Large Enterprise Account Executive in United States

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role This is an opportunity to serve as a key partner and advisor on Notion’s Business Operations team, working primarily with our Engineering, Product, & Design teams. Business Operations is a cross-functional team that partners with senior leaders across the company, focusing on high-impact strategic projects and analysis. In this role, you’ll work hand-in-hand with leadership to identify, structure, and act on the most challenging strategic and operational questions impacting our business. This role is based in San Francisco, CA. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve Build trusted relationships with cross-functional leaders to define and implement strategy across all Notion products, driving increased value to our users and our business Structure complex, ambiguous strategic problems for the Notion leadership team, defining clear hypotheses and building detailed business cases and quantitative models that will

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: This role will be based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. You’ll build the systems that let any knowledge worker leverage fast, scalable databases without having to become a DBA. You’ll be a hands-on technical leader, helping set the architectural direction and roadmap as we take a new product from early alpha to general availability. You’ll work directly with early customers to shape foundational technical and product decisions. Then, together, we’ll work on scaling as adoption and workloads grow. This is a backend-leaning role with work spanning the stack. You might build the systems that provision and manage a fleet of customer Postgres instances, design how user-defined schemas evolve safely, or make complex queries execute efficiently. You’ll also follow those systems into the product: improving how a table loads, how users understand a slow operation, or how an agent safely works with their data. You’ll

Datadog AI Research — Scholars Program with Carnegie Mellon University Datadog AI Research (DAIR) is partnering with Carnegie Mellon University to support a small number of PhD students working on open research problems grounded by ongoing efforts at Datadog/DAIR. You will frame a problem, run your own experiments, and write up what you find, with compute and data at a scale most academic labs cannot provide. You will collaborate with colleagues working on the same questions. The Lab And The Research: DAIR is an industrial research lab motivated by practical challenges in observability and software operation: detecting and diagnosing failures, understanding complex production environments, and helping engineers operate software more effectively. The lab focuses on creating specialized foundation models, post-training and evaluating AI agents, and building frontier-scale machine learning systems. By combining fundamental research with Datadog's large-scale, real-world data and infrastructure, the lab develops new AI capabilities and translates them into practical systems with meaningful impact. Internship projects are shaped with your DAIR mentor and your CMU faculty advisor. You do not need prior experience with observability, monitoring, or infrastructure. What You'll Do: Own a research project end to end: framing the question, running the experiments, writing it up Work directly with a DAIR mentor engaged in the same problem, and stay connected to your advisor and lab Publish, and use the work toward your dissertation See research reach production, when it works Who You Are: Currently enrolled in a PhD program at Carnegie Mellon in machine learning, computer science, statistics, or a related field Depth in at least one area relevant to the research above Comfort running real experiments — training models, working with GPUs, reading and reimplementing recent papers Evidence you can do research: conference or workshop papers, preprin

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: As Notion’s product surface expands, we need a builder-teacher who can turn new capabilities into technically accurate education that helps customers confidently build with Notion. In this role, you’ll explore Notion’s newest capabilities, teach by showing, and ship as the product evolves. You’ll be the technical face of Notion Academy: leading workshops, recording walkthroughs, and building implementation guides. This role is based in New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: By day 90: Expand Notion’s technical education library. Author technically rigorous Academy content, implementation guides, and Help Center resources that make our most complex capabilities easier to understand and adopt. By day 90: Become a trusted voice for Notion Academy. Teach customers through video, live webinars, and workshops, demonstrating real workflows and solving problems in real time. By day 90: Build with Notion’

About the Team OpenAI's Industrial Compute organization builds and operates the infrastructure required to train and serve frontier AI models. The Capacity Planning team connects rapidly changing research and product demand with the compute, networking, storage, power, data center, hardware, and operational resources required to make that demand executable. About the Role We are seeking a Technical Program Manager to build and lead capacity planning across OpenAI's large-scale AI infrastructure. You will translate uncertain workload demand into clear infrastructure requirements, allocation decisions, supply commitments, activation priorities, and long-range capacity strategies. This role sits at the intersection of research, engineering, infrastructure, finance, sourcing, deployment, and operations. You will create the planning models, operating cadences, governance mechanisms, and source-of-truth systems that allow teams to understand what capacity is required, what is available, what is at risk, and what decisions must be made. This is not a finance-only forecasting or reporting role. Success requires technical fluency across the infrastructure stack, strong analytical judgment, and the ability to move consequential decisions forward when requirements, timelines, and supply conditions change quickly. Key Responsibilities Own capacity-planning processes across near-term workload allocation, quarterly execution, and longer-range infrastructure horizons. Translate research, training, inference, and product demand into compute, accelerator, cluster, networking, storage, rack, power, and site requirements. Develop scenarios that make assumptions, confidence levels, constraints, sensitivities, and decision points explicit. Reconcile requested demand against contracted, delivered, installed, activated, and workload-usable capacity. Partner with research and engineering teams to understand workload priorities, technical dependencies, utilization patterns, and changing req

