Sales Operations Global Process Owner in United States

Are you eager to explore a career in HR? Datadog is scaling, and we are committed to investing in our people. If you are looking to get a ground floor experience in supporting a high-growth tech company as it scales, this is the place to be. You’ll be heavily involved in all things that make it possible for our employees to do great things here contributing to our success. You will have the opportunity to learn and grow from great mentors and will provide front-line support to drive the success of key People initiatives. You will be a trusted member of the global People Team and instrumental in driving efficiency and organization in your day-to-day support. 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: Serve as the first point of contact for employee questions received through the People Services Center, triaging when necessary. Own the administrative execution of new hire onboarding and offboarding. Own all aspects of maintaining employee changes and data throughout the full employee life cycle including employee changes in the system, organizational updates, job change letters, and audits. Champion collaborative cross functional relationships with Recruiting, IT, Payroll, and hiring managers to ensure a successful hiring process and engaging onboarding experience for new hires. Organize and maintain internal documentation and perform regular audits to ensure accuracy and completeness. Develop and regularly maintain internal knowledge base resources to empower employees to be self-directed and successful. Ensure compliance with company policies and procedures, local, state, and regional regulations. Coordinate and support new hires during the entire onboarding process, ensuring a smooth transition for each new hire Assist with salary and s

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 Director of the Divestiture Management Office (DMO) will lead the team responsible for delivering on a Transition Services Agreements (TSAs) following the sale of a CVS Health business unit. This role serves as the primary liaison between CVS Health, the acquiring company, vendors, and impacted employees to ensure all transition commitments are successfully executed. The ideal candidate is a strong leader who can manage complex programs, build relationships across multiple stakeholders, and drive solutions in a fast-paced environment. Key Responsibilities Lead and manage the Divestiture Management Office and supporting team members. Oversee execution of Transition Services Agreement (TSA) commitments and contractual obligations. Build and maintain relationships with buyers, vendors, impacted employees, and CVS stakeholders. Review and interpret legal agreements, contracts, and transaction documents. Identify risks, issues, and improvement opportunities, and drive resolution through collaboration and negotiation. Provide clear updates, recommendations, and reporting to senior leadership. Manage project budgets and ensure financial goals are met. Track program performance through metrics, reporting, and governance processes. Lead project planning, execution, and continuous improvement efforts.

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Summary The Staff Data Engineer is a seasoned, hands-on engineer who designs, builds, and scales data products on our cloud lakehouse, powering analytics, reporting, and AI/ML across Illumina. We are looking for someone with strong proficiency in Python, SQL, and data modeling, a solid understanding of distributed systems and system design who has built and scaled data products on modern cloud platforms such as Databricks and Snowflake. This is a hands-on, senior individual-contributor role with end-to-end ownership and leadership spanning multiple domains such as Supply Chain, Manufacturing and Quality, including mentoring engineers on our global (India-based) team. Responsibilities Partner across business, AI, and platform teams translating domain needs (e.g., SAP, Manufacturing, Quality) into well-modeled, governed and scalable data products. Design, build, and scale end-to-end data products on Databricks (and interoperating with Snowflake) — from ingestion through curated, analytics-ready datasets following a medallion (Bronze/Silver/Gold) architecture. Develop reusable frameworks, libraries, and

Healthcare is complex. We’re here to change that. RVO Health is a health technology company on a mission to make health easier to navigate, more accessible, and more affordable for everyone. Here, you'll help over 40 million people every month, with a team that genuinely cares about the work and each other. AT A GLANCE RVO Health is seeking an experienced and highly analytical Director, SEO & AEO to own organic search performance across our entire suite of health brands, including Healthline (The #1 health website in Google AI Overviews and ChatGPT visibility), Healthgrades (The #1 healthcare finder website), Medical News Today, and more. This role leads and scales a high-performing SEO team, setting strategy and driving measurable growth in both team capability and organic traffic. The Director brings deep and varied SEO expertise, spanning traditional Google search, Agentic search (AEO), and Social search, and translates that expertise into performance gains and business impact across our digital ecosystem. This is a highly visible leadership role with direct collaboration at the VP+ level, requiring strong analytical rigor, technical depth, and the ability to connect SEO performance to enterprise priorities. Where You'll Be Location: New York City, NY | Hybrid We believe great collaboration happens when we're together, solving problems, learning from each other, and connecting as a team. That's why we’re in our offices Tuesday through Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish. Office address: 250 Park Ave S, New York, NY 10003 (Union Square) What You’ll Do Lead, coach and scale a highly performant SEO team across multiple priorities and brands. Develop team-wide SEO (Google, Agentic, Social) strategies, across every stage of the health search journey (including for Healthline and Healthgrades), based on a nuanced understanding of site performance, SEO data, Google's updates, and third-party industry insights, in alig

