuccessDigital SuccessData PipelinesAI ToolsCustomer Engagement

Tech Stack

Tools & technologies

Jamf

About the role

Key responsibilities & impact

Build and maintain automation, tooling, and integrations powering Jamf’s digital customer success motion
Develop agentic workflows, in-app guidance, and connectors integrating Snowflake, Salesforce, Gainsight, and Slack
Translate strategy and requirements into scoped, tested, and shipped technology
Monitor, troubleshoot, version, and improve production digital-success tooling
Implement targeting and personalization logic using adoption, health, and usage signals
Apply AI-assisted development, agent and prompt engineering, version control, and MCP workflows
Evaluate AI-generated outputs for accuracy before customer delivery
Build guardrails for automated customer-facing communication, including review and human approval controls
Partner with the Customer Success Analytics Engineer and data teams on data, definitions, and pipelines
Document and package solutions for maintenance, reuse, and handoff
Evaluate emerging AI tools, models, and platforms and recommend adoption
Perform other duties and special projects as assigned

Requirements

What you’ll need

Minimum of 4 years of experience in a technical build role such as software or automation engineering, solutions or integration engineering, analytics engineering, or similar
Hands-on ability to build and maintain automation and integrations
Comfort with APIs, data connectors, and scripting or low-code automation across Snowflake, Salesforce, Gainsight, and Slack
Experience translating defined requirements and priorities into working, tested technology
Familiarity with AI-assisted development, agent or prompt engineering, or connector-based MCP workflows (preferred)
Ability to evaluate AI-generated outputs with critical judgment
Comfort with version control such as Git and modern software and data-stack practices
Working knowledge of customer success or customer-engagement data and metrics (preferred)
Strong communication and collaboration skills
Bachelor’s degree in a technical, quantitative, or related field, or equivalent experience
Relevant development, automation, or data-platform certifications (preferred)

Benefits

Comp & perks

Open, flexible culture based on respect and trust
Work-life balance prioritized
Training and career growth opportunities, including vertical and horizontal career paths
Best-in-class sales-focused Bootcamp training
Supportive team environment with shared best practices
Opportunity to make a meaningful impact for more than 75,000 global customers