Aws And Tooling Platform Lead in United States

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. 🚀 Job Summary As a Business Systems Engineer on the GTM Engineering team, you will design, build, and operate the automation and AI systems that power ClickUp's Go-To-Market business — spanning core business products and the integration platforms that connect them. This role is AI-native at its core: you won't just maintain existing workflows, you'll actively advance our GTM systems with intelligent agents, LLM-powered automations, and next-generation integration patterns built on MCP, ClickUp Super Agents, and modern iPaaS tooling. You'll sit at the intersection of business systems architecture and applied AI — partnering with Sales, Finance, Revenue Operations, and fellow GTM Systems engineers to eliminate toil, accelerate revenue workflows, and build the automated, AI-augmented infrastructure the company runs on. This is a hands-on engineering role for someone deeply fluent in enterprise business systems, excited about deploying production AI, and committed to genuine ownership of the platforms they build — directly supporting GTMSOE's broader mission of operational excellence across the GTM org. Key Responsibilities AI-Native Automation & Agent Development Design and build AI-powered automations and agentic workflows across the GTM tech stack — including Salesforce, NetSuite, Workato, and MuleSoft — to eliminate manual effort and accelerate business operations. Develop and deploy ClickUp Super Agents and LLM-based automations to automate tasks such as deal data enrichment, quote generation assistance, order validation, revenue recognition triggers, and exception handling in quote-to-cash workflow

About the Team The SaaS and Software Governance team sits within Corporate IT and helps OpenAI scale from startup-speed tooling to mature enterprise architecture. The team owns practical governance for software, SaaS, integrations, APIs, identity, data access, and agent-enabled workflows, with a mandate to improve security, reduce software sprawl, and help business teams move faster through better foundations. About the Team OpenAI is scaling from an emerging, high-velocity startup into a mature enterprise operating model. The IT Software Architect will help shape the software, SaaS, Data integration, and agent-enabled architecture that lets the company move quickly while improving security, compliance, data quality, and customer, partner, and employee experience. This role is not a traditional ivory-tower architecture function. It is a hands-on governance and enablement role that partners with business teams, IT operations, Security, Procurement, Business Platforms, Applied teams and Data Engineering to guide software decisions, reduce unmanaged sprawl, and build reusable enterprise foundations. Why This Role Matters OpenAI’s software footprint is expanding rapidly across SaaS, internally built tools, agents, integrations, APIs, third-party platforms, and application systems that OpenAI. The company needs a stronger tools architecture layer that can help teams make good decisions early, avoid duplicate tools, govern sensitive data and identities, and identify where OpenAI should build instead of buy. The person in this role will help turn software governance from an approval checkpoint into an enterprise capability: a system that improves speed, reliability, security, and business outcomes. What You'll Do Own the target architecture for enterprise software, SaaS, integrations, APIs, and agent-enabled business systems across Corporate IT. Drive deprecation and consolidate targets for enterprise software. Build lightweight governance patterns that guide teams before

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Optimize cloud financial operations to maximize value from cloud investments, including rapidly growing artificial intelligence (AI) and machine learning workloads Provide actionable insights on cloud spend, SaaS license optimization, and emerging AI cost drivers, including model inference and usage-based consumption Implement tooling, tagging standards, and processes that improve cost visibility and optimization across cloud, SaaS, and AI workloads Monitor large language model API consumption and GPU-intensive infrastructure to identify cost trends, anomalies, and optimization opportunities Build financial models to forecast cloud, SaaS, and AI expenditures for budgeting cycles, commitment decisions, and vendor negotiations Design cost allocation, tagging, showback, and chargeback models that attribute spend to the teams, applications, and use cases driving it Educate engineering and business owners on cloud financial management practices th

About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Safety Engineering team builds the platforms and tools that make OpenAI’s models safe to use in the real world. We partner closely with researchers, product teams, and policy to turn safety ideas into reliable, scalable systems: measuring risk, enforcing safeguards, and continuously improving how models behave in production. Our work sits at the intersection of product engineering, data, and AI, and directly shapes how millions of people experience OpenAI’s technology. About the Role We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle. In this role, you will: Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections) Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration Optimize internal applications f

