Lead Design Management in United States

Datadog is hiring a Head of Global Executive Support to lead and scale our Executive Support organization. This is a leadership role responsible for the strategy, operations, and people development of a global team spanning Executive Assistants, Senior EAs, Team Leads, and Managers. The leader will serve as the connective tissue between executive leadership and the broader organization, helping to set the standard for operational excellence, building scalable systems, and developing the next generation of EA talent. Datadog's Executive Support team is a high-visibility, high-impact function that directly enables our most senior leaders to operate at their best. As the leader, you'll shape how the entire function runs; building a team culture grounded in excellence, discretion, and genuine partnership. The right person for this role brings deep expertise in executive-level support, a systems mindset, and a track record of leading high-performing administrative organizations. 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 Lead and develop a global, multi-level executive assistant team Define the long-term vision and operating model for Executive Support at Datadog Drive headcount planning, resource allocation, and org design as the company scales Develop and maintain policies, playbooks, and documentation that standardize high-quality support across all executive stakeholders Identify and implement process improvements that increase efficiency and reduce friction across the organization Act as an escalation point for complex, high-stakes, or sensitive executive support needs Maintain discretion and judgment around confidential information at the highest levels of the organization Partner with Finance, Legal, People, and leaders across

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs) and generative AI. We provide robust, scalable observability for AI workloads, including drift detection and model evaluation, and behavior tracing, enabling customers to ship AI with confidence. As a Staff Engineer, you’ll lead the development of new features and foundational capabilities within Datadog’s LLM Observability product. You will shape product direction, drive experimentation, and apply your deep understanding of both AI systems and software engineering to solve open-ended problems in the fast-moving AI landscape. Your work will directly impact how our customers monitor, troubleshoot, and optimize LLM-based applications in production. Join us in building the foundational tools that make AI systems observable, understandable, and reliable in the real world. 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: Drive design and implementation of LLM observability features. Ideate, prototype, and scale new product features to provide insights and drive improvements for generative AI systems Work cross-functionally with other eng teams, product, UX, and applied science to iterate fast and find product-market fit Develop and extend tools for tracing, evaluating, and debugging LLMs Influence architecture decisions and mentor engineers to build resilient, high-performance systems Stay close to customer pain points and use those insights to guide product and engineering priorities Stay current with industry trends and advancements in machine learning and observability, driving innovation within the team Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or r

About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We're looking for an Optical Interconnect System Engineer to design, qualify, and deploy scalable optical connectivity for large-scale AI infrastructure. This role spans fiber-system architecture, optical-mechanical integration, validation, reliability, deployment, and serviceability. You will work with optical, mechanical, electrical, networking, manufacturing, reliability, and data-center teams to translate system needs into practical interconnect solutions. This is a hands-on role for someone who can connect design decisions with installation, qualification, troubleshooting, and long-term operational performance. In this role, you will: Define optical interconnect architectures and requirements across hardware platforms and rack-level systems. Design high-density fiber systems for performance, density, reliability, installation, and serviceability. Lead optical-mechanical integration and cross-functional design reviews. Develop test and qualification plans for optical components, modules, switching platforms, and integrated systems. Own optical loss budgets, routing guidelines, handling requirements, and serviceability criteria. Support system bring-up, deployment, troubleshooting, failure analysis, and reliability improvement. Create reusable design guidelines, interface requirements, and qualification methods. You might thrive in this role if you have: Core experience Experience desi

About the Team The Ecosystem AI Deployment Engineering (ADE) team supports strategic partners as they build high-quality technical integrations into ChatGPT and Codex. Our goal is to create products users depend on, drive adoption and retention, and build an ecosystem where partners win when OpenAI wins. About the Role We are looking for an AI Deployment Engineer to help strategic partners design, build, evaluate, submit, launch, and maintain high-utility plugins for ChatGPT and Codex. This is a hands-on, partner-facing product engineering role for someone who can contribute to the platform itself, lead sophisticated partner engagements, and translate ambiguous product needs into production-ready integrations. You will work across partner product and engineering teams and OpenAI's product, engineering, partnerships, legal, policy, design, and go-to-market teams. You will identify the right use cases, prototype and review implementations, run evaluations, debug issues across systems, guide partners through submission and review, and support launch and post-launch iteration. The best person for this role moves fluidly between code, product judgment, project leadership, and clear communication with engineers and executives. This role is a fit for a product minded engineer who wants to stay close to users and partners while still going deep on code, reliability, evaluations, and developer experience. The goal is to help partners ship plugins that are not merely technically functional, but genuinely useful in ChatGPT and Codex. This role is based in our San Francisco office. 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 technical partner journey for priority B2B plugins—from pitch and readiness assessment through architecture, build, evaluation, submission, launch, and ongoing maintenance. Identify strong plugin use cases, define crisp user journeys and expected behaviors, and

