OpenAI

Brand Manager

• Build and operate OpenAI’s global brand protection program.
• Monitor and respond to misuse of OpenAI brands across websites, social media, marketplaces, app stores, advertising platforms, and emerging online ecosystems.
• Develop and manage programs to protect OpenAI products, services, and associated brands.
• Coordinate investigations and enforcement efforts across online and offline channels.
• Partner with product, marketing, security, trust & safety, and legal teams to address brand abuse and emerging threats.
• Develop enforcement playbooks, prioritization frameworks, and escalation processes.
• Manage relationships with brand protection vendors, monitoring providers, and enforcement partners.
• Build scalable operation infrastructure capable of supporting OpenAI’s rapidly growing brand portfolio.

Brand Protection Manager

Human Resources

• Set and execute the strategy for Employee Relations and Investigations, including the team’s mandate, service model, escalation paths, governance, operating rhythms, and measures of success.
• Lead, develop, and scale a team of experienced ER and investigations professionals; establish clear quality standards, decision frameworks, and coaching practices that produce consistent, defensible outcomes.
• Oversee the intake, triage, investigation, and resolution of the company’s highest-risk and most sensitive workplace matters, including allegations of harassment, discrimination, retaliation, misconduct, conflicts of interest, workplace violence, and other policy violations.
• Personally advise on or lead matters involving senior leaders, significant reputational or legal risk, cross-functional complexity, or novel questions; ensure investigation strategy matches the risk, sensitivity, confidentiality, and facts of each case.
• Establish rigorous, fair, and trauma-informed investigation practices, including evidence review, interviewing, credibility assessments, documentation, findings, recommendations, and appropriate follow-through.
• Own the broader ER framework across performance management, workplace conflict, disciplinary action, accommodations and leave-related escalations, employee concerns, separations, and other critical moments in the employment relationship.
• Serve as a trusted advisor to executives, people leaders, and HR Business Partners, helping them make principled, timely, and well-calibrated decisions under ambiguity.
• Partner closely with Employment Legal, Compliance, Security, People Operations, and HR leadership to assess risk, manage claims or regulatory matters, and ensure practices reflect applicable laws and OpenAI’s policies and values.
• Build scalable policies, playbooks, case-management practices, and decision tools that improve consistency and transparency while preserving the judgment required for complex situations.
• Use case data, employee signals, and trend analysis to identify systemic issues, surface emerging risk, and recommend proactive interventions to leadership.
• Develop and deliver practical training for leaders, managers, HR partners, and employees on respectful workplace expectations, investigations, performance management, conflict resolution, and manager accountability.
• Represent the ER and Investigations perspective in major people programs, organizational changes, and culture initiatives so that employee experience, fairness, and risk are considered early.

Senior Director, Employee Relations – Investigations

Product Marketing

• Create a reliable GTM data foundation that makes SFDC easier to use and ensures leads, accounts, and opportunities are accurately routed, defined, enriched, and actionable.
• Design and manage lead and campaign routing; define requirements and partner with systems and marketing ops on build.
• Implement alerting, monitoring, and reporting to ensure routing accuracy and responses.
• Drive data quality and enrichment strategy across core GTM objects.
• Establish cross-object definitions, ownership, source-of-truth standards, and governance for SFDC fields, layouts, process changes, and field feedback on data and routing issues.
• Create a clean, scalable account and territory foundation that aligns coverage with market opportunity and enables efficient selling.
• Own account structure (parent/child), TAM integrity, and Salesforce account data health.
• Drive territory design process and execution as part of fiscal planning cycles.
• Manage account ownership, book movements, and territory adjustments.
• Define account hierarchy, account team structures, and rules of engagement across segments, overlays, and global coverage.
• Drive consistent, high-quality pipeline execution through standardized processes, automation, and governance.
• Own opportunity design (stages, required fields, inspection criteria).
• Enforce pipeline governance (accuracy, staleness, coverage, generation health).
• Build workflows and automations (e.g., AI-assisted field population) to increase rep productivity.
• Monitor and drive adherence to process; partner with enablement on rollout and adoption.
• Capture and operationalize competitive intelligence within systems.
• Own operating cadences for work intake, prioritization, systems planning, process health, change management, and delivery of systems improvements (“sales paper cuts”).
• Design and scale the operational systems that move priority revenue motions from commercial commitment through delivery and customer value.
• Design and test processes, systems, and seller workflows for consumption-based motions, including opportunity-to-delivery handoffs and readiness requirements.
• Define the SFDC objects, stage requirements, rep surfaces, and visibility needed to support delivery and value realization.
• Support the buildout of Commercial Operations and Q2B workflows, including RFP/RFI responses, security questionnaires, vendor onboarding, compliance requests, insurance requests, and signature routing.
• Develop tooling, SLAs, and visibility across Legal, Deal Desk, and Security to reduce deal friction and improve customer experience.
• Ensure sellers have the processes, training, access, and system readiness needed to execute successfully as products, programs, pricing, and roles evolve.
• Partner with launch owners to translate product, program, and pricing changes into operational requirements, system workflows, and field enablement.
• Improve seller lifecycle operations, including onboarding, role changes, book allocation, systems access, and in-product guidance.
• Drive rollout, adoption, change management, and feedback loops for new processes and tools.

