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Location: Hybrid - San Francisco 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 As a Software Engineering Intern for Winter 2027, you'll join a Vercel engineering team and ship production code that customers use. By the end of your internship, you'll have scoped, built, and shipped an end-to-end project, with mentorship from the engineers who own the system. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you’ll do Own an end-to-end project: scope it with your manager, build it, and ship it to customers Write production code and review pull requests alongside the engineers who maintain it Debug live systems by tracing issues through the stack and fixing the root cause Post written progress updates and flag blockers as soon as they come up What you need Currently pursuing a degree in Computer Science, Engineering, or a related field, graduating in Fall 2027 or Spring 2028 Built and shipped at least one project in JavaScript or TypeScript, through coursework, a prior internship, open source, or your own work Use AI coding tools in your daily workflow, and can explain and debug every line you ship Bonus if you Have written code in Go or Rust Have contributed a merged pull request to an open-source project 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: Hybrid - San Francisco 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 As a Software Engineering Intern for Summer 2027, you'll join a Vercel engineering team and ship production code that customers use. By the end of your internship, you'll have scoped, built, and shipped an end-to-end project, with mentorship from the engineers who own the system. This is a hybrid role based in San Francisco, in the office on Monday, Tuesday, and Friday. What you’ll do Own an end-to-end project: scope it with your manager, build it, and ship it to customers Write production code and review pull requests alongside the engineers who maintain it Debug live systems by tracing issues through the stack and fixing the root cause Post written progress updates and flag blockers as soon as they come up What you need Currently pursuing a degree in Computer Science, Engineering, or a related field, graduating in Fall 2027 or Spring 2028 Built and shipped at least one project in JavaScript or TypeScript, through coursework, a prior internship, open source, or your own work Use AI coding tools in your daily workflow, and can explain and debug every line you ship Bonus if you Have written code in Go or Rust Have contributed a merged pull request to an open-source project 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.

Plurio is an AI agent that automates media buying on Meta, Google, and TikTok for teams spending $300K–$15M a month, handling daily analysis, optimization calls, and execution directly in ad accounts. The system runs over $500M/year in ad spend and has grown 5× since March. The role involves owning the Meta Ads methodology encoded as deterministic rules and skills within the AI agent, improving and testing the algorithm to run Meta media buying end to end from inputs like goals, parameters, and creatives. Responsibilities include maintaining a single source of truth methodology, improving it by generating and testing hypotheses on historical data, building a testing machine to automate testing cycles, and creating implementation and control skills for account audits and adaptations. The ideal candidate is a top expert in Meta methodology with experience running media buying at scale (~$500K+/month), possessing deep knowledge of Meta account architecture, creative testing, data analysis, and decision logic beyond simple rules. They should be AI-native, able to build pipelines and automation by hand, and convert logic into deterministic skills backtested before deployment. The team includes top performance marketing and product experts from major agencies and ad platforms. The position offers up to $180,000/year gross, remote work worldwide within UTC+5 timezone, provided tools including AI infrastructure, 50% education cost coverage, two weeks vacation twice a year plus holidays, and employment via Deel contract. Application is through the "Apply for this role" button on the provided link, followed by recruiter contact and interviews with leadership.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of interactions. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. We are also the stewards of our members' most sensitive data, and building privacy in by design is core engineering work for us, not an afterthought. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career path. 🛠️ THE STACK Python/Flask, Typescript, React on the coding side. AWS, GCP, Kubernetes, PostgreSQL, Redis, Terraform/Terramate, Datadog, Cloudflare, GitHub Actions on the platform side, all in a monorepo. We deploy daily and believe in distributed ownership - you build it, you own it. 🤖 THE TECH FOUNDATIONS AREA 🎯 Mission: Tech Foundations enables product crews and creates the environment to thrive—combining world-class infrastructure, intuitive developer experience, exquisite operational excellence, and built-in security to make shipping exceptional products effortless. 🔭 Scope: 1. Infrastructure enablement for product crews (e.g. hosting improvements https://www.qovery.com/case-study/alan-case-study/, CI/CD https://medium.com/alan/moving-our-ci-cd-to-github-actions-40df3f7e4733, scalability, multi-cloud architecture) 2. Security and compliance facilitation (e.g. authentication, encryption, threat protection) 3. Developer productivity enhancements (e.g. local environment setup https://medium.com/alan/our-journey-from-react-native-to-expo-for-mobile-app-development-at-alan-%EF%B8%8F-3b1569e8ab7c, monorepo tooling https://medium.com/alan/building-debug-tooling-for-engineers-and-support-teams-alike-34cab315b9cc, observability, tech stack evolution, accessibility audits) 4. AI-assisted engineering enablement (e.g. agentic development, code assistants, MCP servers) 👀 Focus for 2026: In 2026, we will grow the team significantly to further increase our impact. We want to expand our cloud footprint with a revisited multi-cloud strategy as we expand internationally, while we’re elevating the quality bar, from infrastructure to code foundations (backend/frontend/mobile). We are also evolving our AI-augmented development, by putting AI code assistants as a first-class citizen for everyone, including non-engineers. Ultimately we have massive ambitions around our Security stack and posture with enhanced tools and processes to protect our developers and users. ⭐ IS IT YOU WE’RE LOOKING FOR? EXPERIENCE WE VALUE - 3+ years in full-stack software engineering roles - Experience building internal tools, frameworks, CLIs, or libraries that improve developer workflows - Experience fixing scalability issues and/or bottleneck in the software development lifecycle, from writing code to deploying to production MINDSET WE VALUE - You think in terms of developer experience: engineers are your customers - You are collaborative, humble, and motivated by enabling others - You simplify complexity with elegant abstractions and maintainable code - You're excited about AI and automation in engineering workflows - You are fluent in English (no French required) - But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🌍 HOW WE WORK - Location: You must be legally eligible to work in France, Belgium, or Spain. - Remote work: We offer remote work flexibility, but we value in-person collaboration 🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the Role We’re looking for a new-generation AI builder — someone between a software engineer, prompt engineer, automation hacker, and product innovator. This is not a traditional SWE role. You’ll work on AI-native products, internal agents, automations, and experimental workflows powered by the latest frontier models, open-source tooling, MCP ecosystems, and multimodal systems. You should be the kind of person who constantly explores what’s happening in AI: - new agent frameworks - open-source tooling - AI video & creative workflows - MCP servers - coding agents - automation stacks - multimodal systems - new product patterns emerging every week You don’t just follow trends — you prototype them. WHO WE’RE LOOKING FOR You might be a fit if you: - Are a hustler who ships fast and experiments constantly - Have strong intuition for building new AI-native products and workflows - Stay deeply plugged into the AI ecosystem and emerging tooling - Understand how modern AI agents actually work under the hood - Can automate things quickly and creatively - Think in systems and workflows, not just prompts - Have strong product taste and curiosity - Thrive in fast-moving, ambiguous environments - Learn new tools obsessively fast MUST-HAVE SKILLS - Experience with JavaScript or Python (ideally both) - Comfortable building prototypes, automations, and internal tools - Understanding of: - LLMs - tokens/context windows - APIs & CLI tooling - MCP ecosystems - agent frameworks - tool use & orchestration - RAG / retrieval concepts - Experience using modern AI coding workflows and AI-native tooling - Ability to quickly turn ideas into working demos or systems BIG PLUS - Experience with ML or training/inference infrastructure - Experience with multimodal or video-generation tooling - Familiarity with open-source AI ecosystems - Experience building agentic systems or autonomous workflows - Strong vibe-coding energy WHAT YOU’LL WORK ON - Build AI-native internal and external products - Prototype new agentic workflows and automation systems - Explore frontier AI tooling and identify new product opportunities - Experiment with multimodal generation systems - Build automations across engineering, creative, and operational workflows - Work closely with product, infra, and research teams - Help the company stay ahead of where the AI market is going THE DEAL - Top-of-market compensation in USD. - Small team, high autonomy, and outsized impact. - On-site role in our Almaty office (we will relocate you from anywhere).

Location: Germany - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: You will assess a prospect’s technical requirements and apply extensive knowledge of Chainguard products to illustrate how a deal will satisfy the client’s unmet needs. You will cultivate relationships with decision-makers at all levels of an organization and negotiate the competing needs of multiple stakeholders within an organization. You will secure technical wins using methods such as demos, RFP/RFI responses, lead POVs, partner with engineering for requested features, and participate in conferences and industry events (when applicable). What you'll do: Partner with our Sales Team to help customers evaluate and prove the value of our solution Focus on acquiring new customer “logos” in addition to growing existing customer base Own all technical aspects of sales opportunities and assisting current customers understand the value of Chainguard Day to day responsibilities include: Listen to our customers and understand their challenges Conduct product demonstrations and POVs/POCs Actively participate in webinars, meetups, conferences and other marketing initiatives What we're looking for: Experience as a Sales Engineer / Pre-Sales Engineer Experience with MEDDPICC and or Command of the Message sales frameworks Experience selling into Enterprise (3+ years) and Mid Market prospects Experience in the following areas: Container technologies (Kubernetes, Serverless, Docker) Cloud technology (AWS, Azure, Google, etc.) Cloud security or containers security App Security Startup experience Smart and passionate people that can persevere to success. People acting as trusted advisors, able to build credibility with customers. Strong team players committed to help and mentor their peers. German and English speaker *Must be located in Germany* About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Technical Program Manager on GitLab's all-remote R&D PMO team, you will own complex, end-to-end programs that are central to our AI-powered DevSecOps strategy. You will drive high-priority initiatives across product, engineering, data, and security teams, transforming strategic vision into executable plans that deliver innovative capabilities like the GitLab Duo Agent Platform and next-generation developer tools. You will work closely with executive leaders and cross-functional stakeholders, serving as the bridge between strategy and execution through clear communication, proactive risk management, and structured program delivery. In your first year, you will independently lead strategic programs, driving predictable execution, thoughtful tradeoffs between quality and speed, and transparent stakeholder alignment. Some examples of our projects: Leading the GitLab Duo Agent Platform from GA through enterprise adoption, including customer onboarding, support models, and billing integration for AI-driven capabilities Delivering data-intensive platform initiatives that enhance developer productivity and enterprise analytics capabilities Driving infrastructure modernization and scalability programs that support our growing customer base Orchestrating security and compliance initiatives that maintain our industry-leading DevSecOps standards What you will do Lead end-to-end technical programs across product, engineering, data, and security, from initial scope through launch and continuous improvement Collaborate closely with executive leaders and senior stakeholders to translate strategic vision into actionable roadmaps and align on priorities and tradeoffs Coordinate distributed teams across time zones using strong asynchronous communication, providing structure, clarity, and consistent status updates Develop and maintain comprehensive program plans, proactively identifying and mitigating risks and dependencies while facilitating decisions that balance speed, quality, and customer impact Partner with customer success and cross-functional teams to refine communication plans, and operational workflows Champion GitLab's values and culture within programs, fostering collaborative excellence, continuous improvement, and innovation What you will bring Proven experience leading technical program initiatives in product, engineering, data, or security environments, with demonstrated success delivering complex programs from inception through scaled adoption Demonstrated ability to define strategy and create clarity within extreme ambiguity Strong background in SaaS, cloud infrastructure, or DevOps technology companies, with ability to quickly master the GitLab platform and AI/ML initiatives Proven experience influencing and driving impact at a division and company-wide scale, affecting market position and revenue Excellence in cross-functional leadership, with experience partnering with engineering, product, security teams and engaging effectively with senior and C-level stakeholders Outstanding communication skills, including asynchronous collaboration, executive reporting, and the ability to translate technical complexity into clear business impact Track record of success in fast-paced, dynamic environments with evolving technical requirements and market opportunities Strong facilitation and influence skills, with ability to drive consensus across diverse stakeholder groups while building trust through transparency and delivery excellence Expertise in high-level stakeholder management, including masterful communication with Executive Boards and enterprise Customers Collaborative leadership style aligned with GitLab's values, including respect, openness to feedback, and commitment to team success Proven track record of redefining organizational operations and serving as an escalation point to resolve highly complex, enterprise-level challenges Welcome candidates from diverse backgrounds, including those with consulting, enterprise technology, or technical leadership experience who have owned outcomes and delivered transformational initiatives Ability to act as a visionary leader, shaping R&D direction and fostering technical excellence across the organization About the team: The Technical Program Management team sits within GitLab's R&D Program Management Office and drives product, engineering, data, and security initiatives across our AI-powered DevSecOps platform. You will join our growing, distributed team of Technical Program Managers currently spanning North America and Europe. We own the end-to-end delivery of complex, cross-functional programs including AI platform capabilities, enterprise customer initiatives, and strategic technology transformations. As an all-remote team, we excel at asynchronous communication to coordinate across time zones while partnering closely with executive leaders and stakeholders to deliver business-critical outcomes. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Разрабатывать дизайн пользовательских интерфейсов — Участвовать в исследованиях и улучшать текущие решения — Подготавливать свои макеты для передачи разработчикам — Контролировать качество работы интерфейсов после реализации разработчиками — Заниматься анализом данных и их интерпретацией совместно с аналитиками — Развивать и улучшать дизайн-систему совместно со всей командой дизайнеров — Участвовать в общекомандных активностях, например дизайн-ревью, ретро, встречах по дизайн-системе и обучающих мероприятиях. Требования: — Опыт работы дизайнером в продуктовой компании более 3 лет — Умение искать баланс между бизнес-требованиями и удобством для пользователя — Сильные технические навыки, понимание устройства фронта и бэка — Опыт работы с облаками или на проектах, связанных с разработкой ПО, будет плюсом — Готовность работать в режиме стартапа, быстро адаптироваться к изменениям и принимать решения в условиях неопределенности — Умение создавать быстрые концепции, генерировать идеи и воплощать их в макеты в кратчайшие сроки — Уверенное владение Figma, включая работу с компонентами, стилями, дизайн-системами и Auto Layouts — Умение подготавливать макеты для передачи разработчикам, следить за системой отступов, актуальностью компонентов и стилей, консультироваться с разработчиками и писать понятную документацию — Внимательность и аккуратность в работе с макетами, шрифтами, иконками — Способность создавать современный UI, соответствующий трендам Описание сервиса Managed RAG: Облачный сервис для обогащения языковой модели данными от пользователя, позволяющий загружать файлы в хранилище для предоставления актуальной информации языковой модели по документам для генерации точных ответов. Сервис подходит для чат-ботов, поддержки клиентов и других задач. Работа ведется также с командой AI Agents, создающей AI-агентов, которые могут анализировать информацию, обучаться на данных, планировать действия и адаптироваться к изменяющимся условиям среды.

