Ai Strategy Consultant in United States

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 into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of new business opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role can be based in our San Francisco, New York, or Seattle offices. We are also considering applications to work remotely from within the U.S. 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'll: Build and manage a pipeline of new business opportunities 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 Analyze opportunity metrics to create reports and provide insights to internal 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 opera

About the team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the role This role is focused on driving new and expanded advertising revenue and ensuring successful business results for advertisers. You will own the full sales cycle — from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform. You’ll work closely with Account Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy. In this role you will: Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution. Own and achieve a defined revenue target within an assigned territory or vertical. Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth. Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback. Structure and negotiate complex commercial agreements. Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives. Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals. Partner with Account Managers to ensure seamless post-sale transitions and coordinated expansion strategies. Maintain rigorous pipeline management and accurate revenue forecasting. Yo

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 into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their organization. The team comprises Sales, Solutions, Support, Marketing, and Partnership professionals who collaborate to create valuable solutions that will help bring AI to as many users as possible. About the role Our Government Sales team has a unique mission to help national security customers understand the transformative impact that highly capable AI models can bring to their critical missions. This role combines technical understanding, strategic vision, partnership management, and value-driven strategy specifically tailored to Defense and Intelligence Community customers. You’ll drive key opportunities through the entire defense sales cycle, from pipeline generation to closure. You’ll collaborate closely with researchers, engineers, and solution strategists to help customers within the Defense and Intelligence Communities advance their national security missions through AI. This role is based in Washington DC. 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'll: Manage a focused set of key U.S. Defense and Intelligence Community accounts, developing and executing comprehensive account plans Lead Defense and Intelligence customers through their AI adoption journey, from consideration to successful deployment Partner with solutions and research engineering to build and execute complex defense customer programs and projects Own and manage a National Security Community consumption revenue target Oversee revenue forecasting and reporting Analyze key Defense and I

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. The Marketing Insights & Analytics team aims to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions. We’re the strategic partner that discovers insights, specifically: foundational understanding, marketing strategy, thought leadership, measurement and tracking. About the Role You will be the Market Research Lead that translates insights into actionable marketing plans and executions, drive business results, and orient the team towards strategic thinking to drive brand outcomes. This is critical as we hope to reach millions of users and businesses worldwide. This role can be based in San Francisco, CA or NYC, NY utilizing a hybrid work model (3 days per week in-office). In this role, you will: Play an integral part of Marketing and be a strategic partner to brand, product marketing, creative, product and beyond. Design, execute, and deliver high-impact research using mixed methods. Work on a diverse portfolio of business challenges - how do we reach the next billion people, how do we grow internationally, how do we position our suite of products, and how do we ship joy to our customers. Translate business questions into research plans. Translate data into clear, compelling narratives. Develop deep empathy for developers, builders, and technical decision-makers, understanding their workflows, motivations, and pain points across the lifecycle Shape go-to-market str

About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing together world-class scientists, engineers, and business leaders to translate frontier research into real-world impact. Within OpenAI, the Go-to-Market organization helps customers understand, adopt, and scale our products across their businesses. The team includes Sales, Solutions, Support, Marketing, Partnerships, and Strategic Pursuits professionals who work together to bring the benefits of AI to organizations globally. About the role We are hiring a Senior Specialist Seller to join the Strategic Pursuits team and lead priority opportunities generated through the joint AWS and OpenAI co-sell motion. You will partner closely with Account Directors, AWS field teams, and cross-functional stakeholders to identify, shape, advance, and close high-value strategic enterprise engagements. This role is ideal for a senior seller with deep experience in enterprise technology, AI, cloud, or complex transformation sales motions. You should be comfortable operating in executive-facing environments, aligning multiple stakeholders, and turning customer priorities into commercially compelling and technically credible opportunities. This role is based in San Francisco, Seattle, or New York. We operate on a hybrid model of 3 days per week in office and offer relocation support. We are also open to remote candidates based in the United States. In this role, you will: Lead commercial execution of priority AWS/OpenAI co-sell opportunities across strategic enterprise accounts. Identify and qualify high-potential opportunities focused on GenAI adoption, frontier platform use cases, and enterprise-wide transformation. Partner with AWS and OpenAI field teams to align account strategy, messaging, stakeholder mapping, and execution plans. Develop customer-facing value propositions that connect OpenAI capabilities with business priorities and

About the Team OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a Tokens-as-a-Service (TaaS) Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will Lead Tokens-as-a-Service programs across industrial compute environments, including first-party and partner-owned capacity. Convert delivered power, space, and hardware capacity into production-ready token throughput. Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. Drive external providers, EPCs, OEMs, utilities, and strategic partners t

