Ищем руководителя команды дизайна для направлений кредитования, сбережений и страхования, а также ведущего дизайнера в команду кредитования.
Это сложные продукты с высокой ответственностью и большим количеством задач, в которых предстоит самостоятельно принимать решения и отвечать за результат.
Работа в офисе в центре Москвы.
Требования:
— Релевантный продуктовый опыт и мышление через бизнес.
— Наличие портфолио (если все проекты под NDA и показать нечего — продолжить не получится).
— Умение работать самостоятельно, без обучения с низкой базы.
На интервью будет много каверзных вопросов о продукте, чтобы проверить понимание роли дизайна в продукте и бизнесе.
Контакты для отклика: elena.davidchik@moex.com и mariya.yumatova@moex.com.
Компания готова честно и подробно ответить на вопросы о продукте и команде.
Требования:
— Знание Русского и Узбекского языка;
— Грамотная речь, вежливость, доброжелательность и пунктуальность;
— Опыт работы в торговле;
— Навыки SMM приветствуются.
Обязанности:
— Консультирование покупателей;
— Помощь в подборе товара по возрасту и интересам;
— Работа с кассой;
— Выкладка товара и поддержание чистоты и порядка в магазине;
— Инвентаризация.
Условия:
— Работа в уютном магазине в центре города Ташкент;
— Дружный коллектив;
— Обучение и поддержку на старте;
— Стабильную заработную плату.
Режим работы: 5/2 с 11:00 до 20:00;
Оклад: 150.000 в день фикса + % от продаж.
Задачи:
— Вести рекламные кампании и постоянно искать способы повышения их эффективности (белые каналы продвижения);
— Запускать кампании в рамках проверки высокорискованных гипотез (тесты нового функционала рекламных каналов, выход на новые аудитории);
— Тестировать и готовить к масштабированию новые каналы, рынки и подходы;
— Участвовать в запусках новых продуктов и помогать в оценке бизнес-метрик;
— Тестировать принципиально новые подходы к презентации продуктов в креативах;
— Работать с аналитикой: исследовать воронки, работать с фродом и анализировать качество трафика (CPA, CPI, LTV, ROAS).
Требования:
— Хороший разговорный и письменный английский (уровень B2 и выше);
— Опыт закупки трафика в каналах (не обязательно во всех): Google Ads, Meta (Facebook) Ads, TikTok, Unity Ads;
— Понимание основных метрик окупаемости (ROAS), метрик продуктового вовлечения (Retention);
— Исследовательский майндсет: умение формулировать гипотезы и делать выводы на основе цифр;
— Желание развиваться в мобильном и кросс-платформенном маркетинге.
Плюсы:
— Опыт участия в разработке внутренних инструментов маркетинговой аналитики;
— Опыт работы с играми или развлекательными приложениями во взаимодействии с продуктовой командой;
— Понимание бизнес-модели free-to-play мобильной игры.
Условия:
— Оформление по ТК РФ;
— Гибкое начало рабочего дня с 9:00 до 11:00;
— ДМС со стоматологией со 2 недели работы;
— Частичная компенсация фитнеса, консультации с психологом и занятия в Skyeng.
ОфисМосква
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Задачи:
— Разработка и поддержка работоспособности существующего кода системы;
— Оптимизация производительности системы под высокие нагрузки;
— Работа с новыми и интересными технологиями (в том числе с ИИ);
— Выявление и устранение ошибок систем, улучшение процессов разработки и рефакторинг кода.
Требования:
— Коммерческий опыт в PHP 7 от 2-х лет;
— Знание принципов ООП и шаблонов проектирования;
— Знание языка SQL;
— Опыт использования систем контроля версий git;
— Высшее образование.
Будет преимуществом:
— Разработка под промышленные СУБД (PostgreSQL);
— Опыт работы в консоли, Linux, опыт работы с ИИ, REST API, GraphQL.
