Digital Success Engineer

Summary

Jamf provides Apple device management, deployment, and security solutions for organizations worldwide. The Digital Success Engineer builds and maintains the automation, tooling, integrations, and AI-assisted workflows that power proactive digital customer success, partnering with strategy, analytics, data, and customer success teams to drive adoption at scale.

Responsibilities

• Builds and maintains the automation, tooling, and integrations behind the digital customer success motion, including agentic workflows, in-app guidance, and the connectors that tie them to systems such as Snowflake, Salesforce, Gainsight, and Slack
• Turns the strategy and requirements set by the Digital Success Strategy Manager into working technology including scoping, building, testing, and shipping the components that deliver the engagement model
• Monitors, troubleshoots, and improves the digital-success tooling in production, including fixing issues, versioning changes, and keeping the motion running reliably
• Implements the logic that targets and personalizes engagement — translating adoption, health, and usage signals into the triggers and flows that drive proactive outreach
• Applies AI-assisted and modern development tooling — agent and prompt engineering, version control, and connector-based (MCP) workflows — evaluating outputs for accuracy before they reach customers
• Builds in the guardrails for automated customer-facing communication — draft-first review, human approval where needed, and controls that keep the motion safe to run at scale — consistent with the governance set for the motion
• Partners with the Customer Success Analytics Engineer and data teams on the data, definitions, and pipelines the tooling depends on
• Documents and packages what is built so it can be maintained, reused, and handed off
• Works with general autonomy on how to build, taking direction from the Digital Success Strategy Manager on what to build and in what priority, and escalating cross-functional or technical decisions as needed
• Evaluates emerging AI tools, models, and platforms, and recommends adoption where they meaningfully improve the reliability, speed, or reach of the digital customer success motion
• Other duties and special projects as assigned

Skills

• Minimum of 4 years of experience in a technical build role — software or automation engineering, solutions or integration engineering, analytics engineering, or similar — ideally in a SaaS or customer-facing context (required)
• Hands-on ability to build and maintain automation and integrations — comfort with APIs, data connectors, and scripting or low-code automation across systems such as Snowflake, Salesforce, Gainsight, and Slack (required)
• Experience building against defined requirements and priorities, turning a strategy or specification into working, tested technology (required)
• Comfort with version control (e.g., git) and modern software and data-stack practices (required)
• Strong communication and collaboration skills, with the ability to work from direction and partner across strategy, data, and customer success teams (required)
• Bachelor's degree in a technical, quantitative, or related field, or equivalent experience (required)
• A combination of relevant experience and education may be considered
• Familiarity with AI-assisted development — agent or prompt engineering, or connector-based (MCP) workflows — and evaluating AI-generated outputs with critical judgment (preferred)
• Working knowledge of customer success or customer-engagement data and metrics (preferred)
• Certifications in relevant development, automation, or data platforms (preferred)

Qualifications

Must Haves

• Minimum of 4 years of experience in a technical build role — software or automation engineering, solutions or integration engineering, analytics engineering, or similar — ideally in a SaaS or customer-facing context (required)
• Hands-on ability to build and maintain automation and integrations — comfort with APIs, data connectors, and scripting or low-code automation across systems such as Snowflake, Salesforce, Gainsight, and Slack (required)
• Experience building against defined requirements and priorities, turning a strategy or specification into working, tested technology (required)
• Comfort with version control (e.g., git) and modern software and data-stack practices (required)
• Strong communication and collaboration skills, with the ability to work from direction and partner across strategy, data, and customer success teams (required)
• Bachelor's degree in a technical, quantitative, or related field, or equivalent experience (required)
• A combination of relevant experience and education may be considered

Nice to Haves

• Familiarity with AI-assisted development — agent or prompt engineering, or connector-based (MCP) workflows — and evaluating AI-generated outputs with critical judgment (preferred)
• Working knowledge of customer success or customer-engagement data and metrics (preferred)
• Certifications in relevant development, automation, or data platforms (preferred)

Benefits

• Open, flexible culture based on respect and trust
• Work-life balance remains our priority
• We train and then we give you the room to grow. Our Jamfs can explore the vertical career path, as well as the horizontal, to discover new interests and opportunities.
• Best-in-class sales focused Bootcamp training provides you with the technical and product knowledge required to confidently talk with customers about Jamf
• We set achievable targets, help each other out, and share best practices across the team.
• The opportunity to make a real and meaningful impact for more than 75,000 global customers