Вакансии

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market. Your responsibilities will include: Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it. Shape the product surface on top of the data, so a customer gets something built for their job. Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in. Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build. Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it. Work with customer success to learn what customers ask us for and what makes them leave. Partner with the search owner on how results should be ranked and shaped for each use case. We expect you to have: 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products. Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable. A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found. Experience in API-first or developer-platform businesses. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Domain experience in market intelligence, news, financial research, or another data-heavy industry. Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house. Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need. Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market. Your responsibilities will include: Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it. Shape the product surface on top of the data, so a customer gets something built for their job. Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in. Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build. Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it. Work with customer success to learn what customers ask us for and what makes them leave. Partner with the search owner on how results should be ranked and shaped for each use case. We expect you to have: 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products. Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable. A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found. Experience in API-first or developer-platform businesses. Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs. The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: Domain experience in market intelligence, news, financial research, or another data-heavy industry. Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house. Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need. Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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 Take part in on-call or operational support where your team’s ownership model requires it. 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 .

Location: Bangalore - Engineering Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION About the Role We are seeking a highly skilled Principal Software Engineer to lead the design and development of the Data Fabric platform—a next-generation distributed data infrastructure that enables seamless data integration, processing, governance and security at scale. As a key technical leader, you will architect robust, scalable, and high-performance systems while mentoring engineering teams to deliver cutting-edge data solutions. WHAT YOU'LL DO AT UIPATH - Architect, Design and Build: Lead the technical vision, architecture, and implementation of the Data Fabric platform, ensuring scalability, reliability, and security. - Distributed Systems: Design and optimize large-scale distributed data systems for ingestion, storage, processing, and querying. - Technical Leadership: Mentor senior engineers, set best practices, and drive innovation in data engineering and infrastructure. - Cross-functional Collaboration: Work closely with teams across other locations to innovate and develop best-in-class solutions. - Performance Optimization: Identify bottlenecks, improve system efficiency, and ensure high availability for data workloads. - Standards & Governance: Establish engineering standards, code reviews, and CI/CD pipelines for high-quality deliverables. - Ownership: Stay accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc. - Emerging Technologies: Evaluate and integrate new tools (e.g., Apache Kafka, Spark, Flink, Iceberg, Kubernetes) to enhance the platform. - Leverage AI tools/Coding agents responsibly to accelerate development (e.g., code generation, testing, debugging, documentation), while maintaining a high engineering quality bar. WHAT YOU'LL BRING TO THE TEAM - Bachelor’s/master's degree in engineering, Computer Science (or equivalent experience). - 12+ years of software engineering experience, with 5+ years in distributed data systems - Proficiency in one or more system level programming languages (C#, Java etc.) and a willingness to learn new ones - Strong understanding of object-oriented programming, architectural design patterns, system design and data structures & algorithms. - Good grasp of multithreading, synchronization, asynchronous, cloud programming. - Experience working with Cloud ecosystems such as Azure, AWS, GCP. - Familiar with modern engineering practices, including agile development, CI/CD and DevOps. - Experience with Docker, Kubernetes or other containerization technologies. - Strong verbal and written communication skills, and experience in delivering critical time bound projects, managing timelines and team development. - Proven track record of effectively collaborating with globally distributed teams. - Ability to understand, communicate, provide feedback on, and drive complex technical decisions. Nice to have - Full-stack development experience - Understanding of LLMs and the AI powered API automation. - Experience with GraphQL, data mesh architectures. - Familiarity with observability tools (Prometheus, Grafana) #LI-VR1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Munich Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Mid Market Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. As part of the founding Mid Market team in Munich, you will be responsible for establishing and growing relationships with mid-sized law firms and corporate and financial services clients across DACH, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Own your book of business by managing a named account list, prioritizing and cultivating inbound leads, and outbounding directly to high-potential prospects. - Manage the full customer lifecycle from prospecting to contracting, onboarding, growing, and renewals. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. - Travel may be required from time to time, including visits to customer office locations and company offices. WHAT YOU HAVE - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. - Excited about prospecting, and capable of independently leading a sales cycle from start to finish. - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene. - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. - Fluency in English and German, both spoken and written - Experience working in or adjacent to the Legal industry a plus but not required. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-KS2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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. This is a hybrid role based in San Francisco, with in-office days on Monday, Tuesday, and Friday. 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. About You: 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: Mexico City; Lima; Almaty; Buenos Aires; Santiago; São Paulo; Bogotá; Belgrade Workplace: Remote Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT LAVENDO Lavendo is a US-based boutique recruiting agency specializing in sales, GTM, and tech roles for fast-growing startups and tech companies. We're a small, close-knit remote team who care deeply about results, relationships, and doing great work. We move fast, take ownership of our work, and genuinely enjoy what we do. If that sounds like your kind of environment, we'd love to hear from you. THE ROLE We're looking for a Talent Sourcer to join our team and help us build strong, qualified candidate pipelines for our clients. This role is focused on the top of the funnel - you'll be responsible for identifying, researching, and engaging exceptional talent through outbound sourcing, and setting our recruiters up to close great placements. This is a remote, flexible role. We ask that you're available for team syncs and client calls during US Pacific Time hours, with overlap until at least 3 PM PT (San Francisco time). You don't need years of sourcing or recruiting experience to apply. What we care about most is that you're thoughtful, motivated, coachable, and take ownership of your work. We'll teach you the rest - including every tool in our stack. WHAT YOU'LL DO - Proactively source candidates using outreach tools, social media, X-ray, Boolean search, and creative sourcing strategies - Build and manage strong outbound talent pipelines for a range of open roles - Conduct initial candidate outreach and qualify interest and fit before handing off to recruiters - Keep candidate records, pipelines, and sourcing notes accurate and up to date - Collaborate closely with recruiters and communicate clearly on candidate quality and pipeline health - Meet weekly sourcing activity targets and pipeline goals - Share ideas, flag issues early, and contribute to team improvements - not just execute tasks YOU'LL THRIVE HERE IF YOU - Speak fluent English - you'll be conducting calls, writing outreach, and communicating with US professionals daily. This is a hard requirement. - Are genuinely proactive - you notice what needs to be done and take initiative without waiting to be asked - Have a strong sense of ownership - you treat your searches and candidates with care, as if they're your own responsibility - Are coachable and curious - you welcome feedback, ask good questions, and enjoy learning - Care about results - you're focused on pipeline quality and real outcomes, not just checking boxes - Are collaborative and easy to work with - you support teammates, share knowledge, and contribute to a positive team environment - Have 0-3 years of experience in any outbound, research, or client-facing role - sales development, research, recruiting, or sourcing (a plus but not required) WHAT WE OFFER - Competitive base salary based on your experience and local market (typically ~$800-$1,600/mo) + performance incentives tied to pipeline quality and hires - the more you contribute, the more you earn - Deel contract for simple, reliable, international payments (1099 contract) - A structured work environment with daily team syncs, weekly team trainings, and regular 1:1s - A real team - not a solo gig. We collaborate on Slack daily and support each other's work - Hands-on onboarding and coaching from an experienced US-based recruiter - A modern, best-in-class recruiting tech stack - we use top tools and autonomous AI agents, and will train you on everything: Ashby, Juicebox, Metaview, Slack, Perplexity, Claude, and more - Work with exciting clients - high-growth ML, AI Infra, Cyber and other tech startups across the US - Autonomy to manage your own sourcing pipeline once you're up to speed - Room to grow with a company that is expanding its client base and team - including a path toward full-cycle recruiting HIRING PROCESS We've designed a straightforward process that respects your time and lets your actual skills shine: - Async video - 2–3 minutes recorded - Intro call with our Founder - mutual fit check - Work sample task - a short sourcing exercise to show us how you think and work - Behavioral interview - structured conversation focused on your experience and approach - Reference check + offer We review applications on a rolling basis. Apply early. We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

