Вакансии

Обеспечение исправного функционирования и настройка систем видеоконференцсвязи; Сопровождение и организация мероприятий с использованием аудио-видео оборудования в переговорных комнатах, актовом зале и выездные мероприятия на площадке предприятия в цехах;

Чем предстоит заниматься: Проектирование ландшафта 1С:ЗУП (анализ плюсов/минусов единой БД против филиальной структуры/RIB). Согласование архитектурного паспорта системы.

Задачи: — Разработка функциональных модулей и сервисов на языке С++; — Проведение ревью исходного кода других участников команды; — Реализация модульных и интеграционных тестов; — Проведение ревью технических решений; — Разработка рецептов сборки и настройка сборочных конвейеров. Требования: — Глубокое знание и практический опыт применения языка C++ (до С++20); — Знание внутреннего устройства ОС Linux; — Опыт применения скриптовых языков: Python, Bash; — Опыт использования систем сборки: make/autotools, CMake; — Опыт использования системы контроля версий git и методов построения процесса разработки (GitFlow, OneFlow, GitHubFlow); — Знание особенностей работы и опыт применения технологий контейнеризации: Docker; — Знание особенностей организации и опыт реализации сборочных конвейеров; — Знание особенностей работы и опыт применения SQL/NoSQL баз данных; — Опыт использования средств обеспечения непрерывной интеграции; — Умение работать в команде и разбираться в чужом коде. Будет плюсом: — Практический опыт применения языка C++23; — Опыт применения менеджера зависимостей Conan; — Практический опыт разработки многопоточных приложений на C++; — Базовые знания криптографии. Условия: — Работа в офисе в Уфе; — Полное соблюдение трудового законодательства РФ, оплачиваемые отпуска и больничные листы, "белая" заработная плата; — Начало работы с 8.00 до 11.00, продолжительность рабочего дня 8 часов + 1 час на обед; — Оплачиваемое работодателем питание в офисе или кафе; — ДМС (добровольное медицинское страхование) - различные варианты программ, страховка от несчастных случаев; — Корпоративные мероприятия и спортивные инициативы; — Возможность получения профессиональных сертификатов и прохождения курсов повышения квалификации за счёт компании.

- Проектирование архитектуры хранилищ, моделей данных и стратегий партиционирования. - Разработка DAG, кастомных операторов и интеграций на Python с использованием Apache Airflow.

Задачи: — Разработка и актуализация методической, организационно-распорядительной, эксплуатационной и аттестационной документации системы защиты информации АСЗИ — Разработка и актуализация технической документации по защите информации — Участие в подготовке к аттестации объектов информатизации, проведение аттестационных испытаний (оценка соответствия) объектов информатизации (АС/АСЗИ) — Проведение ежегодного контроля защищённости объектов информатизации согласно установленным программам и методикам аттестационных испытаний — Проведение проверок состояния защищённости объектов информатизации и контроль соблюдения требований по обеспечению безопасности информации — Инвентаризация и контроль использования программно-технических средств АСЗИ — Актуализация Технического паспорта АСЗИ в соответствии с требованиями приказа ФСТЭК России 77 — Консультирование пользователей по вопросам информационной безопасности — Контроль выполнения пользователями и администраторами АСЗИ соответствующих инструкций и регламентов — Учёт инцидентов информационной безопасности — Участие в работе комиссии по расследованию инцидентов информационной безопасности Требования: — Высшее образование по направлению информационной безопасности или иное высшее образование с опытом работы не менее 3 лет в лицензируемой области или профессиональная переподготовка по специальностям информационной безопасности — Понимание принципов создания систем защиты информации — Знание нормативных требований федерального законодательства и регуляторов в области защиты информации, включая ФЗ 98, 149, 152, 187, ПП 1119, 1233, приказы ФСТЭК России 17, 117, 21, 77, ФСБ России 378, ISO 27001 — Приветствуется знание и опыт в сфере защиты информации ОКИИ: Указ Президента РФ №250, 187-ФЗ, ПП-1272, ПП-127, Приказы ФСТЭК России 235, 239 — Знание современных технологий и технических решений по защите информации, включая сетевую безопасность, веб-приложения, СУБД, ОС, среду виртуализации, удалённую работу — Опыт разработки организационно-распорядительной и эксплуатационной документации на систему защиты информации Условия: — Современные рабочие места — Цифровые сервисы для сотрудников — График работы 5/2, выходные в субботу и воскресенье, в пятницу рабочий день до 16:45 — Офисный формат работы (м.Нагатинская, БЦ "Ньютон плаза") Бонусы: — ДМС с первого рабочего дня со стоматологией — Большая библиотека электронных курсов — Корпоративные мероприятия — Скидки и акции от партнёров Дополнительные инструкции: — 1-2 этапа интервью

Location: Симферополь Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов в отделении банка * продавать продукты и услуги Сбера и помогать с их оформлением * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить платежи и переводы. Требования * имеешь образование среднее и выше * активно используешь гаджеты * доброжелателен и готов помогать клиентам * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа недалеко от дома * корпоративный планшет для комфортной работы * уникальная система онлайн обучения Сбера для карьерного развития и роста  * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. Будет преимуществом опыт работы в компаниях: Россельхозбанк, Росбанк, Совкомбанк, ГазпромБанк Яндекс, Ozon, Wildberries, Деловые Линии, ВТБ, Альфа-Банк, Тинькофф Банк, МТС, Билайн, Мегафон, Ростелеком. #клиентский\_менеджер #менеджер\_по\_продажам #администратор #консультант #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #страхование #вклады #ипотека #кредиты #Сбербанк #специалист #начинающий\_специалист #Сбер

As a Senior Associate, Broker Dealer Operations, you'll join the Coinbase Capital Markets (CCM) team and serve as a subject-matter expert within the operational engine supporting Coinbase's U.S. equities brokerage business.

Развивать сервисы для документооборота, закупок и внутренних процессов: писать API, интеграции и новые модули, улучшать производительность. Требования: сильный Python, актуальный опыт работы с Django и DRF за последний год, PostgreSQL, оптимизация запросов, Redis, Docker, Git и Linux.

Location: Prague; Limassol; United Kingdom - Remote Workplace: remote The Senior Director, Product Management leads the product team for Azul Prime and is accountable for Prime’s growth. Prime is Azul’s high-performance JVM, and Optimizer Hub, the component that moves JIT compilation and warm-up off the JVMs and into a shared service running in the customer’s Kubernetes environment, is part of it. Prime wins when customers run Java at scale and care about latency, warm-up, and cloud cost. You set Prime’s direction, run the product managers who work on it, and answer to the CPO, CEO, CRO, and SVP of Engineering for the results. This is a player-coach role. You manage a team, and you still own the decisions on strategy, pricing, and the hardest customer conversations. What You'll Own Outcomes. You own whether Prime succeeds or fails in the market. New business, pipeline, pilot-to-production conversion, expansion, renewal, and retention on Prime are your numbers, not just the field’s. You define what success looks like, instrument it, report it honestly when it is bad, and change the product or the plan when the data says the strategy is wrong. Strategy. Set the multi-year direction for Prime: which segments and workloads it wins, what to build versus partner for, and how it fits with Optimizer Hub, Azul Core, Intelligence Cloud, and Payara. Be explicit about what customers compare Prime against, including other JVM vendors, OpenJDK builds, and simply buying more cloud capacity. You own the thesis and you are accountable for whether it holds up. Executive partnership. Report to the CPO and work directly with the CEO, CRO, and CTO. Bring strategy, roadmap, and pricing decisions to the leadership team, argue for them with data, and change your mind in public when the evidence says you should. This is a visible role with real exposure. Go-to-market. Build and run the Prime go-to-market motion with sales, marketing, and customer success: who the buyer is, which accounts to target, what the pitch is, how pilots are structured, and what makes them convert. Work with the Prime sales specialists and field leadership on target accounts, qualification, and deal strategy. Join strategic customer and prospect calls yourself, and keep a clear, evidence-based view of why Prime deals are won, lost, and stalled. Roadmap. Translate strategy into a sequenced, credible roadmap, and make the trade-offs explicit rather than accidental. Build alignment across engineering, sales, and marketing around it, and inspire the teams to deliver it. Communicate it internally and to customers, hold the line on scope, and keep a heavy bias for action. Pricing and packaging. Own how Prime is priced, packaged, and metered, including how Optimizer Hub is packaged as part of it. Prime makes customers’ fleets more efficient, which can shrink the very footprint the price is based on, so the model has to account for that. You build the models, pressure-test them with the field, and work with finance and sales to get them approved and into market. Team leadership. Manage, develop, and hire the product managers on Prime. Give each PM a clear area to own and hold them to outcomes, not requirements. Set the standard for how the team works: written strategy and decisions, customer evidence behind every roadmap call, and AI tools used in daily product work. Inbound product management. Make sure the team works with engineering beyond writing requirements: in the sprints, in design reviews, and in the implementation trade-offs. Customer requirement sessions, customer-facing technical documentation, and the operator experience of installing, sizing, and running Optimizer Hub on Kubernetes all sit with your team. Outbound product management. Partner with marketing on positioning, launches, sales enablement, and public-facing content. Run competitive and market research. Make sure the Prime story lands with developers, platform teams, and the executives who sign. Technical credibility. Hold your own with the engineering teams. You understand JVM architecture and principles of operation, JIT compilation, garbage collection, and warm-up in particular, well enough that engineers treat you as a peer rather than a requirements conduit, and a customer’s platform engineers and CTO do too. What You'll Bring (aka Experience, Skills, Education) Required 15+ years in engineering and/or product roles, with a strong track record of launching and scaling products to revenue. 10+ years in product management, including owning a product or product line end to end: strategy through launch through revenue. 5+ years managing teams, including hiring, developing, and managing product managers. Track record shipping enterprise infrastructure or developer software sold to platform and engineering teams, such as language runtimes, application performance, observability, or cloud cost optimization. Ability to develop a deep working knowledge of JVM architecture and operation: JIT compilation, garbage collection, and warm-up. Demonstrated ownership of pricing and packaging for a technical product, including the cross-functional work of getting a model approved and into market. Experience building a go-to-market motion with sales: working enterprise deals, and understanding DevOps engineers, platform engineers, and developers as the key influencers in a sales cycle. Experience conducting market and competitor research with focus on product impacts and positioning. Experience directly interacting with customers and prospects - building customer relationships, discussing roadmap and strategy and conducting customer interviews Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes. Fluency with AI tools and experience operating in an AI-first product management organization. You use them in your daily product work and have a view on where they help and where they don’t. Excellent written and verbal communication in English, equally effective with an engineer and with a Fortune 100 CIO. Comfortable in a fully remote, async, multi-time-zone setup. Self-directed, and a strong writer, because writing is how decisions get made here. Comfortable in a startup-shaped environment where bringing order to chaos is part of the job. Nice to have Hands-on software or quality engineering background: you have written code and debugged production systems. Experience with open source communities and licensing. Experience taking a product from early traction to a durable revenue line. Experience leading across more than one product at once, especially products at different stages or sold through different motions. Experience with infrastructure software that customers deploy and operate themselves, not just SaaS. Working knowledge of Java and Java development tooling. Education Bachelor’s degree in a related field or equivalent work experience. An advanced degree and/or relevant certifications are nice to have, but not required. Location This can be a fully remote role, ideally be based in one of Azul's European locations such as Prague, Czech Republic or Limassol, Cyprus, OR any other location in Europe or the EU. What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Employment at Azul is contingent upon the completion of reference and background checks.