We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver communication libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. DL and HPC applications have a huge compute demand already and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! We are looking for a technical leader to manage our NVSHMEM and UCX libraries. This is an outstanding opportunity to push the limits on the state-of-the-art and deliver platforms the world has never seen before. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Lead, mentor, and grow your library engineering team and be responsible for the planning and execution of projects as well as the quality, and performance of your libraries. This is a technical leadership role so you will participate in feature design and implementation. Interact with internal and external partners and researchers to understand their use cases and requirements. Collaborate with engineering teams, program and product management, and partners to define the product roadmap. Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are executing in the most efficient and transparent manner. What we need to see: 10+ overall years of experience in the software industry with specialization in HPC networking or system software. 4+ years of management experience. BS, MS, or Ph.D. in C

We anticipate the application window for this opening will close on - 30 Sep 2026 Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life Our Automation Platforms team develops and scales reusable technologies that improve safety, quality, and productivity across Medtronic’s global manufacturing network. We're working onsite 4 days a week as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. The person in this role will work from the Medtronic facility located in Fridley, Minnesota. This role will require 25% of travel to enhance collaboration and ensure successful completion of projects. The Sr Principal Robotics & AMR Automation Platforms Engineer will serve as the enterprise technical authority for autonomous mobile robotics, collaborative robotics, and emerging intelligent automation technologies, advancing reusable platforms from technology development through factory validation and global deployment. This role will define technical strategy, platform architectures, roadmaps, standards, and reusable capabilities while partnering with manufacturing sites, engineering teams, IT/OT, suppliers, system integrators, and Medtronic’s Surgical Robotics organization. The successful can

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created communication libraries like NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models. Improve AI compilers to hide communications or perform automatic fusion. Conduct in-depth AI workload performance characterization on multi-GPU clusters. Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads. Author

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize NVIDIA's vision? What you will be doing: Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters. Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available Triage and root-cause performance issues reported by our customers Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information <li

Coder is looking for a Financial Analyst to join our Financial Planning & Strategy team. In this role, you’ll own key planning workstreams across budgeting, forecasting, and variance analysis, helping leaders make better decisions as Coder scales. Every enterprise deploying AI coding agents needs secure, governed infrastructure to run them. You’ll help model the demand behind that shift, partner with teams across the business, and build financial frameworks for a market still being defined. What you’ll do here Own recurring FP&A deliverables end to end, including departmental budget-to-actual reporting, monthly close packages, and rolling forecast updates. Build and maintain driver-based financial models for assigned business areas, including revenue, headcount, and infrastructure cost forecasts. Perform variance analysis that goes beyond what changed, framing the “so what” and surfacing insights that guide better decisions. Support quarterly forecast cycles and annual budget planning by coordinating inputs from department heads and consolidating company-wide views. Contribute to board materials, investor deliverables, and executive reporting packages. Automate and improve recurring workflows. Push for better tools, scripts, and processes, not just cleaner spreadsheets. What we’re looking for Accounting fluency. You understand how the GL works, how accruals flow through the financials, and how actuals are produced. You can bridge the close process and the planning process without someone translating for you. Financial modeling depth. You can build clean, auditable, driver-based models from scratch in Excel or Google Sheets. Data fluency. You can pull, clean, and work with data from multiple systems, including ERP, BI tools, and CRM exports. Clear communication. You can turn variance analysis into insight, not just a table. You frame findings in terms of business impact, next steps, and audience needs. 1–3 years of experience in FP&A, strategic finance, i

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 This role bridges infrastructure and product engineering: you'll build genuine partnerships across product, AI, and enterprise teams so that ownership is shared and velocity is never blocked by platform constraints. As Director, you'll set a forward-looking cloud vision, proactively align with stakeholders across the business, and ensure the platform scales for multi-shard, multi-region growth while meeting security and compliance commitments (SOC 2, business continuity/disaster recovery, and enterprise security frameworks). The Role: Cost Efficiency: Drive significant annual infrastructure savings by migrating data workloads to EKS and self-hosting key services such as OpenSearch. Ingress Convergence: Deprecate legacy frontend ALBs and consolidate to a single EKS-managed ALB per shard, unblocking faster deployments across the org. Coverage & Bench Depth: Eliminate single points of ownership across Networking, OpenSearch, and Terraform through cross-training and targeted hiring into coverage gaps. Stakeholder Alignment: Stand up a recurring alignment cadence with Product, AI, Enterprise, and Security so infra planning is driven by demand, not ad-hoc interrupts. Automation: Ship automated shard buildout via Backstage to remove manual toil from enterprise scaling. Reliability: Cut P0/P1 incidents attributed to Cloud Platform (DNS, ALB misconfiguration) through hardened ingress patterns and Terraform-policy guardrails, including blocking unauthenticated public endpoints. Roadmap Ownership: Deliver a roadmap covering Agent enablement, centralized IaC, and deployment rollout acceleration, tied to AI and