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: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Tokyo, Japan Role Overview The Partner Engineer (PE) is a high-impact, strategic technical sales leader  responsible for end-to-end technical lifecycle and enablement of the assigned partners, managing both pre-sales and post-sales engineering activities. In this role, you will act as the single technical point of contact as the trusted advisory for your assigned partners, driving technical validation during the sales cycle, architecting their delivery readiness and ensuring ongoing Partner Success. The role focuses heavily on driving value-based solution selling to accelerate the adoption of Cloudflare platform with focus on Cloudflare One (SASE/SSE) and AI Infrastructure (Workers AI / AI Gateway). By cultivating deeply technical champions within the partner organization, aligning architectures to tangible business outcomes, optimizing post-sales delivery and building joint managed services offering, you will directly expand and influence the pipeline to maximize Partner-Influenced Opportunity (PIO) revenue. Key Responsibilities 1. Pre-Sales Engineering & Champion Building Technical Alignment, Discovery & Enablement: Own the technical relationship with Partners to align on building joint Go-To-Market (GTM) strategies. Align, build, and accelerate partner technical capabilities, enabling them to lead deep technical discovery and architectural design to independently sell scalable solutions leveraging the Cloudflare Platform with a strong focus on AI and Cloudflare One (CF1). Technical Account Plan Ownership: Own and drive the end-to-end Technical Account Plan (TAP) for assigned strategic partners.  Act as the primary architect mapping partner business goals to technical execution milestones, ensuring continuous alignment on CF1 and AI adoption targets. Building Technical Champions: Identify, enable, and cultivate key technical advocates and "Champions" within the partner organization to scale Cloudflare expertise independently, generate Partner-Influenced Opportunities (PIO), and empower them to deliver high-value professional services around Zero Trust and AI application security. Driving PIO via Next-Gen Architectures: Collaborate with sales teams to proactively source, qualify, and expand PIO through strategic architectural alignment, focusing on migrating legacy network architectures to CF1 and integrating secure AI solutions. Deal Support & Qualification: Enable partners' technical validation, proof-of-concept (PoC), demo, pipeline generation, and pipeline acceleration capabilities. Identify joint pursuit accounts, facilitate strategic technical account planning, and deliver cutting-edge solution architecture sessions for Named Partners 2. Accelerate Services Delivery ASD Partner Journey Ownership: Own the ASD partner journey to ensure partners possess the advanced capabilities required to deploy, manage, and support the Cloudflare platform and AI application workloads seamlessly. Joint Services Offering Acceleration with strong focus on CF1 and A1: Build and co-develop joint services catalogues with key partners, accelerating the creation and launch of their own Cloudflare-focused services offerings, managed CF1 SASE practices, and AI security assessments. Service Monetization & Performance Metrics: Enable partners to embed CF1 and Workers AI capabilities into their own managed security portfolios to shorten time-to-market, protect client AI pipelines, and maximize profitability. Develop, manage, and track key performance indicators (KPIs) to measure and improve the effectiveness of these partner service deliveries Technical Account Management & Architectural Health: Act as the escalated technical point of contact to ensure long-term architectural health, utilizing telemetry and proactive design to move the partner relationship from reactive to strategics for Cloudflare. 3. Automation AI Agents & Continuous Innovation Leverage Autonomous AI Tools: Champion the use of Cloudflare OS and AI tools (Agent PAT and Agent Echo) to automate standard, repeatable technical tasks, optimizing operational efficiency and freeing up bandwidth for high-touch, strategic partner engagements.AI & CF1 Product Enhancement Feedback Loop: Engage partner champions in the Partner Technical Advisory Council (PTAC) to give them early access to beta software, capture raw product feedback, and drive joint co-innovation on CF1 features and emerging AI products. Cross-Functional Enablement: Participate in continuous cross-training programs to maintain peak proficiency in both pre-sales scoping and post-sales service deployment across the entire Cloudflare One and AI ecosystem. Required Qualifications & Experience 8+ years of technical, partner-facing experience (e.g., Systems Engineer, Solutions Architect, or Technical Account Manager) in cybersecurity, cloud infrastructure, or networking. Strong technical depth in Cloudflare One (CF1) or equivalent SASE/SSE architectures, Zero Trust, DNS, and application security, alongside hands-on familiarity with AI deployment, AI Gateway, LLM orchestration frameworks, or vector databases. Proven track record of developing technical talent or building "champion" programs within partner organizations, specifically driving adoption of complex cloud networks and AI technologies. Enterprise Architecture & Project Management: Deep understanding of enterprise IT, multi-cloud, and hybrid cloud environment while managing complex projects with multiple stakeholders Demonstrated ability to manage the technical lifecycle of a deal from initial pre-sales discovery and CF1/AI PIO generation through post-sale service delivery. Strong communication skills with a track record of presenting complex CF1 architectures and AI-driven use cases to partner leadership and technical teams alike. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Mexico City; Lima; Almaty; Buenos Aires; Santiago; São Paulo; Bogotá; Belgrade Workplace: Remote Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT LAVENDO Lavendo is a US-based boutique recruiting agency specializing in sales, GTM, and tech roles for fast-growing startups and tech companies. We're a small, close-knit remote team who care deeply about results, relationships, and doing great work. We move fast, take ownership of our work, and genuinely enjoy what we do. If that sounds like your kind of environment, we'd love to hear from you. THE ROLE We're looking for a Recruiter to join our team and help us find and place exceptional candidates for our clients. This is a full-cycle role - you'll be responsible for outbound sourcing, screening candidates, managing relationships, and driving placements from first outreach to signed offer. This is a remote, flexible role. We ask that you're available for team syncs and client calls during US Pacific Time hours, with overlap until at least 3 PM PT (San Francisco time). You don't need years of recruiting experience to apply. What we care about most is that you're thoughtful, motivated, coachable, and take ownership of your work. We'll teach you the rest - including every tool in our stack. WHAT YOU'LL DO - Proactively source candidates using outreach tools, social media, and creative sourcing strategies - Conduct HR screening calls and assess candidate fit for open roles - Manage candidate pipelines and keep records up to date - Collaborate with teammates and communicate clearly with clients and candidates - Meet weekly activity targets and monthly placement goals - Share ideas, flag issues early, and contribute to team improvements - not just execute tasks YOU'LL THRIVE HERE IF YOU - Speak fluent English - you'll be conducting calls, writing outreach, and communicating with US professionals daily. This is a hard requirement. - Are genuinely proactive - you notice what needs to be done and take initiative without waiting to be asked - Have a strong sense of ownership - you treat your roles and candidates with care, as if they're your own responsibility - Are coachable and curious - you welcome feedback, ask good questions, and enjoy learning - Care about results - you're focused on placements and real outcomes, not just checking boxes - Are collaborative and easy to work with - you support teammates, share knowledge, and contribute to a positive team environment - Have 0-3 years of experience in any outbound or client-facing role - sales, customer success, account management, or recruiting (a plus but not required) WHAT WE OFFER - Competitive base salary based on your experience and local market (typically ~$800-$1,600/mo) + commission from your hires - the more you place, the more you earn - Deel contract for simple, reliable, international payments (1099 contract) - A structured work environment with daily team syncs, weekly team trainings, and regular 1:1s - A real team - not a solo gig. We collaborate on Slack daily and support each other's work - Hands-on onboarding and coaching from an experienced US-based recruiter - A modern, best-in-class recruiting tech stack - we use top tools and autonomous AI agents, and will train you on everything: Ashby, Juicebox, Metaview, Slack, Perplexity, Claude, and more - Work with exciting clients - high-growth ML, AI Infra, Cyber and other tech startups across the US - Autonomy to manage your own pipeline once you're up to speed - Room to grow with a company that is expanding its client base and team HIRING PROCESS We've designed a straightforward process that respects your time and lets your actual skills shine: - Async video - 2–3 minutes recorded - Intro call with our Founder - mutual fit check - Work sample task - a short sourcing exercise to show us how you think and work - Behavioral interview - structured conversation focused on your experience and approach - Reference check + offer We review applications on a rolling basis. Apply early. We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

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.   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: London, United Kingdom Workplace: none About InvestEngine We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait. About the role We’re hiring our first dedicated Analytics Engineer at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on. You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it. We’re actively modernising our data stack, and we want the person in this role to shape it. Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position is that the level matters less than the appetite. The ultimate test is hunger, and the desire to shape this space and have real impact . If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger. Beyond that, this role suits someone who: Operates well with ambiguity and limited structure. You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go. Wants a small, fast company on purpose — not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding. Lives in the tools, not in email chains. You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs. Can point to things they’ve actually built and shipped , not just designs or concepts they contributed to. Already uses AI to do the job better — Claude, Copilot, or similar — and is curious about where it can go further. Learns fast. We care more about how quickly you close a knowledge gap than how complete your CV looks today. Works well directly with Product, Marketing, Operations, and Engineering , not just with other analysts — this role sits right at that boundary. Our values Everyone at InvestEngine is expected to live these, and this role will be assessed against all five: Act like an owner — you take responsibility for outcomes, not just tasks Keep improving. Stay curious. — you push your own standards and the team’s, and you’re genuinely curious about better ways to work Achieve more together — you make the people around you (business stakeholders included) more effective, not just yourself Speak up. Share openly. — you flag risks, disagreements, and better ideas rather than sitting on them Put customers first. Create real value. — you build things because they solve a real problem, not because they’re interesting to build What you’ll do Analytics engineering & the semantic layer Design, build, and maintain dbt Core models that transform raw data into clean, well-tested, well-documented datasets Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against Establish and enforce data modelling standards, testing practices, and documentation as the function scales Evaluate and help roll out modern BI tooling — experience with Lightdash, Omni, Looker, or Metabase all translates well — to make metrics genuinely self-serve for non-technical stakeholders Building the AI context layer Structure our models, metric definitions, documentation, and lineage so they’re machine-readable, not just human-readable — because our semantic layer is what AI tooling reasons over Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is Use Claude to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and Notion AI to keep documentation and runbooks current and genuinely useful Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well Data engineering & the platform Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it Warehouse cost & performance Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about Data quality & observability Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows Upstream influence Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements before data reaches the warehouse — good analytics starts at the source, not in the transformation layer Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well Business partnership Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform Governance Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome Implement least-privilege access across datasets, reports, and dashboards What we’re looking for Must-haves Hands-on production experience with dbt (we run dbt Core) — this is a hard requirement Strong SQL expertise Solid Python for data engineering and automation Working knowledge of AWS data services Experience with GitHub and GitHub Actions (or equivalent CI/CD tooling) for testing and deploying data code Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics Comfortable using AI tools as part of your day-to-day engineering workflow Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch Nice-to-haves Airflow or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte Warehouse cost and performance tuning, particularly on Redshift Fintech, investment management, or another regulated industry Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection Experience with Notion AI or Asana automations Day-to-day working style We favour clear thinking and simple, well-tested solutions over cleverness We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included We believe data should be as accessible as it can safely be, and as restricted as it needs to be — good judgement applied consistently, not blanket lockdown Practical details Reports to: Chief Data Officer Team: Data & Analytics Level: Mid to Senior Location / working pattern: London / hybrid

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: Remote in EMEA Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available. About the job Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit www.testlio.com . We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering. Why will you love this job? Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API. Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing. Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage. Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API. Why will you love being a part of Testlio? Great Culture: Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work: Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team. Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You: Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business: Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Shaping what's next Stay close to the code: Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently. Public API strategy: Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path. Integration architecture: Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core. Roadmap ownership: Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production. Running it with rigor Engineering operating rhythm: Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability. Technical leadership: Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions. Third-party dependency management : Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages. Production support and