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Location: Москва Workplace: Офис Search API — сервис Yandex Cloud, который передаёт внешним клиентам результаты поиска в Яндексе. Мы ищем разработчика для развития сервиса и связанной с ним инфраструктуры. Вас ждут разноплановые задачи на стыке бэкенд‑разработки, платформенной инженерии, надёжности и продуктовой коммуникации. Search API — сервис Yandex Cloud, часть AI Studio. Он передаёт внешним клиентам и партнёрам результаты поиска в Яндексе — индекс из сотен миллиардов страниц. Сервис поддерживает разные виды поиска: текстовый (XML, JSON, HTML), поиск по картинкам, full-text, «инфоконтексты», а также генеративные ответы на базе YandexGPT. Крупные компании и площадки активно используют Search API. С технической точки зрения Search API продолжает классический поисковый XML‑сервис Яндекса и постепенно его замещает. Сервис объединяет две среды: * классическую поисковую инфраструктуру (граф выдачи, правила ранжирования, балансировку нагрузки, системы лимитирования запросов); * облачную инфраструктуру Yandex Cloud (мониторинг, логирование, биллинг, управление квотами клиентов). Команда рантайма полностью отвечает за это соединение — от написания кода до выкладки и дежурства. Её задачи: * давать клиентам единый API, чтобы получать результаты поиска Яндекса в разных форматах; * переносить функции поискового движка портала (генеративные ответы, full‑text, поиск по картинкам) в облачный контур с прозрачным биллингом и квотами; * создавать и поддерживать собственные высоконагруженные сервисы авторизации, лимитирования и сбора метрик по клиентам; * контролировать надёжность и производительность сервиса — от графика выдачи до алертов и дежурства; * связывать продуктовые и технические требования Yandex Cloud с возможностями поисковой инфраструктуры портала. Мы ищем разработчика для развития сервиса и связанной с ним инфраструктуры на стыке разных технологий и команд. Позиция подойдёт тем, кому интересно работать не в рамках одного изолированного сервиса, а на границе классической поисковой инфраструктуры и облачных технологий. В работе предстоит решать много разноплановых задач — на стыке бэкенд‑разработки, платформенной инженерии, обеспечения надёжности и продуктовой коммуникации. Нужно будет изучать чужие системы, находить общий язык с командами, у которых разные приоритеты, и принимать инженерные решения, которые напрямую влияют на клиентов сервиса — тех, кто использует поиск Яндекса в своих продуктах. Обязанности Развитие сервисов Вы будете развивать и поддерживать сервисы команды — высоконагруженный шлюз авторизации и лимитирования и прокси‑сервис для клиентских ручек. Нужно будет работать с банами и лимитами по клиентам, собирать биллинговые метрики, обрабатывать запросы, проектировать и добавлять новые клиентские ручки (например, картинки, чистый веб, полнотекстовый поиск), а также следить за производительностью и латентностью сервисов по мере роста нагрузки. Работа с графом поисковой выдачи Вы будете разбираться в устройстве графа выдачи поиска — системы вершин, которые готовят, авторизуют и формируют ответ на запрос клиента. Нужно будет выявлять причины продуктовых и технических багов в цепочке обработки запроса, а также вносить изменения в конфигурацию и правила, не ухудшая работу остального поиска. Интеграция фич поиска Вы будете интегрировать новые возможности поиска Яндекса (генеративные ответы, full-text, инфоконтексты) в облачный контур: проектировать и реализовывать новые версии внешнего API, рассчитывать себестоимость и производительность фич для корректного выставления цен клиентам, а также согласовывать технические ограничения с продуктовыми требованиями Yandex Cloud. Наблюдаемость и надёжность сервиса Вы будете развивать дашборды и алерты, объединять мониторинг классической инфраструктуры и облака, писать и поддерживать приёмочные и нагрузочные тесты, разбирать инциденты и тяжёлые запросы, а также участвовать в дежурстве вместе с командой. Сервис работает в двух контурах и должен быть предсказуемо надёжным. Инфраструктурные задачи Вы будете настраивать взаимную аутентификацию между внутренними сервисами, разделять и масштабировать бэкенды под разные типы нагрузки, работать с большими объёмами данных — хранить биллинговую и аналитическую информацию, обрабатывать логи. Больше о том, что под капотом платформы Yandex Cloud, — в канале Inside Yandex Cloud Требования * Имеете уверенный опыт промышленной бэкенд‑разработки на C++, Go или Python * Работали с высоконагруженными распределёнными сервисами: латентностью, лимитами запросов, деградациями, отказоустойчивостью * Понимаете принципы проектирования API и интеграций между сервисами * Понимаете observability: метрики, логи, трассировку, алерты * Готовы разбираться в чужой инфраструктуре и legacy‑коде: портал и облако — исторически два разных технологических стека, и задача команды — уметь их стыковать * Самостоятельны: многие задачи не имеют готового решения и требуют исследований — чтобы найти причину бага в графе выдачи, оценить себестоимость новой фичи, сравнить производительность между дата‑центрами и регионами Будет плюсом * Работали с системами обработки больших данных: MapReduce‑подобными системами, распределёнными хранилищами * Работали с Yandex Cloud или другими облачными платформами: занимались мониторингом, деплоем, работали с инфраструктурой как кодом * Работали с графовыми или пайплайновыми системами обработки запросов * Имеете опыт продуктовой коммуникации на стыке нескольких команд — общались и с поисковой командой портала, и с продуктовым либо бизнес‑контуром Yandex Cloud

