OpenAI

Solutions Engineer

• Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
• Demonstrate how leveraging OpenAI APIs and ChatGPT can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.
• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.
• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.
• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

Solutions Engineer – Pre-Sales

Solutions Engineer, Pre-Sales

People Operations

• Leverage our engineering stack, be creative and automate manual data analytics and reporting processes.
• Conduct data gathering, reporting and analysis needs for Executive Business Reviews and ad-hoc deep dives.
• Own preparation of reporting and slide-ready data exports for Executive Business Reviews.
• Work with cross-functional stakeholders (People Systems, Finance, Data Platform, Recruiting Operations and more) to prepare, validate, and document datasets used for People reporting.
• Help build and automate recurring reporting based on existing frameworks and stakeholder feedback.
• Partner with data warehouse engineering and data stakeholders to improve accuracy, freshness, lineage, and robustness of core People datasets.
• Develop ad hoc data pipelines and rigorous data validations to support high-stakes executive reporting and deep-dive analyses.

People Data Automation Analyst

Director

• Own the global Accenture alliance P&L, including revenue growth, deployment velocity, and long-term expansion.
• Run OpenAI’s operating model for the Alliance across joint enterprise programs.
• Serve as OpenAI’s senior executive counterpart to Accenture’s global leadership.
• Set joint priorities, resolve escalations, and drive coordinated execution at scale.
• Direct allocation of OpenAI’s research, product, and GTM resources across Accenture-led engagements.
• Govern Accenture’s access to tiered OpenAI benefits, including engineering engagement, roadmap collaboration, co-build initiatives, and GTM priority, tied to performance.
• Lead co-selling and execution of large, complex enterprise AI Cloud transformation opportunities.
• Engage directly with enterprise executives across procurement, security, legal, risk, and technology functions.
• Ensure Accenture delivers OpenAI enterprise products as part of consulting cycles from strategy through long-term operations.
• Enforce delivery quality, certification standards, and conflict-of-interest guardrails across Accenture’s global workforce.
• Define vertical strategy and lighthouse account selection across priority industries.
• Stand up OpenAI’s dedicated Accenture alliance team across partner management, technical success, enablement, and operations.
• Build leadership bench strength and establish a durable cadence for alliance execution.

Partner Director – Global Accenture Alliance

Account Executive

• Manage a ~dozen key accounts, developing and executing strategies for a comprehensive account plan
• Lead our enterprise prospects’ journeys from consideration to successful deployment
• Partner with solutions and research engineering to build and execute complex customer programs and projects
• Own a consumption revenue target
• Manage consumption revenue forecasts
• Analyze key account metrics to create reports and provide insights to internal and external stakeholders
• Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies
• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering
• Support the recruitment and onboarding of other teammates
• Support the development of company culture

Account Director – Digital Native

• Manage a small number of key accounts, developing and executing strategies for a comprehensive account plan
• Lead our prospects’ journeys from consideration to successful deployment
• Partner with solutions and research engineering to build and execute complex customer programs and projects
• Own a consumption revenue target
• Manage consumption revenue forecasts
• Analyze key account metrics to create reports and provide insights to internal and external stakeholders
• Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies
• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering
• Support the recruitment and onboarding of other teammates
• Support the development of company culture

Account Director – Large Enterprise

DevOps Engineer

• Deliver an exceptional partner experience by providing technical expertise, scoping use cases, and supporting the development of Apps in ChatGPT and commerce checkout experiences with technical stakeholders and strategic partners.
• Partner with our Partnerships team to design and support ecosystem integrations, ensuring technical feasibility and high-impact launches.
• Guide partners on best practices for leveraging the OpenAI API and ChatGPT to create secure, scalable, and differentiated experiences.
• Serve as the first line of defense for design, security, compliance, and architecture questions, escalating complex requirements to internal experts as needed.
• Create and maintain documentation, implementation guides, and FAQs for common partner requirements and technical challenges.
• Gather partner feedback and represent the voice of the ecosystem to internal teams, helping shape product roadmaps and future partner programs.

AI Deployment Engineer – ChatGPT Ecosystem

Full-stack Engineer

• Design and build backend systems that ensure ads and advertisers meet safety, trust, and compliance standards.
• Develop mechanisms to verify advertiser identity (“know your customer”) and assess advertiser risk.
• Build and improve systems that evaluate ad content and landing pages for user safety and policy compliance.
• Help determine where and how ads are shown, ensuring placements are appropriate, contextual, and aligned with user trust—especially in conversational AI surfaces like ChatGPT.
• Partner cross-functionally with Core Ads, Integrity, and Personalization teams to balance growth goals with safety constraints.
• Contribute to ML and LLM-adjacent systems that support automated decision-making, classification, and risk detection.
• Shape technical direction, architecture, and best practices as the Ads Integrity organization scales.

