Вакансии

Location: Guatemala; San Jose, Costa Rica Workplace: fully About The Role: At Paysend, we're building the future of global payments - making money movement simple, fast, and accessible for everyone. As an Application Support Analyst, you'll play a critical role in delivering on that promise by ensuring our platforms run reliably and our customers can send and receive money without interruption. The Application Support Analyst owns the health of our transaction ecosystem end to end: investigating individual transactions and broader flow anomalies, detecting issues before they escalate, supporting release deployments and post-release system verification, and driving incidents to resolution across both our B2C and Enterprise product lines. You'll work with large volumes of real-time payment data, using tools like Oracle SQL, Postman, OpenSearch, and Grafana to trace transactions, diagnose root causes, and keep critical payment services running smoothly. This role is ideal for someone who enjoys solving complex problems, thrives in a fast-paced environment, and wants to make a tangible impact on the experience of millions of customers around the world. What You'll Do (Responsibilities): Transaction Administration: Analyze, track, and manage end-to-end payment transaction flows using Oracle SQL, Postman, and OpenSearch. System & Performance Monitoring: Maintain business-critical payment services, track SLA windows, and actively monitor system health using Grafana and related tools. Incident Management & Resolution: Conduct incident response efforts, including root-cause investigations, documentation of incident reports, and coordination of cross-functional teams to resolution. Stuck & Flagged Transaction Handling: Resolve transactions flagged for manual parsing and investigate payouts or funding stuck in pending status (>3 days), updating statuses or escalating as needed. Partner & Bank Communication: Serve as a point of contact for partners and banks to resolve processing issues, file-loading discrepancies, and data reporting corrections. SAR & PDP Reconciliation: Troubleshoot SAR reconciliation issues, including unmatched transactions, missing/duplicate report data, and platform data mismatches. Releases & Deployment: Coordinate, execute, and roll back service releases, verifying post-release system health and performance graphs. What You Bring to the Team: Problem-solving mindset with the drive to investigate novel issues and determine solution steps independently Technical Troubleshooting: Practical experience using SQL for data querying, alongside Postman to read API documentation and debug partner integrations. Monitoring & Operations: Basic Linux, network, or cloud administration experience. Incident & Escalation Management: Ability to manage concurrent, time-sensitive incidents under strict SLA windows, moving from root-cause analysis to final resolution. Cross-Functional Collaboration: Experience interfacing with external entities (banks, PSPs, processors) and internal stakeholders (Engineering, Settlement, Customer Support). Programming Literacy: Basic skills in any programming language to read code, run scripts, or inspect data payloads. Communication Skills: Advanced written and verbal English skills for managing communications with internal teams and external financial partners. Nice To Have Experience working directly with OpenSearch for log and transaction analysis. Hands-on experience with team collaboration tools (Slack, Google Workspace, Jira, Confluence). Domain knowledge in financial workflows, payment lifecycles, and core fintech terminology. Bachelor's degree in Computer Science, Information Systems, or a related operational field. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

• 4+ years of relevant experience. • Knowledge of Russian and English.

Задачи: — Погрузиться в работу с крупными массивами информации — Проектировать логику аналитических выборок и отчётов — Обрабатывать транзакционные данные: продажи, чеки, заказы — собирать агрегаты и обогащать исходные данные — Писать сложные SQL-запросы — Превращать запросы бизнеса в понятные ТЗ для отчётов и витрин — Разбираться в расхождениях: находить причины, анализировать ошибки — Настраивать метрики и фильтры для BI Требования: — 4–5+ лет в роли аналитика данных — Опыт именно в Pharma — обязателен — Уверенная работа с большими данными — Продвинутый SQL и Excel, опыт с ClickHouse или другими колоночными СУБД — Умеете писать SQL самостоятельно, без генерации нейросетями — Строили отчётность на справочниках и аналитических агрегатах — Можете ставить ТЗ на разработку отчётов — Ищете оптимальное решение: по скорости, ресурсам и нагрузке на БД — Высшее образование — Гражданство РФ и фактическое нахождение в России Условия:

Location: Kyiv; Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі. Ajax Systems має виробництво повного циклу: від генерації ідей та створення прототипів до масового виробництва та продажу по всьому світу. Кожен департамент закриває певну операційну потребу бізнесу в повній мірі. Фахівці компанії залучені на всіх етапах: від виробничої лінії в Україні до логістичного центру в Польщі, звідки продукцію відправляють дистрибʼюторам по всьому світу.  Ця позиція — чудова можливість безпосередньо впливати на ефективність складської логістики в міжнародній технологічній компанії з власним виробництвом, трансформуючи реальні процеси на складі у сучасну WMS, яка робить роботу працівників швидшою, простішою та менш схильною до помилок. Обов'язки: Польовий аудит та вивчення реалій складу (Gemba Walks): Постійне спостереження за роботою вантажників, комплектувальників та комірників на складі. Виявлення зон фрустрації персоналу, вузьких місць, зайвих переміщень та неінтуїтивних дій. Опис поточної архітектури процесів As-Is (приймання, розміщення, відбір, пакування, відвантаження, інвентаризація) та фіксація системних розривів між реальним рухом вантажів і статусами в WMS. Проектування цільової моделі процесів (To-Be) та редизайн логіки WMS: Проектування нової логіки складських алгоритмів: динамічне розміщення, хвильовий/батч-пікінг, оптимізація маршрутів збирача по складу, консолідація перед відвантаженням. Формування чітких функціональних вимог (BRD/FRD), User Stories та Acceptance Criteria для команди розробки WMS. Кардинальне спрощення роботи з ТЗД (Zebra UX/UI Redesign): Переосмислення кожного сценарію на екрані сканера за принципом «захисту від помилки» (Poka-Yoke) : мінімум кліків, великі зрозумілі поля, блокування помилкових сканувань, чітка індикація. Ліквідація зайвих підтверджень і ручного вводу — перехід на виключно керований системою процес (System-Directed Warehousing: система каже, куди підійти і який саме штрихкод зісканувати). Складання містка між складом та розробкою: Переклад скарг і болів складського персоналу в точні технічні вимоги та бізнес-логіку для IT-розробників. Пріоритизація беклогу доробок разом із Директором з логістики: від критичних операцій до глибинних модулів автоматизації. Тестування, впровадження та керування змінами: Організація тестування нових релізів безпосередньо «в руках» у вантажників на майданчику до моменту викатки в бойову експлуатацію. Створення простих візуальних інструкцій. Вимірювання успіху реформи за метриками: час навчання нового працівника (Time to Onboard), швидкість відбору замовлень (Picks per Hour), відсоток помилок відбору (Error Rate). Вимоги до кандидата: Досвід та експертиза в WMS: Від 3–4 років досвіду в ролі Business Analyst, Systems Analyst або Process Lead у проектах автоматизації складської логістики (3PL, ритейл, великі RDC, виробнича логістика). Глибоке розуміння того, як влаштовані сучасні WMS-системи «під капотом» (стратегії розміщення, зональний відбір, маршрутизація, інтеграція з конвеєрами/ваговими станціями/ERP). Практика роботи з мобільними сканерами (Industrial Mobility): Реальний досвід проектування або налаштування інтерфейсів для терміналів збору даних на базі Android / Zebra (серії TC/MC) . Розуміння принципів ергономіки інтерфейсів ТЗД (UI/UX для складських працівників, робота в рукавичках, звукові/візуальні тригери, зменшення когнітивного навантаження на оператора). Аналітичний інструментарій: Бездоганне володіння BPMN 2.0 для візуалізації процесів; вміння декомпозувати складний процес до рівня атомарних операцій працівника. Вміння писати кришталево чисті User Stories, Use Cases та критерії приймання (Gherkin/Given-When-Then — як перевага). Базове розуміння SQL (для самостійної перевірки даних у таблицях WMS без смикання розробників). Мовні компетенції: Українська (Вільне володіння) Англійська (B2+): Написання технічної документації, спільна робота з міжнародними вендорами WMS чи інтеграторами. Soft Skills: «Hands-on» підхід: це не кабінетний аналітик, а фахівець, який проводить 50%+ часу перших місяців у касці та спецвзутті безпосередньо в рядах складу. Емпатія до кінцевого користувача (вантажника) та здоровий перфекціонізм у спрощенні складних речей. Пропонуємо: Роботу в комфортабельному офісі з бомбосховищем; Офіційне працевлаштування зі стабільною оплатою та всіма гарантіями Дія.City резидента; Заняття англійською; Медичне страхування; Комплект системи безпеки Ajax (участь у проєкті бета-тесту — отримання та тестування нових гаджетів до їх релізу); Різносторонні проєкти та професійне зростання; Драйвову команду; Можливість пропонувати та реалізовувати власні ідеї, які мають вплив на продукт і виробництво;

