Location: Kyiv, Ukraine
Workplace: Hybrid
[https://app.ashbyhq.com/api/images/user-content/eaa93aea-4a8e-480b-ac45-957f53a8b99b/230615d5-1e71-4618-8216-a6082a6261ae/Holy%20earth.png]
HOLYWATER TECH https://holywater.tech/ — це технологічна компанія, яка створює розважальні продукти на перетині людської творчості та штучного інтелекту. Вони є прикладами ШІ-нативних платформ, що переосмислюють способи сторітелінгу та дають змогу будь-кому стати творцем. Екосистема продуктів HOLYWATER TECH включає:
→ My Drama https://apps.apple.com/us/app/my-drama-watch-shorts-movies/id6498713494 — стримінгову платформу вертикальних серіалів, №1 серед європейських та американських компаній у ніші
→ My Passion https://apps.apple.com/us/app/my-passion-romance-books/id1568149521 — цифрову бібліотеку книг №1 у понад 10 країнах світу
→ My Muse https://apps.apple.com/ua/app/my-muse-audiobooks-stories/id6738098034 — платформу ШІ-генерованих серіалів, що відкриває нову еру сторітелінгу
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HOLYWATER TECH СЬОГОДНІ — ЦЕ:
- понад 100+ млн завантажень застосунків
- стратегічне партнерство з FOX Entertainment
- х2 рази — щорічне зростання компанії за 2024-2025 роки
- 30+ міжнародних нагород, зокрема Muse Creative, W3, Telly, Runway AI Film Festival, Lovie
- понад 100 млн годин переглянутого та прочитаного користувачами контенту
- провідні позиції у своїх нішах на ринках США та Європи
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Ми створюємо нові формати, історії та будуємо світ, де єдине обмеження — людська уява. І зараз шукаємо AI Series (YouTube), хто готовий/-а долучитися й творити його разом із нами.
ТВОЯ МІСІЯ:
- Створюватимеш власні шоу з нуля. Придумуєш світ, персонажів і тон, пишеш біблію серіалу, і вже за кілька тижнів твоя історія виходить на YouTube, а не лежить роками в шухляді продюсера.
- Шукатимеш, що зараз чіпляє мільйони. Розбираєш теми, жанри й тропи, які вистрілюють на YouTube, у вертикальних драмах і соцмережах, і першим перевіряєш їх у пілотних епізодах.
- Будуватимеш формулу, яка не відпускає глядача. Сильний хук у перші 30 секунд, арки на сезон, клифхенгери, після яких неможливо не ввімкнути наступну серію.
- Писатимеш у парі з AI, а не замість нього. Claude-скіли роблять чернетки, ти доводиш їх до рівня, за який не соромно. Так виходить 10+ сценаріїв на місяць на канал без вигорання і без тижнів над одним текстом.
- Отримуватимеш фідбек від реальної аудиторії щотижня. Разом із Lead of YouTube розбираєш криві утримання кожного епізоду і бачиш, як твої правки змінюють цифри вже в наступних серіях.
- Даватимеш друге життя готовим історіям. Перезбираєш бібліотеку серіалів студії в довгі формати з цілісною драматургією.
- Будеш фінальним голосом історії. Приймаєш результат AI-виробництва і стежиш, щоб на екрані був саме твій задум.
- Формуватимеш стандарт драматургії студії. Створюєш і вдосконалюєш сценарні скіли та планку якості, за якою працюватиме вся майбутня авторська кімната.
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ДЛЯ ЦЬОГО ЗНАДОБЛЯТЬСЯ ТАКІ НАВИЧКИ ТА ДОСВІД:
- Вмієш тримати історію на дистанції. Ти вже вів серіал, сюжетний канал, мікродраму, ігровий сюжет чи вебкомікс із постійними героями. Знаєш, як не загубити персонажів і канон на десятому епізоді та як розписати арку на сезон наперед.
- Не соромишся масових жанрів, а розумієш їх. Karma, revenge, romance, мелодрама для тебе не «попса», а ремесло з чіткими правилами. Ти знаєш тропи, які працюють, і бачиш, чому відео про русалку набирає 20 мільйонів.
- Мислиш утриманням. Хороший епізод для тебе — той, який досидять до кінця і після якого ввімкнуть наступний. Ти вмієш збудувати перші 30 секунд і фінал так, щоб глядач не пішов.
- Вже працюєш з AI щодня. Claude чи ChatGPT для тебе робочий інструмент у сценарному процесі. Ти вмієш довести AI-чернетку до професійного рівня, а не переписувати все з нуля.
- Сприймаєш цифри як творче завдання. «Глядач іде на 3-й хвилині» для тебе не критика, а загадка, яку хочеться розв'язати в наступній серії.
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ЩО ОТРИМАЄШ ВІД НАС:
- Швидке професійне зростання. Ми будуємо середовище, де розвиток — норма: лекції, бібліотеки, хакатони, школи. Компенсуємо профільне навчання й вивчення будь-якої мови, зокрема української.
- Формат роботи на твій вибір. Можеш працювати вдома, в офісі на київському Подолі чи у Львові (генератори, укриття, обіди, снеки — all inclusive), або ж за кордоном — маємо кілька офісів і там.
- Техніку та сервіси. Все, що треба для роботи.
- Відпочинок. 20 днів відпустки + на офіційні свята та безлімітні лікарняні.
- Турботу про тіло та менталку. Компенсуємо спорт, медстрахування в Україні (після випробувального), послуги корпоративного лікаря і підтримку ментального здоров’я&
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ЧОМУ З НАМИ КЛАСНО?
- Реальний вплив. Твої рішення впливають на 100+ млн користувачів — їхній досвід, емоції та час, який вони проводять у продукті.
- Жива культура. Ми створюємо середовище, де можна експериментувати й пробувати щось нове. Середня оцінка відповіді на питання «Наскільки тобі подобається працювати в HOLYWATER?» за результатами eNPS — 9,23/10.
- Автономність. Ми довіряємо рішенням команди: мінімум мікроменеджменту, максимум простору для ініціативи й впливу.
- Сильні люди поруч. Ми постійно челенджимо статус-кво та досягаємо нових вершин. Думати інакше й прагнути більшого — тут це підтримають.
Можливо, це — твій шанс стати нашим наступним big name?
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ХОЧЕШ БІЛЬШЕ ПРО HOLYWATER TECH? ЧЕКНИ ЦЕ:
Як працює HOLYWATER TECH — на Vector Media https://vctr.media/ua/vid-banochki-svyatoyi-vodi-zi-lvova-do-ugodi-z-fox-entertainment-yak-praczyuye-holywater-startap-yakij-buduye-netflix-dlya-vertikalnogo-video-318305/
Інтерв’ю со-CEO Богдана Несвіта https://www.linkedin.com/in/bogdannesvit/ про партнерство FOX Entertainment для Forbes https://forbes.ua/innovations/maemo-60-mln-koristuvachiv-i-rostemo-duzhe-shvidko-ukrainska-holywater-znimatime-vertikalni-seriali-z-amerikanskoyu-fox-yak-vona-zaluchila-takogo-partnera-intervyu-25102025-33594
Як ми створюємо вертикальні серіали — у подкасті на DOU https://youtu.be/E5nKjr605vs?si=eHKKN6MhQrbEzi8k
Про вертикальні серіали, які змінюють індустрію — у Детектор медіа https://detector.media/mediumy/article/248303/2026-03-13-vid-tiktok-do-gollivudu-prodyuserka-holywater-tech-pro-vertykalni-serialy-yaki-zminyuyut-industriyu/
Наші Instagram https://www.instagram.com/holywater.tech/ та LinkedIn https://www.linkedin.com/company/holywater/?viewAsMember=true — щоб бути в курсі всього, що в нас відбувається
Хочеш творити історію разом із нами в HOLYWATER TECH?
