Digital Success Engineer
Jamf · USA
About this role
## Digital Success Engineer — Jamf ### About the role At Jamf, the **Digital Success Engineer** builds the automation, tooling, and integrations that power Jamf’s digital customer success motion—supporting **agents, agentic workflows, and connected systems** for proactive, one-to-many engagement at scale. Reporting to the **Director, Strategic Programs**, you’ll partner with the **Digital Success Strategy Manager** to turn the vision and requirements into working, maintained technology that reaches customers and drives adoption. ### What you’ll do - Build and maintain automation, tooling, and integrations for the digital customer success motion, including **agentic workflows**, **in-app guidance**, and connectors to systems like **Snowflake, Salesforce, Gainsight, and Slack**. - Translate strategy and requirements into working technology—**scoping, building, testing, and shipping** components that deliver the engagement model. - Monitor, troubleshoot, and improve digital-success tooling in production (fix issues, version changes, and keep the motion reliable). - Implement logic to **target and personalize engagement**, converting adoption/health/usage signals into proactive triggers and flows. - Use **AI-assisted and modern development tooling** (agent/prompt engineering, version control, connector-based **MCP workflows**) and evaluate outputs for accuracy before customer delivery. - Add guardrails for automated customer-facing communication, including **draft-first review**, **human approval where needed**, and scalable safety controls aligned to governance. - Partner with the **Customer Success Analytics Engineer** and data teams on data definitions, pipelines, and dependencies. - Document and package what you build so it can be maintained, reused, and handed off. - Work with general autonomy on how to build, prioritizing based on direction from the Digital Success Strategy Manager and escalating decisions as needed. - Evaluate emerging AI tools/models/platforms and recommend adoption when they improve reliability, speed, or reach. - Other duties and special projects as assigned. ### What we’re looking for - **Minimum 4 years** in a technical build role (software/automation engineering, solutions/integration engineering, analytics engineering, or similar)—ideally in **SaaS or customer-facing** contexts (**required**). - Hands-on ability to build/maintain **automation and integrations**; comfort with **APIs**, data connectors, and scripting/low-code across **Snowflake, Salesforce, Gainsight, Slack** (**required**). - Experience turning defined requirements/priorities into working, tested technology (**required**). - Familiarity with **AI-assisted development** (agent/prompt engineering or **MCP** workflows) and evaluating AI outputs with critical judgment (**preferred**). - Comfort with **version control (e.g., git)** and modern software/data-stack practices (**required**). - Working knowledge of customer success/customer engagement data and metrics (**preferred**). - Strong communication and collaboration skills across strategy, data, and customer success teams (**required**). ### Education & certifications - Bachelor’s degree in a technical/quantitative/related field, or equivalent experience (**required**). - Relevant certifications in development/automation/data platforms (**preferred**). ### Location - **#LIRemote** ### Pay transparency (U.S.) - **$100,000–$140,000 USD** (national range across U.S. locations) ### Company c
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