GTM Process – Operations

General

• Build and lead a team of the foremost technical and troubleshooting experts at OpenAI. You are the last line of defense before the core Engineering team.
• Partner with engineering and customer teams to build out our systems to ensure that we resolve escalated issues. You will engage with senior leaders internally or with customers and coordinate resources across multiple teams as needed.
• Take learnings from resolving customer issues and operationalize those solutions at scale, iterating on internal processes with Engineering/Go-To-Market/vendor partners, influencing product roadmaps, and improving overall customer experience with support.
• Manage scaling and operations of the team in order to deliver 24x7 coverage globally, including holidays and weekends based on business needs.
• Build strong relationships with our customers to ensure their application’s success.
• Ensure the team is assisting broadly where needed beyond the ‘core remit’ of the team
• Be a part of the broader leadership team in Support. You will have the opportunity to build not just within this team, but across the organization.

Support Delivery Lead, Ads

Support Delivery Lead

Solutions Engineer

• Lead, coach, recruit, and develop a team of Client Partners and Customer Success Managers
• Formulate strategies for regional expansion
• Own regional revenue goals and business performance
• Develop and execute the EMEA commercial strategy
• Partner with sales and customer success leaders for customer engagement
• Build and maintain executive-level relationships with key advertisers
• Drive forecasting, pipeline management, and business reviews
• Serve as the voice of the EMEA market to internal teams
• Collaborate cross-functionally for product launches and market initiatives
• Establish scalable processes for growth
• Represent OpenAI’s advertising offering externally

Regional Sales Manager, Ads Solutions

Marketing

• Partner with Sales, advertisers, and agencies to shape learning agendas, interpret results, and improve media performance.
• Apply rigorous advertising measurement approaches across attribution, incrementality, marketing mix modeling, and other relevant methodologies.
• Develop scalable measurement programs and guidance that improve decisions and adoption of rigorous measurement practices.
• Collaborate across Product, Engineering, Data Science, and Partnerships to translate advertiser needs into durable measurement capabilities.
• Work effectively with measurement partners and industry stakeholders to support advertiser adoption and strengthen trust in OpenAI Ads.
• Communicate complex concepts clearly and uphold high standards for privacy, quality, transparency, and responsible interpretation.

Marketing Scientist

Data Scientist

• Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions.
• Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems.
• Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy.
• Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-to-pay questions.
• Translate technical work into crisp executive recommendations and practical operating guidance for cross-functional teams.
• Identify where a dedicated pricing data science function can create repeatable leverage, helping define the roadmap, standards, and future operating model for the team.

Founding Data Scientist, Pricing & Monetization

Threat Intelligence Specialist

• Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface early, weak, or unconventional indicators
• Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time
• Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts
• Analyze risk trends to assess the underlying drivers and causal factors behind those changes
• Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems
• Design adversarial scenarios, and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities
• Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams

Quantitative Intelligence Analyst

Collections

• Manage a portfolio of premier, strategic, and high-touch customer accounts across the U.S. and key regional AR work areas, ensuring timely collections, clear communication, and a white-glove customer experience.
• Support collections coverage across key regional areas of AR work, including payment follow-up, documentation requirements, portal submission workflows, tax or invoicing considerations, dispute coordination, and escalation management.
• Support new channel success, including marketplace, partner, reseller, agency, ads, and other non-standard billing or collections motions across priority customer segments.
• Perform credit reviews and customer risk assessments within established frameworks, including payment history, exposure, credit limits, terms, and escalation recommendations.
• Drive resolution of complex AR and customer finance issues by coordinating the right owners, clarifying blockers, aligning on next steps, and escalating risks that affect collections outcomes or customer experience.
• Help run disciplined AR operating cadences across assigned portfolios and queues, including prioritization, ownership, escalation routing, and follow-through to resolution.
• Monitor portfolio health and collections performance through AR aging, DSO impact, dispute trends, queue performance, and follow-up effectiveness, turning trends into clear actions.
• Improve collections coverage and predictability by surfacing stalled accounts, recurring blockers, AR process gaps, and handoff issues that impact cash collection or customer experience.
• Partner with internal teams and external partners to scale consistent collections coverage, improve collections productivity, and drive measurable cash outcomes across assigned portfolios.
• Partner with Sales, Customer Success, Deal Desk, Billing Operations, Legal, Accounting, Cash Application, and Finance Systems to unblock customer payment issues and align account strategy.
• Track and communicate account status, risk items, next steps, and ownership clearly across internal teams.
• Support month-end close, audit requests, reserve inputs, write-off recommendations, and control documentation as needed.
• Use data, systems, and AI-enabled workflows to improve account prioritization, follow-up quality, reporting, and operational efficiency.

