Executive Business Partner To Svp in United States

About the Team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to Semiconductor customers. You will own how solutions are scoped, built, shipped, and adopted across high-value engineering workflows such as RTL design, verification, and physical implementation. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will focus on the semiconductor vertical to deploy next-generation AI capabilities. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project m

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in San Francisco. W

About the team OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships. About the Role As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals. You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities. Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures). This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace. This role is based in NYC. We use a hy

About the Team The Premium team owns some of the highest-leverage customer-facing levers in ChatGPT’s consumer revenue business, spanning the paid customer journey: helping users understand the value of paid plans, convert with confidence, and continue finding lasting value in their subscription. Our work is highly cross-functional, partnering with Product, Data Science, Design, FinEng, Finance, Legal, Support, and Marketing to improve free-to-paid conversion, renewal, customer lifetime value, and revenue while keeping the experience trustworthy, scalable, and low-friction. In This Role, You Will: Lead and scale an engineering team responsible for some of ChatGPT’s most important subscription and monetization experiences. Own the technical execution for Premium customer experiences across plan merchandising, paywalls, upgrade flows, checkout UX, plan management, renewals, downgrades, and cancellation. Partner with Product and Data Science to run high-quality experiments across upgrade, trial, renewal, downgrade, and cancellation flows. Improve key subscription metrics including conversion, renewal, churn, ARPU, and lifetime value. Build reliable customer-facing Premium experiences for purchase, plan management, renewal, downgrade, cancellation, and access-related states at scale. Partner closely with FinEng and other platform teams to evolve the billing, payments, and entitlement capabilities that power Premium experiences. Collaborate closely with Product, Design, Data Science, Finance, Legal, Support, and Marketing on monetization strategy and execution. You Might Thrive in This Role If You: Have 5+ years of engineering management experience, Have strong technical expertise in backend, frontend, or full-stack development, with experience building growth-oriented features. Have a track record of improving conversion, retention, or monetization through experimentation and data-driven product engineering. Are experienced with subscription products, plan merchandising

Job Details: Job Description: Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Intel's Foundry Automation (IFA) team is hiring a Software Application Development Engineer. As part of our team, you will partner with end users in Fab Manufacturing and Engineering to deliver innovative solutions specially crafted for the ever-changing needs of our highly automated factories. To integrate these solutions, you will work closely with our Software Development teams and execute testing, implementation, troubleshooting and documentation of business processes. You will work at the intersection of software engineering and advanced manufacturing, collaborating with cross-functional teams to analyze business processes, gather requirements, implement software releases, and drive continuous improvement. This is a unique opportunity to make a direct and meaningful impact on Intel's 24/7 manufacturing capabilities while growing your technical expertise in a dynamic, fast-paced environment. Key Responsibilities: Collaborate with internal customers and partners to identify emerging data and business needs, and translate those needs into effective software solutions Analyze existing manufacturing processes and procedures to identify opportunities for optimization and improvement Gather and document business and technical requirements from stakeholders across Fab Manufacturing and Engineering Execute the im

About Datadog: Datadog is the essential monitoring and security platform for cloud applications. We bring together end-to-end traces, metrics, and logs to make your applications, infrastructure, and third-party services entirely observable. These capabilities help businesses secure their systems, avoid downtime, and ensure customers are getting the best user experience. The Team: The Financial Planning & Analysis (FP&A) team analyzes company financial data (revenue, customers, headcount, expenses, etc.) in order to support the business’ growth and success. Within FP&A, the R&D Finance team enables the financial strategy behind Datadog’s Engineering and Product organizations. We partner directly with technical leadership to drive decision-making around our most critical investments. Your work will be highly cross-functional and play a pivotal role in connecting the dots across the organization through a financial lens, ensuring operational alignment and informing decision making. The Opportunity: As a part of the R&D Finance team, this person will be key in supporting our product and engineering leadership team. Reporting to the Senior Manager, you will help create our annual budget and financial targets and work with operational leaders to support execution against our goals. Your work will be highly cross-functional and strategic, and you will play a pivotal role in connecting the dots across the organization through a financial lens, in order to help ensure operational alignment and inform decision making. What You’ll Do: Partner with senior business leaders to manage their departmental budgets on a regular basis, including but not limited to the company’s co-founder and CTO Manage financial forecasts and analytics, which include data across revenue, customers, product, company expenses, and headcount / workforce. Help manage significant portions of the company’s spend, including but not limited to AI and GPU spend across the compan

