RevOps Automation and AI Prompt Engineer in Blazestack

Blazestack is a forward-thinking technology company dedicated to delivering mission-critical software solutions that enhance public safety teams using cutting-edge AI capabilities. Our company is focused on building cloud-native applications that integrate AI workflows to provide real-world impact for essential services. Within the organization, the RevOps Automation & AI Engineer will join the Revenue Operations (RevOps) team, centered around improving internal efficiency for Sales, Marketing, and Customer Success departments, as well as embedding advanced AI functionalities in our customer-facing products. The role supports Blazestack’s mission by driving seamless integration of data, automation, and AI-powered workflows, ultimately enhancing both internal operational performance and the value delivered to clients.

This posting is original from the Get on Board platform.

We are looking for a prompt and automation engineer with strong expertise in automation platforms and Revenue Operations tooling who can bridge the gap between GTM teams and technology systems. The ideal candidate has hands-on experience with tools such as Zapier, Make, n8n, and Pipedream to automate workflows efficiently across Sales, Marketing, and Customer Success. Mastery of RevOps stack products including HubSpot, Salesforce, Gong, Outreach, and Gainsight is essential.

Candidates should demonstrate strong skills in building SaaS metrics dashboards covering ARR, churn, and expansion revenue, and have comfort integrating via RESTful and GraphQL APIs along with scripting abilities in Python or JavaScript. Experience in prompt engineering and orchestrating large language model workflows is required, working with platforms such as OpenAI, Anthropic, LangChain, and HuggingFace. Familiarity with multi-agent workflow orchestration (e.g., using CrewAI, LangGraph, or AutoGen) and solid understanding of data structures and transformations (JSON, CSV, webhooks) are critical.

The role requires excellent communication and collaboration skills to work cross-functionally with GTM, product, and engineering teams. The ability to prioritize tasks, troubleshoot issues quickly, and innovate using new AI-driven approaches is essential to the success in this role.