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: Algiers, Algeria; Algeria (East); Algeria (West) Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. What we're looking for We are seeking a highly skilled and experienced Senior CloudOps Engineer to join our Mobility team. The ideal candidate will have a strong background in cloud infrastructure and operations, with a passion for helping engineering squads ship reliable, scalable systems. You will work daily across different squads, providing hands-on infrastructure support, proposing architecture and tooling improvements, and helping define the best approach to build and maintain our infrastructure on GCP. Responsibilities Work daily with different engineering squads to support, troubleshoot, and evolve their infrastructure needs. Design, propose, and implement scalable, secure, and reliable infrastructure on GCP. Advise squads on infrastructure architecture and best practices, helping them choose the right setup for their projects. Monitor and troubleshoot production systems, identifying and resolving issues in a timely manner. Automate provisioning, deployment, and scaling processes to minimize downtime and manual effort. Continuously improve infrastructure, tooling, and processes to increase efficiency and reduce costs. Contribute to infrastructure standards and documentation shared across teams. Qualifications Strong experience with Linux administration and scripting languages such as Bash, Python, and TypeScript. Proven experience operating and building infrastructure on GCP (AWS or Azure experience is a plus). Solid knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Experience with configuration management / IaC tools such as Terraform, CDK for Terraform, or Pulumi. Strong understanding of networking, monitoring, and infrastructure reliability practices. Comfortable working cross-functionally with multiple engineering squads and communicating infrastructure trade-offs clearly. Strong problem-solving and analytical skills, with a proactive, advisory mindset. Why You Should Join Yassir : Join one of the fastest-growing tech companies in North Africa Have a lasting impact on our company's culture Make a real impact on the world by helping us bring affordable financial and on-demand services to millions of Africans Work on some really hard technical challenges from identity infrastructure for Africans, digital payment networks to complex mapping and routing systems across the continent. We are the first Algerian startup to go through Y Combinator program and we’re backed by top investors including Unpopular Ventures, Rebel Fund and DainTree.VC At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. On-site position in San Francisco, CA, USA. Fixed-term contract for 12 months.

Location: Singapore Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is looking for a Mid-Market Account Executive to join our dynamic team of creatives, engineers, marketers and brilliant business folks. You aren’t the typical sales leader, and we aren’t the typical design tool company. At Figma we think outside the box, lift constraints that block our imagination everyday and we encourage you to do the same. With this role you’ll get in at the ground floor in a fast growing sales org. You’ll consult with our existing customer base and potential customers in driving meaningful relationships that add value to the customer experience and revenue to our bottom line. You will be responsible for targeting, building and nurturing positive relationships with key decision-makers and assisting them through their Figma evaluation and buying process of all products. This is an opportunity to accelerate your career, learn from leading sellers in the industry and be part of a founding team to shape Figma’s future in Singapore . You won’t be alone! Figma has an incredible team and you’ll work closely with other groups including Support, Design, Engineering,Product Marketing, Customer Success, and Community. You will report directly to our Manager, Commercial Sales, APAC. This is a full-time position based in our Singapore office. What you'll do at Figma: Create and manage a pipeline of Commercial accounts from inbound and outbound activity to consistently meet or surpass sales targets Apply effective discovery and value-selling techniques to build and strengthen relationships with key decision-makers in both new and existing customers (100-2000 FTE’s) Align with executives on business challenges and gain sponsorship for enterprise wide deployments for a suite of products, identifying where Figma’s roadmap and innovations fit in the long term Manage a book of business by tiering accounts, initiating outbound prospecting strategies to build and manage a pipeline of opportunities, conduct thorough analysis to create account plans that outline company priorities and initiatives, multi-thread at senior level Co-create with cross-functional partners to expertly position Figma, drive deals forward and ensure customer success Leverage opportunities to advance executive level relationships through in-person meetings and networking opportunities We'd love to hear from you if you have: 2+ years experience closing sales for a software or SaaS business with a book of customers in the SMB or Commercial space (<2000 FTEs) Demonstrated experience successfully managing high volume sales cycles (1-3 months) Mandarin speaking fluency as the