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We are looking for a Senior Fullstack Developer skilled in React.js and Node.js for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products. What we are looking for: — 5+ years experience as a Fullstack Developer. — Backend experience with Node.js and Microservices architecture. — Database experience with SQL and MongoDB. — Intermediate-advanced English. Nice-to-have: — Located in CET timezone (+/- 3 hours). — Database Architecture knowledge. Responsibilities: — Ability to build libraries and frameworks of reusable efficient code. — Competence in designing and implementing low-latency, stable and performing applications. — Capacity to effectively collaborate with other team members and stakeholders remotely. — Ability to implement data protection systems. — Competence in data storage solutions. What we offer: — On-time monthly payments with flexible withdrawal options. — Consistent 8-hour working days with clients. — Up to 24 flex days off per year without losing pay for full-time positions. — Exclusive long-term remote positions at cutting-edge companies. — Personally matched positions avoiding typical recruitment roadblocks. — One-time contracting process for multiple opportunities. — Consistent monthly compensation for positions landed through Proxify.

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Location: Europe (+/- 3 hours) Workplace: Remote 👋 A LITTLE ABOUT US We’re building the best platform for authoring, publishing, and maintaining world-class docs. Close to 40,000 sign-ups per month, over 100k Monthly Active Users, used by 2M+ people and thousands of teams like Zoom, FedEx, Nvidia, Snyk, and Google. We’re profitable, backed by P9 Capital, Notion Capital, and Fly VC, and our amazing team is spread across 15 countries in North America, Europe, and Asia. Our enterprise motion is growing, and the way we reach those buyers is changing. Docs are bought by engineering leaders, platform teams, and developer experience owners, people who don't answer cold emails but do show up at conferences, dinners, hackathons, and community meetups. Field marketing is how we get in front of them. Today our event activity is opportunistic: a booth here, a sponsored dinner there, a webinar when someone has time. There's no tiering model, no consistent follow-up motion, and no reliable way to say which events created the (right) pipeline. This role owns all of it. This is a new function at GitBook. You'd be the first person to own it. WHAT YOU'LL DO - Own the global event calendar: Decide which industry tradeshows and conferences we show up at, at what level, and why and then run them end to end: sponsorship negotiation, booth, staffing, messaging, budget, and on-site execution. - Build activation around the big moments: The booth is rarely where the deals happen. You'll design the side-events that surround a conference such as curated dinners, executive roundtables, breakfast briefings, happy hours, and build the guest lists around accounts we actually want in the room. - Create GitBook's own events: Design and run owned formats that people want to attend because of what they are, not because we sponsored them. Roadshows, customer summits, docs-focused meetups, launch moments. You'll define the format, the content arc, and the experience. - Experiment with community activation: Work with our DevRel colleagues on hackathons, docs sprints, and community events. Some will work and some won't; you'll run them as experiments with a clear read on what happened. - Own online events: Webinars, virtual roundtables, and livestreams, you’ll be either running them yourself or coordinating the team members who do. - Build the tiering model: Define what a Tier 1, 2, and 3 event looks like at GitBook: spend bands, staffing, pre- and post-event motion, and the bar an event has to clear to earn each tier. - Report on pipeline, not attendance: Build the measurement model for events: cost per opportunity, event-sourced and event-influenced pipeline, target-account attendance, and conversion through to closed won. - Make the sales follow-up motion work: Build a lightweight SLA for pre-event target lists with AEs, brief the team on what to do at the event, and build the follow-up structure that turns a badge scan into a conversation. - Act as ABM sparring partner: Our enterprise motion runs on account-based plays. You'll be the person Sales and Marketing think out loud with on account selection, buying-committee mapping, and how field programs plug into 1:1 and 1:few plays HOW WE'LL MEASURE SUCCESS In your first 90 days: a tiered event calendar for the next four quarters, a working measurement model in our CRM, and a follow-up motion Sales has actually agreed to. After that: event-sourced and event-influenced pipeline, cost per opportunity by tier, target-account penetration at Tier 1 events, and speed of follow-up. WHAT WE'RE LOOKING FOR - 7–10 years in B2B SaaS marketing: you need to have a meaningful stretch of that in field marketing, event marketing, or integrated demand generation. You've run international programs, including and especially in the USA. - A ROI mindset: You talk in opportunities and cost per opportunity, not impressions and badge scans. You've defended an event budget with numbers and you've killed events that didn't earn their place. - Real operational range: You can negotiate a sponsorship contract, argue about booth carpet, write a good invite email, and build a Hubspot dashboard or report (or know who to ask to build it for you). - Sales credibility: AEs will trust you or route around you. You can walk into a pipeline review, take a hard question about last quarter's spend, and answer it without getting defensive. - Taste: Most B2B events are forgettable. We'd rather run fewer things that people remember. You should have opinions about what makes an event worth attending. - Comfort with a technical audience: Our buyers are engineers and the people who lead them. You don't need to write code, but you need to know why developer-audience marketing fails when it's too polished. - Ownership mindset: There's no playbook here. You'll write it: defining process, flagging problems early, and not waiting to be told what to build next. Also, you might be coming from a field marketing role at a SaaS company that got heavier on events, an event marketing role where you started owning the pipeline number, a demand gen role with a large in-person component, or a community or DevRel role that grew a commercial edge. We care less about the label than about what you can actually do. Some travel is expected, roughly a week or two a quarter, with a potential for a week a month in the conference season peak. WHAT THIS ROLE IS NOT This isn't a role where you'll manage a team from day one, and it isn't purely strategic. You'll be on the floor at the show and in the spreadsheet the week after. It's also not brand marketing or product marketing. You'll draw on both, and you'll partner closely with them, but you're accountable for the pipeline. If you do this well, the function grows in scope, budget, and eventually headcount. But we're hiring for someone who wants to build it from scratch, not for the version of this role that exists in two years. 👥 Join GitBook at a pivotal time as we evolve our product and team. This is a chance to shape our product, craft, and culture https://www.gitbook.com/about#open-roles.