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 for our Enterprise Security team. The threats facing modern organizations are evolving at an unprecedented pace — driven by AI, cloud complexity, and an ever-expanding attack surface. Our Enterprise Security team is responsible for protecting Snowflake, our employees, and our customers by designing, implementing, and maintaining robust endpoint security solutions at enterprise scale, defending not just endpoints and identities, but the AI-assisted workflows and intelligent systems that define how the modern enterprise operates. AS A STAFF SECURITY ENGINEER AT SNOWFLAKE, YOU WILL: Develop, maintain, and scale Snowflake's endpoint security solutions while actively contributing to architecture and strategy. This includes EDR, DLP, secure browser, MDM, and AI security solutions across a complex multi-cloud, multi-SaaS enterprise environment. Own the technical roadmap for endpoint security tooling as Snowflake rapidly grows. Build intelligent security platforms and automate security operations using AI and robust software engineering. Identify opportunities to reduce toil, increase detection fidelity, and accelerate response through thoughtful, scalable automation. Monitor security events, investigate incidents, and build real-time detecti

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. Vanta’s new Enterprise Resilience team is being formed to support the next era of growth by powering services that are reliable, scalable, and resilient by design. As our customer base expands and our systems scale, we need a dedicated group focused on partnering closely with product engineering teams to build and operate robust distributed systems across all of Vanta’s environments, including our new FedRAMP deployment. In this role, you’ll help define the foundations of reliability at Vanta including shaping best practices, building core infrastructure, and guiding teams as they design services that perform consistently for customers. This team will have a broad and deep impact across product engineering. Your work will influence how every Vanta engineer builds, deploys, monitors, and maintains their services, whether for our commercial environment or regulated customers with more stringent requirements. You’ll develop tools and frameworks that make it easier to detect and remediate issues, improve operational readiness, and support feature development that meets the needs of increasingly large and complex enterprise customers. Vanta engineers design and develop new product functionality and infrastructure using modern frameworks and tooling, including TypeScript, React, Node.js, MongoDB, GitHub Actions, and AWS services such as Fargate and ECS. If you're excited to help define a new function, raise the reliability bar across an entire engineering organization, and build systems that scale with Vanta’s growth, we’d love to meet you. Visit our Vanta Engineering Blog to learn more about what our team is working on! What you’ll

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer on Detection & Response, you’ll help protect OpenAI’s most sensitive assets– including our intellectual property, customer data, and the infrastructure that supports them– by building and operating the systems we use to detect suspicious activity and respond effectively when it matters. You’ll work across endpoints, identity, cloud, hyperscale compute infrastructure, and datacenter-adjacent layers, partnering closely with security teams and infrastructure owners to define the telemetry and response requirements we need and building tooling and automation where it delivers the most leverage. In this role, you will: Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response. Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns. Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain. Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one. Define D&R requirements and drive visibility across endpoin

About the Role We're looking for a Head of Competitive Intelligence to build and lead a world-class competitive intelligence function. This person will transform market signals into strategic advantage by developing the frameworks, analysis, and insights that inform our product strategy, go-to-market approach, and executive decision-making. This is not a research role. It's a highly cross-functional strategy role that sits at the intersection of Product, GTM, Research, and Leadership. You'll establish the systems, operating cadence, and analytical rigor that help the company understand where we win, where we're vulnerable, and how the market is evolving. What You'll Do Build and own the company's competitive intelligence strategy and operating model. Develop and maintain comprehensive competitive assessments, including Harvey Ball analyses, feature matrices, product comparisons, pricing analyses, and market landscape reviews. Create executive-ready competitive insights that influence product strategy, roadmap prioritization, pricing, and investment decisions. Build best-in-class objection handling and competitive messaging for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding, and GTM motions, synthesizing complex information into clear strategic recommendations. Establish repeatable processes and tooling for collecting, validating, and distributing competitive intelligence across the company. Partner closely with Product Management to inform roadmap decisions and identify areas of strategic differentiation. Collaborate with Marketing to sharpen positioning and messaging based on competitive dynamics. Support executive leadership with board-ready competitive analyses and market briefings. Build dashboards and reporting that track competitive movements and emerging industry trends. Develop frameworks that evaluate competitors across capabilities, enterprise r

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Software Engineer to build the research infrastructure and tooling that help OpenAI models design silicon. You’ll turn chip-design workflows into reliable environments for reinforcement learning and evaluation, and make it easier for researchers to run experiments and iterate on new ideas. You’ll move between software engineering, tool integration, and open research problems. We value strong coding fundamentals, clear technical judgment, and independent execution. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build and maintain infrastructure for reinforcement learning environments, evaluations, and long-running experiments. Integrate electronic design automation (EDA) tools into workflows for RTL generation, verification, and physical design optimization. Improve experiment reliability, reproducibility, observability, and performance; debug failures across tools, services, and infrastructure. Develop tooling and model harnesses that let researchers test ideas quickly and measure correctness and power, performance, and area (PPA). Collaborate with researchers and engineers to turn successful experiments into reusable systems and training workflows. Own ambiguous projects end to end, communicate progress, and use results to guide the next iteration. You might thrive in this role if you: Have strong software engineering fundamentals, with

