Senior GTM Systems AI and Automation Engineer

About This Opportunity

We are representing a confidential enterprise software organization in their search for a Senior GTM Systems AI and Automation Engineer. This is a fully remote role supporting a Revenue Operations team that is building AI-powered infrastructure to connect go-to-market systems and eliminate manual work across Sales, Customer Success, Marketing, Partnerships, and Account Development functions.

You will join a small, high-impact GTM Systems team and take ownership of the AI and automation layer—designing and deploying agents, LLM integrations, MCP servers, retrieval pipelines, backend services, and workflow orchestration. You'll partner directly with GTM leaders to identify high-impact problems, scope solutions, and ship reliable, well-governed capabilities iteratively.

Responsibilities

• Design, build, and operate AI agents, LLM integrations, and automations that connect Salesforce, Gainsight, Slack, Salesloft, Clari, HubSpot, Impartner, and related GTM tools to reduce manual effort across revenue teams
• Own the architecture of the 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 including prompt engineering, RAG, function calling, structured outputs, and automated evaluations with proper guardrails: validation, fallback logic, confidence thresholds, human escalation paths, access controls, audit logging, and cost/latency management
• Partner with Revenue Operations, Sales, Customer Success, Marketing, Partnerships, and SDR/ADR leaders to identify automation opportunities, translate ambiguous requirements into maintainable solutions, and deliver incrementally with clear documentation
• Raise the engineering bar through 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 and create playbooks so GTM teams can use and operate automations independently

What We're Looking For

Must Have:

• 5+ years of software engineering experience in backend development, systems integration, data/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 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
• Experience 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 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 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 and prior work in Revenue Operations, GTM Systems, Sales Operations, or Marketing Operations in B2B SaaS
• Experience building lightweight interfaces for AI tools (React, Slack Block Kit, dashboards); Salesforce certifications (Platform Developer I/II, Integration Architect)

How We Work with You

Candidates apply directly through Get A Job.ai. Our recruiting team conducts an initial screening to understand your background and confirm fit. We then submit qualified candidates to our client for consideration. Please do not attempt to contact the client directly, as all communication is managed through our talent team to ensure a smooth and professional process.

Pay

Compensation details will be discussed during the screening process and are based on skills, experience, and location.

Equal Employment Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic.