Executive Team Leader in United States

About the Team The DeployCo Deal Desk helps turn customer deployment opportunities into clear, executable professional-services engagements. We partner across Deployment, Sales, Legal, Finance, Technical Revenue, and Operations to ensure every deal has a well-defined scope, pricing aligned to approved guardrails, complete approvals, and a clean handoff to delivery. The team sits at the intersection of commercial execution and delivery readiness. We make complex services deals easier to buy—and easier to deliver—while strengthening the templates and workflows that help DeployCo scale. About the Role We are hiring a hands-on Professional Services Commercial Lead to own the end-to-end deal desk workflow for assigned DeployCo professional-services engagements. You will personally draft and revise statements of work (SOWs), validate pricing and deal inputs, coordinate cross-functional reviews and approvals, and ensure commitments are clear, deliverable, and ready to execute. The differentiator in this role is drafting expertise: you have written SOWs, not simply routed them. You can turn technical and delivery inputs into precise scope, deliverables, milestones, assumptions, dependencies, acceptance criteria, fees, and change controls—then keep the deal moving. This is an individual-contributor role for an experienced contract manager, deal desk professional, or professional-services commercial operator who combines strong writing and commercial judgment with disciplined execution. What You’ll Do Own assigned DeployCo deals from intake through approval, signature, and operational handoff. Draft and revise SOWs, work orders, and change orders using approved templates and playbooks; partner with Legal on non-standard contractual terms and redlines. Validate rate cards, fees, hours and resourcing inputs, discounts, margin inputs, billing milestones, and key deal data against approved inputs and guardrails; reconcile the SOW to the quote and route exceptions with a clear rec

About the Team OpenAI’s Finance and Revenue Operations organization builds the commercial infrastructure that enables the business to scale with speed, discipline, and financial integrity. Within Revenue Operations, Deal Desk partners closely with Sales, Partnerships, Product, Engineering, Legal, Technical Revenue, Finance, Billing, Order Management, and GTM Systems to turn complex commercial opportunities into executable, scalable transactions. About the Role We are hiring a Strategic Deals & Commercial Architecture Lead — Marketplaces & Partnerships to own the commercial architecture, execution, and governance layer for marketplace-enabled and partner-led transactions. This senior individual-contributor role is for someone who combines enterprise deal judgment, marketplace fluency, analytical rigor, and a builder mindset. You will take shaped opportunities from intake through approval and launch readiness, translating first-of-kind structures into clear economics, executable terms, quote-to-cash requirements, controls, and operating mechanisms. You will partner closely with teams that own business development and partner relationships; this role does not own partner sourcing, pipeline generation, or sales closing. You will support the commercial requirements for onboarding and integration without owning technical delivery. Success is measured both by the decisions and deals you enable and by the durable policies, systems, and controls you leave behind. This role is based in San Francisco, CA. We use a hybrid work model of three office days per week and offer relocation assistance. In This Role, You Will Lead the commercial architecture and execution of complex marketplace-enabled and partner-led enterprise transactions from intake through approval, contracting, launch readiness, and operational handoff. Structure private offers, pricing, fees, incentives, commitments, revenue share, credits, renewals, amendments, and other non-standard or multi-party terms

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads. As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, e

ABOUT THE TEAM The AI Foundations Team at Mural is pioneering how generative AI transforms visual collaboration and decision-making. We’re a remote-first group of engineers, designers, and product thinkers focused on helping teams work together more effectively. Our goal isn’t to replace human creativity. It’s to amplify it, building AI that enhances how people align, communicate, and make decisions visually. YOUR MISSION You will design and build the core AI systems and platforms that enable Mural’s next wave of agentic, AI-driven collaboration experiences. Rather than building isolated AI features, you’ll work on the core backend systems that power Mural’s agent platform, including agent orchestration, durable execution, contextual memory, tool integration, observability, and evaluation. Your work will enable intelligent agents to reason over product context, act on behalf of users, and operate reliably and safely at scale. Our stack at Mural includes Azure OpenAI, React, Node, MongoDB. WHAT YOU'LL DO Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy Champion engineering excellence, men

