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. Our client is a globally distributed, remote-first company building AI-powered infrastructure for business process automation. This is a fully remote role open to candidates in locations where our client operates.

You will join a small, high-impact GTM Systems team responsible for designing, building, and operating AI agents, LLM integrations, and automation workflows that connect go-to-market systems—removing manual work across Sales, Customer Success, Marketing, Partnerships, and Account Development functions. You'll own the AI and automation layer of a Salesforce-centric revenue stack, working closely with GTM leaders to deliver production-grade solutions iteratively.

Responsibilities

• Design, build, and operate AI agents, LLM integrations, and automation workflows connecting Salesforce, Gainsight, Slack, Salesloft, Clari, HubSpot, and other GTM systems to reduce manual work across revenue 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 including prompt engineering, RAG, function calling, structured outputs, and automated evaluations with appropriate guardrails: validation, fallback logic, confidence thresholds, human escalation, access controls, audit logging, and cost/latency management
• Partner with Revenue Operations, Sales, Customer Success, Marketing, and SDR/ADR leaders to identify automation opportunities, translate 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 enabling GTM teams to use and operate automations independently

What We're Looking For

Must Have:

• 5+ years of software engineering experience (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/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 problems 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 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 evaluation frameworks)
• Familiarity with workflow 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

Get A Job.ai represents top-tier candidates to our confidential clients. When you apply through our platform at getajob.ai, our talent team will review your background and conduct an initial screening. Qualified candidates will be submitted directly to our client for consideration. We ask that you do not contact the client directly, as all communication and coordination will flow through Get A Job.ai to ensure the best candidate experience.

Pay

Compensation details will be shared by our recruiting team after initial screening and will reflect the client's competitive, location-based salary structure.

Equal Employment Opportunity: Get A Job.ai is committed to creating an inclusive recruiting experience. We welcome applications from all qualified candidates regardless of gender, race, ethnicity, religion, sexual orientation, age, disability, or other protected characteristics.