Location: Нижний Новгород Мы – команда экспертов, объединенных общей страстью к искусственному интеллекту и рекомендательным системам (RecSys). Нашей главной задачей является создание современной, масштабируемой рекомендательной платформы, способной предвосхищать ожидания пользователей, предлагая персонализированные рекомендации на каждом этапе их взаимодействия с экосистемой Сбер. Наши решения охватывают широкий спектр отраслей: от финансов и e-commerce до индустрии развлечений и здравоохранения. Развитие нашей платформы строится вокруг внедрения новейших state-of-the-art (SOTA) моделей. Мы следим за мировыми трендами, экспериментируем с новыми подходами, внедряем их как часть платформы и доводим до конкретного применения в бизнесе. Обязанности * извлекать и обрабатывать большие объемы данных (ETL-процессы) с помощью SQL, Python и Spark для анализа воронки рекомендаций * строить дашборды, автоматизированные отчеты и визуализации в BI для продуктовых и ML-команд * проводить статистический анализ (когорты, сегментация, регрессия) метрик retention, LTV, ARPU, выявляя корреляции и причинно-следственные связи * генерировать data-driven гипотезы по рекомендациям, настраивать A/B-тесты и анализировать результаты с фокусом на p-value и uplift. * оптимизировать пайплайны данных (Airflow), работать с логами и сырыми датасетами. Требования * опыт в аналитике данных от 2 лет, с уклоном в обработку Big Data * свободное владение SQL, Python (Pandas, NumPy), Spark для работы с терабайтами данных * опыт работы с A/B-тестированием, сегментацией пользовательской базы, когортным/регрессионным анализом * знание базового ML (кластеризация, feature engineering и т.д.) * опыт работы с инструментами визуализации и построении дашбордов * самостоятельность, инициативность, аналитический склад ума * умение ясно презентовать и отстаивать результаты своей работы * способность работать в быстро меняющейся среде и находить решения сложных задач. **Будет большим плюсом:** * опыт в сферах e-commerce или развлекательных стриминговых сервисов (аудио/видео) * опыт работы в области рекомендательных систем (RecSys) и/или поиска * опыт работы с Kafka и/или другими streaming-платформами для real-time анализа данных * высшее образование в области IT, математики, Data Science или смежных дисциплин * навыки работы с генеративными AI-моделями, опыт использования GigaChat, Kandinsky и аналогов в продуктах * навыки создания и использования AI-агентов инструментальное владение AI для анализа, генерации и автоматизации. **Стек технологий:** Python (Pandas/NumPy/Scikit-learn/Statsmodels), SQL, Spark/ClickHouse, Tableau/Superset/Amplitude, Airflow, Git Условия * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Задачи: — Выполнять ежедневную работу по KYC/AML (онбординг, проверка источников средств, текущая проверка) — Мониторить транзакции и проверять оповещения на предмет подозрительных признаков — Проводить скрининг санкций, PEP и негативных новостей — Расследовать и эскалировать подозрительную активность, включая принятие решений по SAR/STR — Разрабатывать и улучшать процессы контроля качества и внутреннего контроля — Взаимодействовать с отделами Compliance, Operations и руководством Требования: — Опыт работы 2+ года в KYC/AML или мониторинге транзакций, желательно в криптоиндустрии, iGaming или FX — Глубокие знания CDD, скрининга санкций/PEP и процессов SAR/STR — Аналитический, внимательный и исследовательский склад ума — Высокая ответственность, проактивность и умение работать в условиях высокого объема задач — Сильные коммуникативные навыки и стремление к обучению — Свободное владение английским языком — Высшее образование в области финансов, бухгалтерии, бизнеса или смежных областях (релевантный опыт также учитывается)

About the role You'll own the data layer for Salmon's Collections function - building the models, reports, and datasets that the team depends on to make decisions and track performance. Develop and support regular reporting and dashboards covering key Collections metrics;

That's the person we're looking for: our first and only product analyst, whose job is to challenge decisions with data and bring insights nobody asked for yet.

I'm looking for a responsible, self-driven professional to join my team at inDrive — someone who is fluent in time series and can see the big picture across the company's product metrics.

Это команда финансовой аналитики: здесь не сидят в Excel с закрытием месяца, а пишут SQL, строят дашборды и витрины и помогают бизнесу понять, где и как компания зарабатывает.

About Sezzle: Sezzle is a fintech company focused on revolutionizing the shopping experience by blending technology with interest-free installment plans to empower consumers and increase merchant sales. About the role: We are seeking a detail-oriented and proactive AML Compliance Analyst to support Sezzle’s Compliance Team. This role provides second-line oversight and day-to-day advisory support across a wide range of business activities by translating regulatory requirements into practical guidance, executing operational compliance reviews, and producing governance-ready documentation and reporting. The role ensures adherence to regulatory requirements and supports the development of internal policies, standards, and procedures, fostering a culture of integrity and accountability. What You'll Do: — Provide compliance advisory support to business partners on consumer finance and payments requirements; document guidance, decisions, and follow-ups. — Support the intake, tracking, and completion of Compliance Operations, Advisory, and Financial Crimes Compliance work using defined workflows and evidence standards. — Perform second-line oversight reviews of complaint handling for higher-risk channels and contribute to complaint trend and root-cause analysis. — Support issues management governance by maintaining issue/action logs, validating remediation plans and evidence, and monitoring aging to closure. — Participate in change management oversight by reviewing initiatives for compliance impacts, control readiness, and required approvals/escalations. — Conduct pre-use compliance reviews of marketing and customer communications; identify required disclosures and risks and document results. — Assist with product development compliance assessments for new products and material initiatives; coordinate inputs, maintain risk/control documentation, and track conditions for launch. — Support third-party compliance activities for customer-facing vendors. — Support Financial Crimes Compliance operations including transaction monitoring, alert and case review, and disposition. — Assist with sanctions/OFAC screening and watchlist management. — Support Customer Identification Program (CIP) and Customer Due Diligence/Enhanced Due Diligence (CDD/EDD) activities. — Assist in preparation, documentation, and quality review of Suspicious Activity Report (SAR) narratives and supporting evidence. — Advise business, product, and operations partners on financial crimes requirements and control expectations. — Support responses to subpoenas and regulatory information requests. — Prepare clear written memos and governance-ready summaries for leadership and partner reporting. — Assist in gathering and delivering relevant information for regulatory reviews, examinations, audits, or other supervisory events. — Support additional compliance-related initiatives and projects as assigned. Required Qualifications: — Self-motivated, adaptable, capable of working independently or collaboratively. — Solid understanding of regulatory frameworks, laws, and compliance requirements applicable to consumer financial products and services, including financial crimes requirements (BSA/AML, USA PATRIOT Act, OFAC/sanctions). — Experience in compliance operations/advisory, risk management, quality assurance, or other control/oversight activities. — Strong written communication skills. — Strong project management and organizational skills. — Analytical thinker with sound judgment and proactive mindset. — Excellent interpersonal and communication skills. — High integrity and ethical judgment. — Working knowledge or ability to quickly learn Financial Crimes Compliance operations. — Comfort working with high-volume data and structured review workflows. Education & Experience: — BS/BA degree or higher in accounting, finance, business administration, legal studies, information systems, or related field. — Minimum 3 years professional experience in consumer finance, fintech, banking, or regulated environment preferred. — Financial industry compliance certifications (e.g., CAMS) a plus. — Experience supporting complaint management, issues management, change management, marketing review, product compliance assessments, financial crimes compliance, or third-party oversight highly desirable. About You: — High standards and commitment to quality. — Innovative and not bound by convention. — Action-oriented with a focus on speed and calculated risk-taking. — Earns trust through attentive listening and respectful communication. — Willing to challenge decisions respectfully and commit once decisions are made. — Delivers results with focus and resilience. What Makes Working at Sezzle Awesome: — Culture focused on excellence and innovation.

— Собрать сквозную модель данных: игрок, источники, ID, депозиты, бонусы, GGR/NGR; — Настроить витрины и дашборды, чтобы команда не просила выгрузки вручную;

Задачи: — Проводить полный цикл А/Б-тестов внутри продукта: помогать с дизайном, выбирать метрики, оценивать результаты и формулировать решения по итогам.