About the Team The Stargate team is responsible for building the physical infrastructure that powers large-scale AI systems. We design and deliver next-generation data centers optimized for dense compute clusters, advanced networking, and rapidly evolving hardware platforms. This work sits at the intersection of hardware engineering, systems architecture, and infrastructure execution—translating cutting-edge compute roadmaps into scalable, production-ready environments. Our teams partner across silicon vendors, server and storage OEMs, networking teams, and data center engineering organizations to bring new capacity online quickly, reliably, and at global scale. About the Role We are seeking a CPU & Storage Technical Lead to define and drive the server compute and storage architecture strategy for Stargate infrastructure. In this role, you will own technical direction across CPU platforms, memory configurations, local and disaggregated storage systems, and their integration into large-scale AI clusters. You will evaluate vendor roadmaps, lead platform tradeoff decisions, and ensure compute and storage systems are optimized for training, inference, and supporting services. You will work cross-functionally with hardware engineering, performance modeling, networking, supply chain, and deployment teams, as well as external partners such as AMD, Intel, OEMs, ODMs, and storage vendors. This is a highly strategic role for someone who can operate deeply at the component level while also driving long-range infrastructure decisions. Key Responsibilities Own CPU and storage technical strategy for Stargate compute infrastructure across current and future generations. Evaluate CPU platforms across performance, efficiency, memory bandwidth, PCIe topology, cost, and roadmap alignment. Define storage architectures for AI environments, including boot media, local NVMe, shared storage, caching tiers, metadata services, and high-performance data pipelines. Drive server platform de

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions designed for the unique demands of advanced AI workloads. We work closely with research, software, and external hardware partners to shape the next generation of AI systems, from silicon through full-scale deployments. Our team focuses on understanding and optimizing performance across the full system stack—ensuring that architectural decisions are grounded in rigorous, quantitative analysis of real-world workloads. About the Role We are seeking a Performance Modeling Lead to build and lead a small, high-impact team responsible for answering forward-looking architectural questions across AI infrastructure systems. You will develop modeling frameworks and methodologies to evaluate system-level tradeoffs and guide key design decisions. Your work will directly influence reference architectures, vendor designs, and long-term infrastructure strategy. This role sits at the intersection of AI workloads, system architecture, and quantitative modeling, and requires strong technical judgment, ownership, and the ability to translate complex analysis into clear, actionable guidance. 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. Key Responsibilities Build and own a performance modeling framework/toolchain to evaluate AI systems across multiple levels of abstraction. Analyze and quantify architectural tradeoffs across compute, memory, networking, storage, and system topology. Develop performance models to guide decisions on: scale-up vs. scale-out architectures interconnect and network design memory hierarchy and system balance. Translate modeling outputs into clear recommendations for internal teams and external hardware vendors. Influence reference designs and vendor roadmaps through data-driven insights. Partner closely with machine learning, systems, and hardware teams to understand workload characte

About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem designed to accelerate customer success, enable enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work closely across Product, Research, Sales, Legal, Communications, and regional leadership to ensure a cohesive strategy and disciplined execution with our most strategic partners. About the Role We are hiring a Partner Director, Global McKinsey Alliance to lead and scale OpenAI’s relationship with McKinsey & Company. This role will serve as the single accountable executive owner of the alliance globally. You will define the partnership strategy and operating model, translating executive alignment into scaled commercial and transformation outcomes across regions and industries. You will work closely with McKinsey’s global leadership, industry and functional practices, and technology organizations—including QuantumBlack, AI by McKinsey—to develop differentiated enterprise AI offerings, pursue complex transformation opportunities, and help customers move from strategy to production deployment and measurable value. The role carries responsibility for the health, performance, and long-term expansion of the partnership. Success requires senior executive presence, sound judgment, commercial discipline, technical fluency, and the ability to operate effectively across a complex, partner-led organization. In this role, you will: Own the global McKinsey relationship, including alliance strategy, pipeline growth, enterprise impact, deployment scale, and long-term expansion across priority industries. Define and run the partnership’s operating model across executive governance, joint planning, regional execution, opportunity management, resource allocation, and escalation. Serve as OpenAI’s senior executive counterpart to McKinsey’s global leadership and relevant industry, functional, technology, and regional leaders. Develop a differentiated alliance s

About the Team OpenAI’s Stargate and 3P Engineering teams are responsible for building and scaling the external infrastructure ecosystem that powers advanced AI systems. We work across hyperscalers, colocation providers, cloud partners, and strategic third-party operators to turn contracted capacity into production-ready compute. Our scope spans the full lifecycle of external deployments: commercial alignment, technical readiness, network integration, hardware enablement, operational readiness, and long-range scaling strategy. As OpenAI’s infrastructure footprint expands globally, we need leaders who can convert complex partner environments into reliable, high-velocity capacity for training and inference workloads. About the Role We are seeking a Technical Program Manager, Token-as-a-Service (TaaS) to lead delivery of external compute capacity that directly serves OpenAI model workloads. In this role, you will own complex cross-functional programs that transform third-party infrastructure into usable tokens at scale. You will partner across engineering, capacity planning, networking, hardware, finance, product, and external providers to ensure that deployed capacity translates into real production throughput. This role sits at the intersection of infrastructure execution, systems readiness, and business impact. Success requires strong technical fluency, elite program management, and the ability to drive accountability across internal teams and external partners. This is a high-visibility role with direct impact on OpenAI’s ability to scale model training and inference globally. This role is based in San Francisco, CA, with a hybrid work model of 3 days in office per week. Relocation assistance is available. Key Responsibilities Lead end-to-end delivery programs that convert external infrastructure capacity into production-ready token supply. Own readiness across compute, storage, networking, security, and operational dependencies for third-party environments. Build