role potentially covers accounts in Greater China Demonstrate using a sales methodology (preferably MEDDICC or Command of the Message) to run effective discovery and/or in creating customer value While it’s not required, it’s an added plus if you also have: Experience selling solutions to technical audiences at executive level (i.e. Engineering, Product, Design teams) Certified in deal qualification and prospect discovery At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Задачи: — Работать с клиентами JFrog для проектирования, настройки и построения CI/CD пайплайнов и DevOps платформы с использованием продуктов JFrog и современных технологий, таких как Docker, Kubernetes, IaC и Cloud Native — Сотрудничать с отделами продаж, поддержки, разработки и клиентами для успешного внедрения DevOps с использованием платформы JFrog — Настраивать, проектировать и строить CI пайплайны с Docker, NPM, Java, Pypi и другими инструментами (Binary Repositories, Distribution to Devices, Continuous Build Tooling) — Обучать open source сообщество и клиентов JFrog — Влиять на функции и дорожную карту продуктов JFrog на основе потребностей клиентов — Следить за последними тенденциями в области DevOps и CI/CD технологий — Строить прочные отношения с клиентами и сообществом Требования: — Опыт работы 7+ лет с инструментами Continuous Integration: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM — Умение строить пайплайны доставки ПО с Docker, npm, Java, Pypi и различными DevOps инструментами, включая управление бинарными репозиториями и сканирование — Хорошее понимание инфраструктуры и операций: хранение, сеть, вычисления, безопасность, облака (публичные и on-prem) — Опыт работы с Continuous Deployment и Delivery инструментами: Chef, Puppet, Ansible, Kubernetes — Практический опыт работы с Linux (обязательно) — Практический опыт работы с облачной инфраструктурой AWS, Azure или GCP (обязательно) — Опыт работы с клиентами, хорошие межличностные и ориентированные на сервис навыки — Опыт работы с серверным ПО как on-premise, так и в облаке — Опыт в проектировании архитектуры ПО и разработке продуктов будет плюсом — Непреклонное желание учиться — Открытость к open source Условия: — Возможность удаленной работы для кандидатов, находящихся вне досягаемости офиса в Атланте — Базовая зарплата от 130000 до 150000 CAD в год, зависит от навыков, квалификации, опыта и местоположения — Возможность получения бонусов или комиссионных — Пакет акций (RSU) и участие в программе покупки акций для сотрудников — Комплексный социальный пакет: медицинское, стоматологическое, офтальмологическое страхование, пенсионные программы, программы оздоровления и др. JFrog является работодателем с равными возможностями и рассматривает всех кандидатов без дискриминации по любым признакам.

Location: Vladivostok Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com.   ABOUT YOU We are looking for a Backend Engineer at junior level to join our APAC Partnerships team in Vladivostok, working alongside our HQ Integration Management and Engineering teams. Your job is to make partnerships technically real: turning an inbound partnerships inquiry into a working integration, generating and serving the affiliate and referral links that Traffic Source Partners use, and making sure the traffic those links carry lands correctly in our Web Shops and is attributed all the way through to a purchase. You will write the backend that sits between a partner and our commerce platform — link generation, click and conversion tracking, attribution pass-through, postbacks, and the reporting endpoints that feed partner payouts. You will also build the internal tooling that lets the Partnerships and Customer Success teams onboard partners and reconcile payouts without hand-editing spreadsheets. This is an entry-level engineering role with genuine product surface area. Recent graduates and career-changers with a strong project portfolio are welcome. If you like small, well-scoped systems that other people depend on daily, and you want to learn commerce, attribution, and payments engineering from a team that runs it at global scale, we would love to hear from you. RESPONSIBILITIES Build partner integrations Build and maintain backend services that power Traffic Source partnerships: affiliate and referral link generation, click and conversion tracking, attribution parameter pass-through, server-to-server postbacks and webhooks, and partner-facing reporting endpoints. Take new partnerships inquiries from intake through to production — clarify the requirement with the Partnerships and BD teams, write the technical spec, implement, test, and deploy. Integrate affiliate links with Xsolla Web Shops so partner-driven traffic is tracked end to end and attributed correctly at checkout. Read a partner's API documentation and build against it; where a partner needs to build against us, document our side clearly and support their integration. Tooling & data Build internal tooling and scripts for partner onboarding, bulk link generation, performance data extraction, and payout reconciliation reporting used by the Customer Success and Partnerships teams. Investigate and resolve attribution and tracking discrepancies together with Analytics and Customer Success — missing conversions, duplicate events, broken parameters, timing mismatches. Add logging, metrics, and alerting so integration failures are caught by us rather than reported by a