Experience: at least 2 years in data analysis, preferably in the iGaming industry or online Poker. SQL: confident writing and optimising queries against large datasets.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU’LL DO - Run the monthly and quarterly commission cycle, from pulling data and calculating commissions to validating payouts, getting approvals and handing off to payroll. - Investigate rep questions, document what you find, recommend fixes, and clear issues quickly so reps trust their payouts. - Work with Salesforce and data owners to keep source data clean, map new fields and deal types, and find upstream problems before they turn into payout errors. - Reconcile and audit payouts against payroll, bookings and plan terms every cycle. - Model the cost and payout impact of proposed plan changes and set up new plans in the system. - Automate manual steps, tighten SLAs and build reporting on attainment, payout cost and comp effectiveness. WHAT YOU’LL BRING - 5+ years in sales compensation, commissions operations or a closely related finance/RevOps role. - A track record of managing commission cycles across multiple regions, currencies, and payroll schedules, from data collection through payout validation, approvals, and payroll handoff. - Strong analytical skills, including payout modeling, data reconciliation, and investigating discrepancies against compensation plan terms. - Experience using Salesforce to pull and review sales data for commission calculations. - Ability to configure sales compensation tools to calculate, validate, and report commission payouts. - Clear, calm communication with sellers and leaders, including during difficult payout conversations. EVEN BETTER… - Familiarity with commission accounting, including accruals, journal entries, and month-end close. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: United States Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We’re looking for a Senior Technical SEO Analyst to improve the technical foundations that help 1Password.com http://1Password.com attract qualified audiences, support conversion, and build category authority across consumer, product-led growth (PLG), and enterprise experiences. This is a hands-on individual contributor role for someone who moves beyond audits to diagnose root causes, recommend practical solutions, implement changes, and partner with Web Engineering when improvements require code or platform development. Reporting to the Senior Manager, SEO and GEO. On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights fasterso we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity the US. What we're looking for: • 4+ years of hands-on technical SEO experience on a complex software as a service (SaaS), enterprise, international, or multi-audience website. • Strong knowledge of crawling, indexing, rendering, canonicals, redirects, sitemaps, robots directives, structured data, JavaScript SEO, Core Web Vitals, internal linking, and international SEO. • Experience moving from technical diagnosis to implementation through content management system (CMS) changes, engineering requirements, release quality assurance (QA), and measurement. • Experience with an enterprise or headless CMS, including content models, publishing workflows, governance, and data quality. • Experience supporting a domain, CMS, platform, or acquired-site migration. • Strong analytical judgment and working knowledge of Hypertext Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, crawl tools, Google Search Console, web analytics, and monitoring systems. • Clear communication and cross-functional project leadership, including the judgment to make day-to-day decisions independently and bring forward recommendations on broader decisions. Experience with Contentful, Vercel, Next.js, GitHub, GitLab, server-log analysis, observability, automated testing, workflow automation, cybersecurity, developer products, or a global website serving both business and consumer audiences is a plus. What you can expect: • Monitor and improve crawlability, indexation, rendering, site performance, structured data, internal linking, and international SEO. • Diagnose complex technical issues and recommend priorities based on impact, effort, risk, dependencies, and business goals. • Implement changes in the CMS and partner with Web Engineering on technical SEO requirements, acceptance criteria, and release QA. • Lead defined technical SEO workstreams for migrations and major site changes, including redirect planning, launch monitoring, and post-launch remediation. • Maintain agreed taxonomy, structured-content, internal-linking, and data-quality systems that support scalable content discovery. • Build monitoring, dashboards, alerts, and repeatable processes using crawl, search, analytics, log, and CMS data. • Use artificial intelligence (AI), scripts, application programming interfaces (APIs), and automation to scale technical analysis, quality assurance, and repeatable fixes with appropriate human oversight. USA-based roles only: The annual base salary for this role is between $88,000 USD and $123,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: San Francisco, CA | New York City, NY 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 The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function, using automation, quantitative risk and AI-native platforms to enable decision making. The risks we assess span Anthropic's full security landscape, so the team needs breadth across domains and the judgment to go deep wherever a decision demands it. Security Risk, in deep partnership with Security Engineering, helps define the security program and shapes how investment and