Role overview
We are looking for a hands-on GTM AI Engineer to design, build, and deploy AI-powered workflows and automations across our go-to-market (GTM) systems.
This role sits at the intersection of business operations and technology, and acts as the engine behind revenue intelligence, process automation, and scalable pipeline generation systems.
You will be a technical force multiplier for our GTM team including creating workflows, agents, and integrations, embedded directly into core business systems (e.g., CRM, marketing automation, support tools).
This is not a traditional software engineering role, but it requires strong technical execution and ownership across the full lifecycle.
What you'll work on
- 4–7 years of experience in Business Systems, RevOps systems, Data/Systems Engineering, or similar hands-on technical roles
- Proven experience building and deploying end-to-end workflows and automations in business environments
- Hands-on experience with LLM tools and prompt/workflow engineering, with a focus on reliability and real-world use cases
- Experience with automation/orchestration tools (e.g., workato) and/or agent frameworks
- Strong experience integrating and extending CRM systems (e.g., Salesforce), including workflows, data models, and system integrations
- Experience working with APIs, system integrations, and data flows across multiple platforms
- Experience supporting GTM / RevOps in a SaaS environment
- Strong analytical and problem-solving skills, with the ability to prioritize based on business impact
- High ownership and ability to operate independently from idea to production
- Strong communication skills and ability to work effectively with both technical and non-technical stakeholders
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Tags & focus areas
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