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 Software Engineer / Technical Lead (AI & Automation) will provide technical leadership for the design, development, modernization, and support of critical applications supporting Prior Authorization Operations (PAOps) under PBM line of business. This role will be responsible for building and maintaining scalable, cloud-native solutions that enable intelligent workflow automation, AI-driven decisioning, document processing, and business process optimization. The ideal candidate is a hands-on technical leader with strong software engineering and cloud architecture expertise, coupled with practical experience implementing Generative AI, Agentic AI, and Large Language Model (LLM) solutions in production environments. This individual will collaborate closely with Data Engineering, Data Science, Product, and Business teams to deliver highly available, secure, and scalable applications while driving innovation through AI-powered solutions. Key areas of focus include: Application architecture, development, and production support Cloud-native engineering and platform modernization Microservices and distributed systems AI/GenAI, Agentic AI, and LLM-based solutions Event-driven and streaming architectures Engineering best practices, mentoring, and technical leadership R

We are now looking for a dynamic business leader to grow NVIDIA's Host Networking business for AI infrastructure with AI Labs and Hyperscalers! This leader will drive strategic direction, customer engagement, and multi-year growth for networking products such as NVIDIA DPUs, SuperNICs, and their associated software and ecosystem. Success in this role will be measured by the level of adoption and integration of our Host Networking products with our end customers' workflows and workloads. Success is contingent upon building trust with executives, architects, product leaders, and platform teams across NVIDIA and our largest customers. This leader will lead the go-to-market motion, connecting customer AI factory needs to NVIDIA's networking portfolio and aligning product, sales, engineering, architecture, marketing, and partner teams to secure design wins and scale deployments. What you'll be doing: Identify, develop and close strategic design wins for DPU and SuperNIC with top AI labs and Cloud Service Providers! Build and implement the segment sales growth strategy for host networking across hyperscaler and frontier model AI labs building large scale AI infrastructure. Define customer-specific DPU and SuperNIC value propositions and deployment motions, and lead a matrixed team across product, architects, engineering, sales and marketing teams. Promote NVIDIA host networking products externally and internally, positioning their value for AI workloads and other infrastructure products from NVIDIA, in a collection of use-cases in Networking, Security and Storage. Build a robust opportunity pipeline with segment sales and account teams, including account mapping, customer requirements, proof points, executive engagement, and partner alignment. Track and drive quarterly business reporting, forecast accuracy, design-win progress, roadmap asks, and

Role Summary This position reports to the Director, Product Communications and Social Engagement Lead, and will execute the organic social strategy and community engagement across the Primary Care, Specialty Care, and Oncology businesses, as well as PfizerForAll handles. The role is responsible for delivering tactics against social communication strategies that amplify product narratives, foster meaningful connections, and protect brand reputation through compliant, social-by-design content, while ensuring alignment with overall brand and business objectives. The individual will own the editorial calendar, build high-performing communities, and operationalize safe, responsive, and compliant social engagement programs. The ideal candidate is someone proficient in hands-on execution and collaboration with cross-functional teams, including marketing, product, and digital. Key Responsibilities Strategy and Planning Help define the organic social strategy for Primary and Specialty Care brands and input into translation of brand narratives into platform-native content and series. Help build and maintain a channel-by-channel editorial calendar (quarterly and monthly) aligned to campaigns, corporate moments, data and regulatory milestones, and product needs; integrate tagging and UTMs. Content Operations and Execution Assist in the editorial process end to end: help brief, develop, adapt, and optimize organic posts and lightweight social extensions; enforce tone of voice and style guides. Support data and milestone moments through social, helping shape the communications approach and developing supporting content for owned corporate channels. Coordinate influencer and partner content where relevant, ensuring taxonomy, job-code tracking, and preview/QA workflows with agencies. Drive test