treatment decisions get made. The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions. As a Security Risk Analyst you will take risk questions from leadership and partner teams and drive them to a decision. Sometimes that is a fast, structured qualitative assessment and other times it is a deep FAIR-based quantitative analysis. Either way you bring leadership a clear position, the tradeoffs, and honest uncertainty, and you defend it under challenge. In parallel, you will help turn quantitative risk into a product partner teams can leverage, and define the standards a growing risk function will run on. Key responsibilities Enable leadership and partner teams to make risk-informed decisions. Take ambiguous risk questions, drive them to a documented decision, and communicate the quantitative and qualitative tradeoffs clearly Lead quantitative analysis of the company's top security risk scenarios using FAIR, calibrated estimation, and simulation, working with the engineers who own the systems and presenting results in terms leadership can act on Partner with Security Engineering to assess threat scenarios and control effectiveness so security investment is right-sized to actual risk and remediation is sequenced where it buys down the most risk Frame escalations and risk treatment decisions with a clear recommendation, an honest statement of uncertainty, and re-evaluation triggers, and pressure test those decisions with risk owners Shape the analysis and narrative behind leadership risk reviews, and help define risk appetite and the risk metrics the organization should measure and why Use AI and automation to scale risk analysis, and own the calibration and quality review that keep the outputs trustworthy Turn one-off analyses into reusable methods, templates, and training so risk analysis becomes increasingly self service for partner teams, and raise the analytical quality of the risk register You may be a good fit if you Have owned security or technology risk analysis end to end, qualitative and quantitative, and can point to a decision your output changed, whether a funding call, a launch call, a remediation sequence, or a documented acceptance Have hands-on FAIR-style quantification experience, including scenario decomposition, calibrated estimation, and Monte Carlo simulation in Python, R, or spreadsheet tooling, briefed to decision makers Thrive in ambiguity. You frame a moving question into something analyzable, pick the depth that fits, and drive to a decision rather than a report Put defensible severity and likelihood on ambiguous problems, state uncertainty honestly, and change your position when the evidence changes Have enough technical security depth to decompose an attack path with security engineers and be credible in the room Can compress a complex risk position into one paragraph for the CISO, make the tradeoff explicit, and defend it under pointed questions Use Claude or other LLMs as daily working tools and review model output critically Are low ego and collaborative, build credibility through the work, and care about AI safety and the role security risk plays in it Strong candidates may also Have applied FAIR-CAM or another structured approach to control effectiveness and attack path modeling Have built or operated a cyber risk quantification program, or turned quantitative analysis into tooling, templates, or training that others ran Have helped define risk appetite or tolerance thresholds an organization actually used to make decisions Bring a background in security engineering, detection, threat intelligence, actuarial science, or decision science that grounds the numbers in real systems Are familiar with security risks specific to AI systems, such as goal or intent modification, and how they change traditional threat models 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: Austin, in-person About inKind inKind is transforming restaurant financing and customer engagement through an innovative fintech platform that provides restaurants with growth capital while helping consumers discover and enjoy dining experiences nationwide. As inKind continues to scale, our Finance organization is increasingly powered by technology, automation, and interconnected data. We’re looking for a Finance Systems & Automation Analyst who can help operate, troubleshoot, and improve the systems and workflows behind our accounting and financial processes. Position Summary This is not a traditional accounting role, and we are not looking for a software engineer. We are looking for a systems-oriented problem solver who is naturally good at understanding how things work, breaking complicated processes into logical steps, working with financial data, and figuring out what is happening when something doesn’t work as expected. You will sit at the intersection of Finance, Accounting, Data, and Technology , helping operate and improve the automated workflows that support our financial infrastructure. A significant portion of the role will involve working in NetSuite , alongside tools such as Google Sheets, SQL, internal data sources, integrations, and third-party platforms. You do not need to be an expert programmer. You do need to be comfortable looking at an unfamiliar process, dataset, formula, query, or piece of logic and methodically figuring out how it works. The ideal person has strong numerical intuition, exceptional attention to detail, and the curiosity to ask not only “Is this number correct?” but also “Where did this number come from, how did it get here, and how could we make this process better?” What You Will Do Finance & Accounting Operations Operate and maintain recurring accounting and finance workflows, including cash transaction