Strategic Partnerships Manager in United States

Technical Sustainability Specialist – North America Description - This Technical Sustainability Specialist will lead sustainability-driven customer engagement across North America Enterprise Channel and Retail Accounts, with a focus on translating HP’s sustainability strategy into tangible business outcomes for customers. The role sits at the intersection of sales, partnerships, and sustainability, acting as a strategic advisor to customers while enabling account teams to embed sustainability into commercial conversations. Key Responsibilities Customer & Sales Engagement (Consultative / Account-Facing) Lead sustainability engagement across top North America Channel and Retail accounts customers. Partner closely with account teams, sales leaders, and category leads to shape customer strategy and unlock new opportunities. Act as a trusted advisor to customers on sustainability priorities (e.g., climate, circularity, nature, reporting) Represent HP sustainability in customer meetings, partner engagements, and industry events Sales Support & Deal Enablement Support strategic RFPs, RFIs, and major deals with sustainability expertise Act as the subject matter expert on sustainability requirements and customer expectations Provide escalation support for complex customer sustainability queries Review and strengthen sustainability messaging in proposals and sales materials Go-to-Market & Strategy Execution Support development and execution of sustainability go-to-market strategies Provide market insights and customer feedback to shape offerings, solutions, and campaigns Contribute to sustainability-led campaigns, customer success s

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 Data Scientist What is the opportunity? We are seeking a highly skilled and motivated Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. What will you do? • Gain subject matter knowledge on web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud including the common points of purchase for compromised cards. • Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services. • Competently handle large datasets, sifting for patterns and trends and translating those insights into technical rules and solutions. • Combine cybersecurity and transaction data into new and insightful views of fraud and vulnerability across the Mastercard network. • Collaborate with cross-functional teams including product, engineering, and operations to understand product, usage, and data pipelines as well as delivering scalable solutions. • T

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: WPP’s Data & Technology Solutions is the WPP’s unified global data products and technology team. We work with our agencies and clients to build data-driven solutions and technology product to power marketing transformation. WPP Open is our AI platform for marketing, it connects marketing professionals, data, tools and AI in a single place. WPP Open is the simplest, safest and fastest way to realize the benefits of scaled AI – delivering better-informed creative ideas faster, at scale and at lower cost. We’re endlessly curious and our team of thinkers, builders, creators and problem solvers are over 2,000 strong, across 20 markets around the world. We are seeking a strategic and commercially driven leader to represent and execute WPP’s data partnership strategy with Media Owners and Platforms. This role will be critical in scaling local markets Data Strategies Globally You are: A data leader with strong experience in partnerships and platform ecosystems with a robust knowledge of the AdTech industry Commercially minded, with experience negotiating and managing strategic par

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or c

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

Job Details: Job Description: This is a high-visibility, commissioned sales leadership role within Intel's US Sales organization, specifically focused on our most disruptive AI-Native and Strategic CSP accounts. You will be the primary architect of Intel's relationship with industry titans who are redefining the boundaries of AI model training, AIaaS solutions and deployment at scale. This is not a traditional sales role. You will operate at the intersection of deep technical engineering and executive business strategy, ensuring Intel's silicon and software roadmap aligns with the world's most demanding AI-as-a-Service and SaaS platforms across on-prem, Tier1 CSP and NeoCloud environments. Key Responsibilities Executive Orchestration: Act as the One Intel lead, building deep-rooted partnerships with C-suite executives and Principal Engineers at world-class AI and SaaS firms. Technical Value Synthesis: Translate complex hardware architectures (CPU, GPU, Accelerator, Networking, and Packaging) into business outcomes for customers running massive-scale distributed training and inference workloads. Strategic Growth: Drive Intel's data-centric growth strategy by identifying and securing design wins within the core infrastructure of the world's leading AI models and solution providers. Cross-Functional Leadership: Partner closely with Cloud Solution Architects (CSAs), Intel Business Units, Cloud and OEM partners to influence future product roadmaps based on the unique needs of AI-native disruptors. Market Evangelism: Serve as a technical and business evangelist, articulating Intel's vision for the future of AI and compute infrastructure in a highly competitive landscape. <p style="text-align:inhe

About the Team The Compute Strategy team works across research, engineering, product, finance, legal, and go-to-market teams to develop the partnerships, infrastructure capacity, and commercial models needed to advance AI infrastructure. About the Role As a member of the Compute Strategy team, you will develop commercial strategies for AI infrastructure partnerships and offerings. You’ll translate technical infrastructure opportunities into partnerships, transactions, and revenue. We’re looking for a commercially minded strategist who combines knowledge of semiconductors and AI infrastructure with strong financial judgment and the ability to execute complex partnerships. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Develop strategies for compute partnerships, vendor access, and infrastructure capacity. Structure and execute transactions with chipmakers, compute providers, and other infrastructure partners. Develop pricing frameworks and business cases for infrastructure-related partnerships. Evaluate partner technologies, strategic fit, commercial terms, and execution risks. Coordinate work across research, engineering, product, finance, legal, and go-to-market teams. Turn partnership learnings into repeatable operating models that can scale. You might thrive in this role if you: Have experience in strategy, corporate development, partnerships, or infrastructure transactions. Understand semiconductors and AI infrastructure. Can evaluate complex technical and commercial opportunities. Bring strong financial, analytical, and strategic judgment. Can influence and align technical and business stakeholders. Have negotiated or executed complex partnerships. Are comfortable operating in a fast-paced environment. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence ben

