Senior GTM Systems AI and Automation Engineer

About the Role

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.

What You Will Bring to the Role

• 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.

• 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).

What We Have to Offer

• Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co‑working space support, and flexible time off.
• In Person Connection: Annual Kickoff, team offsites, Camundi Connection Budgets, and local gatherings.
• Health & Wellbeing: Access to local healthcare, Modern Health for global mental wellbeing, and a Live Well Lifestyle Spending Account.
• Financial Security: Retirement and pension plans, life and disability insurance.
• Professional Growth: Up to €1,000 per year for self‑driven learning.
• AI in our hiring process: Camunda may use AI tools to aid the screening of applications and during the interview process.

Culture

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