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role The Safety Measurement Product Manager owns OpenAI's approach to measuring harm and safeguard efficacy in production, including driving the strategy for our suite of safety measurement platforms and products used across the company. You will partner closely with our safety research and engineering teams to determine what we measure, where we measure it, and how we measure it, feeding those insights directly into critical leadership decisions and back into our safety work. You will also represent the company's topline safety metric as well as prioritize incoming requests from partner teams to expand our safety measurement platform to more use cases. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Partner closely with data science, research, engineering, policy teams, and other stakeholders to craft a vision for understanding safety outcomes and prevalence on our platforms. Define strategic priorities and product roadmaps focused on improving safety measurement approaches will scaling our measurement platform to more use cases, products, and cross-functional team needs. Establish repeatable processes to integrate cutting-edge AI safety research into OpenAI’s safety m

About the Team The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths. About the Role We are hiring a Product Manager to own Integrity's product strategy for sensitive deployments: contexts where model capability, customer or deployment setting, privacy constraints, and misuse potential make the operating bar unusually high. This includes government and other high stakes deployments, regulated or high-trust enterprise contexts, zero data retention and privacy-constrained environments, and agentic workflows where harm can unfold across many steps rather than a single prompt. The Sensitive Deployments PM will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: Own the roadmap for sensitive deployment Integrity controls and readiness criteria. Define how we measure residual risk, decision quality, review quality, and mitigation effectiveness. Build agentic investigation and context-assembly workflows for complex, multi-step misuse patterns. Partner with Policy, Legal, Privacy, Safety Systems, User Ops, Government, and product teams to build shared capabilities. Create launch and deployment playbooks for sensitive customer, capability, and product contexts. You might thrive in this role if you: Have shipped complex product systems in AI, integrity, trust and safety, security, privacy, risk, government, regulated enterprise, or AI safety. Can turn am

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Team Strategic Finance is the commercial and analytical engine behind Snowflake's product and revenue decisions. The team operates at the intersection of product strategy, pricing, and investment prioritization. Strategic Engagements, the function this role sits within, owns Snowflake's most consequential customer pursuits, partnerships, and M&A engagements. We bring financial, product, market, and pricing depth to the deals that determine quarters, set commercial precedent, and shape Snowflake's largest customer relationships. About the Role We are hiring two Strategic Engagements Deal Leads to own the commercial structuring and execution of Snowflake's most consequential customer engagements across North America. You will own the deal-by-deal economic frame, commercial recommendation, and structuring approach for the company's highest-priority strategic engagements. The portfolio spans the full range of qualifying deals: net-new logo acquisitions, multi-year capacity expansions in installed-base accounts, partnership-driven commercial structures, and deals that set commercial precedent for new business models. You will partner directly with account leadership, Specialist Sales, AI Specialists, Deal Desk, Legal, Pricing, and Revenue Accounting. You will join

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for As Snowflake Public Sector continues to grow, executing our strategic go-to-market (GTM) strategy with partners like AWS, Microsoft Azure and others is critical to our success. As the Director for Public Sector Strategic Partnerships, you will be responsible for driving joint GTM sales initiatives, co-sell activities, and building strong relationships with strategic partners to fuel growth. In this role, you will work closely with sales teams and cloud partners to develop and execute targeted GTM strategies, ensuring mutual success. You'll focus on driving sales, consumption, and demand generation, while fostering long-term relationships with key partner executives. Your ability to align Snowflake's strengths with cloud and other strategic partners' needs will be central to achieving business outcomes. KEY RESPONSIBILITIES: Go-to-Market Strategy: Partner with sales teams to identify key cloud partners and co-create GTM strategies to drive growth. Enable and advocate for joint solutions and offerings that showcase Snowflake’s value alongside cloud partner strengths. Lead joint sales

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a Software Development Engineer In Test, to apply advanced software engineering skills to improve quality across the development lifecycle through scalable test frameworks, developer tooling, and reusable automation solutions. This is a senior individual contributor role for a developer who specializes in testing, testability, and quality engineering. This role combines hands-on engineering with technical leadership across teams. The individual will influence architecture, strengthen automation strategy, improve developer feedback loops, and help establish consistent quality engineering practices that scale across products and platforms. The role carries strong Software Development Engineer in Test expectations, with an emphasis on building engineering solutions that improve product quality, platform reliability, and development velocity. Primary Responsibilities Design, develop, and evolve scalable test frameworks, automation libraries, and developer-facing quality tools Understand how the broader software ecosystem works together and define quality engineering approaches that align to platform strategy Partner with Product, Architecture, and Engineering teams to define test strategy, coverage goals, and acceptance criteria Build reusable utilities, harnesses, mocks, stubs, and data solutions that improve system