AI GTM Engineer

Role: AI GTM Engineer
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: 6 months (With a possibility of contract-to-hire)
Work Hours: US Time
Work Schedule: 8 hours/day (Mon-Fri)
Location: 100% Remote (Candidates can work from anywhere in LATAM Countries)

About the Role

We are looking for an exceptional Senior AI GTM Engineer to sit at the intersection of artificial intelligence and go-to-market execution. This is a high-impact, cross-functional role responsible for identifying revenue and operational bottlenecks and solving them with AI — whether that means building autonomous agents, automating end-to-end workflows, or deploying intelligent solutions across our GTM tech stack.

You'll work closely with Sales, Marketing, Customer Success, Enablement, and RevOps to understand where friction lives and engineer AI-powered solutions that eliminate it at scale.

What You'll Do

AI-Powered GTM Automation

• Design and deploy AI agents to automate repetitive GTM workflows including lead routing, pipeline management, outreach sequencing, and deal desk operations
• Identify and eliminate revenue leakage points across the sales funnel using AI-driven diagnostics and automation
• Build and maintain intelligent workflows that surface actionable insights to revenue teams in real time

End-to-End Testing & Quality Assurance

• Architect and implement AI-driven E2E testing frameworks across core GTM platforms including Salesforce, various Learning Management Systems (LMS), and Workday
• Automate regression testing, data validation, and integration health checks to ensure system reliability across the GTM tech stack
• Reduce manual QA overhead by building self-healing test suites powered by LLM-based agents

Platform Integration & Orchestration

• Develop and maintain integrations between Salesforce, Workday, LMS platforms (e.g., Cornerstone, Docebo, Lessonly), and other GTM tools using APIs, webhooks, and AI orchestration layers
• Build agentic workflows using frameworks such as LangChain, CrewAI, AutoGen, or similar to handle complex, multi-step business processes autonomously
• Ensure data consistency, security, and compliance across all integrated systems

Revenue Intelligence & Insights

• Use AI/ML to analyze pipeline data, forecast accuracy, rep performance, and customer health signals
• Build dashboards and automated alerting systems that proactively flag revenue risks and opportunities
• Partner with RevOps and Sales leadership to translate data insights into executable GTM strategies

Enablement & Collaboration

• Collaborate with Enablement teams to automate training delivery, knowledge assessment, and onboarding workflows within LMS platforms
• Document solutions, create internal tooling guides, and evangelize AI-first approaches across the organization
• Act as an internal AI advisor, helping teams identify new use cases and evaluate emerging tools

What You Bring

Required

• 3+ years of experience in a GTM Engineering, Revenue Operations, Sales Engineering, or similar technical role, with at least 2 years focused on AI/ML solutions
• Proven track record of leading and delivering complex AI initiatives in a GTM or RevOps context
• Hands-on experience building with LLMs and AI agents (OpenAI, Anthropic, Gemini, or similar)
• Strong proficiency with Salesforce (Apex, SOQL, Flow, APIs) and experience automating CRM workflows
• Experience with Workday and/or LMS platform integrations and APIs
• Proficiency in Python and/or JavaScript/TypeScript for building automation and integrations
• Familiarity with agentic AI frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, etc.)
• Experience designing and implementing E2E testing frameworks (Selenium, Playwright, Cypress, QMetry, or AI-native equivalents)
• Strong understanding of REST APIs, webhooks, and data pipelines

Preferred

• Experience with prompt engineering and fine-tuning LLMs for domain-specific tasks
• Familiarity with vector databases (Pinecone, Weaviate, Chroma) for RAG-based applications
• Knowledge of GTM tools such as Outreach, Gong, ZoomInfo, HubSpot, or Marketo
• Background in Revenue Operations, Sales, or Customer Success
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)