Staff GTM Engineer (AI & Automation)
U.S.Full-TimeStaff
Salary174986 - 209983 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 7+ years building production systems and integrations, 2+ years hands-on experience applying LLMs/AI to production workflows
- Required Skills
- Node.jsPythonGCPGitJavascriptSalesforceHubSpotBigQueryPrompt Engineering
Requirements
- 7+ years building production systems and integrations (software engineering, data/analytics engineering, business systems, or GTM engineering)
- 2+ years hands-on experience applying LLMs/AI to production workflows
- Proven experience delivering AI-enabled systems or automation with measurable business outcomes
- Strong in Python and JavaScript/Node.js with Git-based development workflows, code review practices, and testing discipline
- Deep familiarity with Google Cloud Platform, BigQuery, and Cloud Functions
- Hands-on experience with LLM frameworks and patterns: prompt engineering, RAG, function calling/tool use, agent orchestration, structured output parsing, and evaluation
- Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code)
- Experience implementing automation systems, building agent workflows, and maintaining scalable infrastructure
- Strong documentation skills and ability to communicate clearly with technical and business audiences
- Experience integrating with Salesforce (or similar CRM) and at least one marketing automation platform (Customer.io / HubSpot / Marketo)
- Background working with analytics, segmentation, and personalization platforms
- Experience building multi-agent systems: agent decomposition, orchestration patterns, state management
- Understanding of LLM failure modes and production mitigations: confidence thresholds, fallback logic, human escalation, cost/latency management
- Experience with systematic LLM evaluation: golden datasets, regression testing, A/B testing prompts, monitoring for drift
- Familiarity with conversational AI, chatbot development, and routing logic
Responsibilities
- Build and operate reliable automation across custom code + orchestration tools (e.g., n8n/Workato/Make), including CI/CD, testing, deployment practices, and runbooks.
- Implement modular, scalable, multi-agent AI systems that operate 24/7 and integrate with marketing platforms (e.g., Customer.io, Marketo, Salesforce, BigQuery).
- Own technical direction for GTM automation: design data models, define API contracts, build shared libraries, and maintain reference architectures.
- Partner with RevOps, Demand Generation, Regional Marketing, Events Marketing, & SDRs to solve workflow inefficiencies through agent-based solutions.
- Create reusable workflow templates, playbooks, and “how-to” docs for partner teams.
- Provide hands-on technical support and troubleshooting for AI systems across teams.
- Align AI chatbot systems across multiple teams (Marketing, SDR, Customer Success) to create unified prospect interaction routing.
- Build intelligent routing logic that determines when and how to engage human resources in prospect interactions.
- Build and maintain secure, documented systems with robust PII controls, compliance protocols, and permission frameworks.
- Implement company-wide standards for AI prompt engineering, version control, testing, observability, and business impact measurement.
- Create internal training materials, best practices documentation, and scalable frameworks for AI tools.
- Support ongoing AI adoption through hands-on technical assistance and system optimization.
View Full Description & ApplyYou'll be redirected to the employer's site