Location: Hybrid - San Francisco 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 an FP&A Manager, Product to join our Finance team. You’ll be the financial lead for our Engineering, Product, and Design (EPD) organizations—owning OpEx and headcount planning while building scalable systems that improve visibility and decision-making. You’ll partner cross-functionally with Engineering leadership, People, and Strategic Finance to ensure investments are intentional, efficient, and aligned with long-term company strategy. What you'll do: Own the Product investment envelope – Manage OpEx and headcount budgets across EPD. Ensure investments align with company strategy while maintaining disciplined spend and margin targets. Drive rigorous workforce planning across technical and corporate teams – Build bottom-up headcount models by function and level. Partner with Engineering leaders to sequence hiring against roadmap needs, compliance requirements, and operational scale. Model infrastructure and internal systems economics – Develop clear forecasting models for cloud hosting, AI/compute, internal tooling, SaaS applications, and enterprise systems. Identify optimization opportunities across both product infrastructure and corporate tech stack. Translate roadmap and corporate priorities into financial tradeoffs – Evaluate build vs. buy decisions, capitalizable vs. expensed R&D, and vendor investments across EPD. Provide clear recommendations grounded in ROI and long-term cost structure impact. Elevate budget vs. actuals rigor across the organization – Lead monthly BvA reviews for EPD. Automate reporting, improve accrual accuracy, and surface actionable insights—not just variance explanations. Design scalable financial controls without slowing teams down – Implement approval workflows for headcount, vendor spend, and enterprise tooling that are disciplined, fast, and transparent. Use automation and AI to reduce manual review and eliminate bottlenecks. What you need: Proven partner to Engineering leaders – You’ve supported technical teams and corporate functions, understanding how product velocity and operational infrastructure translate into financial outcomes. Fluent in infrastructure and SaaS cost drivers – You understand cloud economics, AI/compute scaling, enterprise tooling, and how architecture and vendor decisions impact margins. Strong operator in workforce planning – You’ve managed complex headcount models across multiple departments, aligning hiring pace with financial guardrails. Advanced financial modeler – You build scenario-driven models with clear assumptions and sensitivity analysis that stand up to executive scrutiny. Precision-focused and systems-oriented – You eliminate blind spots in forecasting, improve accrual accuracy, and build processes that scale without creating bureaucracy. Compensation & Benefits: 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 $180,000.00 - $220,000.00. 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: Philippines 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 Technical Implementation Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement.   TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes.   Technical Account Managers are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: - Customer Enablement & Onboarding: Supporting customers through onboarding and implementation for assigned customers, following established discovery frameworks and implementation plans. - Account Health & Engagement: Monitoring adoption and account health within your book, executing standard plays to drive engagement, and escalating risks appropriately. - Process Optimization & Solution Design: Collaborating with customers to understand key workflows and configure ClickUp solutions using established best practices, templates, and guidance from senior TAMs. - Innovation Adoption & Workflow Automation: Guiding customers in adopting relevant features, including AI and automation, primarily by implementing standard patterns and documented workflows to improve efficiency and outcomes. - AI-Native Execution: Using AI in your own day-to-day workflow to synthesize discovery, accelerate account preparation, improve documentation quality, draft clearer recommendations, and increase the consistency and speed of customer follow-through while maintaining strong judgment and accuracy. CORE RESPONSIBILITIES: New Customer Onboarding - Support end-to-end onboarding and implementation of ClickUp for assigned customers using established discovery frameworks, templates, and project plans. - Translate functional and technical requirements into ClickUp solutions for standard use cases under the guidance of more senior TAMs when needed. - Guide customers through setup, integrations, and change management fundamentals, escalating complex scenarios appropriately. - Use AI-assisted workflows where appropriate to prepare for discovery, summarize implementation decisions, and improve the speed and quality of customer follow-up. Account Health Management - Monitor health for your book of business, including utilization, key feature adoption, and champion/stakeholder engagement. - Execute standard adoption plays and account review cadences to maintain or improve health, leveraging existing playbooks and frameworks. - Identify risks early and partner with senior TAMs and account teams to build and execute recovery plans. - Run recurring meetings with your accounts, sharing usage summaries, recommended next steps, and capturing follow-ups. - Connect AI adoption, automation usage, and workflow improvements to measurable customer outcomes such as efficiency gains, stakeholder adoption, and expansion signals. Workflow Mapping (IER Framework) - Conduct Intake → Execution → Reporting (IER) cycles for core customer workflows using established discovery guides and templates. - Recommend optimizations based on documented best practices and apply workflow templates to support scale and