partner. Ways of working Write and maintain API documentation and integration guides for partners and internal stakeholders. Participate in code review, write tests, and work within existing CI/CD pipelines and Git workflows. Work with the HQ Engineering and Integration Management teams on standards and architecture; escalate design decisions early rather than working around them. Collaborate closely with the Partnerships Designer on the frontend surfaces your integrations power, and with Customer Success on the payout data your services produce. Track work in Jira and keep technical documentation current in Confluence. REQUIREMENTS 1–4 years of professional backend development experience, or a strong portfolio of personal, academic, or internship projects you can walk us through. Recent graduates are welcome. Working proficiency in at least one backend language — Go, PHP, Python, Node.js / TypeScript, or Java. Solid SQL and relational database fundamentals (schema design, joins, indexing basics). Good understanding of HTTP, REST APIs, JSON, webhooks, and API authentication (API keys, OAuth 2.0). Comfortable with Git and working in a code-review culture. Able to debug a problem you did not write — read logs, reproduce, isolate, and explain the cause. English sufficient for technical discussion and written documentation with HQ teams; Russian for day-to-day work in the Vladivostok office. Based in, or willing to relocate to, Vladivostok for an onsite role. NICE TO HAVE Exposure to affiliate or performance marketing technology: tracking pixels, S2S postbacks, click IDs and UTM parameters, last-click attribution, deduplication, or traffic-quality and fraud filtering. E-commerce, storefront, checkout, or payments integration experience. Frontend basics (JavaScript / TypeScript, React) — enough to work productively with the Partnerships Designer on shop and landing-page surfaces. Docker, CI/CD pipelines, and cloud platforms (GCP or AWS). Message queues, scheduled jobs, or data pipeline experience. Familiarity with analytics or BI tooling. Interest in the gaming industry, fintech, or high-load consumer platforms. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Paid professional training and attendance at specialized conferences Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library Health & dental insurance No dress code Comfortable and new office environment   The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. The position is on-site in San Francisco, CA, USA, with a fixed-term contract of 12 months.

Location: South Island Workplace: Remote ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE. We’re growing our team in the South Island, to meet market demand! Halter is looking for a hungry and driven sales leader to work with our sales team and grow Halter in the Upper South Island dairy team. We're looking for a go-getter who is out in the field, meeting farmers, championing Halter and converting them into customers. A ‘never give up attitude’ is crucial for this role; you will be a significant contributor to the growth and success of Halter in the Upper SI. You’ll be responsible for setting and managing quotas and commissions for the team, sales capability management and mentoring for our junior sales staff. You’ll use your strong sales background to drive end-to-end sales, from cold calling and on-farm meetings to deeply understanding our customers’ farm systems. You'll detail Halter’s value proposition, progress the sale, and ultimately close the deal. Make your mark with Halter and help us push the boundaries of farming, connecting animals and humans like never before. Location - This role is to be based anywhere in the Upper South Island region ideally in Christchurch. Frequent travel is required as part of the position. WHAT YOUR DAY COULD LOOK LIKE. - Setting and managing quotas, commissions and other sales management tasks for the sales team. - Coaching, mentoring and developing our junior sales staff to help drive their professional growth to reach targets. - Sourcing new leads and opportunities through proactive outreach, referrals/introductions, industry events and other channels, as well as fielding and responding to inbound inquiries. - Meet high growth sales targets by managing pipeline through to close, including screening, qualifying, executing on-farm demonstrations and successfully negotiating contracts with customers. - Collaborating with Customer Success to ensure successful post-sales handoff, implementations, customer satisfaction and account renewal. - Providing support, insight and communication to help build and foster trusting and enduring relationships with customers as they wait for deployment. - Leveraging opportunities and participating in relevant industry/Halter events and demonstrations. - Building and leveraging industry relationships to establish and maintain Halter's brand. - Focusing on the customer and their needs, providing feedback to help drive the product roadmap. - Working with the team to optimise and evolve the sales process to become faster, more efficient and more predictable as the company scales WHO ARE WE LOOKING FOR. - A complete end-to-end sales skill set with at least five years of experience. - Proven track records and examples of successfully sourcing new prospects, securing meetings with new leads and creating new sales opportunities. - Someone highly experienced in value-based sales with a proven history of closing deals and high-volume sales results. - Well-prepared with solid communication skills to present Halter's value proposition. - Experience in dairy farming or within the agricultural sector is a highly preferred. - A person who is results-driven, highly motivated with exceptional time management skills. - Adaptability in a high-stakes sales environment and the ability to think on your feet. - Sales experience in the technology-based industry is preferred - A university degree or equivalent would be excellent but not a must. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

