Senior GTM Systems AI and Automation Engineer

About the role

Camunda is looking for a Senior GTM Systems AI and Automation Engineer to design, build and operate AI‑powered infrastructure that connects go‑to‑market systems and eliminates manual work across Sales, Customer Success, Marketing, Partnerships and Account Development. This fully remote position joins a small, Salesforce‑centric revenue stack team.

Key responsibilities

• Design, build and operate AI agents, LLM integrations and automations linking Salesforce, Gainsight, Slack, Salesloft, Clari, HubSpot, Impartner and other GTM tools.
• Own the architecture of the AI layer, including MCP servers, APIs, retrieval pipelines, reusable agent tools and serverless/containerized services on Google Cloud Platform.
• Ship production‑grade LLM capabilities with prompt engineering, RAG, function calling, structured outputs and robust guardrails (validation, fallback, confidence thresholds, human escalation, audit logging, cost and latency management).
• Partner with Revenue Operations, Sales, Customer Success, Marketing and Partnerships leaders to identify automation opportunities, translate requirements and deliver incremental, well‑documented solutions.
• Raise engineering standards through code review, automated testing, CI/CD, security governance, observability and mentorship on responsible AI development.
• Design and deploy workflows on orchestration platforms such as Camunda and Clay, creating playbooks for GTM teams to operate automations independently.

Required profile

• 5+ years of software engineering experience, including at least 2 years delivering LLM or AI capabilities in production.
• Strong proficiency in Python and JavaScript/TypeScript (Node.js) with mature Git‑based development practices.
• Hands‑on expertise in LLM patterns (prompt engineering, RAG, function/tool calling, evaluation) and mitigation strategies.
• Experience integrating with Salesforce APIs and other business systems, preferably on Google Cloud Platform.
• Ability to own problems end‑to‑end in a remote, asynchronous environment.

Required skills

• Python
• JavaScript / TypeScript (Node.js)
• Git, CI/CD
• LLM integration patterns (prompt engineering, RAG, function calling)
• Salesforce REST/Bulk/Streaming APIs
• Google Cloud Platform (BigQuery, Cloud Run, Cloud Functions, IAM)
• API and event‑driven integration
• Vector databases (pgvector, Pinecone, Weaviate, ChromaDB)
• AI observability tools (LangSmith, Weights & Biases)
• Orchestration platforms (Camunda, Clay)
• React, Slack Block Kit

What we offer

• Competitive, transparent salary (US $143,800 – $231,900 annual total target cash) with 100% variable component where applicable.
• Equity through a Virtual Stock Option Plan.
• Remote‑first work model with home office budget and co‑working space support.
• Annual in‑person events and local meet‑up budgets.
• Health, wellbeing and mental health benefits, including Modern Health and a Lifestyle Spending Account.
• Retirement and pension plans, life and disability insurance.
• Professional development budget up to $1,000 per year for courses, certifications or books.