consistency. - Maintain clear documentation of customer workflows, data models, and configuration decisions following team standards. - Use AI to help analyze repetitive workflow patterns, identify process friction, and sharpen recommendations — while validating outputs before using them with customers. AI Enablement & Agent Deployment - Support adoption of ClickUp AI across relevant customer workflows by configuring and testing standard AI workflows and automations aligned to published best practices. - Provide training and consultation on how to use existing AI and automation patterns; escalate novel or complex use cases to senior TAMs or specialists. - Track and report AI usage and credit consumption against plan, surfacing straightforward opportunities to deepen adoption. - Evaluate AI-generated outputs for accuracy, usefulness, and business relevance before sharing recommendations or enabling them in customer workflows. - Help customers move from feature awareness to practical workflow transformation by identifying where AI can remove manual work, improve reporting quality, or speed execution in repeatable ways. Customer Success & Expansion - Serve as the technical partner for assigned accounts, connecting usage to business value using established value frameworks and artifacts. - Identify expansion signals (e.g., usage patterns, feature interest) and pass qualified leads and insights to the account team for follow-up. - Collaborate with Sales and Customer Success to support renewals, expansions, and AI upsells, aligning your work to the broader account strategy. Cross-Functional Collaboration - Partner with account teams, Product, and Services to maintain alignment between delivery and success for your accounts. - Share customer feedback and insights to improve delivery and customer experience, focusing on clear problem statements and reproducible examples. - Collaborate with more senior TAMs and internal stakeholders on complex initiatives, contributing execution and customer context. CORE SKILLS & COMPETENCIES: Technical Acumen Solid understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality, with a focus on applying documented solutions to customer use cases. Learns and adopts new features and patterns quickly.   AI Expertise Uses AI and Agents as a daily multiplier, not just an area of awareness. Comfortable with generative AI concepts, prompt design, and automation frameworks, and able to show examples of AI improving work quality, speed, or consistency in a customer-facing environment. Able to implement standard AI use cases and identify when to bring in senior partners for more complex or novel scenarios.   Consultative Discovery Strong at workflow analysis for core, well-understood processes. Uses structured discovery guides to identify friction points and map customer needs into ClickUp using existing best practices.   Project & Program Management Strong project and time management for your account load. Able to juggle multiple accounts and workstreams with regular check-ins and guidance from your manager or senior TAMs.   Data & Reporting Comfortable using dashboards and metrics to communicate health, adoption, and ROI at the account level. Interprets usage data to support clear, actionable recommendations within established frameworks.   Customer Engagement Executive presence and strong communication skills, with an emphasis on clarity, expectation setting, and follow-through. Builds trust with customer stakeholders by reliably executing agreed plans.   Account Ownership Accountable for day-to-day execution for your book of business: proactive in follow-through, organized, and focused on achieving measurable outcomes while escalating higher-risk or highly strategic decisions.   Collaboration & Influence Works cross-functionally with account teams, Product, and Sales to align on outcomes. Influences through clear data, customer stories, and consistent execution, while relying on senior leaders for major strategic decisions and escalations. AI-NATIVE CANDIDATE EXPECTATIONS: - Can demonstrate examples of using AI tools, prompts, automations, or agent-assisted workflows to improve personal productivity, customer delivery quality, or workflow outcomes. - Can speak concretely about where AI added value, where human judgment was still required, and how success was measured. - For this level, we are looking for evidence of strong applied AI fluency in execution — not necessarily novel model development or highly complex custom agent architecture. INTERVIEW SIGNAL: BE PREPARED TO WALK THROUGH HOW YOU USE AI IN YOUR WORK. OUR INTERVIEW PROCESS WILL ASSESS PRACTICAL AI CAPABILITY, INCLUDING HOW YOU APPLY AI TO WORKFLOW ANALYSIS, CUSTOMER EXECUTION, JUDGMENT, AGENTIC WORKFLOWS, AND MEASURABLE OUTCOMES. 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. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. Our most active users deserve a relationship with Phantom, not a ticket queue. We are launching an invite only VIP program in app messaging with a real person, enhanced support, and exclusive experiences. You will be its first dedicated hire. As a VIP Account Manager, you are the first point of contact for VIP members inside the app. You will own these relationships end to end: welcoming new members, resolving issues personally, pulling in support and engineering when a case needs them, and staying with it until it is closed. You will help shape the playbook for the team we build around you as the program scales toward round the clock coverage. You will work closely with the VIP program lead, support, marketing, product, and design. RESPONSIBILITIES - Be the personal, named contact for VIP members in our in-app messaging hub - Own member relationships end to end: onboarding and welcome, proactive check-ins, and follow through on every issue until it is resolved. - Handle high stakes situations such as compromised wallets, missing funds, and large transactions with