Location: Belgrade; London; Berlin Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling. This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows Responsibilities - Build and operate scalable, low-latency infrastructure for search serving and retrieval. - Design and improve distributed backend systems that handle high request volumes. - Debug and optimize Linux systems, containers, networking, and production services. - Improve reliability through observability, capacity planning, performance profiling, and incident response. - Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes. - Build internal tools and automation for development, testing, debugging, and infrastructure operations. - Improve CI/CD pipelines, release processes, and production rollout safety. - Contribute directly to product codebases across Rust, Go, and other systems languages. - Own systems end to end, from architecture and implementation to deployment and production operation. Requirements - Strong experience with cloud infrastructure, distributed systems, and automation. - Deep understanding of Linux internals, performance analysis, and production debugging. - Experience building or operating latency-sensitive, high-throughput backend systems. - Experience with containers, orchestration, observability, and infrastructure as code. - Experience building or maintaining CI/CD systems and release tooling. - Fluency in at least one systems language, such as Rust, Go, C++, or Java. - Comfort working across infrastructure and application-level code. - Strong ownership and the ability to operate effectively in a fast-moving environment. Nice To Have - Experience with search, retrieval, ranking, or other large-scale data-serving systems. - Experience operating Rust services in production. - Experience with AWS, Kubernetes, and modern observability systems. - Experience with profiling, capacity planning, and performance optimization. - Experience building AI-assisted developer or operational tooling.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We’re looking for a Software Engineer to join our Platform team. You will build the observability systems that give Vercel visibility into how we build, ship, and operate our systems. Core Platform owns Vercel’s reliability, resilience, and engineering velocity. We’re looking for engineers to create observability for everything from cost attribution to deployment velocity, alongside the logs, metrics, and traces necessary to optimize how Vercel builds its systems. This is a role with a wide breadth where we quickly develop critical systems and improve the entire Vercel code base. You will report to Eric Larson, Engineering Manager, Platform and will be located onsite, hybrid, or remote. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. What you'll do Design and build high-scale, internal observability systems (metrics, logs, and traces) that give engineering and the business visibility into Vercel's own infrastructure. Build cost attribution and chargeback tooling so spend can be accurately mapped to the parts of the business driving it, reducing reliance on third-party tools like Datadog. Partner with Backend and Platform teams to instrument services for compliance, auditing, and record-keeping requirements. Evaluate, integrate, and help operate observability infrastructure across our existing vendors and the CNCF ecosystem. Ship pragmatic, high-leverage visibility quickly that drives improvement in how we build, deploy, and operate our systems. Work closely with Backend and Platform engineers to scale observability infrastructure to the throughput and cardinality of Vercel's full production traffic. What you need Proficient in TypeScript, with backend/infrastructure experience. Hands-on experience with Go, Rust, or Zig in production systems. Experience with distributed computing systems at scale. Experience with cloud infrastructure, including object storage. Familiarity with observability tooling and concepts (Datadog, Grafana, New Relic, Splunk, or CNCF-based stacks such as Prometheus-compatible backends). Bonus if you Have contributed to or worked closely with CNCF observability projects. Built, scaled, and improved internal developer platforms. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000-$312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for software engineering interns who are excited to make an impact across different layers of our product and infrastructure. At Figma, we pair interns with teams that align with their skills and interests. This year, we're inviting you to share your interests from the start, so we can create the strongest possible match. Our interns are embedded into small, collaborative engineering teams across the company. You'll work closely with your mentor and teammates to ship meaningful features, tools, or systems. Whether you're working on internal infrastructure or user-facing features, you'll get to learn, contribute, and grow in a supportive environment. This internship will be based out of our San Francisco or New York Hub with a 5/3, 5/17, 6/1 or 6/14 start date. Engineering Interests at Figma: When you apply, you'll tell us which areas you're most interested in to help us understand which kinds of engineering work you're most excited about: Product: Build full stack user facing features, including new collaboration tools, new product workflows, growth oriented experiments, and more Backend/Infrastructure: Build platform level tools, including distributed systems, developer tooling, performance/scalability work, and more Security Engineering: Build security-focused systems, product security tooling, detection, secure infrastructure, or privacy/security features Open: I'm flexible and still exploring different types of work What you'll do at Figma: Be fully embedded onto a Figma engineering team Contribute to projects that directly align with team goals and impact Collaborate with engineers, PMs, designers, and QA to break down features and plan timelines Build, document, and maintain tests, features, or infrastructure Share feedback and participate in peer code review Ship your project(s) by the end of your internship! Some past intern projects: Diagramming improvements in FigJam Smart selection Shared fonts We'd love to hear from you if you have: Experience writing clean code in at least one general-purpose language (e.g. C++, JavaScript, Python, Java, etc.), with a solid grasp of core CS concepts like data structures and algorithms Experience solving technical problems through school, work, or personal projects Are excited to explore how systems are designed and operate, from infrastructure to UI Strong communicator who asks great questions, collaborates well with others, and is excited to learn, get feedback, and grow as an engineer While it’s not required, it’s an added plus if you also have: Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $55 — $55 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. 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: Millions of people use Notion every day, and we’re growing quickly. The Infrastructure Security team’s mission is to build a secure-by-default foundation across Notion’s technical stacks—architecting systems that make the secure path the easy path. As an IC4 on this team, you’ll own meaningful infrastructure security problems end-to-end: from identifying risk, to designing pragmatic controls, to shipping secure defaults that scale across engineering. 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: - Proactively enhance the security posture of our AWS accounts and cloud infrastructure. - Create secure frameworks for secrets management and authentication/authorization. - Design and deploy robust Identity and Access Management (IAM) solutions. - Provide guidance and education on security and privacy best practices to cross-functional partners. - Participate in (and help drive) mitigation strategies during security-related incident response.   SKILLS YOU'LL NEED TO BRING: - Security architecture and expertise: you’ve built and maintained systems to secure cloud architectures, ranging from secrets management to Identity and Access Management solutions. - Backend/infrastructure development: you’ve written and shipped production-grade code, and can contribute to the codebase and architecture to raise the bar on secure systems design. - Working in production: you can debug systems in production and continuously improve components with minimal disruption. - Pragmatic, risk-based prioritization: you model threats, balance trade-offs, and focus security investments where they drive the most business impact. - Empathetic communication: you communicate nuanced ideas clearly in writing and in real time; in disagreements, you engage thoughtfully and look for the right compromise.   NICE TO HAVES: - AWS security best practices, zero trust architectures, and/or deep IAM expertise. - Data security or privacy engineering experience. - Experience applying AI tooling to defensive security workflows. - Participation in security communities (local or regional groups, conferences).   