Відгукнися на вакансію!
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE JOB
Mistral AI is seeking Applied Scientists and Research Engineers focused on time series. You will design, train, and deploy state-of-the-art time-series foundation models, and apply them to the most demanding forecasting problems in industry, from power grids and plants to trading desks.
Timestral, our family of time-series foundation models, ranked first on amongst all benchmarks at release (tech report https://arxiv.org/pdf/2610.37585v1: https://arxiv.org/pdf/2610.37585v1 ). The role has two sides: building the next generations of Timestral with our Science team, and taking them into production with our industrial and financial clients, adapted to their data. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry.
WHAT YOU WILL DO
- Run pre-training, post-training and deploy state of the art time-series foundation models on clusters with thousands of GPUs.
- Generate and curate large-scale time-series datasets, real and synthetic, and build evaluators and benchmarks for forecasting and other time-series tasks.
- Push the frontier of Timestral: architectures, training recipes, scaling, and new capabilities such as anomaly detection, classification and embeddings.
- Fine-tune and adapt Timestral on client data, in the cloud or on-premise, and benchmark it against the client's existing models.
- Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.
- Collaborate with cross-functional teams to tackle complex use cases, including agents that combine Timestral with Mistral LLMs.
- Manage research projects and communications with client research teams.
ABOUT YOU
- Fluent in English with excellent communication skills, at ease explaining complex technical concepts to both technical and non-technical audiences.
- Expert with PyTorch or JAX.
- Solid knowledge of modern deep learning and large language models: architectures, pre-training, post-training and evaluation.
- Experience pre-training or fine-tuning time-series foundation models or large transformer models at scale.
- Strong background in time-series modelling: probabilistic forecasting, multivariate series and covariates, and classical baselines (statistical models, gradient boosting).
- Not afraid of contributing to a big codebase; finds their way around independently with little guidance.
- Writes clean, readable, high-performance, fault-tolerant Python code.
- Doesn't need roadmaps: moves independently and is comfortable with uncertainty.
- Low-ego, collaborative and eager to learn.
- Track record of success through personal projects, professional projects or academia.
NICE TO HAVE
- Ex-founder or builder
- PhD / Master in a relevant field (Machine Learning, Statistics, Applied Mathematics, Physics). Exceptional candidates from other backgrounds welcome.
- Research on time-series foundation models: pre-training, scaling, synthetic data or evaluation.
- Hands-on experience training or fine-tuning LLMs, building agents and tool use, or models that combine text and time series.
- Industry experience in energy, industrial operations, telecom or finance, or experience deploying models for industrial clients.
- Experience working on large code bases or large machine learning models at scale.
- Contributions to a large open-source or industry codebase.
- Publications in top academic journals or conferences.
- Enjoys improving existing code: typing, tests, CI pipelines.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— Помогать главному специалисту по комплаенсу (CCO) улучшать программу комплаенса компании при запуске новых функций и продуктов, с акцентом на опционный бизнес.
— Выполнять функции зарегистрированного опционного руководителя (ROP), утверждать опционные счета и контролировать торговлю опционами согласно FINRA Rule 2360.
— Контролировать обработку исполнения и назначения опционов в сотрудничестве с Apex Clearing, включая раскрытие методов распределения, соблюдение сроков и обработку исключений.
— Сотрудничать с командами продукта и инженерии по дорожной карте технологий для надзора за опционами, включая инструменты наблюдения, автоматизацию обработки исключений и рабочие процессы утверждения счетов.
— Участвовать в мониторинге торгов клиентов, проверяя исключения по AML и федеральным нарушениям, включая отчеты по опционам.
— Поддерживать улучшение политик и процедур, включая раздел по опционам в рабочих стандартах компании, а также помогать CCO при регуляторных проверках.
— Проводить, проверять и правильно распределять жалобы клиентов, включая их регистрацию и расследование эскалаций.
— Контролировать публичные каналы коммуникации для снижения рисков компании, включая утверждение опционных коммуникаций согласно FINRA Rule 2220.
— Поддерживать брокерские операции, включая функции надзора и взаимодействие с клиринговой фирмой.
— Определять области для улучшения, предлагать решения и внедрять инновации в программу комплаенса, включая инструменты наблюдения и обработки исключений.
— Масштабировать процессы для улучшения операций комплаенса по мере роста опционного продукта.
Требования:
— Опыт работы в брокер-дилере или клиринговой компании, предпочтительно Apex Clearing.
— Прямой опыт запуска или масштабирования продукта с листингом опционов в брокер-дилере или финтехе, включая операции исполнения/назначения и взаимодействие с клиринговой фирмой.
— Опыт работы с инструментами наблюдения или обработки исключений, например, создание или настройка дашбордов, работа с SQL и командами данных.
— Опыт настройки новых продуктов в финтехе.
— Владение испанским языком.
Условия:
— Работа в быстрорастущем стартапе с амбициями стать следующим единорогом Латинской Америки.
— Членство в сообществе Y Combinator.
— Полностью удалённая работа с гибким графиком.
— Опционы на акции.
— Работа в мотивированной и выдающейся команде.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're hiring an experienced Performance Marketer to own and scale paid search and emerging AI advertising channels at LangChain, starting with Google Ads, Bing (Microsoft Advertising), and ChatGPT.
You'll own the entire paid acquisition experience, from developing channel strategy and building campaigns to optimizing landing pages, improving conversion rates, and driving qualified pipeline.
This is a highly hands-on role. You'll be the person building campaigns, analyzing performance, testing creative, improving landing pages, and identifying new opportunities to scale.
We're looking for someone who combines deep paid search expertise with a willingness to experiment with emerging advertising platforms. You should be comfortable managing significant budgets, making data-driven investment decisions, and connecting advertising performance to downstream pipeline rather than just clicks, leads, or conversions.
WHAT YOU'LL OWN
PAID ACQUISITION STRATEGY AND PIPELINE
- Own the strategy across Google Ads, Bing, and ChatGPT advertising, with the opportunity to expand into additional AI-native advertising channels.
- Develop channel-specific strategies based on audience intent, available targeting capabilities, and expected pipeline contribution.
- Own budget allocation, forecasting, and performance against pipeline targets.
- Balance investment across branded, non-branded, competitor, and product-specific campaigns, along with emerging AI advertising opportunities.
- Identify opportunities to scale high-performing campaigns and build repeatable playbooks for new channels.
- Develop testing roadmaps across audiences, messaging, bidding, conversion experiences, and new advertising formats.
END-TO-END CAMPAIGN EXECUTION
You'll own campaign execution across all three channels:
- Google Ads: Build, launch, and manage campaigns across branded, non-branded, competitor, and product search, including keyword research, match types, negative keywords, bidding, and budget optimization.
- Bing / Microsoft Advertising: Develop and manage campaigns tailored to Microsoft's search audience, identifying opportunities to extend reach and capture incremental high-intent demand.
- ChatGPT advertising: Develop and execute an early advertising strategy, testing available placements, audience approaches, messaging, and conversion experiences as the platform evolves.
- Creative and messaging: Write and test ad copy in partnership with Product Marketing, adapting messaging to each channel and its user intent.
- Experimentation: Run structured tests to improve acquisition efficiency, traffic quality, and pipeline conversion.
- Campaign operations: Own campaign setup, tracking validation, launch readiness, troubleshooting, and day-to-day optimization.
PAID CONVERSION EXPERIENCE AND WEBSITE OPTIMIZATION
- Own the website conversion experience for traffic acquired through Google, Bing, and ChatGPT.
- Build and optimize dedicated landing pages for paid acquisition campaigns using Webflow or similar tools.
- Develop and execute A/B tests across landing page messaging, layouts, CTAs, and forms.
