About the Role
Camunda's Revenue Operations organization is looking for a Senior GTM Systems AI and Automation Engineer to design, build and operate the AI-powered infrastructure that connects our go-to-market systems and removes manual work across Sales, Customer Success, Marketing, Partnerships and Account Development. You will join the GTM Systems team – a small group of builders who own a Salesforce-centric revenue stack – and take ownership of its AI and automation layer: agents, LLM integrations, MCP servers, retrieval pipelines, backend services and workflow orchestration. You will partner with GTM leaders to find high-impact problems, scope them, and ship reliable, well-governed solutions iteratively. This is a fully remote role and can be based anywhere we are eligible to hire.
What You Will Do
- Design, build and operate AI agents, LLM integrations and automations that connect Salesforce, Gainsight, Slack, Salesloft, Clari, HubSpot, Impartner and the rest of the GTM stack – reducing manual work across Sales, CS, Marketing, Partners and ADR teams.
- Own the architecture of the GTM Systems AI layer: MCP servers, APIs, retrieval and context pipelines, reusable agent tools and skills, and serverless or containerized services on Google Cloud Platform (BigQuery, Cloud Run, Cloud Functions).
- Ship production-grade LLM capabilities – prompt engineering, RAG, function calling, structured outputs, automated evaluations – with the guardrails to match: validation, fallback logic, confidence thresholds, human escalation paths, access controls, audit logging, and cost and latency management.
- Partner with Revenue Operations, Sales, Customer Success, Marketing, Partnerships and SDR/ADR leaders to identify and prioritize automation opportunities, translate ambiguous requirements into maintainable solutions, and deliver incrementally with clear documentation.
- Raise the engineering bar for the GTM Systems team: code review, automated testing, CI/CD, security governance, observability and technical documentation; mentor teammates on responsible AI-assisted development.
- Design and deploy workflows on orchestration platforms such as Camunda and Clay, and create playbooks and enablement so GTM teams can use and operate automations independently.
Compensation
We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech hubs) reflecting local competition.
- United States: $143,800.00 to $231,900.00
- United Kingdom: £90,300.00 to £148,500.00
- Singapore: S$178,600.00 to S$267,900.00
Equity
We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP).
Benefits & Perks
- Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it.
- In Person Connection: We invest in meaningful face time through our Annual Kickoff, team offsites, and Camundi Connection Budgets, including contributing to meetups while travelling, and local gatherings with fellow Camundi.
- Health & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life. The Live Well program launches in 2026 and scales to €1,000 annually from 2027.
- Financial Security: Retirement and pension plans (often with company contributions), plus life and disability insurance where relevant.
- Professional Growth: Up to $/€/£1,000 per year for self-driven learning: courses, certifications, books, you decide!
Must Haves
- 5+ years of software engineering experience (backend development, systems integration, data or analytics engineering, or automation), including at least 2 years shipping LLM or AI capabilities into production business workflows or internal tools.
- Strong proficiency in Python and JavaScript/TypeScript (Node.js), with mature Git-based development habits: code review, automated testing, CI/CD.
- Hands-on command of LLM patterns – prompt engineering, RAG, function/tool calling, structured outputs, model evaluation – and of their failure modes and mitigations (validation, fallback logic, confidence thresholds, human review, cost and latency control).
- Experience integrating with Salesforce (REST/Bulk/Streaming APIs, data model, platform limits; Apex or Flow a plus) and other business systems via APIs and event-driven patterns, and with a cloud platform (GCP preferred: BigQuery, Cloud Run, Cloud Functions, IAM).
- Ability to own a problem end-to-end with minimal guidance – scope, design, deliver, operate – and to communicate clearly with engineering and business stakeholders in a remote, asynchronous environment.
Nice to Haves
- Experience with the Model Context Protocol (MCP) or similar standards for connecting AI systems to tools and data; agent frameworks; vector databases or retrieval pipelines (pgvector, Pinecone, Weaviate, ChromaDB).
- Exposure to AI observability and evaluation tooling (LangSmith, Weights & Biases, or custom eval frameworks).
- Familiarity with orchestration platforms such as Camunda or Clay, and prior work in Revenue Operations, GTM Systems, Sales Operations or Marketing Operations in B2B SaaS.
- Building lightweight interfaces for AI tools (React, Slack Block Kit, dashboards); Salesforce certifications (Platform Developer I/II, Integration Architect).