This is a contract/part-time role: 10-20 hrs/week with a rate of $40-50/hr. NOPE is an AI safety company focused on the proliferation of relationships between humans and AI and their impact on wellbeing and societal fabrics. They measure real conversations and relationships involving AI, track incidents, analyze regulations, and run evaluations on both raw LLMs and deployed AI. Their mission is to hold AI labs and products accountable for harms produced and to foster safe and aligned AI through proper governance and scrutiny. The Social Comms role involves increasing NOPE's social media presence and becoming an active participant in the global conversation around AI safety and alignment. Responsibilities include taking research and artifacts produced by NOPE and creating a consistent, human presence on social channels by deciding what gets posted, writing content, and engaging with researchers, journalists, builders, and policymakers. The role requires maintaining an authoritative voice without growth-hacking or engagement bait. Work is asynchronous, any timezone, with direct access to the team and unpublished materials. The person will have significant authorship over NOPE's blog, LinkedIn, other social accounts, public spaces, and private community spaces relevant to their work. Ideal candidate qualities: — Deep care about AI's impact on human relationships and social norms — Abstract understanding of LLMs and their flaws — Experience running or growing popular social accounts — Writes authentically without relying on AI to generate content — Ability to distill research into key points that resonate with people — Can engage thoughtfully with critics and strangers publicly — Good judgment on which social channels matter — Experience in civic domains, public-good, policy, trust-and-safety, or non-profits — Bonus: published material relevant to AI proliferation and risks Applicants should mention the word AWARD and tag RNDYuNjIuMjEwLjE5Nw== to confirm they read the job post fully.

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: 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 Locations Beijing, China About the Role This role will be based in Beijing and will primarily cover customers in North China, with regular travel to the territory as needed. The Cloudflare APAC sales organisation operates as one integrated revenue system. Account Executives, Customer Engineers, Partner Account Managers, Business Development Representatives, Customer Experience Managers, Professional Services and Revenue Operations work as a continuous engine — winning, deploying, adopting, expanding, and scaling platform commitments across the full customer lifecycle. The system is supported by an AI-embedded operating model. The work itself, however, remains human. The role of every seller at Cloudflare is to bring critical thinking, judgment, and trust to customer relationships and outcomes. In this role, you will be responsible for driving significant growth by landing and expanding a portfolio of assigned customers in your assigned territory. The ideal candidate possesses a strong blend of sales acumen and technical understanding, enabling them to engage effectively with both technical and non-technical buyers. As an Account Executive, you will drive revenue velocity by utilizing foundational sales data layers for accurate forecasting, proactive pipeline management, and consistently exceeding attainment targets. You are the kind of operator who uses AI as a force multiplier every day, cares more about customer outcomes than job boundaries, and demonstrates curiosity, judgment, and high agency. Responsibilities Own and execute a comprehensive territory plan to consistently achieve and exceed sales and revenue targets. Cultivate long-term strategic relationships with key accounts and partners. Lead executive-level transformation narratives that earn the right to be in the architecture conversation. Leverage top partners as an extension of the sales team to co-sell alongside where they bring customer relationships, services capability, or procurement leverage. Drive regular forecast & pipeline cadences with top partners. Understand customer network architectures, the problems that Cloudflare can solve and effectively translate Cloudflare’s solutions to drive successful platform sales, ensuring clients can secure and scale their own AI-driven workloads. Manage contract negotiations and structure platform-level commercial commitments (multi-year, multi-product, outcome-anchored) rather than point-product deals. Stay engaged through onboarding, adoption, and the first renewal. Partner with Customer Engineers, Professional Services on a deployment plan with milestones tied to measurable outcomes. Proactively build and manage a robust sales pipeline by leveraging internal