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Revenue Operations Lead

The OpenAI Deployment Company· Revenue Operations
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Hybrid (Global)$160k - $295kFull-timePosted 2mo ago

About the role

Foundational revenue operations leader charged with building DeployCo's commercial operating system from inception through scale, turning a high-ambiguity enterprise deployment motion into a repeatable, data-driven, AI-native revenue engine. Strategic partner to leadership, architect of systems and process, and hands-on builder shaping pipeline, forecasting, governance, and executive reporting.

Responsibilities

  • Build and own DeployCo's Revenue Operations function, including GTM planning, forecasting, pipeline governance, capacity planning, compensation operations, revenue analytics, deal operations, and commercial systems.
  • Design, build, and manage the core operating rhythms for the business, including forecasting, pipeline council, deal reviews, MBRs/QBRs, board/investor reporting inputs, and executive operating reviews.
  • Own the source of truth for the commercial funnel, from opportunity intake through qualification, scoping, proposal, contracting, deployment, and expansion.
  • Partner with Finance and GTM leadership to translate company goals into segment-level targets, coverage models, hiring plans, productivity assumptions, and investment priorities.
  • Stand up the CRM and adjacent GTM systems architecture, ensuring clean data, strong process governance, scalable workflows, and reliable reporting for leaders and operators.
  • Translate recurring customer, field, and delivery patterns into structured inputs for product, enablement, partner strategy, and operating-model decisions.
  • Identify the highest-leverage operational constraints in the business and drive them to resolution across Sales, OpenAI GTM, Delivery, Product, Finance, Legal, Data, and Systems.
  • Build executive-grade dashboards and operating readouts that make performance, risks, tradeoffs, and priorities clear to DeployCo leadership, OpenAI leadership, and investors.

Qualifications

  • 10-15+ years of experience across Revenue Operations, GTM Strategy and Operations, Business Operations, Strategic Finance, Sales Operations, or related roles in high-growth technology, AI, enterprise software, infrastructure, or services businesses.
  • Experience building or materially scaling a commercial operating system in a high-ambiguity environment, ideally where segments, motions, metrics, systems, and cadences were being defined.
  • Strong judgment across GTM strategy, operating models, target setting, capacity planning, forecasting, pipeline management, and executive reporting.
  • Deep analytical skills with ability to translate messy data into clear recommendations, operating plans, and leadership decisions.
  • Systems instincts with experience in Salesforce or equivalent CRM, BI/reporting tools, workflow automation, data governance, and AI-enabled internal tooling.
  • Understanding of complex enterprise sales and delivery motions, multi-stakeholder buying committees, services-heavy deployments, partner involvement, custom scopes, non-standard deal structures, and long implementation cycles.
  • Ability to move between ideation and execution, defining long-term operating models while resolving current dashboard, workflow, forecast, or data issues.
  • Executive presence to influence senior stakeholders with clarity and rigor.
  • Thrives in fast-moving, ambiguous environments with broad ownership and high quality standards.
  • Energized by defining how AI-native revenue operations should function inside an enterprise AI deployment company.

Skills

Required:Revenue Operations leadershipCRM systems (Salesforce or equivalent)GTM strategy and forecastingData storytelling and executive reportingCross-functional collaboration
Last updated Aug 27, 2026. Interested? Apply on the company site.
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About The OpenAI Deployment Company

On the frontlines of AI deployment

OpenAI’s forward deployed engineering brings AI into production—partnering with teams to solve high-impact problems and build scalable systems.

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