ABOUT THE TEAM The Scaled/Digital Customer Success team helps customers realize value from Mural through education, digital programs, and learning experiences at scale. This team plays a critical role in making high-quality customer education more personalized, accessible, and scalable. This role sits within our Scaled and Digital Customer Success team and reports to the Director of Customer Success. YOUR MISSION As a Customer Enablement Manager, your mission is to bring our customer enablement strategy to life through high-quality content, personalized learning experiences, and scalable programs. You will translate customer needs and product capabilities into clear, outcome-based learning journeys that help teams work better together and achieve real-world success with our platform. You will build and scale modern customer education programs that help customers adopt priority use cases, reduce time-to-value, and increase product confidence. WHAT YOU'LL DO Execute scalable education initiatives including self-guided, live, cohort-based, and peer-led learning experiences. Design outcome-based learning journeys and adaptive paths tailored to priority roles, use cases, and adoption milestones. Develop and maintain high-quality reusable content such as courses, guides, videos, templates, and interactive simulations. Partner cross-functionally with Product, Marketing, and CS to align education with launches and identify education gaps. Deliver internal enablement to CS Teams globally to ensure consistency in Customer Journey, Strategy Execution, and customer outcomes. Track and measure learning engagement, proficiency, and product adoption to continuously improve program effectiveness. WHAT YOU'LL BRING 3+ years of experience in customer education, instructional design, or scaled Customer Success, ideally in B2B SaaS. Proven ability to design modern learning experiences using microlearning, scenarios, and social learning principles. Strong content creation skills with th

About the Team OpenAI’s Agentic Data Science team helps shape how AI agents are built, deployed, and improved across our products. We partner with product, engineering, research, and security teams to define meaningful measures of success, understand how our systems behave in the real world, and translate evidence into better decisions. As AI agents become more capable, they can write and execute code, access sensitive systems, and complete increasingly complex tasks with greater autonomy. These capabilities create powerful opportunities to improve cybersecurity, but they also introduce risks that traditional security tools and processes were not designed to address. Meeting this moment requires new ways to measure security, evaluate defenses, and distinguish genuine risk reduction from friction that slows users down. About the Role We are looking for a senior data scientist to help define what effective cybersecurity looks like in the age of AI agents. You will work across OpenAI’s Security organization and cybersecurity product teams to measure emerging risks, improve internal security controls, and shape AI-powered security products. The problems are foundational: How do we know whether an agent’s security controls are effective? Which safeguards meaningfully reduce risk, and which create unnecessary friction? When an AI system identifies a potential vulnerability, how do we determine whether the finding is accurate, actionable, and ultimately resolved? How do we detect anomalous behavior or risky access when the systems themselves are changing rapidly? You will report into Data Science while partnering closely with Security, Cyber Product, Engineering, and Research. This is a high-ownership role for someone who can establish a new analytical discipline, operate across organizational boundaries, and turn ambiguous security challenges into measurable improvements. In This Role You Will Define how we measure AI-agent security. Establish metrics and evaluation frame

About the Team The DeployCo Deal Desk helps turn customer deployment opportunities into clear, executable professional-services engagements. We partner across Deployment, Sales, Legal, Finance, Technical Revenue, and Operations to ensure every deal has a well-defined scope, pricing aligned to approved guardrails, complete approvals, and a clean handoff to delivery. The team sits at the intersection of commercial execution and delivery readiness. We make complex services deals easier to buy—and easier to deliver—while strengthening the templates and workflows that help DeployCo scale. About the Role We are hiring a hands-on Professional Services Commercial Lead to own the end-to-end deal desk workflow for assigned DeployCo professional-services engagements. You will personally draft and revise statements of work (SOWs), validate pricing and deal inputs, coordinate cross-functional reviews and approvals, and ensure commitments are clear, deliverable, and ready to execute. The differentiator in this role is drafting expertise: you have written SOWs, not simply routed them. You can turn technical and delivery inputs into precise scope, deliverables, milestones, assumptions, dependencies, acceptance criteria, fees, and change controls—then keep the deal moving. This is an individual-contributor role for an experienced contract manager, deal desk professional, or professional-services commercial operator who combines strong writing and commercial judgment with disciplined execution. In this role, you will: Own assigned DeployCo deals from intake through approval, signature, and operational handoff. Draft and revise SOWs, work orders, and change orders using approved templates and playbooks; partner with Legal on non-standard contractual terms and redlines. Validate rate cards, fees, hours and resourcing inputs, discounts, margin inputs, billing milestones, and key deal data against approved inputs and guardrails; reconcile the SOW to the quote and route exceptions with a