categorization, journal entry preparation and uploads, reconciliations, and weekly/monthly reporting processes. Work extensively within NetSuite to support accounting operations, investigate issues, manage imports, and maintain accurate financial information. Manage the inputs and outputs of automated finance processes, including data validation, CSV preparation and uploads, exception handling, and transaction-level corrections. Adapt established processes to accommodate one-off transactions, new business scenarios, and evolving Finance requirements. Support weekly and monthly accounting close activities and maintain the automated workflows supporting those processes. Systems, Data & Automation Monitor automated financial data flows from source systems through accounting, forecasting, and reporting outputs. Ensure the continued availability, completeness, and accuracy of transaction history, balances, forecasts, and other financial information used across the organization. Build, maintain, and troubleshoot automated financial workflows across accounting systems, internal data sources, and third-party platforms. Investigate issues across Google Sheets logic, SQL queries, CSV imports, integrations, NetSuite, and other financial systems. Trace data through multiple systems to identify where errors or inconsistencies originate. Independently resolve routine systems and data issues while identifying the source, scope, and appropriate escalation path for more complex problems. Process Improvement & Problem Solving Break complex financial processes into clear, logical steps and identify opportunities to simplify or automate them. Understand existing formulas, queries, scripts, integrations, and workflows well enough to troubleshoot and improve them. Identify repetitive manual processes that could be standardized, automated, or eliminated. Support the implementation of new products, systems, and business processes as they interact with Accounting and Finance. Create ad-hoc reporting, tools, and analyses to answer new business questions. Partner across Finance, Accounting, Product, Engineering, Data, and other teams to translate business requirements into practical solutions. Document processes and workflows so that systems remain understandable, scalable, and maintainable as the company grows. What We Are Looking For Strong systems thinking — you naturally break problems into inputs, rules, dependencies, outputs, and exceptions. Strong numerical intuition and an ability to recognize when financial data does not make sense. Comfort working with large datasets and identifying patterns, anomalies, and inconsistencies. Ability to approach ambiguous problems with limited context and determine what questions need to be answered first. Strong attention to detail without losing sight of the broader process or business objective. Comfort learning unfamiliar systems, tools, formulas, and technical concepts independently. Ability to read and reason through existing formulas, queries, or code even if you would not consider yourself a developer. Ability to troubleshoot systematically rather than relying on trial and error. Strong communication skills and the ability to explain technical or financial processes in straightforward terms. Tools & Technical Experience Experience with some combination of the following is valuable: NetSuite or another ERP/accounting platform Advanced Google Sheets or Excel SQL and relational data Large structured datasets Financial reporting and reconciliation APIs, integrations, or third-party data connectors Automated workflows or low-code automation tools Financial or accounting data structures Deep expertise in every tool is not required . We care more about your ability to understand unfamiliar systems, reason through problems, and learn quickly than expertise in a particular programming language. Salary: $80,000 - $90,000 DOE + Benefits Who we are: inKind connects passionate diners with exceptional restaurants across the country. inKind partners with thousands of restaurants and has millions of users who want to discover great places, dine confidently, and earn meaningful rewards. Through the inKind app, guests earn 20% back every time they dine, turning everyday meals into something more rewarding. From celebrated restaurant groups like José Andres and Michael Mina to beloved neighborhood favorites, inKind helps diners explore the best restaurants in town while supporting the restaurants and chefs who shape how their cities eat. Rooted in hospitality and built on a win-win philosophy, inKind exists to help great restaurants thrive while inspiring guests to dine out more often. Every meal creates value on both sides of the table, empowering diners to savor more while strengthening the restaurant community. inKind is an Equal Opportunity Employer. We believe that diversity is vital to inKind's ability to provide our clients with the best recommendations and are committed to fostering a varied and inclusive work environment. Your race, color, ancestry, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability status, veteran status, or any other protected category have no bearing on our hiring decisions. By submitting this application, you acknowledge that inKind Cards, Inc. may share the information you provide with trusted third-party service providers, including fraud detection and application processing partners, to evaluate your application and ensure the integrity of our hiring process. Your information will be handled in accordance with our Privacy Policy . For California residents and others with applicable rights, please review our privacy notice for information about your rights regarding your personal data.