- Identify friction across the full user journey, from ad interaction to product sign-up, demo request, or meeting booking.
- Optimize conversion paths for both developers exploring LangSmith and enterprise buyers evaluating commercial solutions.
- Partner with Marketing Operations to improve form conversion, qualification, routing, and meeting booking.
- Ensure landing page experiences reflect the user's intent and context across different advertising channels.
MEASUREMENT, REPORTING, AND OPTIMIZATION
- Own performance reporting across spend, traffic, conversions, qualified leads, meetings, opportunities, and pipeline.
- Develop channel-specific measurement frameworks for Google Ads, Bing, and ChatGPT based on their available reporting and conversion capabilities.
- Partner with Marketing Operations to connect advertising conversion signals with HubSpot and Salesforce data.
- Optimize established search channels toward downstream pipeline signals, including offline conversion tracking where supported.
- Establish a testing and measurement approach for emerging channels where attribution and optimization capabilities may be less mature.
- Analyze performance across channels, audiences, campaigns, and landing pages to identify where to invest, optimize, or reduce spend.
CROSS-FUNCTIONAL PARTNERSHIP
- Partner with Product Marketing to translate positioning into search campaigns, AI advertising messaging, and landing page experiences.
- Work closely with Web and Design on landing page development and conversion experimentation.
- Collaborate with Marketing Operations on tracking, attribution, CRM integrations, and reporting accuracy.
- Align with Demand Generation on product launches, campaign priorities, budget allocation, and pipeline targets.
WHAT WE'RE LOOKING FOR
- 5–11 years in performance marketing, paid search, or B2B growth marketing, ideally in developer tools, infrastructure, or technical SaaS.
- Deep hands-on expertise in Google Ads and experience managing Microsoft Advertising.
- Proven experience personally building, launching, and optimizing paid search campaigns.
- Strong understanding of campaign architecture, keyword intent, bidding strategies, negative keywords, and search budget optimization.
- Experience testing new advertising platforms or emerging acquisition channels. Curiosity about AI-native search and advertising is important.
- Strong experience with conversion rate optimization, landing page development, and A/B testing.
- Experience managing meaningful budgets and optimizing toward qualified pipeline and revenue outcomes.
- Strong analytical skills and fluency in CPC, CVR, CPL, cost per opportunity, pipeline contribution, and attribution.
- Working knowledge of Google Ads, Microsoft Advertising, GA4, Google Tag Manager, HubSpot, Salesforce, and Flint/Webflow.
- Comfortable with technical products and developer audiences.
- A strong experimentation mindset and willingness to build new programs without an established playbook.
- Comfortable with ambiguity and true ownership.
COMPENSATION
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance.
Salary Range: $165,000-$190,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're hiring an Integrated Campaigns Manager to own how LangChain brings our biggest narratives to market through integrated, multi-channel campaigns and webinars programs that generate awareness, engagement, and pipeline globally.
You'll partner closely with Product Marketing, Solutions, Industry Marketing, and Thought Leadership to translate messaging, customer stories, and content into full-funnel campaigns. From defining the campaign strategy and channel mix to building landing pages, launching webinars, coordinating promotion, and optimizing conversions, you'll own execution from start to finish.
You'll be responsible for connecting the dots across channels, audiences, and regions, ensuring we're not just launching individual tactics but building cohesive campaigns that move prospects through the funnel.
We're looking for someone who is equally comfortable developing a campaign strategy and getting into the details of execution. You should know how to turn an idea into a live campaign, measure what's working, and continuously optimize to drive pipeline.
WHAT YOU'LL OWN
GLOBAL INTEGRATED CAMPAIGN STRATEGY AND PIPELINE
- Build and own global integrated campaign plans across our core product, solutions, industry, and thought leadership narratives.
- Partner with Product Marketing, Solutions, Industry Marketing, and Thought Leadership to translate positioning and content into campaigns with clear audiences, messaging, channels, and conversion goals.
- Develop full-funnel campaign strategies that connect awareness and education to demand capture and pipeline generation.
- Define campaign goals, audience segmentation, channel investments, and success metrics, with accountability for campaign-sourced and influenced pipeline.
- Partner with regional demand generation and field marketing teams to adapt global campaigns for NAMER, EMEA, and APAC markets.
- Build repeatable campaign playbooks and identify opportunities to scale successful programs across regions.
END-TO-END CAMPAIGN EXECUTION
You'll own the campaign from initial concept through launch, optimization, and reporting, and be hands-on throughout.
- Integrated campaigns: Build and execute multi-channel campaigns across email, paid media, organic social, webinars, third-party promotion, and sales outreach.
- Webinars and virtual programs: Own end-to-end webinar execution, including programming strategy, speaker coordination, promotional planning, registration and attendance optimization, and post-event follow-up. Programs may include thought leadership webinars, product education, live demos, and industry-specific sessions.
- Campaign assets and landing pages: Partner with content, design, and web teams to develop campaign assets and landing pages, ensuring consistent messaging and compelling conversion paths.
- Lifecycle: Partner with lifecycle marketing to develop segmented nurture programs, audience journeys, and follow-up campaigns that move prospects from initial engagement toward sales opportunities.
- Paid and digital: Partner with performance marketing on audience targeting, paid promotion, retargeting, campaign creative, and conversion strategies.
- Sales activation: Build campaign enablement and outreach plays with sales and SDR teams to turn engagement into meetings and opportunities.
CONVERSION OPTIMIZATION AND CAMPAIGN PERFORMANCE
- Own campaign conversion performance across landing pages, webinar registrations, content downloads, and other campaign conversion points.
- Identify friction across the customer journey and develop experiments to improve conversion rates and lead quality.
- Optimize campaign messaging, creative, targeting, offers, and CTAs based on performance.
- Track campaign effectiveness across engagement, MQLs, meetings, opportunities, and pipeline.
- Partner with Marketing Ops to ensure proper campaign tracking, attribution, and reporting.
- Translate performance insights into recommendations on where to invest, what to improve, and what to scale.
CROSS-FUNCTIONAL PARTNERSHIP
- Work directly with Product Marketing and content marketing to understand product positioning, launches, and messaging priorities and translate them into global campaign strategies.
- Identify compelling narratives, customer proof points, and campaign opportunities with cross-functional partners.
- Partner with regional and field marketing teams to ensure global campaigns are relevant to local audiences and sales priorities.
- Work closely with Performance Marketing, Lifecycle, and Marketing Ops to build coordinated programs across channels.
- Collaborate with Sales and SDR teams on campaign activation, account targeting, and follow-up strategies that drive pipeline.
- Own campaign planning, timelines, stakeholder alignment, and execution to ensure campaigns launch successfully.
WHAT WE'RE LOOKING FOR
- 5–11+ years of experience in B2B demand generation, integrated campaigns, or growth marketing, ideally in developer tools, infrastructure, AI, or technical SaaS.
- Proven experience building and executing multi-channel integrated campaigns, with measurable pipeline or revenue outcomes.
- You've personally built and launched campaigns, including landing pages, email programs, webinars, promotional plans, and nurture journeys.
- Strong understanding of full-funnel campaign strategy, audience segmentation, channel orchestration, and conversion optimization.
- Experience running end-to-end webinar and virtual event programs, from planning and promotion to follow-up and performance analysis.
- You're comfortable translating technical product messaging and thought leadership into campaigns that resonate with both technical practitioners and enterprise decision-makers.
- Strong analytical skills and fluency in funnel conversion, MQLs, cost per opportunity, campaign attribution, and pipeline contribution.
- Experience working across global and regional marketing teams, balancing consistent campaign messaging with local market needs.
- Working knowledge of modern marketing tools such as HubSpot, Salesforce, Goldcast, Zoom Webinar, and Google Analytics.
- Strong project management skills with the ability to coordinate multiple stakeholders, prioritize competing initiatives, and launch campaigns on schedule.
- You're a builder. You can develop the strategy, write the copy, build the landing page, launch the campaign, pull the report, and optimize based on the results.
- Comfortable with ambiguity, fast-moving environments, and true end-to-end ownership.
COMPENSATION
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location.
Salary Range: $165,000-$190,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Remote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Most infrastructure engineers never get to build a cloud from the metal up. At Render, you will. Developers and businesses around the world run their apps on Render, and we are building our own bare metal footprint to give them better performance and economics. You'll help take our first colocation site from an empty cage to production workloads, then scale that foundation as we expand our physical presence to thousands of hosts over the coming years.
You'll join a small, experienced team with real ownership. You'll partner closely with network engineering and our Kubernetes platform team, and the decisions you make now will become the template for every site that follows.
WHAT YOU'LL DO
- Take our first colocation site from empty cage to production workloads, then scale what you build as we grow to more sites and thousands of hosts
- Design how servers go from the loading dock to production with minimal human touch: netboot, imaging, BMC-driven discovery, and host identity
- Partner with network engineering on what the fleet needs from the network, from out-of-band management to production connectivity
- Build the interface our Kubernetes platform team uses to request capacity, see host health, and coordinate maintenance, so consuming bare metal feels as easy as consuming cloud
- Own the fleet's source of truth for hardware, software, and the physical environment
- Automate the full server lifecycle, from burn-in and acceptance testing through remediation, staged firmware rollout, and RMA
- Build automation like a production system, with guardrails on destructive actions and designs that survive site-level failure
- Shape the technical and operational direction of our bare metal platform, from build-vs-buy decisions to how we operate thousands of hosts, and help hire the team that runs it
WHAT WE'RE LOOKING FOR
- Hands-on experience building and operating automation for bare metal fleets in datacenters or colocation
- Both sides of the work: time with physical hardware and colo providers, and modern, software-driven fleet management
- Strong Go or Python, and experience designing systems with reconciliation loops and idempotent, failure-tolerant actions
- Depth below the abstraction: you know what your tools are doing under the hood and can debug them when they fail
- Experience operating through real failures, such as bad hardware batches, flapping BMCs, or a rollout you had to halt
- Deep Linux knowledge and solid networking fundamentals (DHCP, PXE, DNS, BGP)
- Working knowledge of Kubernetes, enough to design the interface between the fleet and the clusters that run on it
- Clear communication, comfort with ambiguity, and the willingness to push back on a plan when something doesn't add up
NICE-TO-HAVES
- Operating bare metal fleets at a scale of thousands of hosts
- Experience on a bare metal or datacenter build-out from its early days
- Running a hybrid environment, or moving workloads between public cloud and owned hardware
- DCIM/IPAM tools such as NetBox or Nautobot, or provisioning stacks such as Ironic/Metal3, Tinkerbell, or MAAS
- Building reconcilers or state machines for physical infrastructure
- Hardware depth: component diagnostics, burn-in tooling, firmware, or Redfish and IPMI at fleet scale
- Building internal platforms or APIs used by other infrastructure teams
- Based near our colocation sites, or able to visit them regularly
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
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Location: San Francisco Bay Area, CA
Workplace: Hybrid
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
ABOUT THE ROLE
Reporting to the COO, the VP of Finance will serve as the senior financial executive responsible for the full spectrum of corporate finance, including FP&A, accounting, strategic planning, board reporting, and IPO-readiness. You will manage a high-performing finance team, build the systems and processes that support a scaling infrastructure as a service business, and act as a trusted advisor to leaders across the organization.
This is a high-ownership role for a builder who is equally comfortable in the boardroom and in the details. A successful hire will be able to turn complex business data into clear strategic guidance and scale a lean finance function without losing rigor by leveraging the latest technology available.
There is not currently a CFO in place, so there is also potential room for growth into that role for high performers.
WHAT YOU'LL DO
Financial Planning & Strategy
- Serve as a strategic thought partner to the COO and CEO — bringing a financial lens to company-level decisions on market positioning, competitive strategy, pricing, geographic expansion, and capital allocation
- Co-own the company’s long-range strategic plan alongside executive leadership, shaping not just the financial expression of strategy but the strategy itself
- Identify the financial and operational levers that drive sustainable growth, and advocate for resource allocation decisions that reflect Teleport’s most important strategic bets
- Own the annual planning and quarterly forecasting cycles, delivering accurate, driver-based financial models across revenue, cost, and headcount
- Lead scenario analysis and sensitivity modeling to pressure-test strategic options and support key investment decisions
- Translate financial data into clear, actionable insights for the COO, CEO, and Board of Directors by connecting day-to-day performance to long-term strategic goals
Accounting & Controls
- Oversee all accounting operations including monthly close, revenue recognition (ASC 606), and financial statement preparation
- Maintain and strengthen internal controls, ensuring compliance with US GAAP and audit readiness
- Manage relationships with external auditors and tax advisors
Board & Investor Reporting
- Prepare board-level financial packages, investor updates, and management reporting with clarity and precision
- Support fundraising, debt financing, and M&A diligence processes as needed
- Develop the financial narrative for investors and analysts, underpinned by robust SaaS metrics
Business Partnering
- Partner closely with Sales, Product, Engineering, and People leaders to drive financial accountability across the business
- Own financial metrics and provide regular performance analyses
- Support revenue operations, pricing strategy, and go-to-market financial planning
Team & Systems Leadership
- Lead, mentor, and scale a high-performing finance team including FP&A, accounting, and revenue operations
- Drive the selection, implementation, and optimization of financial systems and tools (ERP, FP&A platforms, billing infrastructure)
- Build scalable, automated financial processes that support rapid growth and eventual public-company readiness
- Champion and model the use of AI and modern technology tools — actively embedding automation, AI-assisted analysis, and intelligent workflows into finance operations to move faster, reduce manual work, and raise the quality of output
- Set the standard for technology fluency on the finance team: encourage experimentation with tools like Claude and other AI systems for modeling, reporting, and documentation, and create space for the team to share what works
WORKING AT TELEPORT IN THE AGE OF MODERN TECHNOLOGY
At Teleport, using the best available tools and systems isn’t a nice-to-have — it’s part of how we work. We expect every Teleporter to actively adopt modern technology to do their job better: move faster, think harder, and produce work they’re proud of. That means embracing automation, better documentation systems, analytics, and tools like Claude regularly, bringing technology into your problem-solving, and sharing what works with your team.
WHAT WE'RE LOOKING FOR
- 18+ years of progressive financial leadership experience, with significant time as VP of Finance, CFO, or equivalent senior finance executive
- Proven record of success at a high-growth B2B Cybersecurity, SaaS or infrastructure technology company in Series D/E/F stages with over $200mln in ARR
- Strong command of GAAP accounting, SaaS financial metrics, financial controls, and audit processes
- Demonstrated experience supporting a company through key inflection points — Series C+, late-stage private, or IPO preparation
- Outstanding communication skills — able to present complex financial matters to executive teams, boards, and investors with confidence and clarity
- Proven ability to build and lead high-performing, geographically distributed finance teams
- Hands-on experience evaluating, selecting, and scaling financial systems (NetSuite, Workday, Adaptive Insights, or comparable platforms)
- Collaborative, data-driven decision-maker who thrives in a fast-moving, distributed environment
- Ability to be in-person in our HQ in Oakland, CA, a few times a week for in-person collaboration with the executive team.