Senior Credit & Collections

Operations

• Lead and evolve organizational design for our frontline operations across partner and vendor management, coaching teams to expand automation and deliver measurable capacity gains.
• Lead multi-site partner management, including commercial ownership, capacity planning and workforce management, QBRs, and performance recovery.
• Own end-to-end service governance for partner and vendor teams, including automation rate, cost to serve, first-response time, productivity, and quality.
• Set standards for how work gets done at scale, replacing one-off fixes with reusable systems.
• Upskill teams and partner with Automation Engineering, Support Engineering, and Fraud & Risk to embed LLM-powered tools into frontline workflows.

Support Operations Manager

Product Operations

• Design, build, and own scalable systems for launch readiness, feedback capture, triage, synthesis, and routing.
• Coordinate product launches across internal User Operations teams and external third party teams to ensure seamless execution and support readiness.
• Develop and implement scalable feedback loops between support teams and product/engineering teams, ensuring customer insights are integrated into product development and strategy.
• Serve as the voice of the user, advocating for their needs and pain points in product and engineering discussions.
• Collaborate with cross-functional teams (e.g., Product, Engineering, Marketing, and Operations) to align on product launch goals and timelines.
• Lead efforts to document and standardize launch procedures, ensuring they are easily repeatable and scalable as the product line grows.
• Monitor post-launch performance, gathering data from support teams to evaluate product impact and inform future improvements.
• Identify potential risks and challenges during product rollouts, proposing solutions to mitigate disruptions to customer service.
• Regularly report on the performance of the feedback loop, including key insights, trends, and actionable recommendations for the product roadmap.

Product Engagement Specialist, User Operations

• Lead a team coordinating product launches across internal and external teams, ensuring seamless execution and support readiness.
• Set the team’s strategy and priorities, translate them into clear goals and quality standards, and allocate capacity to deliver against them.
• Build a high-performing team through ongoing coaching, feedback, development, and performance management.
• Build scalable feedback loops between support, Product, and Engineering so customer insights inform product development and strategy.
• Advocate for users by representing their needs and pain points in product and engineering discussions.
• Partner with Product, Engineering, Marketing, and Operations to align on launch goals and timelines.
• Monitor post-launch performance and gather support data to assess product impact and inform improvements.
• Document and standardize launch procedures to make them repeatable and scalable.
• Identify launch risks and propose solutions that minimize disruption to customers.
• Report on feedback-loop performance, including key insights, trends, and recommendations for the product roadmap.

Product Engagement Manager, User Operations

• Work closely with Business, Product and Marketing Strategy to develop and execute marketing campaign plan that align with business goals and span paid, owned and earned channels
• Own the end-to-end planning and execution of integrated campaigns - from brief and conceptual development to stakeholder alignment, flawless execution, launch and post-campaign analysis
• Partner with Creative Teams - both internal and agencies - to cultivate the right space for creative risk taking in service of iconic work
• Partner closely with teams across Product, Product Marketing, GTM, Comms, and Global Affairs to bring campaigns to life for maximum impact

Integrated Marketing Manager

Investigator

• Lead complex SMS investigations to proactively identify and mitigate risks to unreleased products, prototypes, confidential hardware, secure manufacturing programs, and launch-readiness efforts.
• Investigate unauthorized disclosure, suspected leaks, insider risk, supplier compromise, vendor misconduct, theft, diversion, tampering, counterfeiting, surveillance, adversarial collection, and suspicious activity involving sensitive programs.
• Connect digital evidence, physical access activity, supply chain records, manufacturing data, vendor behavior, employee activity, collaboration metadata, procurement records, shipping data, and OSINT into clear findings and risk-reduction actions.
• Conduct proactive threat hunting to surface early indicators of compromise, collection, leakage, or insider activity affecting sensitive programs.
• Develop investigative playbooks, evidence-handling standards, escalation paths, reporting mechanisms, and recurring-risk feedback loops tailored to secure manufacturing and stealth environments.