Location: Lehi, Utah Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us We’re seeking a Senior Customer Implementation Consultant to join our growing Customer Success and Support team. This is a senior-level individual contributor role for someone who thrives in complex implementation environments, has strong product expertise, and is passionate about improving operational excellence. You’ll be a strategic advisor during the onboarding journey for our most complex customers, owning the implementation lifecycle and working cross-functionally to ensure customer success. You’ll also be a thought partner to leadership and a mentor to peers—raising the bar as we scale our team and company. This role reports to the Senior Manager of Implementation and is based in Lehi, UT, with a hybrid schedule requiring in-office presence on Tuesdays, Wednesdays, and Thursdays. Day In The Life Lead high-complexity implementations for large, multi-site customers with minimal oversight. Act as a strategic consultant, guiding clients through best practices on change management, system adoption, and business process transformation. Serve as a product specialist across Workstream’s HR and Payroll tools—educating clients, identifying gaps, and recommending tailored configurations. Own the end-to-end project lifecycle, including project planning, stakeholder management, risk mitigation, and successful go-live. Collaborate deeply with Sales, Product, Engineering, and Customer Success to influence roadmap priorities and share customer feedback. Build and continuously improve scalable implementation processes, documentation, and templates. Deliver executive-level presentations and client onboarding plans for key enterprise accounts. Contribute to internal enablement by mentoring team members, leading knowledge shares, and serving as a go-to implementation SME. Influence team culture by modeling operational excellence, curiosity, and customer empathy. Who You Are You think like an operator—planning ahead, spotting inefficiencies, and continuously refining the customer journey. You’re a trusted voice in the room, both with customers and internal stakeholders. You’re naturally curious and autonomous—you don’t wait for a playbook; you help write it. You lift others—offering your expertise freely and proactively mentoring teammates. 5+ years of experience leading SaaS implementations for complex or enterprise-level clients, ideally in HRIS, Payroll, and/or B2B software 5+ years in a customer-facing consulting, implementation, or technical onboarding role Proven ability to manage multiple high-touch onboarding projects simultaneously Strong cross-functional collaboration and communication skills—especially with Product and Engineering Experience advising clients on process design, adoption strategy, and change management Deep project management skills—you can build Gantt charts in your sleep Comfort with tools like Salesforce and implementation/project management software Ability to train and mentor junior implementation specialists Nice To Have Payroll, compliance, or HRIS domain knowledge Startup experience of 1 to 3 years (prior customer success experience even better) What We Offer A mission-driven and value-based company dedicated to empower deskless workers and local businesses An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career Competitive salary and equity Comprehensive health coverage: medical, dental, and vision. We pay 95% of your premiums for our employees and 85% for dependents In office amenities and stocked kitchen 401K Plan Pre-tax commuter benefits Flexible PTO Salary Range In compliance with the California Pay Transparency Law, the base salary range for this role is $90,000 to $105,000 in Lehi, Utah, plus eligibility for a performance-based bonus and equity package. When determining a candidate's compensation, we consider a number of factors, including skill set, experience, job scope, and current market data. Know More About Workstream https://www.workstream.us/blog/funding-series-b https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/ https://techbuzz.news/buzzworthy-august-27-2021/ Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

Location: Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Salesforce Developer to help Webflow scale our go-to-market systems with quality, scalability, and strong governance. You’ll design and build the Salesforce, CPQ, and integration solutions that our Sales, Marketing, Customer Success, and Finance teams depend on every day. You’ll work closely with stakeholders and the broader Enterprise Technology team to turn business needs into clean, durable solutions. This role combines hands-on engineering excellence with the judgment to know what to build, what to simplify, and what not to build at all. You’ll help make our platform easier to use, easier to trust, and easier to extend. You’ll join a team of 5 architects, developers, and admins who own Webflow’s GTM systems end to end. We don’t have dedicated project managers, business analysts, or QA. Each of us runs our own projects from the first stakeholder conversation through requirements, design, build, testing, and rollout. We work as a community of practice. We share patterns, review each other’s work, and grow the craft together.   ABOUT THE ROLE: - Location: Remote-first (Canada) - Core working hours overlap with US Eastern / Pacific time - Full-time - Permanent - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. The specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) - $116,600-$163,300   This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.   Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.   - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to Anna Duncanson   As a Senior Salesforce Developer, you will: - Own the whole problem, not just the ticket. You’ll shape solutions from the first stakeholder conversation through launch, and bring your designs to a team that reviews, challenges, and builds on each other’s work. - Partner with RevOps, MarketingOps, LegalOps, Finance, and Pricing & Packaging leaders to turn business needs into clear designs, with options and tradeoffs that help them decide well. - Help own and evolve our Quote-to-Cash platform, from quoting and approvals through contracts and renewals, and help shape where Revenue Cloud Advanced fits. - Make the platform simpler. Reuse before you build, consolidate overlapping automation, and retire tools and packages we no longer need. - Design resilient integrations across the GTM tech stack, and chase data issues to their root cause even when they span several systems. - Build shared AI tooling that speeds up the whole team, from test generation to code review to metadata analysis. - Ship with care. Deploy your own changes through Gearset, build in monitoring, and fix production issues before users notice. - Raise the bar. Set the Apex, LWC, and security patterns others build on, give thoughtful reviews, and mentor developers and admins. - Help shape how we work, not just what we build. Take your turn as Scrum Master, run our ceremonies, and bring ideas that make the whole team faster and better.   ABOUT YOU: Requirements: - BS / BA college degree or relevant experience. - 5+ years of hands-on Salesforce development in a complex Sales Cloud org. - Salesforce Platform Developer I and Platform Developer II certifications. - Strong Apex, SOQL, Flow, and LWC skills, and a clear sense of when to use each. - Deep understanding of the platform’s transaction model, including order of execution, synchronous and asynchronous processing, bulkification, and governor limits, plus experience tuning performance in large-data-volume orgs. - Strong grasp of Salesforce security in code, including CRUD, FLS, sharing, injection prevention, and named credentials. - Hands-on Salesforce CPQ experience. - Experience with source-driven delivery: SFDX, Git, pull request workflows, static analysis, automated testing, and rollback planning in a CI/CD tool such as Gearset or Copado. - Experience with event-driven patterns such as Platform Events and Change Data Capture. - Experience building and supporting integrations designed for failure, including retries, idempotency, error handling, and clear system-of-record boundaries. Preferred: - Salesforce CPQ, Revenue Cloud, and/or Platform App Builder certifications. - Experience with identity provisioning or data warehouse integrations. - Experience in a B2B SaaS environment   You’ll thrive as a Senior Salesforce Developer at Webflow if you: - Are comfortable wearing many hats. You’re as confident running a requirements session, managing a timeline, writing test plans, and handling a production issue as you are writing code. - Hold a high bar for quality. You write clean, well-tested, well-documented code, and you treat production with care. - Design for scale. You build for where Webflow is going, not just where it is today. - Value strong governance. Clear standards, peer review, and documented decisions matter to you, and you help others follow them. - Challenge assumptions, including your own. You ask why, test ideas with data, and change course when the evidence says you should. - Always look for a better way. You reflect on your work and keep improving your skills, our patterns, and our processes. - Find the root cause. You use logs, data, and testing to prove what’s wrong before you change anything. - Communicate clearly. You can explain a technical tradeoff to a sales leader and to another engineer. - Protect focus. You redirect out-of-scope asks into intake, prioritize by value and risk, and leave room for the unplanned. - Help create a team where everyone feels safe to ask questions, raise concerns, and admit mistakes. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re seeking a transformational Solutions Engineering leader to lead our Mid Market and Enterprise SE teams in North America. You’ll be a pivotal figure in helping Intercom scale its AI-driven support platform to some of the world’s most well-known brands. This role will shape how we engage with large, complex organizations, defining our go-to-market, building a world-class team, and delivering tangible customer outcomes through innovation and credibility. This role is both strategic and hands-on. You will lead a Solutions Engineering team focused on winning complex deals, creating vertical-specific solution architectures, and building repeatable playbooks. We believe in leaders who are open to be a player and a coach, regardless of seniority. You’ll collaborate closely with Sales, Success, Product, Engineering, and Services to deliver customer transformation through Intercom’s AI-first platform – be it through strategic guidance as a senior leader on the team, or securing deals with your own technical credibility where needed. What will I be doing? Define and evolve the strategic vision and go-to-market (GTM) approach for the Solutions Engineering function. Lead, coach, and scale a high-performing SE team across global regions and core verticals. Operate as a player-coach, actively engaging in strategic deals while developing team capabilities. Support complex, six-figure sales cycles with technical guidance, architecture, demos, and product evaluation support, as well as sales expertise. Serve as a trusted technical advisor and executive point of contact for large customers. Partner closely with Sales, Product, Marketing, and R&D to shape verticalized GTM motions and solution strategy. Champion a customer-obsessed culture across the pre-sales journey – from outbound to implementation. Lead discovery, design, and delivery of tailored technical solutions, including PoCs and business value assessments. Build reusable, scalable solution frameworks, and industry-specific technical assets. Advocate for customer needs and insights internally to influence product roadmap and prioritization. Represent Intercom and the SE function externally through