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Задачи: • Формировать AI-стратегию и roadmap бизнес-направления. • Находить наиболее перспективные точки применения AI. • Самостоятельно запускать первые прототипы и AI-пилоты. • Быстро проверять гипотезы и показывать первые измеримые результаты. • Создавать AI-агентов, RAG-решения и AI-автоматизации. • Формировать и приоритизировать портфель AI-инициатив. • Совместно с FDE и AI-командой доводить успешные пилоты до production и масштабирования. • Переосмысливать бизнес-процессы с учетом возможностей AI. • Работать с руководителями бизнес-направлений и защищать AI-инициативы. • Следить за развитием AI-технологий и применять новые подходы в реальных бизнес-кейсах. Требования: • 7+ лет профессионального опыта в технологиях, AI/ML, разработке продуктов или digital transformation. • Практический опыт запуска AI/ML или технологических продуктов. • Сильное понимание LLM, Generative AI, AI Agents и RAG. • Способность самостоятельно собрать работающий AI-прототип. • Product mindset и ориентация на быстрый результат. • Стратегическое мышление и способность формировать AI-roadmap. • Умение связывать технологии с конкретным бизнес-эффектом. • Опыт работы с руководителями и топ-менеджментом. • Высокая самостоятельность и ответственность за результат. AI-инструменты и технические навыки: • Практический опыт работы с OpenAI, Claude, Gemini, Llama, Qwen или аналогичными LLM. • Работа с LLM API, Prompt Engineering, Tool/Function Calling. • Создание AI-агентов с использованием LangChain, LangGraph, LlamaIndex или аналогов. • Практическое понимание RAG, embeddings, vector databases. • Использование AI coding-инструментов: Codex, Cursor, Claude Code или аналогов. • Python, REST API, SQL — на уровне, достаточном для самостоятельного создания прототипов. • Опыт работы с n8n, Make или другими инструментами автоматизации. • Понимание принципов работы и ограничений LLM, стоимости моделей и вопросов безопасности корпоративных данных. Кого мы ищем: • Не классического бизнес-аналитика или координатора. • Нужен человек, который способен: понять бизнес → увидеть возможность применения AI → самостоятельно собрать первый пилот → показать результат → сформировать roadmap → масштабировать решение вместе с командой. Главный результат: • Быстрые первые победы и последующая системная AI-трансформация бизнес-направления.