About the Team OpenAI's Research Team is at the forefront of AI research, pushing the limits of what AI can achieve. Our team is dedicated to developing advanced AI systems that are powerful, safe, and beneficial for everyone. About the Role The Research IP Partnerships team is in need of Technical Program Managers (TPMs) to streamline the integration of our applied research with external strategic partners. This role is critical for synthesizing research from cross functional teams, enabling model deployment, and ensuring new technologies are effectively adopted. You will act as the connection that enables our partners to deploy the most advanced AI models. Your primary focus will be to increase our research velocity and ensure that our deployments are successful and collaborative with our partners. This role is based in San Francisco, CA. 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: Build and share a deep understanding of frontier AI model development Partner with internal and external teams to drive deployment of the latest OpenAI technologies Manage critical inquiries from both technical and non-technical partners Design and implement simple, scalable processes that solve complex problems Deliver high-profile pipeline and tooling projects on tight deadlines Work across research and engineering to align goals, streamline communication, and support business priorities You might thrive in this role if you: Have experience in a strategic partnerships and technical program management role Can right-size process to align stakeholders while ensuring speed of delivery (action-oriented) Are fantastic at building cross-functional relationships and having empathy for the many roles involved in deploying research Can design and build tools (via code / no-code / AI) to facilitate internal processes Are a great communicator across written, presentation, and visual forms. Are engaged and c

About the Team OpenAI’s Central Procurement – Hardware Operations team is building scalable, AI-enabled operating foundations for a rapidly growing hardware footprint. We help the business move quickly while maintaining the data quality and controls needed to manage financial and operational risk responsibly. As OpenAI scales across R&D, new-product introduction, manufacturing, and third-party custody models, we are building the foundations to absorb complexity without adding unnecessary friction. That means establishing practical standards, strengthening discipline where it matters, using AI thoughtfully, and continuously improving how teams manage hardware operations. About the Role We are hiring an Asset Compliance Program Lead to establish the cross-business framework that gives OpenAI reliable lifecycle visibility over hardware-related financial assets and capital equipment. You will define the controls, systems roadmap, and evidence practices needed to manage those assets within OpenAI’s financial-control scope. This is a senior individual-contributor role in Central Procurement – Hardware Operations within Finance. Distinct from sourcing and transaction execution, you will partner with hardware business units, Accounting, Financial Risk Management, Procurement, contract manufacturers, and other third-party custodians to deploy practical operating mechanisms. These mechanisms will connect how assets are purchased, built, received, moved, held, verified, and retired with the ownership, data, reporting, and evidence needed for financial governance. The role covers those assets regardless of location or custody, including manufacturing equipment and tooling, supplier- and contract-manufacturer-held assets, leased assets, and other third-party-held equipment. You will stay close to the operational details—how assets move, where records diverge, which controls are not working, and where evidence is incomplete—and use that view to strengthen processes, accountab

ABOUT THE TEAM Critical Harm Operations sits within User Safety & Risk Operations and builds enforcement systems for Frontier Risk and Material Harm that are accurate, fast, defensible, and built to scale. The Cyber vertical turns policy into reviewer standards, calibrated judgment, quality systems, escalation paths, and automation guardrails. ABOUT THE ROLE We are looking for a senior cybersecurity practitioner and operations strategist to raise the quality, scalability, and technical rigor of our Cyber Operations. You will combine hands-on cyber judgment with systems-level operating design: resolve the hardest dual-use questions, evolve SOPs, uplift reviewers and vendors, and build practical tools and automations. This is a senior IC role. Success is not primarily cases closed; it is durable improvement in the operating model and the reviewers who run it. IN THIS ROLE, YOU WILL: Drive the Cyber Operations operating model across domain priorities, SOPs, escalation paths, quality health, vendor capability, roadmap inputs and help inform trusted access strategies. Serve as the senior cyber expert for complex or high-risk decisions across ChatGPT, API, Codex, agents, and emerging product surfaces. Translate policy ambiguity, quality misses, appeals, and reviewer disagreement into clear decision rules, calibration examples, training, and tooling requirements. Build durable operating systems and quality loops: golden sets, holdouts, double-labeling, adjudication, error taxonomies, reviewer calibration, and automation evaluations. Raise FTE and BPO capability through onboarding, certification, coaching, recurring calibration, and vendor-performance partnership. Use quality, appeals, SLA, backlog, and disagreement signals to diagnose root causes and prioritize high-leverage fixes. Build hands-on solutions—SQL analyses, scripts, dashboards, LLM eval workflows, evidence enrichment, routing logic, and lightweight automations—that improve decision quality and reduce manua

