Senior GTM Systems AI and Automation Engineer

Camunda

Brasil

Remote

BRL 200,000 - 320,000

Full time

9 days ago

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Benefits offered by this job

Remote work
Flexible time off
Learning stipend

Job summary

Camunda’s Revenue Operations team is hiring a software engineer to design, build, and operate AI-powered infrastructure that connects GTM systems. This is a fully remote role and can be based anywhere Camunda is eligible to hire.

You will own the AI layer architecture—LLM integrations, MCP servers, retrieval pipelines, and cloud services—shipping production-grade capabilities with validation, access controls, and observability.

Qualifications

  • 5+ years in software engineering with backend, systems integration, data/analytics, or automation.
  • 2+ years shipping LLM or AI capabilities into production workflows.
  • Strong Python and JavaScript/TypeScript (Node.js) with Git-based development and CI/CD.
  • Experience with Salesforce APIs and cloud platforms (GCP preferred).
  • Ability to communicate clearly in a remote, asynchronous environment.

Responsibilities

  • Design, build, and operate AI agents, LLM integrations, and automations across GTM systems.
  • Own AI layer architecture including MCP servers, APIs, and retrieval pipelines.
  • Ship production-grade LLM capabilities with validation, fallback, and audit logging.
  • Collaborate with Revenue Operations, Sales, Customer Success, Marketing, and Partners.
  • Mentor engineers and advance code quality through CI/CD and testing.

Skills

Software engineering
LLM/AI deployment
Python
JavaScript/TypeScript
Git
CI/CD
Salesforce APIs
Cloud (GCP)

Tools

Git-based development
CI/CD pipelines
Salesforce integration

Job description

Join Camunda’s Revenue Operations organization to design, build, and operate the AI-powered infrastructure connecting its go-to-market systems. This is a fully remote role and can be based anywhere Camunda is eligible to hire.

What you will do

Design, build, and operate AI agents, LLM integrations, and automations connecting Salesforce, Gainsight, Slack, Salesloft, Clari, HubSpot, Impartner, and other GTM systems. Own the AI layer architecture: MCP servers, APIs, retrieval and context pipelines, reusable agent tools and skills, and services on Google Cloud Platform. Ship production-grade LLM capabilities, with validation, fallback logic, confidence thresholds, human escalation, access controls, audit logging, and cost and latency management. Partner with Revenue Operations, Sales, Customer Success, Marketing, Partnerships, and SDR/ADR leaders to identify opportunities and deliver maintainable solutions. Raise the engineering bar through code review, automated testing, CI/CD, security governance, observability, documentation, and mentoring. Design workflows using orchestration platforms such as Camunda and Clay, and create enablement for GTM teams.

What you will bring

5+ years in software engineering (backend, systems integration, data/analytics engineering, or automation), including 2+ years shipping LLM or AI capabilities into production workflows or internal tools. Strong Python and JavaScript/TypeScript (Node.js), with Git-based development, code review, automated testing, and CI/CD. Hands-on experience with LLM patterns such as prompt engineering, RAG, function/tool calling, structured outputs, evaluation, and mitigation of failure modes. Experience with Salesforce APIs, data model and platform limits, other business-system integrations, event-driven patterns, and a cloud platform (GCP preferred). Ability to own work end-to-end and communicate clearly in a remote, asynchronous environment.Nice to have Experience with MCP or similar standards, agent frameworks, vector databases, or retrieval pipelines. Exposure to AI observability and evaluation tooling. Familiarity with Camunda or Clay, or prior Revenue Operations, GTM Systems, Sales Operations, or Marketing Operations experience in B2B SaaS. Experience building lightweight interfaces for AI tools or relevant Salesforce certifications.

Compensation

The posting provides location-based Annual Total Target Cash ranges (base salary plus 100% variable target, where applicable): United States US$143,800–231,900; United Kingdom £90,300–148,500; Singapore S$178,600–267,900. For other locations, the Talent Acquisition Partner provides a personalized Total Rewards Calculator after the first interview; no Brazil-specific range is listed.

Benefits and process

Remote and flexible work, home-office and co-working support, flexible time off. Locally tailored healthcare and global mental wellbeing support, where applicable. Retirement and pension plans, and life and disability insurance where relevant. Up to US$/€ /£1,000 per year for self-directed professional learning. Camunda may use AI tools to support screening and interviews. Camunda states it is an equal-opportunity employer. It also warns candidates that official recruiting messages come from @camunda.com or @talent.camunda.com and that it never asks for bank details, checks, payments, or other sensitive information as part of hiring.

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