Software Engineer, Ads Integrity

• Serve as the primary technical subject matter expert on OpenAI Codex for a portfolio of customers, embedding deeply with them to enable their engineering teams and build coding workflows.
• Partner directly with customers to design and implement AI-enhanced development workflows, from rapid prototyping through scalable production rollout.
• Build high-quality demos, reference implementations, and workflow automations, using Codex itself as part of your development process.
• Lead large-format workshops, technical deep dives, and hands-on enablement sessions that help engineering organizations adopt AI coding tools effectively and safely.
• Contribute technical content including examples, guides, patterns, and best practices to the OpenAI Cookbook to help the broader developer community accelerate their work with Codex.
• Gather high-fidelity product insights from real customer deployments and translate them into clear product proposals and model feedback for internal teams.
• Influence customer strategy and decision-making by framing how AI coding tools fit into their SDLC, technical roadmap, and organizational workflows.
• Serve as a trusted advisor on solution architecture, operational readiness, model configuration, security considerations, and best-practice adoption.

AI Deployment Engineer – Codex

Artificial Intelligence

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization.
• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio.
• Conduct technical enablement and configuration sessions across our broad product portfolio.
• Identify and validate use cases by embedding with customer teams to understand workflows and pain points.
• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning.
• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities.
• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs.
• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes.
• Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting.
• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement.
• Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business.
• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

AI Success Engineer

• Own and continuously improve People Operations across the full employee lifecycle, ensuring scalable, compliant, and employee-centered processes globally.
• Lead and develop a high-performing People Operations team, setting clear standards, driving accountability, and building strong operational judgment.
• Own the integrity of employee data end-to-end, proactively identifying gaps, risks, and failure points before they impact compliance, reporting, or employee trust.
• Design, document, and rigorously test critical People processes and internal controls, with a strong focus on SOX readiness, auditability, and long-term scalability.
• Serve as a senior operational partner to Finance, Legal, IT, Security, and the broader People leadership team, translating business needs into durable people infrastructure.
• Oversee HR systems and vendors (e.g., HRIS, payroll, benefits administration), ensuring they meet the needs of a rapidly growing, global organization.
• Lead operational readiness for growth events such as new entities, new geographies, workforce changes, and evolving regulatory requirements.
• Establish clear operating rhythms, metrics, and reporting to surface risks, trends, and opportunities early.
• Act as a steady, trusted leader during moments of operational stress, change, or ambiguity.

Director, People Operations

• Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.
• Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.
• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.
• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.
• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.
• Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

AI Deployment Engineer

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization
• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio
• Conduct technical enablement and configuration sessions across our broad product portfolio
• Identify and validate use cases by embedding with customer teams to understand workflows and pain points
• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning
• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities
• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs
• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes
• Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting
• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement
• Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business
• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

Account Manager

• Own the health, performance, and long-term scalability of multiple support partner and vendor relationships.
• Drive commercial and operational accountability (SLAs, QBRs, escalation paths, remediation plans), while building the operating model that enables support to scale without linear headcount growth.
• Establish the WFM approach across internal and BPO teams (forecasting, capacity planning, staffing assumptions, coverage standards).
• Stand up a consistent planning cadence tied to business drivers (weekly/monthly/quarterly) and ensure partners operate to it.
• Produce clear, decision-ready reporting on vendor health, capacity risk, and scaling constraints; translate operational signals into recommendations for leadership.

Support Partner Manager

• Design, build, and maintain web applications for external customers.
• Design, build, and maintain internal tools used across hardware, research, design, operations, and software teams.
• Rapidly prototype and iterate on new tools in close collaboration with stakeholders.
• Architect and deliver full-stack solutions with a strong emphasis on usability and security.
• Evaluate third-party and open-source solutions and make sound build vs. buy decisions.
• Establish best practices for internal tooling, including code quality, reliability, and security.

Solutions Engineer – Pre-Sales

Solutions Engineer, Pre-Sales

People Data Automation Analyst

Partner Director – Global Accenture Alliance

Account Director – Digital Native

Account Director – Large Enterprise

AI Deployment Engineer – ChatGPT Ecosystem

Software Engineer, Ads Integrity

AI Deployment Engineer – Codex

AI Success Engineer

Director, People Operations

AI Deployment Engineer

AI Success Engineer

Support Partner Manager

Full-Stack Engineer, Consumer Products