About the Role The Engineering Acceleration team builds and operates the foundational systems that engineers use to build, test, and ship ChatGPT, the API, and OpenAI's infrastructure. We are looking for an engineer to help evolve OpenAI's build and continuous integration systems for a fast-growing engineering organization. This role sits at the intersection of developer productivity, build systems, distributed infrastructure, and software quality. You will work on the systems that determine how quickly and confidently engineers can move: Bazel-based builds, Buildkite pipelines, test selection, remote caching and execution, CI observability, and tooling that helps engineers understand and fix failures quickly. Our mission is to make OpenAI one of the most productive engineering organizations in the world while preserving a high bar for correctness, reliability, and safety. The best version of this work is invisible when it succeeds: builds are fast, tests are trusted, CI failures are understandable, and engineers can focus on shipping useful systems instead of fighting infrastructure. In This Role, You Will Own and evolve Bazel-based build and test workflows across a large, polyglot monorepo. Design and maintain Starlark rules, macros, toolchains, and integrations that make builds reproducible, hermetic, and easy for product teams to adopt. Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, test sharding, retry behavior, and flake isolation. Build systems that reduce unnecessary CI work through affected-target detection, dependency graph analysis, test selection, caching, batching, and smarter scheduling. Improve local development workflows so engineers can reproduce CI behavior, debug build failures, and iterate quickly without learning every detail of the build stack. Operate and optimize build infrastructure across Docker/OCI images, Kubernetes-based runners, cloud resources, and remote cache/exec

About the Team The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software our device software is reliable, testable, and ready to ship. We design and maintain build systems, CI pipelines, automated test frameworks, and hardware-in-the-loop labs to enable rapid, safe product launches. Our work spans build systems, developer tools, systems integration, and cross-team collaboration to ensure developers can build reliably and ship with confidence. About the Role We are looking for an engineer to help evolve OpenAI’s Consumer Products build and continuous integration systems for a fast-growing engineering organization. This role sits at the intersection of developer productivity, build systems, distributed infrastructure, software quality, and on-device software. You will work on the systems that determine how quickly and confident engineers can move: Bazel-bazed builds, Buildkite pipelines, test coverage, remote caching and execution, CI observability, and tooling that helps engineers understand and fix failures quickly. Our mission is to enable OpenAI to ship software running on consumer devices rapidly with a high bar for correctness, reliability, and safety. The best version of this work is invisible when it succeeds: builds are fast, tests are trusted, CI failures are understandable, and engineers can focus on shipping products instead of fighting infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In This Role, You Will Own and evolve Bazel and yocto-based build and test workflows in a polyrepo environment Design and maintain Starlark rules, macros, toolchains, and integrations that make builds hermetic, reproducible, and easy for teams to adopt Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, retry b

About the Team The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software our device software is reliable, testable, and ready to ship. We design and maintain build systems, CI pipelines, automated test frameworks, and hardware-in-the-loop labs to enable rapid, safe product launches. Our work spans build systems, developer tools, systems integration, and cross-team collaboration to ensure developers can build reliably and ship with confidence. About the Role We are looking for an engineer to help evolve OpenAI’s Consumer Products build and continuous integration systems for a fast-growing engineering organization. This role sits at the intersection of developer productivity, build systems, distributed infrastructure, software quality, and on-device software. You will work on the systems that determine how quickly and confident engineers can move: Bazel-bazed builds, Buildkite pipelines, test coverage, remote caching and execution, CI observability, and tooling that helps engineers understand and fix failures quickly. Our mission is to enable OpenAI to ship software running on consumer devices rapidly with a high bar for correctness, reliability, and safety. The best version of this work is invisible when it succeeds: builds are fast, tests are trusted, CI failures are understandable, and engineers can focus on shipping products instead of fighting infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In This Role, You Will Own and evolve Bazel and yocto-based build and test workflows in a polyrepo environment Design and maintain Starlark rules, macros, toolchains, and integrations that make builds hermetic, reproducible, and easy for teams to adopt Improve CI performance and reliability across Buildkite pipelines, including queue time, build time, cache hit rates, retry b