About the job
This role sits at the intersection of Revenue Operations, AI product development, systems design, and workflow engineering. You will work directly with Sales, Solutions, RevOps, and GTM leadership to identify high-leverage operational problems and rapidly prototype and deploy AI-powered solutions using OpenAI’s products, APIs, Codex, and automation platforms. You will act as both a builder and operator — deeply understanding GTM workflows while designing practical AI systems that improve field productivity, operational scale, forecasting quality, account planning, pipeline management, customer execution, and internal decision-making.
Responsibilities
Identify opportunities where AI can improve the quality, speed, scale, and effectiveness of GTM operations and field execution
Design and deploy AI-native workflows that combine agents, automation, systems integrations, and human review
Build internal tooling and operational accelerators using OpenAI APIs, Codex, Salesforce, automation platforms, and lightweight applications
Rapidly prototype and iterate on solutions that improve forecasting, pipeline management, account planning, territory operations, deal execution, customer insights, and productivity
Partner directly with Sales, Solutions, RevOps, Systems, Finance, and Enablement teams to operationalize AI into day-to-day workflows
Build reusable “golden workflows,” templates, and operational tooling that can scale across the GTM organization
Translate operational pain points into practical AI-enabled systems and automation opportunities
Help define best practices, governance, and guardrails for deploying AI within GTM operational workflows
Drive adoption through hands-on training, pair building sessions, documentation, and direct collaboration with operators
Serve as a strategic thought partner to GTM leadership on how AI can reshape operational processes and field productivity
Qualifications
Minimum
5+ years in Revenue Operations, Sales Operations, Business Systems, Workflow Engineering, Solutions Engineering, Product Operations, or related roles
Experience building internal tools, workflow automations, AI-powered systems, or operational infrastructure
Familiarity with APIs, automation frameworks, lightweight scripting, or AI workflow tooling
Experience working with GTM systems such as Salesforce, analytics tooling, forecasting systems, or workflow platforms
Strong analytical and operational problem-solving skills
Experience deploying systems used by operators in production environments
Ability to balance rapid experimentation with scalable operational design
Preferred
Have a strong systems and product mindset and enjoy turning ambiguous business problems into scalable solutions
Are excited about applying frontier AI capabilities to real operational and go-to-market workflows
Enjoy building practical systems quickly and iterating directly with users
Can deeply understand business processes while also thinking technically about architecture, integrations, and workflow design
Are comfortable operating across technical and non-technical stakeholders
Have experience with CRM systems, RevOps workflows, forecasting processes, analytics tooling, or GTM operations
Have experience building automations, internal tools, integrations, or AI workflows in production environments
Are highly analytical and comfortable using data to drive operational decisions
Thrive in ambiguity and can prioritize high-impact opportunities across multiple stakeholders
Have experimented with AI-native development tooling such as Codex, agents, workflow orchestration tools, or automation platforms