We’re building the Compensation functions with the People team to scale with and support one of the fastest growing companies in tech. We're experiencing tremendous growth worldwide, and you will be key to incentivizing and rewarding employees on this exciting path. As one of the first people in an emerging function, you have a unique opportunity to put your stamp on the role and set the path for the future. 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: Collaborate closely with global business recruiting team on offers in real time as a trusted advisor Consult with and influence HR Business Partners, Recruiting, and Managers + Leadership to help drive compensation decisions and strategy critical for our Go To Market functions (sale, marketing) Use external data and a strong understanding of our business, maintain a competitive and current job catalog for all of our Technical Solutions and General & Administration teams Provide regular updates on industry trends and best practices, especially with respect to stock, to help ensure our overall Compensation strategy is highly competitive Partner with compensation colleagues to support the compensation team’s internal data gathering, modeling, analytics, reporting, and insights, using recruiting intelligence, manager knowledge, and benchmarking surveys to make sure our compensation approach is market-leading, scalable, and internally aligned Identify when our standard program is not meeting the needs of the business and proactively suggest improvements Who You Are: Experience in 5+ years of Compensation work, with expert-level understanding of compensation survey data and providers, and industry best practices You have supported technical solutions and/or general administrati

About the Team OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions. We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like. About the Role As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations. This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world. In This Role, You Will Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions. Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems. Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy. Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-t

About the team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. The Ecosystem team builds and scales third-party integrations around ChatGPT and Codex. We work across product, engineering, partnerships, safety, legal, policy, and go-to-market to create integrations that are useful, trustworthy, and technically sound. About the role We’re looking for an Applied Deployment Engineer to help build and deepen ChatGPT integrations with third-party messaging platforms. The initial focus will be on partner work as well as future opportunities with other messaging apps around the world. This is a hands-on, partner-facing engineering role. You’ll work closely with external product and engineering teams to improve existing integrations, expand capabilities such as image generation, increase retention, and translate partner needs back into OpenAI’s product and engineering roadmap. You should be comfortable writing code daily, making changes across platform or monorepo surfaces when needed, and moving fluidly between technical discovery, product tradeoffs, prototyping, debugging, and executive-level communication. This role is best suited for a strong product-minded engineer with excellent communication skills, sound technical judgment, and the ability to work across cultures, time zones, and organizations. 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: Partner with messenger app product and engineering teams to design ChatGPT-powered experiences that fit naturally into chat, group, contact, and app-tab surfaces. Deepen existing partner integrations, with an initial focus on improving user ex

About the Team At OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure. The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases. We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration. In This Role, You Will: Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences. Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost. Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs. You Might Thrive In This Role If You: Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems. Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning. Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems. Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities. Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence. About OpenAI OpenAI is an AI research and deployment company d

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 Staff Security Engineer, Threat Detection for our Security team. This is a fully remote role open to candidates across the United States. As Snowflake scales globally, we are investing heavily in AI-powered threat detection and response to protect our customers and our environment at cloud scale. This role helps enhance and extend the reach of Snowflake's Threat Detection Program, with AI and automation as core primitives in how we detect, triage, and respond to threats. You will combine deep security expertise with strong engineering skills to build, maintain, and evolve detections and the pipelines that support them, partnering with stakeholders across Security and Engineering to make informed, data-driven decisions grounded in threat models, proactive threat hunts, and exploration of logs and telemetry. AS A STAFF SECURITY ENGINEER, THREAT DETECTION AT SNOWFLAKE, YOU WILL: Develop and deploy detections using modern engineering practices (testing and validation, CI/CD pipelines, detections as code, and a full detection development lifecycle), spanning both rules-based and AI-assisted detections. Mature our threat detection program by analyzing coverage gaps and mitigating risks through detective controls, experimenting with AI/ML approaches where they impr