urgency, precision, and discretion. - Triage and escalate: bring in support agents, engineering, or leadership when a case warrants it, and own the communication back to the member. - Meet members where they are: in-app chat first, plus email, X, Telegram, and Discord. - Coordinate the moments beyond support: welcome gifts, event experiences, and early access to new features. - Turn conversations into leverage: channel member feedback to product, build playbooks, and help define the response time and satisfaction standards for the VIP team. - Help design and scale the program from a small founding cohort to thousands of members, and eventually 24/7 coverage. QUALIFICATIONS - 4+ years in premium or VIP support, account management, or customer success, ideally at a sports betting platform, crypto exchange, wallet, brokerage, or fintech app. - Deep crypto fluency: you understand self custody and can navigate multiple chains, reading a block explorer, tracing a transaction, and telling an L2 gas issue apart from a bug. - Exceptional written communication: warm, concise, and human, even under pressure. - Absolute discretion: for high value users, privacy and trust are the product. - Security first instincts: you know the social engineering patterns targeting crypto users, and you would never ask anyone for a seed phrase. - Comfort with ambiguity and ownership: you are the first hire in a new function and will build much of the process yourself. - Time zone flexibility: our members are global and markets do not close, so some evening and weekend availability is part of the job. - Nice to have: experience serving high net worth clients at an exchange or brokerage. - Nice to have: hands on experience with Zendesk and AI support tooling. - Nice to have: fluency in more than one language, or an active Phantom user with real on chain history. The target base salary for this role will range between $75,000 to $100,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors at the point in time of offer.   Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: Colombia Reports to: Executive Director Location: Fully Remote About the Company Our client is a fast-growing, forward-thinking organization focused on reimagining how businesses operate through innovation, care, and agility. Their culture emphasizes collaboration, transparency, and trust, with a strong focus on empowering team members to take ownership, share ideas openly, and grow alongside the business. They value speed, adaptability, and continuous learning, and they celebrate progress and wins at every stage. About the Role The Finance & Data Analytics Manager will serve as the strategic owner of the company’s financial visibility and business performance insights. This role is responsible for overseeing financial operations while transforming data into actionable intelligence that supports decision-making across leadership, sales, and operations. The position blends finance, analytics, and operational reporting, with ownership over forecasting, financial reporting, sales analytics, and cash flow visibility. Success in this role requires the ability to connect financial data with operational outcomes and ensure leadership has clear, timely insights to act with confidence. Responsibilities Manage and analyze sales, expense, and performance data to produce clear, data-driven insights Build and maintain dashboards and financial models that track overall company health and sales performance Oversee bookkeeping and ensure financial records are accurate, organized, and current Lead payroll review, billing, and payment processes with a focus on accuracy and timeliness Review and process agent invoices and commission calculations Reconcile accounts and track inventory across systems to ensure data consistency Partner with leadership on revenue forecasting, growth modeling, and KPI tracking Identify opportunities to improve processes and automate finance and reporting workflows Experience & Education 5+ years of experience in finance, FP&A, or data analytics roles Experience in e-commerce, DTC, or fast-moving startup environments Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, or a related field Advanced proficiency in Excel/Google Sheets (pivot tables, dashboards, automation) Experience with financial and reporting tools (e.g., QuickBooks, Airtable, Power BI) Familiarity with workflow and automation tools such as Zapier, n8n, and Make Comfortable working with project and data visualization tools like Asana, Vibe Canvas, and Lucid Experience integrating data across systems to create unified dashboards or reporting flows Certifications (Preferred, Not Required) CPA, CFA, or data analytics-related certification

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. ROLE We're looking for a Senior Finance Data & Systems Analyst – Pigment Lead, AI & BI to join our Corporate team. In this role, you'll be the internal expert and owner of our Pigment platform, while driving data, automation, and AI initiatives to elevate the Finance team's performance and service quality across FP&A and Accounting. - Progressively take full ownership of Pigment's rollout and upkeep, reducing dependency on the external service provider and becoming the go-to internal expert on the tool - Optimize platform configuration, drive integration development, and build a strategic roadmap to support consolidation and reporting needs across FP&A and Accounting - Design and implement, together with the Head of FP&A, a structured budgeting process in Pigment, including workflow, calendar, and contributor governance - Adapt and evolve Pigment use cases tied to the Accounting close process, in collaboration with the Head of Accounting - Establish robust operational controls, including disciplined change management and a comprehensive financial data governance framework (definitions, quality, single source of truth, access governance) - Lead data and automation projects beyond Pigment to improve