About the Team The ChatGPT Search Product Infrastructure team builds the foundational systems that power search experiences across ChatGPT. We develop the product infrastructure that connects models with search systems and other sources of real-time information, enabling ChatGPT to deliver timely, relevant, and trustworthy answers to users around the world. Our work sits at the intersection of product engineering, AI, and large-scale infrastructure. We build shared platforms and abstractions that enable product teams to independently develop, evaluate, and launch new search-powered experiences. These platforms provide the guardrails, testing capabilities, observability, and rollout controls needed to prevent reliability, scalability, quality, and latency regressions while supporting rapid product iteration. The team partners closely with: Post-Training on model launches, experimentation, and prompt optimization Search product verticals on new user experiences Inference on GPU efficiencies Indexing and Retrieval on the systems that identify and deliver relevant information Capacity/Fleet team to ensure optimal regionalized provisioning of GPUs and CPUs About the Role We are looking for an Engineering Manager to lead the team responsible for ChatGPT’s Search Product Infrastructure. You will set the technical and organizational direction for the systems that bring search capabilities into ChatGPT. You will guide architectural decisions across search orchestration, model and prompt integration, serving infrastructure, experimentation, observability, evaluation, and product integrations. You will balance immediate launch and product needs with the long-term reliability, scalability, latency, and maintainability of the platform. A central responsibility of this role is creating leverage for Search product verticals. You will lead the development of extensible platforms that allow those teams to independently build, test, and launch features without requiring ongoing invol

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role This role is based in New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. This role sits on Notion’s Creative Studio, a small team of designers, illustrators, and filmmakers. Our work tells the story of our offering in a way that reflects the products themselves: smart, refined, and with a dash of wit on the side. As a Brand Designer, you’ll work on high-impact brand initiatives and campaigns: setting direction from early strategy through final execution, partnering closely with stakeholders and executives, and raising the bar for craft and systems. You’ll be asked to define approaches, resolve ambiguity, and influence both project outcomes and how the team works. What You'll Achieve Concept, art direct and design high-visibility moments from brand campaigns, product launches, and events, developing approaches that can scale across a broad range of surfaces, moments, and channels. Contribute to our brand systems and develop standa

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: As Manager, Enablement Programs, you will own the programs and operating system that help sellers ramp fast and execute with confidence — from global onboarding to role-readiness, Field OS, and AI-enabled enablement workflows. This role exists because we’re evolving our Enablement and GTM motion, and we need a leader to drive that change: set the standard for what “great” looks like in the era of AI, build an AI-native enablement model, and own the agentic workflows that help the field execute. What You'll Achieve: By day 90: Build the first version of the Field OS as a seller-ramp unlock (priority workflows, trusted resources, and AI-enabled execution moments by role). By day 90: Map and prototype the core custom agents that help sellers ramp faster and apply the right support at each stage of the sales process. By day 90: Refresh onboarding around continuous iteration (A/B testing, measurement, and role-specific alignment to the sales process) and implement onboarding engagement + impact metrics. By day 90: Stand up a dedicated manager onboarding track to help managers ramp faster and reinforce new-hire success cons

About the Team OpenAI’s Industrial Compute team is building and productizing infrastructure capabilities that help organizations deploy and operate advanced AI systems at scale. The team works across AI hardware, systems engineering, physical infrastructure, and customer delivery to turn emerging technologies into reliable, repeatable infrastructure solutions. Our work sits at the intersection of technical strategy, product development, engineering, and deployment. We partner closely with customers and internal engineering teams to solve complex infrastructure challenges spanning compute, power, cooling, controls, and facility efficiency. About the Role We are seeking a senior, hands-on Data Center Infrastructure Architect to develop and optimize the physical infrastructure required for large-scale AI deployments. This is a broad technical role spanning data center architecture, electrical and mechanical systems, high-density compute, controls, telemetry, and digital modeling. You will use simulation, operational data, and digital-twin approaches to evaluate infrastructure designs, identify system-level constraints, and improve efficiency, reliability, cost, and speed of deployment. The ideal candidate can move fluidly between first-principles analysis, facility and equipment design, computational modeling, engineering review, and real-world implementation. You should be comfortable working across disciplines rather than operating solely within electrical, mechanical, or software boundaries. Key Responsibilities Define system-level architectures for high-density AI data centers across power, cooling, IT equipment, controls, and facility infrastructure. Develop digital twins and other computational models that represent the behavior of data center systems under changing workloads, environmental conditions, equipment configurations, and failure scenarios. Use design and operational data to identify constraints, improve PUE and related efficiency metrics, and optimize