escalations: Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency. Reliability and observability: Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check. Team growth: Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation. What do you need to succeed? Technical skills Engineering management: 5+ years managing a team of 4+ engineers in an agile, remote environment. Hands-on technical leadership: Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team. Public or partner-facing API ownership: Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground. Third-party integration systems: Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control. Technical stack: Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns. Nice-to-haves Identity and access: Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles. Broader stack familiarity: Kafka, GraphQL, Python, and React are a plus. Observability and performance: Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions. Application security: Knowledge of application security best practices and integrating security review into the SDLC. Legacy modernization: Experience modernizing legacy systems or paying down significant technical debt while keeping a product running. SaaS experience: Prior experience managing a SaaS product is a plus. Human skills Fluency in English, with excellent written and verbal communication. Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting. Organized and thorough, with a meticulous approach to standards and process. Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement. Results-oriented, with data-driven decision-making. What is the application process? We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks. Application review Recruiter interview Hiring Manager Interview Live Technical Exercise 2 team and stakeholder interviews Reference checks Offer Diversity and inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the DEI section of our website. #LI-Remote

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Neo4j’s managed cloud offering, Aura, brings the power of graph databases to the cloud. We’re forming a new team - Aura DevEx, and are looking for an ambitious Engineer to help build it. Aura DevEx is an enabling team for the Aura SaaS and cloud platform and works to improve and simplify onboarding and use of the Aura platform. Our DB software is developed to be delivered both on-prem and to our SaaS offering and Aura DexEx will play a vital role in bridging development of the DB in our cloud environment. We make Aura usable for them — in person, in docs, in CLIs, and through AI. We also work on things coupled to the AI domain for Aura development: agent skill files, AI instructions, and the workflows that let humans and agents work in this repository safely and well. The mix that matters here is software engineering, developer experience, and practical AI — not platform engineering as a full-time job. The Role: Make Aura the place where the rest of Neo4j can build. Aura is a powerful environment, but a challenging one to enter. Aura DevEx exists so that “develop in Aura” is a product, not a tribal knowledge problem. You will work with all users of the platform - both avid users and people new to the platform. You’ll also work alongside teams to help them build on top of the platform. Between directly helping engineers you will take your learnings from the hands-on sessions and improve tooling and documentation or submit feedback to owning teams on how their devex could be improved. You will not own the delivery platform. You will partner closely with our Software Delivery team so the paved road stays the paved road, and with our platform teams to ensure engineers are empowered to extend the platform to meet their needs. What You'll Do: Help teams outside Aura develop in Aura: Meet Neo4j Database (non-Aura) engineers where they are. Reduce the Aura-specific overhead of getting a change built, tested, and running in a dev environment. Improve the workflows, docs, and tooling that engineers need, — whether they are people who care about the database, a single service, or an integration, rather than the whole platform. Support incubation and onboarding: help teams become productive in Aura without Aura DevEx owning their product. Work with Software Delivery when the right fix is on the paved road, and take the work that is about who is developing and how they get started . Give feedback to the various platform teams to ensure that the underlying platform is intuitive, pleasant to use, and extensible. Contribute to the AI domain for Aura development Maintain and evolve skill files and agent instructions (AGENTS.md, Cursor/Claude skills, and similar) so AI coding agents can operate in Aura with the same constraints we expect of humans. Put evaluation and feedback around AI workflows — quality, cost, failure modes, and whether they actually save engineers time. Help Aura and non-Aura teams adopt AI in their development process without each team inventing its own stack. Treat DevEx as a product Work closely with internal engineers (Aura and non-Aura) to identify pain points. Make the experience as positive as possible for someone who does not already know Aura. Observe how people and agents use the skills, docs, and tools you ship, and iterate on that evidence. What you’ll need: Strong collaboration and communication skills. Golang experience Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications. Some knowledge around the Golang build and packaging system. Solid software engineering experience, including shipping tools other engineers use (CLIs, libraries, internal platforms, or developer-facing services). Enough Kubernetes and container literacy to help someone develop in Aura — Pods, Deployments, Docker images, and how software gets onto a cluster. Deep operator/control-plane work is not the job; being lost in Kubernetes is not viable either. Experience with modern CI/CD and Git-based workflows: taking a change from a branch to something running in an environment. Clear writing. A large part of this job is skills, docs, and instructions that both humans and models follow. An interest in other developers’ pain points, especially people who are new to a platform, and the ability to design solutions that address those pain points. What’s nice to you have: Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption. Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents. Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows. Experience integrating software with Google Cloud Platform, AWS, or Azure. Experience with observability: tracing, logging, and metrics — including for AI workflows. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Neo4j’s managed cloud offering, Aura, brings the power of graph databases to the cloud. We’re forming a new team - Aura DevEx, and are looking for an ambitious Engineer to help build it. Aura DevEx is an enabling team for the Aura SaaS and cloud platform and works to improve and simplify onboarding and use of the Aura platform. Our DB software is developed to be delivered both on-prem and to our SaaS offering and Aura DexEx will play a vital role in bridging development of the DB in our cloud environment. We make Aura usable for them — in person, in docs, in CLIs, and through AI. We also work on things coupled to the AI domain for Aura development: agent skill files, AI instructions, and the workflows that let humans and agents work in this repository safely and well. The mix that matters here is software engineering, developer experience, and practical AI — not platform engineering as a full-time job. The Role: Make Aura the place where the rest of Neo4j can build. Aura is a powerful environment, but a challenging one to enter. Aura DevEx exists so that “develop in Aura” is a product, not a tribal knowledge problem. You will work with all users of the platform - both avid users and people new to the platform. You’ll also work alongside teams to help them build on top of the platform. Between directly helping engineers you will take your learnings from the hands-on sessions and improve tooling and documentation or submit feedback to owning teams on how their devex could be improved. You will not own the delivery platform. You will partner closely with our Software Delivery team so the paved road stays the paved road, and with our platform teams to ensure engineers are empowered to extend the platform to meet their needs. What You'll Do: Help teams outside Aura develop in Aura: Meet Neo4j Database (non-Aura) engineers where they are. Reduce the Aura-specific overhead of getting a change built, tested, and running in a dev environment. Improve the workflows, docs, and tooling that engineers need, — whether they are people who care about the database, a single service, or an integration, rather than the whole platform. Support incubation and onboarding: help teams become productive in Aura without Aura DevEx owning their product. Work with Software Delivery when the right fix is on the paved road, and take the work that is about who is developing and how they get started . Give feedback to the various platform teams to ensure that the underlying platform is intuitive, pleasant to use, and extensible. Contribute to the AI domain for Aura development Maintain and evolve skill files and agent instructions (AGENTS.md, Cursor/Claude skills, and similar) so AI coding agents can operate in Aura with the same constraints we expect of humans. Put evaluation and feedback around AI workflows — quality, cost, failure modes, and whether they actually save engineers time. Help Aura and non-Aura teams adopt AI in their development process without each team inventing its own stack. Treat DevEx as a product Work closely with internal engineers (Aura and non-Aura) to identify pain points. Make the experience as positive as possible for someone who does not already know Aura. Observe how people and agents use the skills, docs, and tools you ship, and iterate on that evidence. What you’ll need: Strong collaboration and communication skills. Golang experience Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications. Some knowledge around the Golang build and packaging system. Solid software engineering experience, including shipping tools other engineers use (CLIs, libraries, internal platforms, or developer-facing services). Enough Kubernetes and container literacy to help someone develop in Aura — Pods, Deployments, Docker images, and how software gets onto a cluster. Deep operator/control-plane work is not the job; being lost in Kubernetes is not viable either. Experience with modern CI/CD and Git-based workflows: taking a change from a branch to something running in an environment. Clear writing. A large part of this job is skills, docs, and instructions that both humans and models follow. An interest in other developers’ pain points, especially people who are new to a platform, and the ability to design solutions that address those pain points. What’s nice to you have: Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption. Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents. Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows. Experience integrating software with Google Cloud Platform, AWS, or Azure. Experience with observability: tracing, logging, and metrics — including for AI workflows. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.