Finance team performance, including self-service analytics, reconciliation automation, and variance analysis - Drive the deployment of AI agents to replace manual processes and enhance the Finance team's operational efficiency - Scope and contribute to building priority Finance dashboards (Looker, Tableau, Power BI, or similar), ensuring metric consistency across Pigment, BI, and Finance reporting - Develop and maintain documentation, training materials, and user support processes to champion best practices across the Finance team - Mentor and grow a junior analyst or intern, progressively delegating Pigment, data, or reporting responsibilities PROFILE - 5–8 years of experience in Finance Data, FP&A, or Finance Systems roles, ideally in consulting or a tech scale-up environment - Hands-on experience with a Pigment rollout or run, or a similar EPM tool (Anaplan, Adaptive Insights, Hyperion, etc.) - strongly preferred - Demonstrated ability to internalize a tool previously managed by an external service provider, with a mandate to build internal autonomy quickly - Comfortable working with FP&A, Accounting, and Data/IT stakeholders alike - Some experience with SQL or Python and BI tools (Looker, Tableau, Power BI, or similar) - Genuine enthusiasm for applying AI to Finance, including no-code/low-code tools, agents, and LLMs - Ability to structure a data governance approach at the scale of a Finance function - Familiarity with accounting close processes is a plus - Prior mentoring experience (junior analyst, intern, or apprentice) is a plus - Fluent in both French and English BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest This role may require participation in an on-call rotation. You may be a good fit if you Have experience with machine learning. Have experience in cybersecurity research. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity or other experimental & research background. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Responsibilities: • Design multi-agent systems and integrate LLMs with internal tools • Develop backend APIs, RAG pipelines, and tool/function calling • Build computer vision pipelines for detection, tracking, and re-identification • Optimize real-time video and GPU inference Requirements: • Node.js/Express.js and Python • LLM APIs, prompt engineering, RAG, tool calling, or agent frameworks • Docker, Linux, and Git • PyTorch and OpenCV • Object detection and multi-object tracking (YOLO, ByteTrack/BoT-SORT) • Person re-identification, vector search, and video streaming (RTSP)

Location: Poland Imagine a traveler browsing a hotel page on Zenhotels or a travel agent evaluating options on RateHawk. They see room names, photos, amenities, policies, and reviews, all combined from dozens of suppliers, each with different formats, inconsistencies, and levels of completeness. Behind this experience lies a complex content pipeline: fragmented supplier data must be matched, standardized, enriched, and ranked to create a coherent and trustworthy representation of a hotel and its rooms. The Senior Product Manager for Content owns this layer of transformation, ensuring that raw supplier data becomes structured, high-quality, and decision-ready content that improves conversion, reduces user friction, and enables scalable global growth. Key Responsibilities Strategic Product Management for Content Value Stream: Define and own the Content team's strategy, vision, and roadmap across all ETG products to deliver measurable business impact and user value. Own the end-to-end content processing pipeline: Supplier data → Matching → Enrichment → Rates processing → User experience. Drive stakeholder management across Product, Engineering, Commercial, and Operations teams, aligning priorities, resolving conflicts, and ensuring consistent execution against shared goals. Product Discovery & Impact Ownership: Own a continuous pipeline of product opportunities, driving measurable revenue growth, based on funnel data, content gaps, and user friction. Leverage quantitative data and user research (interviews, usability tests, behavioral analysis) to identify root causes and high-impact problems. Size and prioritize opportunities, focusing on high-leverage bets. Delivery & Development Management: Partner with Development and ML/DS Team Lead to prioritize roadmap and manage backlog. Co-own delivery execution: define clear scope and acceptance criteria, ensure alignment across product, engineering, ML, and analytics. Drive predictable delivery: commit to timelines, proactively manage risks, dependencies, and trade-offs. Remove blockers and align cross-team dependencies to maintain delivery velocity. Team Leadership: Manage Product Manager and Operations Manager, ensuring strong ownership, execution quality, and alignment with business goals. Set clear goals and success metrics (FNBC, content quality, coverage, efficiency) and hold the team accountable for results. Drive performance management: regular feedback, performance reviews, addressing underperformance, and developing team members’ skills and career growth. Requirements 5+ years in Product Management (preferably travel, marketplace, or content-heavy products). Experience with data pipelines, content systems, or ML-driven products. Strong analytical skills (SQL, AB tests, metric design). Experience working with structured/unstructured data and large-scale systems. Bachelor’s in Computer Science, Engineering, or related field. Benefits Flexible schedules and opportunity to work remotely. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://www.emergingtravel.com/career/hr-policy/