NICE TO HAVE
- CPA, CFA, or MBA from a leading program
- Experience taking a company through late stage private funding stages and IPO
- Open-source or developer-tools experience.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Over the past years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We believe customer support should always feel like an extension of that experience. As a Product Support Specialist at Linear, you’ll contribute to the future of our product by surfacing customer feedback and insights, contributing to our technical documentation, and engaging a technical customer community via social channels.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based within U.S. and Canada Eastern or Central Time. You can work from anywhere within those time zones. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you’ll do
- Support customers in end-to-end engagement, including onboarding, account setup, debugging issues, feature and integration discovery
- Investigate and resolve inbound customer issues reported through all communication channels, including email, Slack, Twitter, and Reddit
- Partner with our engineering team to document and reproduce bugs
- Surface trends and insights from customer feedback to the team at large to inform product choices
- Lead select strategic projects to improve the support experience, internal knowledge sharing, and product operations
What we're looking for
- Passion about technology, quality, and Linear’s mission
- Excellent communication and customer service skills and experience working with a technical or engineering user base. Ability to adapt your communication approach to non-technical users.
- Experience troubleshooting technical issues, including APIs and integration setups. Ability to reproduce bugs with Linear and our integrations in various environments (different browsers, Windows, Mac, Mobile).
- Familiarity with SQL, Javascript, APIs, and GitHub is a plus. If you don’t have direct experience in these areas, curiosity to learn more is desirable as well. Please note that this is not a product engineering role.
- Based in U.S. or Canada Eastern or Central Time only.
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Compensation
For US-based candidates, the expected cash compensation range for this role is $95,000—$135,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear.
Learn how we think and work
- A story about our mission: Read Me https://linear.app/readme
- Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Location: Remote
Workplace: Remote
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the team & role
Security at Rain protects a platform where real money moves every second, across cloud infrastructure, identity, endpoints, partner integrations and smart contracts. The team is small, senior and cross-functional, and it builds most of what it runs. Our engineers use AI agents for alert triage, investigation and response, and they design, tune and supervise those agents. Together we build Rain’s central systems for detection, response, sensors and threat intelligence, working directly with engineering, compliance and leadership.
You will secure the systems Rain builds next. The role spans the whole program: you will build security tooling and controls, harden our infrastructure and access, and take on the hardest problems as Rain expands into new products and chains.
What you’ll do
- Build central security systems and automation the whole company relies on
- Secure cloud infrastructure, identity and access across Rain’s growing footprint
- Assess new products, partners and vendors before launch, and guide the engineers building them
- Build AI agents and tools that make security work faster and more accurate
- Lead external security assessments and drive findings to verified fixes
- Join the on-call rotation and support incident response
WHAT WE’RE LOOKING FOR
- 5+ years in security engineering, including building tools and controls that run in production
- Strong coding skills in TypeScript, Go, Rust or Python
- Experience securing cloud infrastructure, identity and access
- Ability to find vulnerabilities, prove them, and drive the fix with the team that owns the code
- Experience at a fintech, payments or crypto company
Nice to have
- Blockchain security: smart contract review, onchain monitoring, custody and multisig controls
- AI security: securing LLM applications and agents, or building AI into security workflows
- Experience running external audits or a bug bounty program
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace, if you feel comfortable at home please work from home. If you’d like to work with others in an office feel free to come in. We want everyone to be able to work in the environment in which they are their most confident and productive selves. New Rainmakers will have a stipend to create a comfortable atmosphere at home.
Easy to access benefits 🧠For US Rainmakers, we offer comprehensive health, dental and vision plans for you and your dependents, as well as a 100% company subsidized life insurance plan.
Retirement goals💡Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 We offer every Rainmakers an equity option plan so we can all can benefit from our success.
Rain Cards 🌧️ We want Rainmakers to be knowledgeable about our core products and services. To support this mission, we issue a card for our team to utilize the card for testing.
Health and Wellness 📚 High performance begins from within. Rainmakers are welcome to use their card for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
Team summits ✨ Summits play an important role at Rain! Time spent together helps us get to know each other, strengthen our relationships, and build a common destiny. Expect team and company offsites both domestically and internationally.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
DX Engineering shows developers what building on Render is actually like. We make the tutorials, demo apps, templates, and videos that get developers to try Render, and we build the agent skills and internal tooling that keep that work running at scale. We're also often the first real users of what Render ships. We test major releases end to end, the way a customer would, and tell Product and Engineering where they fall down before customers hit it.
As a DX Engineer, you'll own technical content and code from the first idea to a working sample app, docs, and video. You'll work with DevRel, Product Marketing, Product, and Engineering, and you'll have real influence over how developers and coding agents discover and adopt Render.
This is a remote role within the US, with the option to work out of our headquarters in San Francisco.
WHAT YOU'LL DO
- Build tutorials, demo apps, and videos that show developers how to build real things on Render, with a focus on AI applications, agents, and Render's AI runtime products like Render Workflows.
- Own Render templates and the render-examples GitHub org for the frameworks developers ask about most. Everything you ship has to deploy and run.
- Build agent skills, automation, and internal tools so the team stops doing repetitive content and ops work by hand.
- Improve how Render shows up in LLM and answer-engine results. Dig into why Render is missing from an answer it should be in, then ship the content or fix that changes it.
- Alpha test new releases end to end and write up what breaks, with enough detail for Product and Engineering to act on.
- Contribute code to developer-facing surfaces like the Render CLI, MCP server, SDKs, and docs.
- Shape the content roadmap and quality bar with Product, Engineering, and Marketing, and iterate on feedback and metrics.
- Set technical direction for DX Engineering's content and tooling, and raise the bar for the rest of the team through reviews, standards, and your own work.
WHAT WE'RE LOOKING FOR
- 8+ years building developer content, or working as an engineer who teaches, at a developer tools or infrastructure company.
- Experience setting technical direction and raising the bar for a team.
- Full-stack engineering experience. Strong backend skills (Node.js/TypeScript, Python, Postgres), comfort with Docker and containers, and enough frontend skill to ship sample apps end to end.
- Deep, hands-on knowledge of AI agents and the workloads they run. You've built and deployed agents that call tools, run code in sandboxes, and handle long-running tasks with retries and state, and you know what infrastructure each of those needs.
- Experience with the agent stack: MCP servers, agent frameworks, LLM APIs, evals, and durable workflow or background job systems.
- Daily fluency with coding agents like Claude Code, Codex, and Cursor, and the taste to ship quality work at a steady cadence with them.
- Excellent technical writing. You know what world-class developer content looks like.
- A track record of owning projects end to end with little direction.
- Strong intuition for developer tools and a love of well-crafted user experiences.
NICE-TO-HAVES
- You've used Render before, professionally or on side projects.
- Experience with AEO or SEO, or with measuring how content performs in LLM answers.
- A public body of work: talks, a YouTube channel, popular open source repos, or a well-read blog.
- Experience presenting workshops and technical talks.
SOME PROJECTS YOU MIGHT WORK ON
- A video series on building and deploying an MCP server on Render.
- A sample app for an upcoming launch, built with Product and Engineering ahead of release.
- An agent skill that turns a tutorial into a tested, deployable template.
- Tracing why coding agents fail on a specific docs page, then shipping the fix.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
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Location: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
We're hiring a Vice President to own and lead our EMEA business. You'll inherit a team of 20+ quota-carrying Commercial and Enterprise AE's across four hubs: London, Amsterdam, Munich, Stockholm and be responsible for building the management layer, operating model and partner ecosystem that takes the EMEA region from early traction to consistent, scaled revenue.
This is a second-line leader role that will see you report directly to the Global Vice President of Sales and operate with meaningful autonomy across pipeline, hiring, partner relationships and executive engagement.
WHAT YOU'LL OWN
Team leadership and performance
- Lead, develop and expand the Sales teams across EMEA from day one
- Run weekly pipeline reviews, deal coaching sessions, and forecast calls with precision and consistency
- Identify and close performance gaps early: coach the team to close larger deals faster and navigate complex, multi-stakeholder cycles
- Build a culture of accountability and development; create clear career paths for senior individual contributors, including first-line management opportunities as the team scales
Revenue
- Own the EMEA number: quarterly and annual quota attainment across all sub-regions
- Build and maintain a healthy pipeline that supports consistent delivery and predictable forecasting to leadership
- Engage directly in strategic deals as executive sponsor, bringing credibility and commercial weight to enterprise negotiations
- Establish the region's strongest lighthouse accounts across key industry verticals, building referenceable wins that anchor LangChain's market position in EMEA
Hiring
- Manage multiple open roles across EMEA simultaneously: owning the full hiring lifecycle across pipeline, assessment and closing
- Partner with the internal talent team to move at pace without compromising on quality
- Define the headcount profile for EMEA beyond Q4 and feed into H1 planning, ensuring the team is built ahead of the revenue curve
Partner ecosystem
- Owns hyperscaler and GSI/RSI relationships (AWS, Google Cloud, Azure, and key SIs) across EMEA
- Develop a structured partner motion that generates qualified pipeline and supports deal acceleration, reduces risk and drives expansion
- Represent LangChain at partner QBRs and executive engagements in region
Market presence
- Represent LangChain as a keynote-ready leader at partner events, customer engagements, and industry conferences across the region: including KubeCon, Money20/20, Nordic AI summits, and customer EBCs
- Build LangChain's brand with technical buyers, CIOs, and innovation leaders across Northern Europe's most important enterprise accounts
- Bring intelligence on the EMEA markets back to the Global VP of Sales and product teams to inform roadmap and go-to-market positioning
WHAT WE'RE LOOKING FOR
Experience
- 10+ years in enterprise SaaS sales, with at least 5+ years in a regional or sub-regional leadership role managing quota-carrying AE's
- Demonstrable track record of hitting and exceeding regional revenue targets across multiple quarters
- Experience managing teams across multiple countries and time zones, with the cultural intelligence to operate across EMEA
- Background selling to technical buyers (engineering leaders, CTOs, platform teams): you understand how developer tools get evaluated and adopted
- Experience in the AI, data, or developer tooling space strongly preferred; familiarity with the LangChain ecosystem is a meaningful plus
Leadership
- You've run teams of 20+ AEs before and know the difference between managing and coaching
- You can hold a forecast conversation with a VP and a deal coaching session with an AE in the same afternoon and add value in both
- You hire well and fast. You know what good looks like for enterprise AE profiles and you can run structured hiring processes across four open roles simultaneously
- You've built or contributed to a partner motion before: you understand what "partner pipeline" means in practice, not just in theory
Operating style
- You bias toward action. You don't wait for a playbook to be handed to you: you build it
- You're comfortable with ambiguity and early-stage scale. This is not a role with a fully defined motion; you'll shape a significant part of it
- You communicate clearly and directly, to your team and to leadership
- You're present in the market. You attend the right events, know the right people and build relationships that translate into pipeline and retention
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an early member of our Finance Analytics and Business Intelligence team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by establishing robust analytics engineering and business intelligence capabilities for our Finance & Accounting organization. In this unique company, technology, and moment in history, your work will be critical to ensuring accurate financial reporting, streamlining accounting processes, and supporting our financial operations as we deploy safe, frontier AI at scale to the world.
As a founding Data Scientist on Anthropic's Finance Forecasting team, you'll own revenue forecasting models that drive capacity planning and board reporting, build the backtesting and accuracy discipline that makes those forecasts trustworthy, and lead causal measurement work that tells us how much a given launch or event actually moved revenue — turning what is currently a best-guess conversation into a designed, repeatable readout.
We're hiring for two seats on this team, and we expect candidates to lead with depth in either production time-series forecasting or causal inference. Both shapes are first-class; tell us in your application which one feels more like you.
This is a build role on a small team. The forecast is visible inside the company, and when it's wrong, people notice. We're looking for someone who would rather have their models scored than stay vague, and who is excited to set the bar for how forecasting is done here.
Key responsibilities
Own a core piece of the team's modeling work — either the production revenue forecasts themselves (scoping, development, backtesting, deployment, monitoring) or the causal measurement program for launches and events
Build and run backtesting and accuracy tracking for your models, and use the results to improve quality cycle over cycle
Contribute to the team's broader research direction, including event-aware forecast architectures, hierarchical reconciliation, and causal designs that hold up under launch-driven step-changes
Translate model output and accuracy results into clear recommendations for Finance and executive leadership
Partner with the team's Analytics Engineer on feature pipelines, model deployment, and the forecast store
Minimum qualifications
Have substantial experience in data science, forecasting, or quantitative finance, including time owning models in production rather than only in notebooks
Are deeply fluent in Python and SQL and comfortable productionizing what you build
Have a strong applied statistics foundation, with depth in either production time-series methods (Prophet, ETS, ARIMA, gradient-boosted approaches, neural forecasting, hierarchical reconciliation) or causal inference (difference-in-differences, synthetic control, Bayesian structural time series, event studies)
Have built backtesting and accuracy-tracking discipline before and are comfortable having your models scored publicly
Have presented and defended a forecast or causal estimate to executives
Have a bias for action and do your best work in ambiguous, early-stage environments
Preferred qualifications
Experience with exogenous-regressor or event-aware forecasting approaches
Familiarity with hybrid or foundation-model forecasting (TimeGPT-class systems)
Background in pricing and elasticity modeling or marketing-mix modeling
Experience forecasting a consumption-based or usage-billed business (cloud, API, marketplace)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$345,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Senior Sensor Intelligence Engineer to help develop, validate, and scale the sensor algorithms and tools that transform noisy physiological signals into meaningful member insights. As part of a cross-functional team spanning Sensor Intelligence, Hardware, ML Research, WHOOP Labs, Firmware, Apparel & Accessories, and other engineering disciplines, you will develop robust algorithm verification and validation methodologies, evaluate sensor and algorithm performance against appropriate reference data, build diagnostic and analysis tools, characterize failure modes, and help determine algorithm readiness for real-world deployment across our diverse member population.
RESPONSIBILITIES:
- Develop end-to-end verification and validation methodologies for sensor algorithms and biosensor systems, including test design, reference-data comparison, performance metrics, acceptance criteria, and readiness assessment across large-scale datasets
- Partner with Data Science, WHOOP Labs, Research, Firmware, and other engineering teams to design representative data collections, evaluate algorithm performance against reference measurements, characterize failure modes, and determine readiness for real-world deployment
- Apply signal processing, statistical analysis, and machine learning techniques to physiological time-series data to identify performance opportunities, investigate algorithm failures, and improve sensor-derived insights
- Build and maintain scalable workflows, dashboards, and diagnostic tools for algorithm validation, regression testing, performance monitoring, data quality assessment, and sensor behavior across diverse populations and use cases
- Contribute to software development, debugging, testing, and validation processes, ensuring analytical tools, algorithms, and results meet production-quality standards
- Communicate findings through clear technical documentation, reports, and visualizations that enable cross-functional teams to make informed product and engineering decisions
QUALIFICATIONS:
- Bachelor’s or Master’s degree in electrical engineering, biomedical engineering, applied mathematics, statistics, computer science, or a related quantitative field, or equivalent practical experience
- 5+ years of industry or research experience working with signal processing, machine learning, statistical analysis, algorithm validation, or related quantitative methods
- Experience analyzing time-series data and applying core signal processing techniques such as filtering, spectral analysis, peak detection, and windowing
- Demonstrated experience independently designing and driving validations studies, including one or more of test methodology development, reference-data comparison, performance evaluation, acceptance-criteria definition, or failure-mode investigation.