tools, AI-assisted research and pipeline sources (BDR, Channel, Marketing). Maintain high standards in pipeline discipline, CRM hygiene and forecasting accuracy. Desirable Skills, Knowledge, and Experience Bachelor's degree or equivalent work experience. Experience selling technology solutions in high-growth technology firms. Demonstrated track record of consistently meeting and exceeding multi-million dollar quota targets. Proficient in discovery, positioning, competitive selling, negotiation, closing, and multi-threaded land and expand strategies. Strong understanding of computer networking, cloud security technology, and how enterprise infrastructure adapts to automated data workflows. Exceptional interpersonal communication skills and value selling skills. Proficiency in modern sales software, customer data environments, and core systems (e.g., Salesforce, Tableau, G-suite). Thinks critically rather than reacting, exercises judgment under uncertainty, names risks honestly, shows genuine empathy for customers as people, can point to relationships built over time on trust, and demonstrates visible curiosity in how they prepare, sell, and learn. Willingness to actively engage with AI tools and experiment. Ability to travel as required. Cultural fluency for assigned markets; language proficiency where required. 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: Colombia; Mexico; Argentina; Brazil; Costa Rica; El Salvador About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Summary This is a rare 0→1 Founding Engineer opportunity to build a financial platform from the ground up within an already established and profitable ecosystem. We are looking for an exceptionally strong, hands-on engineer with direct fintech experience who has previously built core banking, payments, ledger, cards, or money-movement infrastructure at an established fintech, neobank, or financial technology company. This is not a management-first position. We need someone who still wants to architect systems, solve difficult technical problems, and write production code. You will work directly with the founders and an existing technical developer, taking significant ownership of the architecture, product, and technical direction. As the platform scales, you will also have the opportunity to help shape and build the engineering team around you. Key Responsibilities Architect and build core financial infrastructure, including accounts, balances, ledgers, transaction state machines, and money-movement systems. Build KYC/KYB, onboarding, compliance, permissions, limits, and approval workflows. Design integrations with banking partners, card issuers, payment rails, FX providers, and other financial infrastructure partners. Develop provider-independent architecture that supports multiple banking and financial providers without vendor lock-in. Build secure, reliable APIs and financial data models capable of handling reconciliation, event processing, retries, and exception handling. Own technical problems end-to-end, from architecture and database design through implementation and production deployment. Work directly with the founders to translate product requirements and business constraints into scalable technical solutions. Help establish engineering standards, technology choices, and the long-term technical direction of the platform. Requirements 3–8+ years of professional software engineering experience with strong backend or full-stack fundamentals. Direct experience building financial infrastructure within a fintech, neobank, payments company, or similar financial technology environment. Experience with core banking, payments, ledgers, cards, FX, reconciliation, KYC/KYB, or money movement. Proven experience building production-grade APIs and distributed systems. Strong database architecture and data-modeling skills. Experience with asynchronous workflows, queues, events, retries, idempotency, and transaction processing. Strong engineering judgment and product instincts, particularly when balancing speed, scalability, reliability, and correctness. Comfortable operating in a highly ambiguous 0→1 environment and taking significant ownership without requiring extensive direction. Natural initiative, creativity, and problem-solving ability. Highly hands-on and excited to continue writing production code rather than moving into a primarily managerial role. Nice-to-Haves Experience as a strong individual contributor, early engineer, founding engineer, or technical lead within a high-growth fintech. Background at companies such as Revolut, Wise, Monzo, N26, Nubank, Brex, Stripe, Plaid, Airwallex, Nium, Razorpay, Adyen, Checkout.com, PayPal, Column, Modern Treasury, or similar. Deep understanding of financial ledgers, reconciliation, transaction processing, or money-movement architecture. Experience integrating multiple banking, payment, card, or financial infrastructure providers. Familiarity with regulatory and compliance requirements surrounding KYC/KYB and international financial services. Experience building multi-currency, FX, card issuing, or cross-border payments products. Previous experience helping build a product or engineering function from an early stage. Benefits 💰 Milestone-based compensation 🌎 Fully remote and flexible work environment 🚀 High-impact founding role with 0→1 ownership 📈 Direct influence over architecture and technical direction 🎯 Opportunity to build on top of an already profitable platform 🛠️ Modern tech stack and provider-agnostic architecture 🧠 Collaborative environment working directly with experienced founders

