Sales Enablement GTM Engineer

[](https://www.builtinchicago.org/company/ge-healthcare)

[**GE Healthcare**](https://www.builtinchicago.org/company/ge-healthcare)

# Sales Enablement GTM Engineer

Job Posted 5 Days AgoPosted 5 Days Ago

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Hybrid

Chicago, IL, USA

118K-176K Annually

Senior level

Hybrid

Chicago, IL, USA

118K-176K Annually

Senior level

Build AI-enabled sales workflows using Salesforce, MuleSoft, Agentforce, and multi-agent orchestration. Develop Apex, Flow, Python, APIs, integrations, grounding artifacts, and secure data-access patterns. Translate B2B sales processes into scalable seller experiences, troubleshoot complex ingestion and integration issues, and improve sales productivity through intelligent workflows. The role requires 5+ years of software engineering or technical delivery experience and production experience with AI, data engineering, or enterprise integration systems.

The summary above was generated by AI

**Job Description Summary** Join a small, high-impact team building the next generation of AI-enabled commercial experiences using Salesforce, MuleSoft, and Agentic AI. We are looking for an engineer who can combine deep technical execution with an understanding of sales workflows to turn complex seller journeys into simple, intelligent experiences.

GE HealthCare is a $20B publicly traded global med-tech company focused on diagnostic and digital solutions. With more than 50,000 employees across 160+ countries, GE HealthCare serves over 1 billion patients worldwide. Founded in 2023 as a spin-off from GE, we combine a strong heritage of innovation with the agility of a new growth-oriented public company.

**Job Description** **What You'll Do**

- Configure and develop using Apex, Flow, Python, the REST Query API, Agentforce script, Lightning Actions and HXL as required - following security, change-management, and release controls. - Workflow & Multi-Agent Orchestration: Build, configure, and optimize complex operational workflows using AFO, defining agent reasoning, tool-calling logic, and conditional execution loops. - Agent Communication Protocols: Implement modern agent-to-agent communication standards and the Model Context Protocol (MCP) to govern context sharing, task hand-offs, and tool execution across specialized AI agents. - Working knowledge of enterprise B2B sales processes, including lead-to-opportunity, account and contact management, opportunity lifecycle, pipeline and forecasting, and sales execution workflows, with the ability to translate business processes into scalable Salesforce solutions. - Ability to understand Sales Rep and Sales Manager personas and translate commercial needs such as account preparation, opportunity progression, customer engagement, and next-best actions into intuitive, AI-enabled workflows that improve seller productivity. - AI-Assisted Engineering: Leverage modern AI tools (Claude, Kiro) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months. - Ground the agents. Design, build, and maintain artifacts that ground Agentforce solutions in accurate, real-time enterprise data. - Connect the ecosystem. Implement robust, scalable, and secure data integration patterns that connect Agentforce to a wide range of enterprise applications and enable communication between AI agents. - Debug the hard problems. Troubleshoot ingestion failures, mapping defects, schema drift, identity anomalies, query behavior, activation latency, API errors, permissions, and consumption issues - methodically, with logs and query evidence, isolating product behavior from configuration error.

**Qualifications**

- 5+ years of software engineering or technical delivery experience, with at least 2 production AI, data engineering, or enterprise integration system deployed to prod