- Proven track record of investigating intricate or ill-defined technical challenges, pinpointing root causes, and delivering solutions across algorithm, sensor, data, and system domains
- Proficiency in Python and/or C, with experience developing reliable tools or software for data processing, analysis, or algorithm validation
- Strong foundation in statistical inference and experimental analysis, including the ability to select appropriate methods, interpret results, and communicate analytical trade-offs
- Experience working with large datasets and modern engineering or data infrastructure such as Git, CI/CD systems, cloud platforms, or data warehouses
- Strong written and verbal communication skills, with the ability to translate complex technical findings into concise documentation, visualizations, and actionable recommendations
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Developers increasingly pick their tools through AI assistants and coding agents. When someone asks ChatGPT, Claude, or a coding agent where to deploy their app, we want Render to be the answer. That depends on content that exists, is accurate, and stays current.
As Render’s Senior Content Engineer, you’ll own the strategy and the system behind that content. You’ll find the gaps in our content catalog based on how Render shows up in LLM and answer-engine results, decide which gaps matter most, and build and run the content factory that fills them. The role sits close to DX Engineering and is fully focused on content. You’ll work directly with the Head of Developer Experience, the DX team, Render’s docs owners, and external content partners.
The primary audience for this content is coding agents and LLMs. You’ll ship focused, technically grounded pieces that help them answer developer questions and cite Render: use-case articles, stack-specific guides, comparisons, and docs. The field is still taking shape, so you’ll test what works and help write the playbook.
This is a remote role within the US, with the option to work out of our headquarters in San Francisco.
WHAT YOU'LL DO
- Own Render’s content gap analysis. Use AEO benchmarks, citation tracking, and AI agent traffic data to find where Render is missing, wrong, or out-cited in LLM answers, and turn noisy signals into clear priorities.
- Turn that analysis into a prioritized backlog across articles, guides, and docs, with clear reasoning for what ships first.
- Build and improve Render’s content factory: the AI-assisted pipelines, built on Render Workflows, that research, draft, fact-check, and assist us in publishing technical content. Test changes with evals and keep the system reliable as output grows.
- Own the review loop. Make expert review faster and cheaper, track factual accuracy, and keep the quality bar high at higher volume.
- Run the refresh cycle for existing content so pages stay accurate as the product changes.
- Manage day-to-day work with external content partners: briefs, feedback, quality, and output.
- Partner with docs owners to expand docs coverage where it drives citations.
- Define and report the metrics that show whether content moves Render’s visibility and signups. Volume published is one input among several.
WHAT SUCCESS LOOKS LIKE
- The content factory is reliable, well maintained, and keeps up as our content needs grow.
- Render shows up more often in agent and LLM answers for the topics the content plan targets.
- Content stays technically accurate, and expert review takes less time per piece as output grows.
- The content plan responds to gaps in our catalog and to what we learn about Render’s visibility in agent and LLM answers.
- We have a plan and a workflow to keep the catalog up to date as the product changes.
WHAT WE'RE LOOKING FOR
- 5+ years in technical content, developer education, content engineering, or software engineering with a strong content focus, ideally at a developer tools or infrastructure company.
- A working understanding of AEO or generative engine optimization (GEO) and how answer engines choose sources. The field is new, so we care about what you’ve built and measured, and how fast you learn.
- Strong working knowledge of AI agents. You use coding agents like Claude Code, Codex, or Cursor every day, and you know agent workloads (long-running tasks, tool calls, sandboxed code execution) well enough to judge whether content about them is correct.
- A builder’s approach to AI. You’ve built content systems in code (scripts, pipelines, LLM and agent workflows) and use evals to understand what a change affects. Comfortable with Python or TypeScript, Git, and APIs.
- Strong technical judgment. You can read a docs page or code sample and tell whether it’s correct.
- Sharp editorial taste. You catch weak structure, generic AI-generated prose, and factual errors fast.
- Comfort owning a system end to end and holding external partners to a quality bar.
NICE-TO-HAVES
- Experience running SEO or programmatic content at scale, especially for developer audiences.
- Experience with LLM benchmarking or answer-engine measurement.
- Experience building agents or MCP servers.
- Familiarity with cloud hosting, deployment, or infrastructure products.
- You’ve used Render before, professionally or on side projects.
PROJECTS YOU MIGHT WORK ON
- Sizing the long tail of developer questions where Render should be cited and isn’t, then building the plan to cover it.
- Adding an automated fact-check stage to the content pipeline that verifies claims against live Render docs.
- Building a refresh system that flags stale content when the product changes.
- Running a recurring survey of LLM answers to measure where Render appears and who gets cited instead.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
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Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re looking for a high-performing strategic finance professional to join our growing Product Finance team as the finance owner for Baseten's distribution and labs partnerships. You'll evaluate commercials, design deal structures, and make sure the rates we agree to fit our economics and that the value we get from each partnership ties back to our product strategy and compute needs. You'll partner directly with Partnerships, Product, Infrastructure, GTM, and Legal leadership. This is a builder role: much of what you'll own doesn't exist yet as a model, a dashboard or a process.
This role is ideal for someone with 7 to 10 years of experience across strategic finance, corporate development, investing, and/or investment banking who wants broad exposure to company-building inside a fast-scaling AI infrastructure company.
RESPONSIBILITIES
- Build deal models for distribution and labs partnerships across pricing, revenue share, commitments, and cost-to-serve
- Evaluate partner proposals and counters and recommend structures that protect margin while getting deals done
- Own commercial frameworks for partnerships, including revenue share tiers, capacity pricing and partner rate cards
- Quantify each partnership's strategic value such as customer reach and model access, alongside its direct economics
- Tie partner commitments and forecasts to Baseten's capacity and GPU supply plan
- Track partnership performance after signing
- Own the partnerships forecast and its contribution to the annual plan
- Partner with Product and Partnerships leadership on which partners to prioritize and how partnerships inform the roadmap
REQUIREMENTS
- 7+ years of experience in strategic finance at a high-growth company, corporate development, PE/VC investing, and/or investment banking
- Deep understanding of product unit economics and excellent financial modeling skills, including building deal models from raw usage and cost data
- Experience structuring commercial agreements and anticipating their downstream impacts such as pricing precedent, channel conflict, capacity commitments and margin
- Ability to synthesize complex information into clear recommendations for executives and hold a point of view in deal discussions
- Comfortable building from scratch and making decisions with incomplete data
- Strong attention to detail with a bias toward ownership and execution
- Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus
NICE TO HAVE
- Experience with GPU compute economics or cloud infrastructure
- Familiarity with cloud marketplaces, AI gateways, or the commercial landscape for AI model labs
- Experience at a usage-based company
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Poland; Spain
Workplace: remote
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
About the Role
Finom is growing fast, and our Transaction Monitoring team is growing with it. We're looking for an experienced AML analyst to join us and help protect Finom and our customers from financial crime.
In this role, you'll review transaction monitoring alerts, work out why an alert triggered on an account, and investigate potentially suspicious activity. You'll then decide whether the behaviour is genuinely suspicious and whether it warrants a SAR filing or offboarding the customer. Your judgement is the heart of the job.
This is an investigations role, not a box-ticking one. After a structured ramp-up period, you'll make most decisions on your own and manage your own workload. Alongside your core queue work, you'll have chances to contribute to projects that improve how the team works, from process improvements to automation and AI-enabled workflows.
You'll join a team that is at the cutting edge of AML operations technology. Over time, you can take on broader responsibilities and move into more senior roles. Finom is constantly evolving, and people who do well here find that opportunities come quickly.