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About the Role: We are seeking a highly motivated and licensed Property & Casualty (P&C) Insurance Broker to join our team as part of a critical pilot to launch a P&C broker model at Gusto. You will be essential in evolving Gusto's business insurance channel by acting as a licensed agent to quote and issue business insurance policies with our NEXT Insurance carrier partner. You will use your expertise to provide direct support and an improved experience for small business customers with complex insurance needs, helping to capture meaningfully higher revenue and accelerating the development of our AI Insurance Advisor. About the Team: This team is crucial to solving customer experience gaps and optimizing our offline insurance channels. You will be a SME who is part of the "human-in-the-loop" workflows required to train and optimize Gus as an AI insurance advisor. Our collective vision is to be an expert advisor that supports small businesses through every stage of growth, with this pilot being key to establishing our digital insurance agency and licensed agent integration. Here’s what you’ll do day-to-day: — Make outbound dials to prospective and existing small business clients to assess their complex P&C insurance needs and recommend suitable coverage options. — Quote and issue Property & Casualty policies, primarily with the NEXT Insurance carrier, in our offline sales channel. — Achieve required daily, weekly, and monthly sales activity expectations. — Provide human-in-the-loop support to optimize the AI Insurance Advisor, Gus, and assist customers with more complex needs. — Maintain client relationships, manage policy renewals, and facilitate changes or endorsements to existing policies. — Act as a trusted liaison between clients and carriers, including assisting clients with reports of losses and claims settlement when necessary. — Actively work to cross-sell and up-sell additional P&C lines of coverage and strive to achieve monthly production goals for units and/or revenue. — Maintain accurate and up-to-date client records and policy documentation within CRM systems (SFDC workflow). — Use AI-powered workflows as a core part of how you sell: running assigned tools daily, surfacing friction and inefficiencies as you find them, and collaborating with your team to influence what gets built or improved next. — Stay current on industry trends, products, regulations, and underwriting guidelines to provide accurate advice and ensure compliance. Here’s what we're looking for: Experience in the field: — Proven experience in insurance sales or brokerage, with coverage level knowledge of commercial P&C products (e.g., Workers' Compensation, BOP, Commercial Auto, E&O). — 4+ years Licensing: — An active Property & Casualty insurance producer’s license Communication & Interpersonal Skills: — Excellent verbal and written communication, active listening, and strong interpersonal skills to build rapport and explain complex concepts clearly. Sales & Negotiation: — Strong sales and negotiation abilities with a proven ability to meet sales targets. Technical Proficiency: — Working knowledge of carrier quoting systems, proficiency in insurance software, and familiarity with CRM systems like Salesforce (SFDC). — Comfortable using AI tools and automation to enhance productivity, decision-making, and problem-solving. Mindset: — A demonstrated passion for delivering an incredible customer experience and genuine empathy for small business owners. Attributes: — Highly self-motivated, goal-oriented, and an entrepreneurial ownership mentality to thrive in a fast-paced, high-energy environment. AI Fluency: — Proven, day-to-day experience integrating AI into how you work - across writing, research, prep, and summarization as a core part of your workflow, with a track record of giving clear, useful feedback that helps improve your tools and processes. Compensation: — Cash compensation amount for this role is $109,390 to $134,000 OTE for Denver, Atlanta, Chicago & Las Vegas. — $102,855 to $126,000 OTE for Phoenix. — Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Work Format: — Gusto has physical office spaces in Denver, San Francisco, and New York City. — Employees based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). — The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. — When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. Equal Opportunity: — Gusto is an equal opportunity employer and does not discriminate based on legally protected characteristics. — Committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in the job application process. Security & Privacy: — Gusto takes security and protection of personal information seriously.

Algolia is a market leader in AI Search, serving over 18,000 businesses and processing over 30 billion search requests weekly. The company raised $150 million in Series D funding in 2021, reaching a valuation of $2.25 billion. The Customer Success Engineer role involves ensuring customers successfully adopt, implement, and scale Algolia's search and discovery platform. Responsibilities include delivering technical onboarding, solution design, best-practice guidance, and hands-on implementation support. The role requires partnering with customers to design scalable solutions, supporting Professional and Expert Foundation offerings, acting as a Technical Owner for assigned accounts, and ensuring smooth delivery through communication, documentation, and stakeholder alignment. Key tasks include consulting customers, delivering technical workshops, advising on search implementation and optimization, collaborating with Customer Success Managers, escalating issues as needed, partnering with Product and Engineering teams, reporting case status, identifying and resolving technical risks, and optimizing customer environments. Requirements: — 4+ years in a customer-facing technical role (CSE, SE, SA, consultant), preferably in SaaS — Functional knowledge of at least one programming language: JavaScript, Java, PHP, C#, Objective-C, Swift, Ruby, Python — Experience with REST API, database management, and web development technologies — Experience delivering technical workshops (training, knowledge transfer, implementation, code review) — Lifelong learning and growth mindset — Ability to explain complex technical concepts to broad audiences — Proficiency in communicating technical issues to technical and non-technical audiences via phone and email — Excellent time management, task prioritization, and situational urgency evaluation — Occasional travel to customer locations may be required Nice to have: — Experience implementing or optimizing search & discovery experiences — Experience designing and developing generative AI and agentic applications — Experience in high-growth SaaS environments — Familiarity with iOS & Android platforms — Experience supporting open-source projects and GitHub communities — Experience with Shopify, Magento, and Salesforce Algolia offers a flexible workplace strategy with options for fully remote or hybrid-remote work. The company values grit, trust, candor, care, and humility. Algolia is committed to diversity, inclusion, and creating a respectful workplace. Candidates are advised to apply only through the official careers page and be cautious of recruitment scams.

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Компания "Урал Логистика" приглашает AI-инженера для участия в создании собственной системы обработки документов и данных для грузовых железнодорожных перевозок и связанных услуг. Задачи: — Проектировать и разрабатывать конвейер обработки документов: загрузку, нормализацию, сегментацию, определение структуры и подготовку контекста — Извлекать структурированные данные из договоров, приложений, дополнительных соглашений, актов и других связанных документов — Работать с длинным контекстом, таблицами, пересекающимися формулировками и изменениями условий во времени — Обеспечивать атрибуцию результата к документу, странице и исходному фрагменту — Строить гибридный поиск: полнотекстовый и векторный retrieval, фильтрацию, реранкинг и сбор контекста — Развивать графовое представление документов, сущностей и связей для поисковых и аналитических сценариев — Проектировать агентные и workflow-сценарии: управление состоянием, инструментальные вызовы, повторы, fallback-механизмы и обработку отказов — Создавать эталонные наборы, метрики по полям и регрессионные тесты для оценки извлечения, поиска и генерации — чтобы при смене модели, промпта или retrieval-стратегии было видно, что улучшилось, а что деградировало — Разрабатывать Python-сервисы, API, фоновые задачи и интеграции с внутренними источниками — Участвовать в выборе моделей, постановке экспериментов, fine-tuning и оптимизации локального inference Требования: — Уверенная промышленная разработка на Python уровня middle+ и выше — Опыт с FastAPI или аналогичным фреймворком, асинхронным исполнением, очередями и фоновой обработкой — PostgreSQL и SQL на рабочем уровне — Практический опыт вывода LLM-решений в production — Понимание RAG, structured output, tool calling и многошаговых модельных сценариев — Умение измерять качество: строить эталонные наборы, выбирать метрики, классифицировать ошибки и проводить регрессионное тестирование — Опыт с Docker, Kubernetes и CI/CD — Готовность доводить вертикальную задачу от спецификации и эксперимента до эксплуатации Условия: — Полная занятость и возможность трудоустройства через российское юридическое лицо в штат или через согласованную аутстафф-модель — Основной формат — офис или гибрид — Для самостоятельных специалистов возможна распределённая работа из России Итоговый грейд и масштаб ответственности определяются по результатам собеседования.

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Location: Hybrid - London, Berlin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Head of Solutions Architecture, EMEA to join our global Field Engineering organization. You will build and lead the technical sales organization behind our customer relationships across Europe, a region where some of the most ambitious web and AI products are being built on Vercel, Next.js, and our AI stack. The architecture decisions our Solutions Architects shape early, in the first review and the first migration plan, often determine how far a customer scales with us. You will lead the Solutions Architecture organization across EMEA, a team of Solutions Architects and the managers who lead them. You will set the bar for technical excellence across the deal cycle, coach the team through strategic accounts and critical deals, and step in yourself when it matters most: architecture reviews, migration plans, and high-stakes executive presentations. You will shape how Vercel wins in the region, turning patterns from the field into repeatable plays, adapting our motion to the realities of selling across European markets, and carrying what customers tell you back to our product and engineering teams so it shows up in the platform. You will drive org planning, staffing, budgeting, and recruiting as you scale the team the region needs, partner closely with EMEA Sales leadership to win new business and expand existing accounts, and report directly to our Global VP of Field Engineering. This is a hybrid position based in our London or Berlin office, with three days per week onsite. What you'll do Lead, develop, and manage our team of pre- and post-sales Solutions Architects across EMEA. Provide hands-on support for key accounts as needed (presentations, architecture reviews, migration plans). Oversee and coach Solutions Architects on strategic accounts and other engagements across segments. Partner with our engineering org to provide product feedback from the field. Develop repeatable plays from trends you are seeing across your team. Track and report SA performance to Sales and Field Engineering leadership quarterly. Own org planning, staffing, budgeting, and regional recruiting. What you need 10+ years of experience in Solutions Architect, Sales Engineering, or Technical Pre-sales roles, with at least 5 years in a leadership position. Strong background in modern web technologies (JavaScript, React, Next.js, Node.js, APIs, cloud infrastructure). Proven ability to lead, coach, and scale technical teams in a high-growth environment. Demonstrated success working with enterprise and commercial customers across diverse industries. Strong understanding of modern software development workflows (CI/CD, DevOps, frontend frameworks, etc.). Experience collaborating with Sales, Product, and Engineering teams to drive customer success. Bonus if you Have hands-on experience building with Vercel, Next.js, or similar frontend frameworks. Have led SA teams at a high-growth SaaS or cloud infrastructure company. Bring expertise in developer tooling, edge computing, or performance optimization. Are comfortable presenting at conferences, webinars, or large-scale customer events. Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.   WHAT YOU’LL DO - End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring - State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers - Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference - Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods - Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features   WHAT YOU NEED - B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must. - Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization - Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions - Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.) - SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse) - Practical Experience: track record of curating datasets and building/evaluating ML models - Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative - Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate   NICE TO HAVES - Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field - Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code - Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)   COMPENSATION - The monthly rate for this internship is $12,500 USD + housing stipend   RAMP BENEFITS - Apple MacBook - Catered lunches in NYC office Monday-Friday - Weekly coffee stipend BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London 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 building a founding team of Strategic Account Executives in London. Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next. This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle. This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact.   RESPONSIBILITIES - Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales. - Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle. - Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions. - Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems. - Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field. - Stay close after close: help customers expand from an initial workload into additional use cases across the organization.   REQUIREMENTS - 5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical deals. - Proven net-new experience selling complex technical products in fast-moving environments. - Strong sales fundamentals across discovery, multi-threading, champion-building, and deal momentum. - Genuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineers. - Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor. - Strong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win.. - Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to move - Scrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanes. 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).

Position Summary ExtraHop’s Solutions Architecture team focuses on outcomes and customer success rather than billable hours. As a Solutions Architect, you will play a critical role in customer success, product success, and market positioning, tackling difficult business and technology problems across various industries and technologies. Key Responsibilities: - Advanced GUI development - Advanced Trigger Script development - Intermediate external REST API script development - Intermediate understanding of networking - Intermediate understanding of application design - Analyze customer network topologies and application stacks to develop strategies for acquiring high-value data from the wire - Profile industry-specific applications across a broad range of verticals; create technical assets and written collateral to support product improvement and marketing efforts - Conduct root cause analysis of high-profile technology problems and advise customers on their resolution - Develop custom tools using Python and JavaScript-based APIs to extend the functionality of the product

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Задачи: — Разрабатывать и развивать микросервисы на Java 21 и Spring Boot. — Создавать REST API и межсервисные интеграции. — Работать с реактивным стеком: Spring WebFlux, Project Reactor и R2DBC. — Разрабатывать событийные взаимодействия через Kafka и RabbitMQ. — Работать с MySQL, Redis, ClickHouse, Elasticsearch и объектным хранилищем. — Проектировать изменения схемы данных и выпускать миграции Liquibase. — Поддерживать корректность распределённых процессов: повторную доставку, идемпотентность, retry и обработку ошибок. — Писать модульные и интеграционные тесты. — Добавлять необходимые логи, метрики и трассировку. — Участвовать в code review, релизах и разборе production-инцидентов. — Улучшать существующий код без необоснованного усложнения архитектуры. Требования: — Уверенное знание Java Core, коллекций, Stream API, concurrency и JVM на прикладном уровне. — Практический опыт Spring Boot, микросервисов и распределённых систем. — Опыт со Spring WebFlux или Project Reactor. — Уверенный SQL: транзакции, уровни изоляции, индексы и оптимизация запросов. — Опыт с R2DBC, MyBatis или аналогами, MySQL/другой реляционной СУБД. — Опыт с Kafka или RabbitMQ. — Опыт с Redis, кешированием и TTL. — Опыт миграций Liquibase или аналогичным инструментом. — Тестирование с JUnit 5 и Mockito; понимание роли интеграционных тестов. — Git, Maven, Docker, CI/CD; понимание JWT/OAuth2 и безопасной работы с данными. — Умение диагностировать проблемы по логам и метрикам и самостоятельно доводить задачи до production. — Уверенное использование AI-агентов (Codex, Claude Code или аналогов): постановка задач, контроль контекста и области изменений, проверка кода и тестов. Не требуется точное совпадение со всем стеком: важнее сильная инженерная база и способность быстро осваивать новые технологии. Будет преимуществом: — Kafka и RabbitMQ одновременно, ClickHouse, Elasticsearch, MinIO/S3, Testcontainers, OpenTelemetry, реализация собственных Spring Boot starters/SDK, опыт высоконагруженных рекламных, аналитических, платёжных или видеосервисов. Дежурства: — Недельные дежурства по будням в рабочее время: мониторинг сервисов, диагностика проблем и при необходимости выпуск исправления. В сложных случаях помогает команда. Условия: — Удалённая работа с возможностью посещения офиса для коворкинга или закреплённого рабочего места. — Оформление в штат компании или заключение международного контракта. — Гибкий график с лояльным началом дня, 8-часовой рабочий день. — Возможность выбрать привычное оборудование (mac, linux, windows, мониторы и пр.) с доставкой на дом. — Performance review с помощью в постановке целей и ежегодная индексация зарплаты. — Непрерывное обучение через внутреннюю Академию и партнёрские программы. — Митапы, конференции, хакатоны, квесты, онлайн-игры. — Корпоративные программы: фитнес-клуб, английский, мастер-классы, развлечения и отдых, льготная система по отпускам и больничным.

Задачи: — строить ML модели на основе различных данных: табличные, графовые, NLP, GEO, последовательности событий (кликстрим, транзакции и т.д.) — писать production код и выводить его в ПРОМ — улучшать процесс построения моделей, разрабатывать собственные прикладные модули командного фреймворка разработки для повышения производительности DS и улучшения качества кода в промышленной среде — выдвигать data-driven гипотезы/предложения для запуска новых механик, а также поиск инсайтов в данных. Требования: — глубокое знание классического ML — понимание основных Deep Learning подходов — продвинутое знание SQL — отличное знание Python — понимание и опыт АB-тестирования. Будет плюсом: — понимание специфики разработки ML-технологий, начиная с формулировки бизнес-проблемы, заканчивая выведением на регулярную основу в прод — опыт решения задач ранжирования или Real Time Bidding — опыт работы с Pyspark, Greenplum. Условия: — комфортный современный офис рядом с м. Кутузовская — офисный формат работы — ежегодный пересмотр зарплаты, квартальная и годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

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Задачи: — поиск подходящих ML решений для решения бизнес-задач, проведение оффлайн и онлайн (А/Б) экспериментов — разработка и улучшение ML-пайплайнов для задач RecSys: подготовка данных, обучение моделей, валидация и внедрение — анализ и работа с большими объёмами данных на PySpark — исследование и применение актуальных методик в области Data Science, Machine Learning и RecSys — взаимодействие с командой разработки и аналитики, генерация гипотез, участие в обсуждении решений и донесение результатов своей работы до команды. Требования: — опыт работы в области Data Science от 1 до 3 лет — интерес к рекомендательным системам, желание развиваться и постепенно брать на себя больше ответственности — практические навыки решения ML-задач: от подготовки данных и выбора алгоритмов до настройки гиперпараметров и оценки качества моделей — хорошая база в алгоритмах машинного обучения и интеллектуальном анализе данных; опыт применения классических ML- и/или DL-подходов будет преимуществом — хорошее знание Python и основных DS-фреймворков (PyTorch, PySpark и др.), понимание принципов написания качественного кода — способность самостоятельно разбираться в новых подходах, читать технические материалы на английском и применять их на практике Будет плюсом: — опыт реализации DS-проектов в области рекомендаций — опыт работы с ranking-задачами, feature engineering, A/B-тестами или ML-экспериментами — опыт вывода ML-решений в production или участия в развитии ML-пайплайнов. — опыт работы с высоконагруженными системами с машинным обучением и Big Data — участие в профильных курсах, соревнованиях или pet-projects в области ML/RecSys. Условия: — комфортный современный офис рядом с м. Кутузовская — возможность выбрать удобный график – офис/гибрид — ежегодный пересмотр зарплаты, годовая премия — корпоративный спортзал и зоны отдыха — более 400 образовательных программ СберУниверситета для профессионального и карьерного развития — программа адаптации и помощь руководителя на старте — расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа — гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ — подписка Прайм с возможностью совместного использования на трёх близких — вознаграждение за рекомендацию друзей в команду Сбера.

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Location: London 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 hiring a Founding Sales Leader in EMEA to build our business in the region from the ground up. We already have EMEA customers and real demand — today it’s served from the US. You’ll be our first person on the ground in London, and your job is to localize that business and turn it into a region. This is a founding-leader role, not inheriting a machine. You’ll be in deals directly while making your first hires, with a mandate to scale the EMEA team to 20+ people this year across front-line leaders and sellers. The right person for this role is a player-coach who has managed managers, sold to technical buyers, and hired quickly — and who wants to run a region before a bigger company would hand them one. If you’re energized by ambiguity, an unformed market, and building with what’s in front of you, this is one of the most consequential GTM roles at Baseten. RESPONSIBILITIES - Own EMEA: all segments, all markets, top to bottom. - Build the team. Recruit, hire, and onboard 20+ people this year, including the front-line leaders who will run it with you. - Carry the number. Build pipeline, run deals, and close business yourself while the team is coming together. - Establish our presence in the region — the London footprint, our reputation with EMEA buyers, and the local playbook for how enterprise buying works here. - Adapt the motion. Take what works in AMER and tune it to how technical buyers in EMEA actually evaluate and purchase infrastructure. - Partner closely with a US-based org across Sales, Marketing, Revenue Operations, Solutions, and Recruiting, with significant US timezone overlap. - Set the bar for execution, forecasting rigor, and speed as the region scales. REQUIREMENTS - A proven hiring track record. You’ve built teams quickly and hired leaders, not just ICs, and you can point to the people you’ve developed. - Second-line leadership experience. You’ve managed managers and owned a multi-team org. - Enterprise selling experience against a technical line of business. You can hold your own with engineering and infrastructure buyers and want to go deeper on inference. - Scrappiness. You’re comfortable being the only Baseten person in the region on day one — building pipeline, closing deals, and recruiting at the same time, without the bells and whistles. - EMEA fluency. You know the regional markets and how enterprise buying differs from the US. - Comfort in a fast-moving, high-intensity environment. Here, that means you Slack faster than you talk. - A builder’s mentality. You own problems and their solutions, and you’re at your best in high-change, unstructured environments.   