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role WRITER is looking for a customer success professional who will own deployment and activation success across a customer portfolio. You'll embed deeply into your customers' organizations, understand their business objectives, and build the programs, communities, and frameworks that turn AI investment into measurable outcomes. You'll partner closely with a Transformation lead to identify the right WRITER capabilities for each use case, then design and execute the strategies that drive meaningful adoption: building champion networks, running customized workshops, and advising customers on how to scale their AI programs over time. The ideal candidate brings a builder's mindset to customer success: you're not waiting for customers to engage, you're creating the conditions for it. This is a hybrid role based in our New York City hub. 🦸🏻‍♀️ What you'll do Own activation and platform success Deeply understand each customer's specific use cases, business objectives, an

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role WRITER is looking for a customer success professional who will own deployment and activation success across a customer portfolio. You'll embed deeply into your customers' organizations, understand their business objectives, and build the programs, communities, and frameworks that turn AI investment into measurable outcomes. You'll partner closely with a Transformation lead to identify the right WRITER capabilities for each use case, then design and execute the strategies that drive meaningful adoption: building champion networks, running customized workshops, and advising customers on how to scale their AI programs over time. The ideal candidate brings a builder's mindset to customer success: you're not waiting for customers to engage, you're creating the conditions for it. This is a hybrid role based in our New York City hub. 🦸🏻‍♀️ What you'll do Own activation and platform success Deeply understand each customer's specific use cases, business objectives, an

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 The Senior Manager, Corporate Development — M&A Integration plays a critical role in advancing the organization’s mergers, acquisitions, divestitures, and strategic growth initiatives. This individual will support multiple transactions simultaneously and partner closely with business leaders and cross-functional teams to plan and execute due diligence, integrations, and separations. As a key member of the M&A Integration team, the Senior Manager will develop and manage value chain analyses, entanglement assessments, stranded-cost analyses, one-time cost evaluations, service grids, and transition services agreements for acquisitions and divestitures. The ideal candidate brings strong M&A execution experience, strategic thinking, financial acumen, stakeholder-management expertise, and the ability to deliver results in a complex, matrixed environment. Key Responsibilities Transaction Execution and Integration Support multiple acquisitions, divestitures, and strategic transactions concurrently. Partner with Corporate Development leadership to evaluate, plan, and execute complex transactions. Lead critical integration and separation planning activities to support smooth transitions and achieve transaction objectives. Develop and maintain transaction workplans, timelines, milestones, risk logs,

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Analyst, Media Planning Overview The US Media Analyst assists with the development, execution, and measurement of integrated media campaigns across key business priorities, product launches, and audience segments. Reporting to the US Media Director, this role partners cross-functionally with Marketing, Finance, Product, Research, and Agency teams to ensure campaigns are delivered with operational excellence. The Analyst works closely with the media agency to oversee campaign setup, execution, optimization, and reporting, helping drive effective and efficient media investments. This is an exciting opportunity for a media professional looking to expand their executional expertise while contributing to the growth of a high-profile brand and business in a fast-paced, collaborative environment. Role: Campaign Management • Support U.S. media team in planning and execution of integrated media campaigns across digital, social, video, search, programmatic, CTV and emerging channels. • Track campaign launches and ensure flawless execution. • Assist with planning deliverables, including audience sizing, channel mix, partner consideration set, budget allocation, timelines, and approvals across internal and external partners. • Work closely with the cross-functional marketing and product team

Work Flexibility: Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the future of enterprise data solutions. In this role, you will drive complex data initiatives, influence technical strategy, and partner with teams across the organization to build scalable, high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices. What You Will Do Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation. Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability. Design, build, and optimize Azure-based data solutions using technologies such as Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation. Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models. Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions. Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team. Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity. Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational ef

WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU We are looking for a GTM Engineer to join our Marketing Technology team and help build the systems, processes, and data foundation that power modern go-to-market execution. In this role, you will design and scale the data, automation, and technology capabilities that enable more effective marketing and GTM programs. You will build reliable workflows that improve data quality, connect systems, streamline operations, and turn insights into timely action across the customer lifecycle. You will also help implement AI-powered solutions using platforms such as ChatGPT, Claude, and Gemini, including agents that improve research, automation, personalization, and team productivity. You will partner closely with Enterprise Systems, Data Science, Sal

The GTM Strategy & Operations Associate will join a global team driving Datadog’s next phase of growth. We’re interdisciplinary thinkers leveraging diverse business backgrounds in management consulting, investment banking, business development, and tech to accelerate Datadog’s global growth. We work directly with Datadog’s most senior leaders to set strategy, improve efficiency across the business, support data-driven decision-making, own complex operations, and more. In this role, you will serve as the strategic partner for our Enterprise segment in the Americas region, identifying opportunities for revenue growth & sales force effectiveness, spearheading strategic initiatives across our go-to-market teams, and driving critical annual planning activities. This role offers the chance to make an immediate and significant impact as we continue to expand our Americas footprint. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them What You’ll Do: Support the Enterprise Strategy & Operations team in addressing strategic and operational challenges faced by the Americas Enterprise sales leadership Partner with senior team members to analyze key business areas and surface insights that inform decision-making Support the design and execution of regional programs, including headcount planning, territory design, pipeline reviews, and business performance tracking Collaborate with cross-functional teams including Sales, Channels & Alliances, Marketing, and Customer Success to execute high-impact initiatives that drive growth and improve sales productivity Support sales leadership in executing critical operating rhythms (e.g., QBRs, forecast reviews, leadership updates) Drive day-to-day operational processes, including stakeholder support, KPI management, and process

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. The Technical Accounting, Accounting Policy, and Financial Reporting organization partners across Finance to assess complex corporate matters and develop well-supported U.S. GAAP conclusions. The team supports non-routine business activities requiring thoughtful technical judgment, scalable accounting policies, financial statement disclosures, processes, and controls. About the Role You will partner closely with Technical Accounting, Financial Reporting and Controllership to translate complex accounting conclusions into scalable operational procedures. You will build processes for non-standard transactions, including warrants, equity-method investments, debt and equity securities, non-controlling interests, hypothetical liquidation at book value allocations, business combinations, and other complex financing, investment, and capital arrangements. You will advise stakeholders across Corporate Accounting, Financial Reporting, Treasury, Legal, Tax, Strategic Finance, FP&A, Equity, Internal Controls, valuation specialists, and external auditors. You will help resolve complex accounting questions, align leaders on material judgments and risks, and translate conclusions into audit-ready memoranda, close entries, disclosures, processes, and controls. This is a highly visible role for an accounting professional who can turn technical conclusions into practical execution, support non-routine transactions through recurring close processes, and strengthen operational accounting across Finance. In this role, you will: Own operational accounting for complex financing, investment, equity, and capital arrangements, including classification, measurement, presentation, disclosure, and recurring close processes. In partnership with technical accounting, lead day-one and recurring accounting for non-standard transactions, including fair-value measurements, eq

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Platform Sales team is a highly consultative, enterprise sales team that is responsible for some of Stripe’s largest and fastest growing partners. Stripe helps software platforms offer more value to their customers by embedding Stripe’s powerful payments technology into their solution. As a Platform Sales Manager, you will play a critical role on our go-to-market leadership bench-- leading a team of AEs to make payments-as-a-service a competitive advantage for high-growth organizations. What you’ll do Drive sales growth through successful leadership, organizational planning, customer service and outstanding execution Oversee the expansion of Stripe’s footprint with global saas platforms Make hiring decisions, honing our ideal candidate profile and onboarding strategy Create structure and focus for GTM ideas and product sales campaigns that the product team is exploring. Drive execution and measurement. Analyze results and make recommendations for action in a timely manner. Define key sales support mechanisms, processes, and programs to meet the rapid growth of the business and achieve revenue attainment and market development objectives Build a world-class organization and write the playbook for the era of monetizing payments on platform Responsibilities Lead a team of sophisticated Existing Business, Platform AEs focused on expanding our global footprint with enterprise SaaS platforms Drive deal strategy and partner across the