Мой клиент: международное AdTech-агентство, которое создаёт технологические решения для рекламы, аналитики, обработки данных и AI-продуктов. Это не про спокойную разработку одной большой фичи, а про множество небольших сервисов и интеграций, разные кодовые базы, legacy, меняющиеся приоритеты и задачи, которые иногда приходят без идеальной документации. Поэтому мы ищем разработчика, которому интересно разбираться в новом коде и который не боится взяться за production-проблему. Задачи: — поддерживать и развивать Java-сервисы и внутренние продукты; — разбираться в существующем коде и устранять production-проблемы; — создавать REST API и интеграции с рекламными, аналитическими и AI-платформами; — работать с большими объёмами данных в ClickHouse и MongoDB; — развивать сервисы на базе Gemini, Claude, OpenAI и других LLM; — поддерживать и расширять MCP-интеграции; — использовать AI coding agents и обязательно проверять результат их работы. Требования: — от 3 лет коммерческой разработки на Java, преимущественно Java 11+; — хороший опыт с Maven, REST API и SQL; — опыт разработки небольших Java-сервисов на чистой Java, без Spring; — практический опыт интеграции LLM API в реальные продукты; — регулярное использование Claude Code, Codex, Cursor или похожих AI-инструментов; — самостоятельность, любопытство и умение переключаться между разными задачами; — опыт в AdTech, MarTech, digital или стартапах. Условия: — полностью удалённо; — официальное оформление; — понедельник–пятница, 10:00–19:00 CET; — рабочий язык команды — русский, английский от B1 для документации и обсуждения API; — рассматриваем кандидатов вне РФ, готовых работать в часовом поясе команды; — зарплата обсуждается индивидуально.

Location: Remote, Canada; Remote, Israel; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of the role We are seeking a Principal Security Researcher to join our Application Security Team to conduct cutting-edge security research on GitLab's AI-powered DevSecOps capabilities. As GitLab transforms software development through intelligent collaboration between developers and specialized AI agents, we need security researchers who can proactively identify and validate vulnerabilities before they impact our platform or customers. In this role, you'll be at the forefront of security research, working with our GitLab DevSecOps platform, Duo Agent Platform, GitLab Duo Chat, and AI workflows that represent the future of human/AI collaborative development. You'll develop novel testing methodologies (including for AI agent security), conduct hands-on penetration testing, and translate emerging threats into actionable security improvements. Your research will directly influence how we build and secure the next generation of AI-powered DevSecOps tools, ensuring GitLab remains the most secure software factory platform on the market. This position offers the unique opportunity to shape security and AI security practices in one of the world's largest DevSecOps platforms, working with engineering teams who are pushing the boundaries of what's possible with AI-assisted software development. You'll have access to cutting-edge AI systems and the freedom to explore creative attack scenarios while contributing to the security of millions of developers worldwide. This role reports to the Senior Manager of Application Security. What you'll do Conduct and lead security research projects across multiple functional areas. Identify novel, systemic, and chained vulnerabilities in GitLab, where individual weaknesses combine for outsized impact. Validate security vulnerabilities through hands-on testing, developing proof-of-concept exploits that demonstrate real-world attack scenarios. Assess emerging industry vulnerability classes against the GitLab codebase, and drive remediation of the class rather than the instance. Lead security research into GitLab's AI and agentic surfaces, and define the security requirements that engineering teams build against. Build and direct the tooling and automation that scales security research, including agent-assisted vulnerability discovery across our codebase. Research the security posture of open source tools and dependencies integrated with GitLab, report findings to their maintainers, and track mitigation following our responsible disclosure guidelines . Solve technical problems of the highest scope, complexity, and ambiguity. Help shape the team and sub-department roadmap. Lead the integration of security research results into the engineering and business functions that need to act on them. Teach, mentor, and advise other domain experts and individual contributors across several teams. Share knowledge and novel vulnerability types with the security community. What you'll bring 10+ years of experience in security research, penetration testing, or offensive security roles Strong ability in discovering and exploiting vulnerabilities in large codebase and complex systems Proficiency in two or more of Ruby, Go, Python, TypeScript, or Rust. Ability to read and analyze code across multiple languages and codebases Strong knowledge of AI frameworks Strong understanding of AI attack vectors including prompt injection, agent manipulation, and workflow exploitation At ease in establishing and driving complex remediation initiatives involving cross-functional teams Excellent written communication skills with an ability to articulate complex topics in a clear and concise manner. Ability to translate complex technical findings into clear risk assessments and remediation recommendations Strong analytical and problem-solving skills with creative thinking about attack scenarios Nice to Have: Published security research or conference presentations; background in software engineering with distributed systems expertise; experience with GitLab or similar DevSecOps platforms About the team Security Researchers are a part of our Application Security team, who address complex security challenges facing GitLab and its customers to enable GitLab to be the most secure software factory platform on the market. We focus on systemic product security risks and work cross-functionally to mitigate them while maintaining Engineering's development velocity. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $203,200 — $275,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .