Senior GTM Systems AI and Automation Engineer

Stack

Responsibilities

• ▹Design, build and operate AI agents, LLM integrations and automations connecting Salesforce, Gainsight, Slack, Salesloft, Clari, HubSpot, Impartner and the rest of the GTM stack
• ▹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 (BigQuery, Cloud Run, Cloud Functions)
• ▹Ship production-grade LLM capabilities (prompt engineering, RAG, function calling, structured outputs, automated evaluations) with guardrails: validation, fallback logic, confidence thresholds, human escalation, access controls, audit logging, cost and latency management
• ▹Partner with Revenue Operations, Sales, Customer Success, Marketing and Partnerships leaders to identify and prioritize automation opportunities and deliver incrementally with clear documentation
• ▹Raise the engineering bar for the GTM Systems team: code review, automated testing, CI/CD, security governance, observability, documentation and mentoring on responsible AI-assisted development
• ▹Design and deploy workflows on orchestration platforms such as Camunda and Clay, and create playbooks and enablement for GTM teams

Requirements

• ▹5+ years of software engineering experience (backend, 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 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 their failure modes and mitigations
• ▹Experience integrating with Salesforce (REST/Bulk/Streaming APIs, data model, platform limits) 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 and communicate clearly with engineering and business stakeholders in a remote, asynchronous environment

Nice to have

• ▹Experience with the Model Context Protocol (MCP) or similar standards, 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)

Soft skills

What we offer

• ▹Fully remote, anywhere the company is eligible to hire
• ▹Annual total target cash (base + 100% variable): United States $143,800 to $231,900, United Kingdom £90,300 to £148,500, Singapore S$178,600 to S$267,900
• ▹Equity through a Virtual Stock Option Plan (VSOP), where applicable
• ▹Home office budget, co-working support, flexible time off
• ▹Annual Kickoff (Madrid in 2026), team offsites and meetup budgets
• ▹Locally tailored healthcare, mental wellbeing support and the Live Well lifestyle spending account
• ▹Retirement and pension plans, life and disability insurance where relevant
• ▹Up to 1,000 USD/EUR/GBP per year for self-driven learning

About the company

Camunda is the enterprise platform for agentic orchestration, coordinating AI agents, people and systems across complex business processes. It is trusted by over 700 organizations worldwide, including 9 of the top 10 US banks.