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Skills You'll Need to Bring: Nice to Haves: (Delete non-relevant language below) SF Only Roles Roles without incentive compensation: Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $[min] - $[mid] per year. Roles with incentive compensation (Sales AE) Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the c

POSITION SUMMARY You will be responsible for managing the clinical sample logistics function for Pfizer’s vaccine clinical portfolio, ensuring samples are transported safely, compliantly, and reliably across domestic and international clinical trial networks to the Pearl River, NY biorepository and then distributed to our network of internal and external testing laboratories. You will lead an end-to-end logistics strategy from study start-up through operations and finally sample disposition. Your responsibilities include leading a large team, improving global logistics capabilities, advancing digital and automation initiatives, and partnering with Vaccines, Quality, Legal, Finance, Compliance, clinical study teams, couriers, and technology vendors. You will be accountable for maintaining sample integrity, enabling global clinical trial execution, and developing scalable logistics processes to support Pfizer’s vaccine pipeline. KEY RESPONSIBILITIES Lead the global sample logistics function--Provide strategic and operational leadership for a team of 40+ colleagues responsible for domestic and international shipment execution, study start-up support, ongoing operations, and clinical sample lifecycle management. Shape long-term sample logistics strategy. Develop scalable operating models, governance frameworks, and business continuity plans that support pipeline growth, clinical trial expansion, and evolving global regulatory expectations. Protect sample integrity and compliance. Ensure reliable, temperature-controlled movement of clinical biological samples while maintaining adherence to applicable FDA, EMA, IATA, DOT, CDC, trade compliance, GCLP, and Pfizer quality requirements. Advance inspection readiness and quality oversight. Maintain robust documentation and audit-ready processes for deviation management, CAPAs, change controls, an

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 Senior Software Engineer Overview Join a team focused on transforming how Mastercard's payment systems are built, scaled, and operated. As a Senior Software Engineer, you will lead the design and development of cloud-ready applications, microservices, and distributed systems that support large-scale payment processing platforms while helping advance modernization, automation, and engineering excellence across the organization. In this role, you will contribute to software architecture decisions, drive technical design discussions, and partner with engineers to deliver scalable, resilient, and maintainable software solutions. You'll have the opportunity to solve complex technical challenges, mentor other engineers, and influence how software is designed, developed, tested, and supported across critical technology platforms. What You Will Do •Design software solutions and contribute to software architecture decisions that support scalability, maintainability, and operational excellence. •Translate complex product requirements into technical designs and implementation plans. •Lead development of modular, extensible, high-performance applications. •Design and implement comprehensive unit, functional, and integration testing strategies. •Analyze, optimize, and improve application performance, scal

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 Software Engineer II Overview Join a team focused on transforming how Mastercard's payment systems are built, scaled, and operated. As a Software Engineer II, you will design and develop cloud-ready applications, microservices, and APIs that support large-scale payment processing platforms while helping advance modernization, automation, and engineering excellence across the organization. You'll work on scalable backend systems, contribute to platform modernization initiatives, and collaborate with engineers to deliver reliable software solutions. This role is ideal for someone who enjoys solving technical challenges, building production-ready applications, and continuously improving how software is designed, developed, tested, and supported. What You Will Do •Design software components by translating product requirements into scalable technical solutions. •Contribute to software architecture decisions and technical design discussions. •Build modular, extensible, maintainable, and performant applications. •Design, execute, and maintain unit, functional, and integration tests. •Apply secure coding practices throughout the software development lifecycle. •Participate in code reviews and contribute to engineering quality standards. •Support system performance optimization, scalability impr

NVIDIA is seeking a Senior Software Engineer to help us develop distributed storage services for AI/ML. In this role you will work closely with the broader NVIDIA team to design and build a reliable, scalable, and efficient storage-as-a-service tailored to AI applications that can be deployed anywhere and scale without limitations. This service supports the whole NVIDIA critical business from graphics drivers to autonomous vehicles to deep learning frameworks. To achieve this goal, we are looking for an engineer with a deep understanding of distributed systems, outstanding design skills, and a track record in building and delivering large-scale distributed services. What you will be doing: Leading the overall architecture and design of our distributed storage service optimized for AI/ML Develop and maintain distributed, robust and scalable Go programs deployed to state of the art open-source ecosystems, including Kubernetes. Develop and maintain user-space applications, containers, Go-bindings, and CLI tools. Building features for a distributed storage service to enhance availability and reliability for large-scale deployments Engaging and collaborating with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services. Automating distributed storage service end-to-end, including deployment, management, and monitoring What we need to see: Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 8+ years of industry experience Strong background in developing distributed systems involving Golang, Kubernetes, and Cloud Service Provider integrations Strong track record of delivering distributed services in a variety of distributed computing environments Experience in i

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment an