AI Workflow & Operations, Revenue Strategy & Operations

OpenAI OpenAI · AI Frontier · San Francisco, CA · Go To Market

This role focuses on designing and building AI-native workflows, automations, and internal tools to accelerate OpenAI's Go-To-Market (GTM) organization. The engineer will work at the intersection of Revenue Operations, AI product development, systems design, and workflow engineering, using OpenAI's products and APIs to solve operational problems in areas like forecasting, pipeline management, and customer execution. The goal is to create practical AI systems that improve field productivity and operational scale.

What you'd actually do

  1. Identify opportunities where AI can improve the quality, speed, scale, and effectiveness of GTM operations and field execution
  2. Design and deploy AI-native workflows that combine agents, automation, systems integrations, and human review
  3. Build internal tooling and operational accelerators using OpenAI APIs, Codex, Salesforce, automation platforms, and lightweight applications
  4. Rapidly prototype and iterate on solutions that improve forecasting, pipeline management, account planning, territory operations, deal execution, customer insights, and productivity
  5. Partner directly with Sales, Solutions, RevOps, Systems, Finance, and Enablement teams to operationalize AI into day-to-day workflows

Skills

Required

  • 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

Nice to have

  • Strong systems and product mindset
  • Excited about applying frontier AI capabilities to real operational and go-to-market workflows
  • Enjoy building practical systems quickly and iterating directly with users
  • Comfortable operating across technical and non-technical stakeholders
  • Highly analytical and comfortable using data to drive operational decisions
  • Thrive in ambiguity and can prioritize high-impact opportunities across multiple stakeholders

What the JD emphasized

  • AI-native internal tooling and workflows
  • AI-powered solutions using OpenAI’s products, APIs, Codex, and automation platforms
  • AI-native systems
  • AI-enabled systems and automation opportunities
  • deploying AI within GTM operational workflows
  • AI-native development tooling such as Codex, agents, workflow orchestration tools, or automation platforms

Other signals

  • AI-native internal tooling and workflows
  • AI-powered solutions using OpenAI’s products, APIs, Codex, and automation platforms
  • AI-native systems
  • AI-enabled systems and automation opportunities
  • deploying AI within GTM operational workflows
  • AI-native development tooling such as Codex, agents, workflow orchestration tools, or automation platforms