What You Will Be Doing
Review and investigate transaction monitoring alerts, understanding what triggered each one and what the account activity tells you
Assess whether the behaviour is suspicious and decide on the right outcome, including SAR filing and/or customer offboarding
Escalate cases to Second Line of Defence (2LOD) during your ramp-up period, and then make more independent decisions as your experience with our processes grows
Manage your own productivity and meet your quality and productivity targets, taking initiative to keep the queue moving
Contribute to team and department projects as your experience grows, including process improvements, automation and AI initiatives
Over time, take on additional responsibilities, such as reviewing alerts on accounts flagged by Sales or Account Management and handling JIRA escalations from other teams
Work with colleagues across product, legal and compliance, and help make sure our approach balances regulatory compliance with a good customer experience
What your first months look like:
The first two weeks cover Finom onboarding and Transaction Monitoring training. We expect you to be fully meeting your productivity and QA targets by around three months.
What you bring
You have at least two years of experience as an AML or fraud analyst in an anti-financial crime operations team
You have a solid grasp of AML typologies and concepts that goes beyond "how we did it at my last company". You understand the bigger picture of financial crime and why controls exist
You've worked in a fast-paced, high-volume operations environment and you thrive in it
You can take ownership: you manage your own workload, make sound decisions with the information you have, and keep going without needing constant direction
You're comfortable with change. Our processes and priorities evolve as we grow, and you see that as an opportunity
You communicate clearly in writing, and can explain your reasoning for a decision so that others can follow and review it
Nice to Have
Experience using AI in your personal or professional life, especially if you've built it into your own workflows. We're keen to hear how you've used it
Experience coordinating with other teams, such as product, legal and compliance
Experience in a fintech, payments, crypto or similar fast-moving financial services environment
Why Join Finom
Real room to grow.
Strong performers can move into different or more senior roles after their first year, and your scope grows with your skills
Technology that matters.
You'll work at the cutting edge of AML operations, including automation and AI, and you'll have the chance to shape how it's used
A balanced approach to risk.
We take compliance seriously, and we also care about our customers' experience, so you'll make decisions that weigh both. If you want to see the impact of your judgement, you'll like it here
A team that values initiative.
We trust people to own their work, and we reward those who do
We welcome applications from people of all backgrounds, and we encourage you to apply even if you don't tick every box.
The Interview Process
30 min Screening Call with our Recruiter
45-minute interview with one of our Team Leads
Case Study + 1 hour Panel Interview with the Team
20 min Final Interview with our Team Manager
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Germany; Spain; Romania; Serbia; Warsaw
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
About The Role
About the role
We are looking for a
Senior Data Analyst, Lifecycle
to own measurement and experimentation for how new customers activate and existing ones stay.The metrics are yours whatever the lever: CRM campaigns, promos and incentives, onboarding changes in the product, and a next best action layer that decides what each customer should see next. You decide what we test, how we test it and what we do with the answer. You also bring your own hypotheses on where the next win is.
What You'll Do
What you'll do
Join activation and retention initiatives before anything is built, whether they come from CRM, growth or product. Define the primary metric, check against historical data whether the effect is detectable at our volumes, and turn solution-shaped requests into problem-shaped ones.
Design and analyse experiments end to end: hypothesis, guardrails, audience split, MDE and power, stopping rule, and a readout that ends in ship, iterate or kill.
Correct for channel and engagement bias (not everyone opens email, and open and click populations are self-selected). When a clean A/B is impossible, use causal inference: diff-in-diff, matching, synthetic control or geo designs.
Bring hypotheses of your own. Launch a few new experiments across onboarding and the customer lifecycle, and turn one-off wins into recurring segmented flows.
Build deliberately simple models: segmentation, propensity, churn and dormancy scoring. They feed audiences, personalisation and incentive targeting. Over time these come together into next best action: for a given customer, which offer, feature nudge or message to send next, through which channel, and whether to send anything at all. You own the logic and the measurement of whether it beats the current rules.
Automate your own recurring work: audience refresh jobs, readout templates, dashboards for Activation, Onboarding and Retention. Ship models the Databricks way (scheduled jobs write tables, tables map into downstream tools such as Braze) and bring engagement data back into the warehouse to close the loop.
What You Bring
What you bring
Strong SQL and Python, and a Git-based warehouse workflow with code review.
Experiment design, statistics and metric design you can defend.
BI experience, Power BI/Tableau or similar.
Stakeholder management and business sense: you can push back, reframe a request and land a recommendation with a non-technical audience.
Curiosity and ownership. You run your area without waiting to be asked.
Nice To Have
Nice to have
Causal inference methods and a clear sense of when each one is valid.
Clustering and segmentation that ends up in use, not in a slide.
Predictive modelling with honest validation. Uplift modelling is a plus.
Braze or a comparable CRM platform: audiences, canvases, native split testing, channel mechanics and their biases.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Location: Cyprus; Spain
Workplace: remote
About Finom
Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.
We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.
Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.
At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.
Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business.
About The Role
About the role
We are looking for a
Senior Data Analyst, Lifecycle
to own measurement and experimentation for how new customers activate and existing ones stay.The metrics are yours whatever the lever: CRM campaigns, promos and incentives, onboarding changes in the product, and a next best action layer that decides what each customer should see next. You decide what we test, how we test it and what we do with the answer. You also bring your own hypotheses on where the next win is.
What You'll Do
What you'll do
Join activation and retention initiatives before anything is built, whether they come from CRM, growth or product. Define the primary metric, check against historical data whether the effect is detectable at our volumes, and turn solution-shaped requests into problem-shaped ones.
Design and analyse experiments end to end: hypothesis, guardrails, audience split, MDE and power, stopping rule, and a readout that ends in ship, iterate or kill.
Correct for channel and engagement bias (not everyone opens email, and open and click populations are self-selected). When a clean A/B is impossible, use causal inference: diff-in-diff, matching, synthetic control or geo designs.
Bring hypotheses of your own. Launch a few new experiments across onboarding and the customer lifecycle, and turn one-off wins into recurring segmented flows.
Build deliberately simple models: segmentation, propensity, churn and dormancy scoring. They feed audiences, personalisation and incentive targeting. Over time these come together into next best action: for a given customer, which offer, feature nudge or message to send next, through which channel, and whether to send anything at all. You own the logic and the measurement of whether it beats the current rules.
Automate your own recurring work: audience refresh jobs, readout templates, dashboards for Activation, Onboarding and Retention. Ship models the Databricks way (scheduled jobs write tables, tables map into downstream tools such as Braze) and bring engagement data back into the warehouse to close the loop.
What You Bring
What you bring
Strong SQL and Python, and a Git-based warehouse workflow with code review.
Experiment design, statistics and metric design you can defend.
BI experience, Power BI/Tableau or similar.
Stakeholder management and business sense: you can push back, reframe a request and land a recommendation with a non-technical audience.
Curiosity and ownership. You run your area without waiting to be asked.
Nice To Have
Nice to have
Causal inference methods and a clear sense of when each one is valid.
Clustering and segmentation that ends up in use, not in a slide.
Predictive modelling with honest validation. Uplift modelling is a plus.
Braze or a comparable CRM platform: audiences, canvases, native split testing, channel mechanics and their biases.
What You Will Get In Return
Make a genuine impact on the product
Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.
Work in the EU
Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.
Become a stock options holder
Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.
Receive unwavering support and care
Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.
Work & Swim program
Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.
Equal Opportunity Statement
At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.
Paris; London; Exceptional candidates from other backgrounds welcome; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote: United States; San Francisco HQ; SF or Remote (US/Canada); Remote: Canada
ГибридSan Francisco Bay Area, CA
УдалённоСША; This role is open to candidates based within U.S; You can work from anywhere within those time zones
УдалённоseniorГеография найма не уточнена
УдалённоRemote: United States
ОфисLondon; Experience managing teams across multiple countries and time zones, with the cultural intelligence to operate across EMEA
San Francisco, CA; Have substantial experience in data science, forecasting, or quantitative finance, including time owning models in production rather than only in notebooks