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: London 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 Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship. You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written. RESPONSIBILITIES - Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals - Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations - Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement - Win lighthouse customers that become references for their entire industry - Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews - Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else REQUIREMENTS - 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling - A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles - Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product - Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government) - Excellent communication and comfort with high autonomy in a fast-moving environment NICE TO HAVE - Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms 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: London 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 hiring a Sales Manager to help build and lead our founding team of Enterprise Account Executives in London. Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. You'll help recruit the first reps, run deals alongside them while the team ramps, and contribute to the playbook for how Baseten wins European enterprises. It's a founding seat with real influence on how we build here, close to our founders and GTM leadership. RESPONSIBILITIES - Recruit, hire, and ramp the founding team of Enterprise AEs in London. This is your highest-leverage work in year one - Coach reps through long, multi-stakeholder cycles: multithreading across buying committees, navigating security and procurement, and closing seven- and eight-figure deals - Raise the bar on consultative selling. Your reps should be advising customers on AI strategy, not just running a product evaluation - Partner on shaping and executing go-to-market strategy for the region, including which verticals to attack first - Operate as a player-coach early on, carrying deals yourself while the team builds - Stay deep enough on the product to guide reps through technical evaluations, POCs, and architecture reviews alongside our forward-deployed engineers - Work with Marketing, Product, Engineering, and Legal to turn European enterprise requirements into roadmap and GTM input - Build a culture of accountability, learning, and collaboration from the first hire forward REQUIREMENTS - 6+ years of closing experience, with 2+ years managing high-performing teams - Proven success in Enterprise sales, closing complex, multi-stakeholder deals inside large organizations - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government) - A track record of recruiting strong sellers, ideally as a first or early hire in a new team or region - Strong technical acumen, ideally in AI infrastructure, cloud infrastructure, or developer platforms. You're comfortable in the weeds - Willingness to sell as well as manage while the team is small - Based in London and able to be in office at least 3 days per week (Tuesday to Thursday) 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: New York, NY (HQ); San Francisco, CA; Remote (US); Denver, CO; Miami, FL Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp builds software that moves real money, from bill payments and corporate cards to reimbursements, accounting integrations, and travel. Our customers rely on us to keep their operations running: invoices get paid, books get closed, and finance leaders can trust the data behind every decision. In this role, you will be the person who spots where customers are getting stuck and drives issues to a clear resolution. You will learn a complex product deeply enough to troubleshoot across payments, bank linking, accounting syncs, and card programs, then partner with teams across Engineering, Risk, Product, and Partnerships to get problems solved. This is not script-based support. You will triage, investigate, and make high-signal judgment calls throughout the day. You will thrive in this role if you are a systems thinker and deeply customer obsessed. Support is the baseline. How you think about improving processes, tools, and outcomes is what sets you apart.   WHAT YOU’LL DO - Be the voice of Ramp's Customer Support. You'll spend your day engaging with customers, primarily via live calls, email, and chat. - Diagnose across a broad product surface. Ramp isn't one product — it's payments, cards, travel, accounting integrations, and more. You'll need to understand how they connect and where they break. - Operate with an ownership mindset, managing escalations end-to-end. You take full accountability for every ticket you handle. When an issue crosses team boundaries — risk, engineering, product, partnerships — you route it correctly, follow up, and make sure the customer isn't left waiting. You'll work across Zendesk, internal tooling, and Slack-based escalation workflows. - Build and shape AI tools, not just use them. Ramp is building AI into CX operations. You'll use AI-powered research tools and proprietary tools like Glass daily, provide direct feedback on what's working, and play an active role in how these tools evolve. You're not just a user — you're a builder. We are all builders at Ramp. - Ship improvements, not just flag them. When you notice a process gap, a missing SOP, or a knowledge base article that's sending associates down the wrong path, you don't just raise it — you have the autonomy to roll up your sleeves and fix it. Leverage AI to solve problems, build automations, and improve the systems around you. The best people in this role make the whole team better. - Communicate with precision and empathy. Our customers are financially sophisticated. You need to explain what's happening, what you're doing about it, and what they should expect — clearly and without filler. WHAT YOU NEED - You're a systems thinker: you don't just solve the ticket in front of you, you ask why the problem exists and how to prevent it from happening again. - You actively use AI tools — Claude, Notion AI, research and workflow tools — and can demonstrate how you've applied them to get real work done. This is a hard requirement. - You're fast-moving while holding yourself to a high bar for execution: you balance speed, accuracy, and thoroughness in every interaction. - You can hold a technical conversation about how systems connect (APIs, bank integrations, accounting software) even if you're not writing code. - You manage competing priorities without dropping things. When you have 15 open issues across 4 internal teams, nothing