We're looking for a Head of Enterprise & Field Marketing to lead and scale our global field marketing organization, own account-based marketing for our largest and most strategic accounts, drive alliances and partner marketing in service of enterprise growth and regional strength; and oversee our strategic events strategy and programs. This is a senior leadership role responsible for the strategy, team, and execution to drive high-quality pipeline and conversion for Diligent’s AI-powered GRC platform in all regions, and design programs that turns enterprise pipeline into revenue through a full-funnel approach, including integrated regional campaigns; 1:1/1:few ABM for named global accounts; bespoke strategic events that offer cut-through experiences for prospects and customers; and leveraging co-marketing of alliances and partnerships for net-new pipeline and brand expansion. You would be joining Diligent at an exciting moment in the company’s history, as they unleash their new AI-powered GRC platform to help General Counsels, Chief Compliance Officers, Audit and Risk Leaders. This is the result of nearly three years of intense development of agentic workflows inside the Diligent platform, as well as MCP/plug-in access to Diligent offerings - providing a robust, differentiated experience for clients who need solutions that accelerate and action critical business objectives, not just static reporting. Working closely with Sales and the broader GTM organization, you will lead an established, multi-region field marketing team and be responsible for evolving it from regional execution into a more specialized, account-centric growth engine — tightly aligned with enterprise sales leadership, customer success, global events, and partner teams. You'll own the budget, the roadmap, and the relationship with sales as the primary marketing partner for our highest-value opportunities. You w

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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from th

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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from th

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Engineering Manager, Home Infrastructure The Home Infrastructure team builds the mission-critical backend and data systems that power Roblox’s Homepage and Experience Details Page, two of the highest-traffic surfaces on Roblox. These surfaces reach the vast majority of Roblox’s daily active users and are core drivers of discovery, engagement, retention, and platform growth. We are a full-stack product infrastructure team responsible for content distribution across Roblox. Our systems support multiple modes of user interaction, including exploratory browsing, directed discovery, and personalized content recommendations across the many types of content that make up the Roblox ecosystem. This team sits at the intersection of large-scale distributed systems, machine learning-powered personalization, data infrastructure, and product experimentation. We partner closely with Machine Learning, Data Science, Product, Design, Frontend, Ads, Marketplace, Virtual Economy, and other teams across Roblox to build the platforms that help users find the most relevant and engaging content. As Engineering Manager for Home Infrastructure, you will lead a team of Backend and Data Engineers responsible for the e

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role OpenAI's Hardware organization builds supercompute platforms from silicon and boards to full rack-scale systems to power advanced AI workloads. This role owns end-to-end quality for high-speed interconnect hardware across the product lifecycle: early design influence, supplier/contract manufacturer readiness, qualification, ramp, and fleet quality in lab and data center environments. You will be the quality lead for advanced interconnect components and assemblies, including high-speed copper cables, cable cartridges, patch panels, backplane/cable-backplane solutions, high-speed connectors, and related electro-mechanical interfaces. You will partner closely with electrical, mechanical, SI/PI, systems, reliability, operations, and external vendors to prevent escapes and drive rapid, data-driven containment and corrective action. In this role you will: Own quality for advanced interconnect components and assemblies: high-speed connectors, high-speed copper cables, cable cartridges (e.g., cable cassette style assemblies), patch panels & optics, and backplane/cable-backplane interconnect solutions. Drive quality-by-design: participate in design reviews, DFM/DFx, tolerance stacks, material and plating selections, connector mating strategy, strain relief, and assembly methods to reduce variation and field failures. Define and track quality and reliability metrics (DPPM, yield, escapes, RMA/FRACAS trends, Cpk/Ppk where applicable) for interconnects across NPI and m