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 seeking a Senior People Partner to serve as the primary strategic advisor to our Finance and Legal leadership organizations, including direct partnerships with the Chief Financial Officer. This is a highly visible, staff-plus role designed for an experienced People Partner who operates with executive presence, strong independent judgment, and the ability to shape people strategy at scale. This role is based in our Menlo Park office, with in-office attendance required three days per week. Due to the nature of ELT partnership, location flexibility is not available for this position. The Senior People Partner will work closely with senior Finance leaders, the G&A People Partner leadership team, and People Centers of Excellence to drive organizational effectiveness, leadership capability, and business-aligned people strategy. This role reports to the Director, G&A People Partners. THE IMPACT YOU WILL MAKE: As a Senior People Partner, you will operate at the intersection of business strategy, leadership effectiveness, and organizational design, influencing outcomes well beyond your immediate client group. You will: Serve as a trusted advisor to executive leadership: Partner directly with the CFO, General Counsel and senior leaders as a strategic thought part

Datadog is seeking a highly motivated Senior Corporate Development Lead to drive our AI product strategy, build strong relationships across the founder and VC ecosystem, and support high-impact initiatives including acquisitions, venture investments, and startup partnerships. You will be part of a small, high-visibility team that reports directly to Datadog's Founder/CEO. The ideal candidate is passionate about AI and developer tools, comfortable rolling up their sleeves, and excited to operate in a fluid, technically demanding environment. You will support evaluations, source promising AI startups, collaborate closely with internal product and engineering leaders, and help position Datadog as the preferred partner for the next generation of founders. This role is ideal for someone who is hungry for increased responsibility, operates with authenticity and creativity, and prioritizes the company's interests. 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 Datadog's AI product strategy by analyzing emerging technologies, market opportunities, and competitive dynamics. Source high-potential AI startups for acquisition, investment, or partnership, and build a strong presence across the founder and VC ecosystem through meetups, conferences, and events. Drive workstreams across diligence, valuation, financial modeling, strategic assessment, and internal recommendations. Partner with Product and Engineering leaders to evaluate build/buy/partner opportunities aligned with Datadog's AI roadmap. Support negotiation processes, including term sheets and partnership structures, and collaborate on integration planning with cross-functional partners after deals close. Help attract early-stage AI companies into Datadog's startup program. Wh

Datadog is seeking a highly motivated Senior Corporate Development Lead to drive our AI product strategy, build strong relationships across the founder and VC ecosystem, and support high-impact initiatives including acquisitions, venture investments, and startup partnerships. You will be part of a small, high-visibility team that reports directly to Datadog’s Founder/CEO. The ideal candidate is passionate about AI and developer tools, comfortable rolling up their sleeves, and excited to operate in a fluid, technically demanding environment. You will support evaluations, source promising AI startups, collaborate closely with internal product and engineering leaders, and help position Datadog as the preferred partner for the next generation of founders. This role is ideal for someone who is hungry for increased responsibility, operates with authenticity and creativity, and prioritizes the company’s interests. 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 Datadog’s AI product strategy by analyzing emerging technologies, market opportunities, and competitive dynamics. Source high-potential AI startups for acquisition, investment, or partnership, and build a strong presence across the founder and VC ecosystem. Attend meetups, conferences, and ecosystem events to expand Datadog’s visibility and pipeline opportunities. Drive workstreams across diligence, valuation, financial modeling, strategic assessment, and internal recommendations. Partner with Product and Engineering leaders to evaluate build/buy/partner opportunities aligned with Datadog’s AI roadmap. Support negotiation processes, including term sheets and partnership structures. Collaborate on integration planning with cross-functional partners after acquisitions or strategic de

About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. About the Role We’re looking for a Senior ABM Strategist to build and lead the operating model for OpenAI’s highest-priority enterprise accounts. You’ll translate commercial priorities into focused 1:1 and 1 account programs, align Marketing and Sales around shared account plans, and orchestrate buying-group engagement across channels. This is a hands-on builder role for someone who can define the strategy, establish the system, and work directly with cross-functional partners to move strategic accounts toward qualified pipeline and revenue. In this role, you will: Own the enterprise ABM strategy, including account selection, tiering, objectives, program architecture, investment decisions, and performance recommendations. Partner with Sales, SDR, and RevOps to build shared account plans, map buying groups, identify whitespace, define engagement plays, and establish clear follow-up ownership. Design and execute 1:1 and 1 programs across content, paid media, executive engagement, events and webinars, web experiences, outbound coordination, and other relevant channels. Use intent, product, firmographic, engagement, and seller signals to determine when and how to activate priority accounts. Translate account and buyer insights into personalization strategies, offers, messaging, and conte

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript,

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seattle. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work Have scoped and delivered complex systems in fast-moving or ambiguous environments Write and review production-grade code across frontend and backend using Python, JavaScript, or co

Our Purpose Mastercard powers economies and empowers people in 200&#43; 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 Lead Workday Engineer - Integrations and Extend Overview The P&C Engineering team designs, develops, and implements technology solutions that improve and engage Mastercard employees across the globe. • Do you enjoy building enterprise applications that solve complex business challenges at global scale? • Do you have a passion for architecting innovative Workday solutions that improve employee experiences? • Do you thrive in environments where modernization, automation, AI, and continuous improvement are strategic priorities? • Can you connect business strategy with technical architecture and guide engineering teams toward the right solution? This role serves as a Lead Integration Engineer, responsible for architecting enterprise applications, modern employee experience, and scalable platform capabilities. You will lead the evolution of Mastercard's Workday platform through Workday Extend, AI, automation, APIs, and modern application development. Role • Lead the architecture, design, development, testing, implementation, documentation, and support of enterprise applications using Workday Extend. • Architect scalable solutions leveraging Workday Extend, Orchestrate, APIs, Studio, Core Connectors, EIBs, and Workday Web Services. • Design reusable application frameworks, s