executive meetings and strategic events. Foster strong relationships with C-level stakeholders, translating AI product capabilities into tangible business impact. What skills do I need? 5+ years of pre-sales experience as a Sales Engineer, Solutions Engineer/Architect, or related individual contributor role. Having 3+ years of experience leading technical pre-sales teams, with a proven track record of hiring, mentoring, and managing high-performing teams. Ideally, experience selling AI, data, or highly technical products; or at the very least, deep curiosity and utilization of AI on your day-to-day. Comfortable with ambiguity in environments with an ability to stay focused and thrive under pressure while working with customers to solve their most challenging issues. Have a humble attitude, and a passion to help others, with a willingness to learn whatever it takes to support the team and help our customers thrive. A track record of consistently delivering revenue numbers, producing accurate forecasts, while maintaining a focus on team development and growth Excellent communication and presentation skills The OTE salary range for candidates within the Greater Chicago Area is $251,100-$299,925. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Our Salesforce org is the system of record for how Docebo sells, renews and serves customers. It carries CPQ, document generation, e-signature, provisioning and billing integrations, and a growing set of AI-driven workflows. The team that runs it is small, senior, and split between Canada and Italy. We've spent this year putting real structure behind it: a formal development lifecycle, a definition of ready for every ticket, a security standard for integrations, and a hardening program that is cleaning up years of accumulated access. We're adding a senior developer to carry that forward. You'll build on the platform every week, but you'll also be one of the people the rest of the team turns to when a design needs a second opinion, a connected app needs scrutiny, or a request needs someone to say "not like that, and here's why." ⚡ THE DAY-TO-DAY - Design and build. Deliver production-quality solutions in Apex, Lightning Web Components, Flow and platform configuration, from a clear problem statement through solution design, build, test and release. You'll work the full lifecycle, not just the ticket in front of you. - Integration security and governance. Review every new or changed integration against our integration security standard: connected app scopes, OAuth and token lifecycle, dedicated Okta-provisioned integration users, least-privilege permission sets. You'll push back on anything that asks for more access than it needs and document the decision. - Code and design review. Act as a reviewer for the team's pull requests and solution designs. Hold the line on maintainability, test coverage, deployment readiness and SOX-relevant change controls, and give feedback people can act on. - Platform health. Own a share of the technical-debt and hardening backlog: retiring unused automation, consolidating permission models, cleaning up legacy packages and integration users, and reducing the org's risk surface one deliberate change at a time. - Access and provisioning backstop. Be a point person for user activation, license allocation and permission assignment, and help move that work from manual cloning toward documented roles and automation. - Delivery partnership. Work directly with Revenue Operations, Finance, Marketing and Customer Success on scoping, and with the team's administrators and QA partner on testing and release. Take part in the daily check-in and the biweekly backlog and capacity review. - AI in the day-to-day. Use AI tooling to move faster on triage, documentation and build, and apply the judgment to validate what it produces before it ships. We care about both halves. 🌟 YOUR SUPERPOWERS - Deep hands-on Salesforce development. Several years shipping Apex, Lightning Web Components, Flow and integrations (REST, platform events, middleware) in a production org with real users and real release discipline. - A security mindset. You understand connected apps, OAuth scopes, permission sets, profiles and integration users well enough to spot a risky configuration and explain the fix. You treat "valid until revoked" as a problem, not a default. - Review experience. You've reviewed other engineers' code and designs and know how to be direct and useful at the same time. - Comfort in a governed environment. SOX controls, structured deployment windows, mandatory UAT, a source-control-backed deployment pipeline (we use Gearset and GitLab). - Clear communication, written and spoken, with technical and non-technical stakeholders. You can explain a trade-off to a VP and a defect to a developer. - Independence and judgment. You scope your own work, ask for clarity early, and don't wait to be told that a request is under-specified. - Working hours that overlap the team. Our daily check-in runs at 09:30 Eastern / 15:30 Central European; you'll need to be reliably available for it from either location. 🎯 BONUS POINTS - Salesforce Platform Developer II, Application Architect or Integration Architect certification. - Experience with Salesforce CPQ or Revenue Cloud, Conga or similar document generation, DocuSign, or a billing migration (we're moving billing to NetSuite). - Experience with Slack, Okta, Fivetran or Datadog as they relate to a Salesforce org. - Exposure to Data Cloud or Agentforce. - Italian language skills, or prior experience on a team split across North American and European time zones.   OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: United States Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading American financial services corporation and operator of a premier global stock market. Serving as the primary listing venue for major technology and growth-oriented companies, the organization also acts as a top-tier financial technology provider, delivering data analytics, market surveillance, and index licensing to institutional clients worldwide. To drive digital modernization, the platform integrates advanced cloud infrastructure and Generative AI to streamline cross-border listings, trading workflows, and global regulatory compliance. About the Role Exadel is seeking a Senior Calypso CATT Specialist with deep expertise in Calypso and the Calypso Automated Testing Tool to support complex financial-services testing and automation initiatives. This is a senior individual-contributor role responsible for independently defining test cases, developing advanced CATT scripts, automating complex front-to-back scenarios, and troubleshooting Calypso and CATT issues. You will perform detailed root cause analysis, reconcile end-to-end financial transactions, and contribute to the continued development of the testing automation framework. The ideal candidate combines strong Calypso functional and technical knowledge with advanced automation, reconciliation, debugging, and financial-product expertise. Work Type: Primarily remote Location: United States Preferred Location: New York City On-Site Expectation: Up to 10%, as required Travel: Occasional travel to New York City may be required What You’ll Do Independently gather business-user input and translate it into comprehensive test strategies, scenarios, test cases, and expected results Design, develop, maintain, and execute complex automated test scripts using CATT Automate front-to-back functional, integration, regression, and reconciliation scenarios Design reusable CATT components and automation patterns Validate test results across Calypso, CATT, interfaces, and downstream systems Independently troubleshoot complex Calypso and CATT configuration, integration, and execution issues Perform detailed root cause analysis and recommend sustainable corrective actions Reconcile end-to-end financial transactions across trade capture, valuation, settlement, accounting, messaging, and reporting workflows Contribute to the architecture and enhancement of the test automation framework Identify automation opportunities and develop plans to expand test coverage Validate Calypso architecture components, including servers, engines, events, workflows, scheduled tasks, and reporting frameworks Assess the impact of system changes across upstream and downstream applications Lead defect investigation and support technical and functional teams through resolution Provide clear reproduction steps, supporting evidence, impact assessments, and resolution recommendations Review automated test scripts and support testing standards and quality controls Provide guidance to less experienced analysts and testers Maintain accurate, traceable, and audit-ready testing documentation Apply deep Calypso knowledge across Fixed Income, Treasury, Foreign Exchange Derivatives, securities financing, repos, and collateral What You Bring Proven senior-level relevant experience in Calypso testing, financial-systems analysis, or test automation Advanced hands-on experience developing and executing automated tests using CATT Ability to define complex test cases independently based on business-user requirements Deep understanding of the CATT framework, script development, Calypso integration, automation design, and reconciliation modules Strong knowledge of Calypso architecture, servers, engines, events, workflows, scheduled processes, and reporting frameworks Demonstrated ability to troubleshoot Calypso and CATT issues independently Strong experience performing root cause analysis across complex financial-system workflows Knowledge of derivatives, bonds, repos, securities financing, collateral, and related reporting requirements Strong understanding of front-to-back banking operations, including: Trade capture and lifecycle management Pricing and valuations Settlements and transfers Reconciliations Accounting events and journal entries SWIFT messaging Collateral and securities-financing processes Regulatory and operational reporting Experience reconciling financial transactions across multiple systems and data sources Strong debugging, automation, reconciliation, and problem-solving skills Deep Calypso product knowledge across Fixed Income, Treasury, and Foreign Exchange Derivatives Strong written and verbal English communication skills Ability to work independently and influence business, functional, testing, and technical stakeholders Ability to manage complex priorities and deliver high-quality work within tight timelines Nice to have Experience with Java, SQL, XML, or JSON Proficiency with application logs, database queries, and technical debugging tools Experience designing or enhancing enterprise test automation frameworks Experience integrating automated tests into CI/CD pipelines Knowledge of collateral reporting, securities financing, and complex derivatives workflows Experience mentoring analysts or reviewing test automation deliverables Relevant Calypso, CATT, testing, or financial-services certifications Residence in or near New York City Availability to work in a hybrid model when required English level Advanced Legal & Hiring Information Compensation Transparency: The expected compensation range for this role is $130,000.00 - $160,000.00 USD annually, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs. Location Eligibility: This role is open to candidates residing in the United States. Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. US work experience is not required. Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process. Benefits Summary: US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements. Equal Employment Opportunity: Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable federal, state, and local laws. Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local accessibility laws. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. If you require accommodation at any stage of the hiring process, please contact us. Data Privacy Notice: For applicants residing in California, please note that personal data collected during the application process is subject to the California Consumer Privacy Act (CCPA) and will be processed in accordance with our applicant privacy notice. Disclaimer: Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. The offer is not binding until a signed contract is in place. Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this Role As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data Science. You have two mandates: Drive product impact now. Set the analytical agenda for your product areas and make sure the team's work changes decisions. Build the merged Data Science function. Define excellence for a Data Scientist who blends analytics and data science, and grow the team to that bar. You lead mainly through others, and step in hands-on when it matters: reviewing a model, pressure-testing an analysis, or writing the query yourself. What you’ll do Set a long-range vision and roadmap for Product Data Science, and show the team how its goals connect to company strategy Own prioritization and trade-offs across product areas, and adapt the team as priorities shift Be the go-to partner for Product and Engineering leaders on complex and urgent questions, choosing the right approach: a deep dive, an experiment, or a production model Raise risks and resource gaps early, and bring senior leaders clear options to drive timely decisions Hire, coach, and retain a high-performing team: build career paths, act on team feedback, and make tough talent decisions when needed Build a high-trust culture of urgency and accountability, where the team communicates openly, shares progress on a predictable cadence, and delivers quality results on time Set standards for experimentation, causal inference, metric definition, and production modeling What you’ll bring 10+ years in data science, product analytics, or a related field, including 3+ years managing data science or analytics teams in B2B SaaS or tech Strong product sense and a track record as a trusted partner to Product and Engineering leaders Exceptional communicator who makes complex problems and findings clear to any audience, from Product leaders to executives, and coaches others to do the same Thrives in ambiguity: structures undefined problems, gathers the right information, and makes sound decisions on high-risk, cross-team issues Courage to challenge: offers dissenting views, asks tough questions, and fosters inclusive debate Deep expertise in statistics and experimentation, including hands-on use of quasi-experimental methods (difference-in-differences, synthetic control, propensity score matching) Expert SQL (Snowflake preferred) and strong Python, with experience taking ML models to production Fluent with AI tools, with sound judgment on when AI output can be trusted Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values Nice to Have Experience with developer tools, DevSecOps, or product-led growth products Experience measuring adoption and quality of AI-powered product features Thought leadership in data science or analytics, internally and externally Advanced degree in a quantitative field About the Team Product Data Science brings Data Science and Analytics together into one function. Our Data Scientists are business partners first, pairing strong product judgment with deep skill in SQL, Python, statistics, and machine learning. We help Product and Engineering decide what to build, measure what worked, and understand how customers get value from GitLab. The opportunity is growing fast. AI is driving growth in GitLab's consumption business, creating new ways for data to drive growth. As AI takes over routine reporting, the team focuses on the hard problems: experimentation, causal inference, production models, and recommendations leaders act on. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product. The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you’ll design and implement the software that enables WHOOP’s wearable sensors to communicate seamlessly with the mobile platform. You’ll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member — ensuring reliable data flow across our entire ecosystem.   RESPONSIBILITIES: - Design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols. - Develop background and system-level iOS services that ensure reliable device connectivity, synchronization, and data transfer. - Leverage Swift and Combine to build resilient, efficient, and maintainable reactive pipelines for connectivity and data management. - Collaborate closely with embedded firmware, mobile, and cloud engineers to diagnose and resolve issues across a distributed system. - Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity layer. - Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization. - Document new features and architecture using Jira, Confluence and preparing code using Github feature, develop, and master branches - Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store QUALIFICATIONS: - BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience. - 3+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management. - Hands-on experience with Swift 6 Concurrency and background task processing for non-UI iOS features. - Demonstrated examples applying architectural and platform-based software design principals to build scalable, modular, testable software. - Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus. - Excellent collaboration and communication skills with a focus on cross-functional problem solving. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

We’re looking for a Senior Product Builder to own the backend and architecture that let Hub manage a whole fleet of clusters. Your first focus will be the mechanism that sends access, secret, tenant and licence changes out to every connected cluster and brings deployments, health and audit records .

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com