Job Details: Job Description: Responsible for managing the relationship between Intel Data Center and AI (DCAI) and Dell ISG with focus on driving sales strategy of existing Xeon and AI product offerings while expanding Intel design portfolio within Dell's future roadmap to ensure the acceleration of Xeon and AI adoption. Through the design-in process, demonstrate the skills to showcase a quantifiable preference to Intel technology and integrate key learnings into Intel and Dell marketing organizations. The role is critical to establish great relationships and trust with key individuals at Dell and Intel business units and help both companies understand each other's challenges, opportunities to work towards a solution(s) that allows both companies to succeed. The candidate will have enough technical depth to understand the Intel product roadmap, the customer roadmap needs and what the competition is offering and intelligently recommend how to sell the Intel value proposition. Key Responsibilities include: Serve as sales and technical lead for multiple Dell PowerEdge and AI server programs based on Intel Xeon processors and AI accelerators, and collaborate with marketing team to drive complete end-to-end execution. Partner closely with Intel and Dell engineering, product, marketing, and program teams worldwide to align on features, schedules, quality, and issue resolution, ensuring successful product execution. Drive strategic design-win engagements for future Intel Xeon and AI accelerator products, influencing both Intel and Dell roadmaps through deep customer insight, competitive analysis, and early requirements gathering. Act as the primary interface between Intel and Dell, rapidly resolving business and technical issues, managing escalations, and ensuring the highest levels of cus

Product Manager Enterprise Integrations Description - Role Summary We are looking for a Principal Product Manager to lead the evolution of HP’s Enterprise Integration strategy—from fragmented, point-to-point integrations to a scalable, productized API ecosystem. This role will define and drive a shift toward API-as-a-product, enabling reusable business capabilities, accelerating developer productivity, and laying the foundation for an AI-first, composable enterprise. You will play a pivotal role in transforming our integration landscape into a unified Integration Fabric, and ultimately an Intelligence Fabric that powers next-generation digital and AI-driven experiences. What You’ll Own API Productization Strategy Transform APIs from point solutions into reusable, discoverable product offerings Define capability-based packaging aligned to business domains (B2C, B2B, Partner ecosystems) Drive standardization across design, classification, and maturity frameworks Enterprise Integration Fabric Define integration patterns that unify platform, SaaS, and custom-built APIs Establish a holistic, cross-application view of enterprise APIs Reduce point-to-point integrations through reusable architecture patterns and services Data + API Convergence Partner with Data teams to define and expose data products via APIs Enable consistent access to enterprise data through standardized interfaces Align API strategy with enterprise data governance and cataloging AI-First APIs & Developer Experience Define APIs optimized for AI agents, automation, and developer productivity Build APIs that are discoverable, composable, and machine-consumable Enable next-gen use cases including agent or

Principal Data Privacy Architect Description - Job Summary - Role Purpose • Lead and oversee complex, cross-functional privacy and data protection programs from strategy through implementation, ensuring alignment across business, technical, legal, and compliance stakeholders. • This role will design and implement scalable, AI-ready data privacy architecture across enterprise data environments, applications, and AI-enabled workflows. • The Principal Data Privacy Architect will serve as a hands-on subject matter expert responsible for embedding privacy-by-design, consent enforcement, data sovereignty, data loss prevention, and compliance controls into large, complex global data environments. • The architect will partner closely with Data Engineering, Cybersecurity, Legal, Privacy, AI Governance, Product, and Enterprise Architecture teams to ensure customer, employee, partner, and sensitive enterprise data is accessed, processed, shared, retained, and protected in a compliant, secure, and trustworthy manner. - Why This Role Matters • Architect for Trust & Scale: Build reusable privacy architecture patterns that enable secure, compliant, and scalable data usage across platforms, products, and regions. • Enable Responsible AI: Design privacy guardrails for AI agents, generative AI, RAG pipelines, model inputs and outputs, embeddings, vector stores, and automated data workflows. • Reduce Risk While Enabling Innovation: Translate privacy, consent, regulatory, and data sovereignty obligations into practical engineering controls that accelerate business outcomes. Responsibilities - Think Customer First • Embed customer trust, transparency, and privacy-by-design principles into enterprise data platforms and customer-facing applications. • Design consent-aware data access and usage p