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 or New York City, the estimated base salary range for this role is $230,000 - $280,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Belgrade Workplace: Hybrid Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers. - Design internal tools and automation to improve developer workflows and operational efficiency. - Support the design, deployment, and monitoring of cloud-native systems on AWS. - Contribute to improving CI/CD pipelines, testing infrastructure, and release processes. - Debug and optimize Linux-based services, containers, and backend systems. - Contribute to product codebases, primarily using Rust, Go or C++. Qualifications: - Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects. - Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement. - Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance. - A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: United States; Canada Workplace: Remote 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. 🚀 We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverage, high-autonomy role where you'll set the technical bar for the team, drive cross-functional alignment on data infrastructure strategy, and solve our hardest engineering problems. You'll operate across AWS serverless technologies, Snowflake, dbt, and Terraform, but your impact goes well beyond any single tool: you'll shape how we think about reliability, scalability, cost, and developer experience at the platform level.   This role is for someone who doesn't just build great systems, but makes the engineers around them better. The Role: - Own the technical architecture of ClickUp's data platform, making design decisions that balance scalability, cost, reliability, and velocity. - Define and drive the technical roadmap for data infrastructure in partnership with leadership. - Design systems at scale: build frameworks, abstractions, and patterns that other engineers use daily. - Lead complex, cross-team technical initiatives spanning data engineering, analytics engineering, data science, and data analytics. - Drive cost optimization across cloud infrastructure and compute, turning efficiency into a competitive advantage. - Build and evolve our data pipelines using AWS serverless (Lambda, Fargate, Step Functions, Kinesis, S3, DynamoDB, Aurora), Snowflake, and dbt. - Establish and champion engineering standards: observability, testing, CI/CD, code review, and documentation practices. - Design and maintain infrastructure for AI/ML workloads, including LLM frameworks, feature pipelines, training data systems, and model monitoring. - Mentor senior engineers, provide technical guidance through design reviews, and raise the overall engineering quality of the team. - Influence org-wide technical decisions and represent data engineering in company-level architecture discussions. Qualifications: - Significant professional experience in data engineering or backend/infrastructure engineering, with at least 3 years operating at a senior or staff level. - Proven track record of owning architecture for data platforms or large-scale distributed systems. - Deep expertise in AWS cloud services (Lambda, Fargate, Step Functions, S3, Kinesis, DynamoDB, Aurora) and infrastructure as code (Terraform and/or CDK). - Expert-level SQL and Snowflake (or equivalent cloud data warehouse) knowledge, including performance tuning and cost optimization. - Strong experience with dbt and modern ELT/ETL patterns at scale. - Advanced Python skills with emphasis on building reusable libraries, frameworks, and tooling. - Hands-on experience with orchestration frameworks (Airflow, Dagster, or Prefect) in production environments. - Experience building data infrastructure for AI/ML: feature stores, training pipelines, embedding pipelines, model serving, or LLM integration. - Deep understanding of streaming and event-driven architectures (Kinesis, Kafka, or equivalent). - Mastery of CI/CD, Git workflows, containerization (Docker), and deployment automation. - Strong communication skills: ability to write technical RFCs, influence without authority, and translate complex trade-offs for non-technical stakeholders. - Track record of mentoring and growing engineers, with a multiplier mindset. Desirable - Experience operating data platforms at high scale (petabyte-level warehouses, millions of events/sec). - Familiarity with data mesh or data product paradigms. - Experience with FinOps practices and cloud cost management at scale. - Prior experience in a technical leadership role without direct reports (staff/principal IC track). - Contributions to open-source data tools or technical communities. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. 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