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 youll do:
Design, build, and maintain production-grade AI workflows and automations to streamline GTM execution (e.g., lead enrichment, routing, research, follow-ups, CRM hygiene, and customer handoffs)
Develop and deploy LLM-based solutions, including prompt-driven workflows, reusable prompt libraries, and AI agents embedded within business systems
Build and maintain integrations and data pipelines across CRM, marketing automation, enrichment tools, and internal systems to ensure reliable, connected data across the funnel
Own workflow performance, review success metrics, iterate and demonstrate business impact.
Build and maintain AI-assisted pipeline inspection tools to give RevOps and Sales Leadership real-time visibility into deal health
Identify opportunities to reduce manual work and improve efficiency across RevOps, Sales, Marketing, and Customer-facing teams
Partner with cross-functional stakeholders to map processes, identify bottlenecks, and prioritize high-impact automation opportunities
Drive adoption through enablement: documentation, training, and ongoing feedback loops
Evaluate and implement new tools and technologies based on ROI, scalability, and maintainability
Requirements: 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
This position is open to all candidates.