falls through. - You write clearly and concisely. You can explain a payment reconciliation issue to a CFO without jargon. - You're comfortable on the phone. Many interactions start there. - You have a demonstrated track record of exceeding key performance standards, including CSAT, QA, and speed-of-service metrics. NICE TO HAVES - Experience building workflows or automations using AI tools, not just prompting - Familiarity with accounting workflows (AP/AR, GL, reconciliation) or ERP integrations (NetSuite, QuickBooks, Sage) - Background in payments infrastructure (ACH, wire transfers, card networks) - Track record of working somewhere that shipped product fast and expected CX to keep up WHY BE A CX ASSOCIATE AT RAMP - Cross-functional exposure from day one. You work directly with Product, Engineering, and GTM teams — not siloed into a support queue. - AI tools and unlimited access. Unlimited tokens, proprietary AI tools like Glass, and a culture that expects you to use them to move faster and build smarter. - Career growth that you own. Grow within CX, explore other functions internally, or carve out a path that doesn't exist yet. If you're invested, we're invested. - Culture that's different from a call center. Team events, in-person offsites, and a genuine commitment to building a team people want to be part of. READ MORE ABOUT HOW RAMP THINKS ABOUT AI AND CX: - How Ramp Became an AI-First Company — Geoff Charles, CPO https://x.com/geoffintech/status/2042002590758572377?s=20 - Inside Glass: How Ramp Built a Proprietary AI Platform for CX — Seb Goddijn, AI Product Manager https://x.com/sebgoddijn/status/2042285915435937816?s=20 - AI-Powered Customer Experience at Ramp — Ben Levick, Head of CX / Ramp AI https://ramp.com/leading-indicators/how-to-build-your-team-to-capitalize-on-ai WHAT TO KNOW BEFORE YOU APPLY - Schedule & Shift Bidding - Please Read Carefully: CX Associates work a set 40-hour/week schedule assigned through a schedule-bid process. Evening working hours span 6:00 PM–2:30 AM EST, and your shift will likely include a weekend day (either Sun–Thu or Tue–Sat). Associates also cover 2–3 company holidays per year on a rotating basis. Ramp's customers operate on financial deadlines that don't pause. - The product changes frequently. If you need a stable, predictable environment, this isn't it. If you like learning new things every week, it is. - This role is a launchpad for your career at one of the fastest-growing companies in fintech. For candidates located in NYC or SF, the pay range for this role is $65,000-$70,000. For candidates located in all other locations, the pay range for this role is $60,000-$65,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: London Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Customer Success is central to how we build, grow, and deliver value at Attio. As a Customer Success Manager, you'll own a portfolio of our highest-potential customers, building deep relationships and helping them get meaningful value from Attio as their businesses grow. Attio has a highly product-led customer base, and many of our most promising customers start as small, fast-growing teams. Success in this role isn't defined by customer size or current spend alone. You'll need to recognize potential early, understand where a customer's business is headed, and help them build the right foundations to scale with Attio. This is a highly consultative and hands-on role. You'll understand each customer's GTM motion, uncover what they're trying to achieve, and translate their business needs into thoughtful recommendations across their workflows, data, and use of Attio. You'll work with fast-moving customers who expect you to bring both strategic thinking and strong product expertise. WHAT YOU'LL DO - Own and develop relationships across a portfolio of high-potential customers. - Lead customers through onboarding, adoption, ongoing value realization, renewals, and expansion. - Develop a deep understanding of each customer's business, GTM motion, goals, and challenges. - Identify potential early within a product-led customer base and help customers deepen their adoption as they grow. - Advise customers on how to structure their workflows, processes, and use of Attio to support their business. - Balance strategic relationship management with hands-on solutioning, moving comfortably between business goals and product configuration. - Build relationships with stakeholders across customer organizations and become a trusted partner as their businesses evolve. - Use customer data, product insights, and business context to identify risks and opportunities across your portfolio. - Identify opportunities for deeper adoption and expansion based on customer needs and growth. - Partner with Product, Engineering, RevOps, Solutions Engineering, Support, and Sales to solve customer problems and continuously improve the customer experience. - Bring customer insights back into Attio to help shape our product and Customer Success motion. WHAT YOU'LL BRING - 5+ years of relevant professional experience, including 3+ years in Customer Success or Account Management. - Experience owning customer relationships in B2B software, ideally across SMB and mid-market customers in a product-led environment. - A consultative approach and ability to understand a customer's business before jumping to a solution. - Strong product instincts and a track record of coaching customers on how to get the most out of a complex software product. - Comfort working hands-on with customers to solve problems rather than relying heavily on separate technical or implementation teams. - Experience owning customer outcomes across adoption, retention, renewals, and expansion. - Strong commercial instincts and an ability to recognize customer potential beyond current spend or company size. - Comfort working with fast-growing companies and lean teams where priorities and needs can change quickly. - A data-driven approach to prioritizing your portfolio, identifying risk, and uncovering opportunities. - Experience working at an early- or growth-stage startup. - A proactive mindset and comfort operating with autonomy in a fast-moving environment. WHAT DOES THE HIRING PROCESS LOOK LIKE? 1. Talent Introduction 2. Hiring Manager Interview 3. Solutioning Exercise 4. Meet the Team: Three focused conversations with key stakeholders 5. Executive Leadership Conversation 6. References & Offer