Location: South Africa; Pakistan; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Summary This is a rare 0→1 opportunity to build a financial platform from the ground up within an established and profitable ecosystem. We are looking for a highly hands-on Founding Fintech Engineer – Banking & Payments who has previously built serious financial infrastructure and now wants significantly more ownership. You will work directly with the founders and alongside an existing technical developer to architect and build a neobank-style platform spanning business onboarding, KYC/KYB, accounts, payments, cards, FX, ledgers, reconciliation, and money movement. This is not a traditional engineering management position. We are looking for a strong individual contributor or technical lead who remains deeply technical, enjoys writing production code, and is comfortable solving difficult problems without an established playbook. As one of the earliest engineers on the financial product, you will have substantial influence over architecture, technology choices, financial domain models, provider integrations, engineering standards, and eventually the team built around the platform. Key Responsibilities Architect and build core financial infrastructure, including accounts, balances, ledgers, KYC/KYB workflows, transaction state machines, and reconciliation systems. Design and implement integrations with regulated banking partners, card issuers, payment providers, and payment rails including ACH, wires, international payments, and FX. Build provider-independent architecture that enables integration with multiple banks and financial infrastructure partners without creating dependency on a single provider. Develop secure, reliable financial APIs and data models capable of supporting complex transaction and money-movement workflows. Build asynchronous systems involving queues, events, retries, idempotency, exception handling, and transaction processing. Develop card issuing and card management integrations alongside multi-currency and FX functionality. Build internal operations, compliance, permissions, limits, and approval tooling. Own systems and features end-to-end, from architecture and database design through implementation, testing, deployment, and production operation. Work directly with the founders to translate business and product requirements into pragmatic technical solutions. Establish engineering standards and technical foundations that can support the future engineering team. Take initiative in ambiguous situations and independently identify solutions to complex technical and product problems. Requirements 3–8+ years of professional software engineering experience with excellent backend or full-stack fundamentals. Strong hands-on experience building production-grade APIs, backend services, and distributed systems. Proven experience working on complex systems where reliability, consistency, and data integrity are critical. Strong database architecture, data modeling, and system design skills. Experience with asynchronous workflows, including queues, events, retries, idempotency, and failure handling. Strong engineering judgment and the ability to balance speed, scalability, reliability, and maintainability. Demonstrated experience owning technical systems or major product areas end-to-end. Strong product instincts and an ability to translate ambiguous requirements into working software. Comfortable operating in a fast-moving, early-stage or 0→1 environment. A natural technical leader who takes initiative without needing a large team or established processes. Highly hands-on and genuinely excited to continue writing and shipping production code. Nice-to-Haves Significant hands-on experience within fintech, neobanking, banking infrastructure, payments, or financial technology. Experience building core banking, payment, ledger, card, FX, reconciliation, or money-movement infrastructure. Previous experience as an individual contributor or technical lead at a leading fintech, neobank, payments company, or financial infrastructure provider. Background at companies similar to Revolut, Wise, Monzo, N26, Nubank, Brex, Stripe, Plaid, Airwallex, Nium, Razorpay, Adyen, Checkout.com, PayPal, Column, or Modern Treasury. Experience designing financial ledgers, transaction state machines, or reconciliation systems. Familiarity with KYC/KYB, compliance workflows, and regulated banking integrations. Experience with card issuing or payment-processing infrastructure. Experience building multi-currency or FX-heavy financial products. Experience integrating multiple banking or financial infrastructure providers into a single platform. Previous experience joining an engineering organization early and helping take a product from 0→1. Benefits 💰 Milestone-based compensation 🌎 Fully remote and flexible work environment 🚀 High-impact founding role with 0→1 ownership 📈 Direct influence over architecture and technical direction 🎯 Opportunity to build on top of an already profitable platform 🛠️ Modern tech stack and provider-agnostic architecture 🧠 Collaborative environment working directly with experienced founders

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

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