Why This Job is Featured on The SaaS Jobs
This role sits in a part of the SaaS ecosystem that is increasingly defining competitive advantage: AI-native go to market operations. Rather than focusing on customer-facing product features, it targets the internal systems that determine how reliably a SaaS business can sell, forecast, and support adoption at scale. The remit signals a mature GTM function where tooling, data, and process design are treated as core infrastructure, with AI moving from experimentation into day to day execution.
For a SaaS career, the durable value is in learning how revenue engines are built and maintained across systems like CRM, analytics, and automation layers. Experience translating messy operational reality into deployable workflows tends to transfer across SaaS categories because the underlying problems recur: pipeline hygiene, planning cadence, decision latency, and cross functional alignment. The emphasis on rapid prototyping alongside governance also mirrors where many SaaS orgs are heading as AI capabilities expand faster than traditional process change.
This is best suited to professionals who like operating at the boundary between business operations and technical implementation, and who prefer measurable outcomes over abstract strategy. It will fit someone comfortable partnering with sales and revenue leaders, iterating with frontline users, and making pragmatic tradeoffs between speed, reliability, and control in production systems.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team
OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together to accomplish this.
In pursuit of this mission, our Go To Market (GTM) team helps customers deploy and realize value from OpenAI’s products across their businesses. The team spans Sales, Solutions, Support, Marketing, Partnerships, and Operations working together to scale AI adoption globally.
Within GTM, the Strategy & Operations organization builds the operational systems, workflows, analytics, and infrastructure that power the business. As AI rapidly transforms how work gets done, we are building a new class of AI-native internal tooling and workflows to accelerate productivity, improve decision-making, and scale execution across Sales, Solutions, and Revenue Operations.
About the Role
We are looking for an AI Workflow & Operations [engineer] to design and build AI-native workflows, automations, and internal tools that accelerate OpenAI’s GTM organization.
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.
This role is ideal for someone who enjoys translating ambiguous business problems into working AI-native systems and wants to help define how modern GTM organizations operate in an AI-first world.
In this role, you will:
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
You might thrive in this role if you:
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
Experience
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
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