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Order to Cash (OTC) team oversees the complete flow of commercial transactions from order intake and provisioning through billing, collections, and cash application — ensuring accuracy, compliance, and operational excellence in support of OpenAI’s mission to ensure artificial general intelligence benefits all of humanity. About the Role We are looking for a senior, hands-on operator to own Order Management and Billing execution across OpenAI’s cloud marketplace and partner ecosystem, including platforms such as AWS, GCP, Oracle Cloud, GovCloud, and future channels. This senior individual contributor role will translate partner requirements into scalable workflows and ensure launch readiness, accurate billing, and reliable daily execution. As a senior individual contributor within the Cloud Marketplaces team, you will own the end-to-end order-to-invoice lifecycle for your assigned portfolio. You will ensure that private offers, commercial terms, provisioning, pricing, usage, billing data, credits, settlements, and partner-specific reporting flow through our systems accurately, on time, and with audit-ready controls. You will implement and continuously improve the common cloud marketplace operating model, lead cross-functional execution for your assigned portfolio, and surface risks, requirements, and improvement opportunities. You will partner across Revenue Systems, Product, Engineering, GTM, Finance, Partner Operations, and external marketplace stakeholders. This role is critical to building the operational backbone for OpenAI’s expansion across cloud marketplaces and government-cloud channels. You will combine deep operational judgment with process and control execution, automation, clear communication, and hands-on problem solving to improve billing reliability, partner experience, customer outcomes, and financial integrity at scale. This role

About the team OpenAI's mission is to ensure that artificial general intelligence benefits all of humanity. In support of that mission, the ChatGPT Ads team is building advertising products that help businesses reach customers in useful, trusted, and responsible ways. The Ads Strategy, Planning, and Operations team is responsible for building the operating foundation for OpenAI's advertising business: GTM systems, segmentation, coverage, planning, forecasting, business rhythms, sales programs, incentives, and scalable execution across advertisers, agencies, partners, resellers, and internal teams. This team sits at the intersection of Sales, Product, Engineering, Finance, Legal, Policy, Marketing, Partnerships, and Customer Success. About the role We’re looking for a Sales Strategy & Operations Lead to help build the GTM operating system for ChatGPT Ads. This person will work across sales strategy, planning, systems, segmentation, forecasting, operating rhythm, sales programs, and commercial execution to help the Ads business scale with clarity, speed, and control. This role is for someone who can move between strategy and execution: able to define operating models, build analytical frameworks, run cross-functional planning processes, improve GTM systems and data quality, and program manage high-priority sales initiatives. The ideal candidate has meaningful experience in digital advertising, media, adtech, marketplace, or platform businesses and understands the complexity of scaling sales motions across direct sales, agencies, partners, resellers, outsourced channels, and self-serve. In this role, you’ll: Help build the operating foundation for ChatGPT Ads across GTM systems, segmentation, coverage, forecasting, sales planning, and business reviews. Partner with Sales, Ads Ops, Product, Engineering, Strategic Finance, Legal, Policy, Marketing, Partnerships, Customer Success, and Data teams to translate strategy into execution. Develop objective frameworks for ac

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to build and grow partnerships across the cybersecurity ecosystem. Reporting to the Cybersecurity Partnerships Lead, you will own a portfolio of cybersecurity technology partners and help them validate, launch, and scale solutions powered by OpenAI models and platforms. About the Role You are an experienced partnerships operator who combines business development, partner management, technical curiosity, and strong execution. You can manage external relationships while driving detailed cross-functional work across product, engineering, technical success, sales, marketing, legal, security, and operations. You move with urgency, follow through consistently, and are comfortable managing a portfolio in a fast-changing market. In this role, you will: Source, close and manage a portfolio of cybersecurity technology partners. Identify high-value use cases across security operations, identity, cloud security, application security, threat intelligence, governance, risk, and compliance. Develop partner plans covering integration, launch, enablement, co-marketing, co-sell, and growth. Support partnership structuring and coordinate product, technical, commercial, legal, and security workstreams. Help partners move from concept and technical validation to production launch and scaled customer adoption. Run regular partner reviews, track commitments, resolve blockers, and identify expansion opportunities. Coordinate closely with product, engineering, technical success, sales, marketing, legal, security, and operations. Measure partner pipeline, launches, model adoption, consumption, customer outcomes, and partner health. You might thrive in this role if you have: 8+ years of experience in partnerships, business development, alliances, partner success, or ecosystem roles. Experience in cybersecurity, enterprise software, cloud platforms, o

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We’re seeking a senior lawyer to participate in commercial legal strategy and execution across OpenAI’s fast-growing infrastructure portfolio. This is a cross-functional role that will partner closely with procurement, supply chain, partnerships, finance, and product teams to structure, negotiate, and manage the transactions that will support OpenAI’s long-term infrastructure ambitions. We’re looking for an experienced infrastructure transactions lawyer who thrives in ambiguity and wants to help define the commercial playbook for infrastructure efforts in the AI era. This role reports to the Associate General Counsel for infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3-days in the office per week and offer relocation assistance to new employees. In this role, you will: Own commercial legal strategy and risk management for OpenAI infrastructure transactions. Draft, negotiate, and advise on complex agreements with infrastructure suppliers, manufacturers, distributors, and technology partners. Support strategic partnerships involving AI infrastructure and hardware supply chains. Develop frameworks for procurement, licensing, and collaboration across the infrastructure ecosystem. Partner with finance and operations teams to align contract terms with business and compliance requirements. Collaborate with policy and regulatory colleagues on issues impacting global supply chains, export controls, and manufacturing. Build scalable, efficient contracting process

About the Team Equity Administration at OpenAI is responsible for the operational foundation of our equity programs. Our team ensures equity data and reporting are reliable, our systems and integrations are resilient, and our processes and controls are built to scale globally. We work cross-functionally with Legal, Finance/Accounting, Payroll, Tax, People, and key vendors to uphold compliance requirements and enable equity strategy as the company evolves. About the Role We’re looking for an experienced Senior Manager, Global Equity Administration to lead the end-to-end equity program for a subsidiary, with a focus on high-quality execution, scalable processes, auditable controls, and reliable equity systems. You will be hands-on in day-to-day equity administration and help improve how we operate as we scale. You will report to the Head of Equity Administration and partner closely with Legal, Equity Programs, Compensation, Tax, Payroll, and Finance to ensure equity operations are accurate, timely, and employee-friendly. Location: This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Execute end-to-end employee equity administration across key lifecycle events (new grants, vesting/RSU releases, option exercises, and related transactions). Run recurring operational cycles by managing timelines, checklists, stakeholder inputs, and issue resolution. Produce audit-ready equity reporting and support accounting, compliance, and reporting needs with accurate, well-documented data. Build and maintain automated reporting (scheduled reports, dashboards, reconciliations) to reduce manual effort and improve speed and accuracy. Support equity system operations (Shareworks or comparable) including troubleshooting, configuration updates, permissions, report builds, and workflow maintenance. Partner with Internal Controls to keep process documentation, narratives,

About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Revenue team plays a critical role in enabling OpenAI to scale its commercial offerings—overseeing billing operations, deal desk, revenue systems, and revenue accounting. We work cross-functionally with Technical Revenue, Finance Data, and Revenue Systems teams to support complex commercial arrangements, improve operational efficiency, and maintain financial integrity. About the Role As a Revenue Accounting Manager, you will own revenue accounting processes for consumption and usage-based revenue recognition while helping implement and maintain the systems, data flows, and accounting rules that support accurate financial reporting. You will serve as a key execution partner on onboarding new revenue streams, Fusion Accounting Hub rule updates, translating accounting requirements into expected journal entries, source-to-general-ledger mappings, user acceptance testing, data validation, and controlled operating processes. We’re looking for a hands-on revenue accounting owner who combines strong close discipline with systems and data fluency, independently coordinates cross-functional implementation work, and strengthens the accounting infrastructure supporting OpenAI’s growth. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own the monthly close for usage-based revenue and payment processor accounting, including journal entries, reconciliations, variance analysis, controls, and supporting documentation. Prepare and review revenue-related journal entries while understanding the underlying transaction lifecycle, accounting methodology, billing arrangements, source data, and expected financial reporting outcomes. Perform reconciliations for key revenue accounts, investigate discrepancies, and drive issues to resolution. Own flux

About the Team The Recursive Self-Improvement (RSI) team works across research, engineering, product, and infrastructure to build AI systems that accelerate and ultimately conduct high-quality research at OpenAI. We work to automate real research workflows and improve research productivity by building systems and feedback loops, designing evaluations, and training models to develop missing capabilities. Our work spans the full lifecycle of model training, evaluation, and deployment to help researchers move faster and tackle increasingly ambitious problems. About the Role We’re hiring research scientists , research engineers , and AI systems engineers to work on automating research at OpenAI. This role is based in San Francisco, CA. In this role, you will: Design evaluations for research judgment, hypothesis generation and testing, and long-horizon experiment execution. Turn real research workflows and model failures into data and evaluation flywheels. Improve model research capabilities through agent harnesses, synthetic data, RL environments, and model training. Build and maintain safe, reliable integrations between our models and OpenAI’s research infrastructure. Develop research agents, experiment-orchestration systems, and sandboxed runtimes that support real research workflows. Create metrics and economic models to understand RSI’s current and future effects on research productivity, model capabilities, and the safety of internal deployments. This is a high-ownership role for researchers and engineers who thrive in ambiguity, move fluidly between research and implementation, and turn emerging opportunities into rigorous, reliable, scalable results. You might thrive in this role if you: Have research or engineering experience across LLM training, model evaluations, agent systems, synthetic data, research infrastructure, or large-scale distributed systems. Are a strong generalist who can move between open-ended research and practical implementation, turning ambig

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Manage key risk areas and corresponding stakeholders. Keep track of a stack of existing and future mitigations for every major product and model deployment. Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. Manage pre-launch safety reviews. Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. Help with publishing and open sourcing safety