ОфисКазань; Компания рассматривает кандидатов только из Казани
Задачи:
— Искать и привлекать новых клиентов через networking, referrals, мероприятия и targeted outreach
— Выстраивать отношения с C-level decision-makers
— Презентовать консалтинговые услуги и выявлять потребности клиентов
— Квалифицировать лиды и передавать тёплые контакты внутренней consulting-команде
— Вести и развивать sales pipeline, регулярно делать follow-up
— Отслеживать активность, статус лидов и конверсию
— Представлять компанию на встречах, конференциях и профильных мероприятиях
Требования:
— Опыт в Sales / Business Development / Lead Generation / Client Acquisition в Forex, iGaming, Fintech, Payments или high-risk
— Собственная сеть контактов среди брокеров, операторов, аффилиатов, PSP, fintech-компаний и других участников рынка
— Умение вести переговоры и выстраивать отношения с C-level
— Понимание банковских услуг, EMI, PSP, acquiring и crypto payments
— Знание основ KYC/AML, compliance, onboarding и payment flows
— Самостоятельность, коммерческое мышление и ориентация на результат
— Опыт в консалтинге, финансовом или professional services — будет плюсом
— Английский + русский — обязательно
Условия:
— Конкурентную заработную плату
— Удобный офис в Лимассоле
— Ежедневные завтраки и обеды в офисе
— Возможности профессионального и карьерного роста
— Формат работы: on-site, Limassol, Cyprus
Требования:
— Возраст 25–40 лет
— Отличное знание полиграфической продукции и технологий печати
— Свободное владение русским и узбекским языками
— Уверенный пользователь ПК
— Грамотная речь, ответственность, коммуникабельность
Задачи:
— Работа с клиентами и прием заказов
— Расчет стоимости и подготовка коммерческих предложений
— Сопровождение заказов от приема до производства
— Контроль сроков и ведение клиентской базы
Условия:
— Зарплата 6 000 000 сум + % от продаж
— График 5/2, 09:00–18:00
— При высокой загрузке возможны переработки
— Место работы: Чиланзар, 7-й квартал, ориентир — мечеть «Хасанхон Кори»
Задачи:
• Manual & automated testing
• Design, execute and automate test cases
• Develop automated test scripts, frameworks and tools
• Perform regression testing
• Identify and report bugs
• Work closely with developers and product teams
• Contribute to QA strategies and process improvements
Требования:
• Bachelor’s degree in Computer Science, Software Engineering or a relevant field
• 3+ years of proven experience as a QA Engineer
• Exceptional attention to detail and strong analytical skills
• Experience with test management software
• Familiarity with Agile frameworks and regression testing
• Solid knowledge of Development Life Cycle and Defect Life Cycle
• Strong time management and organizational skills
• Excellent written and verbal communication skills
Условия:
• Competitive salary + performance-based bonus
• 7.5-hour workday + 30-minute break
• Up to 25 days of annual leave + public holidays
• Professional development & training
• Modern office in Paphos
• Friendly team
Задачи:
— Создание современных систем беспроводной связи с близкими к предельным характеристиками.
— Реализация алгоритмов приема и передачи физических стеков радиоинтерфейсов (ЦОС): цифровая компрессия (CFR) и линеаризация (DPD); частотная, временная, фазовая, символьная синхронизация; оценка канала и эквализация; помехоустойчивое кодирование, модуляция и демодуляция; системы автоматической регулировки усиления; цифровое и аналоговое диаграммообразование, пространственная фильтрация и мультиплексирование; MIMO, mesh.
— Разработка протоколов работы радиосетей (многоточка, роуминг, mesh).
— Реализация физических стеков стандартных 5G NR / DVB-S2x и проприетарных C-OFDMA / SC-FDMA радиоинтерфейсов.
— Разработка кода для работы с высокоскоростными интерфейсами (Ethernet, JESD, PCI Express и другие).
— Разработка управляющих программ uBlaze.
— Тестирование и отладка кода в изделиях с использованием контрольно-измерительного оборудования.
— Взаимодействие с алгоритмической командой, командой разработки РЧ трактов и вычислительных блоков.
Требования:
— Высшее профильное образование в области радиоэлектроники, радиотехники, радиофизики или программирования.
— Опыт программирования ПЛИС не менее 3 лет.
— Знание Verilog, System Verilog, VHDL, C, архитектуры ПЛИС Xilinx, САПР Xilinx Vivado.
— Глубокие знания в области цифровой обработки сигналов.
— Знания в областях радиосвязи, интерфейсов, цифровой высокоскоростной схемотехники, радиоэлектронных устройств и приборов.
— Умение работать с контрольно-измерительным оборудованием.
— Опыт работы с Git.
Условия:
— Трудоустройство по ТК РФ.
— Стабильная "белая" заработная плата.
— График 5/2 с 9:00 до 18:00.
— Доставка до места работы на служебном транспорте (район Кольцово).
— Корпоративное питание.
— Конкурентная заработная плата.
— Интересные проекты и работа с передовыми технологиями.
— Современное оборудование, любое аппаратное обеспечение для эффективного выполнения задач.
— Возможности для саморазвития: тренинги, конференции, обучение.
— Окончательный уровень заработной платы определяется по результатам технического собеседования в соответствии с опытом, знаниями и навыками кандидата.
Location: Auckland
Workplace: OnSite
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
ABOUT THE ROLE:
Imagine building the technology that helps one of the world’s most advanced ag-tech companies scale… from the tools our teams use on the road to the systems powering our commercial and customer operations.
At Halter, we’re building an ecosystem of custom applications, connected platforms, and AI-powered capabilities that help our teams work smarter and move faster. We’re looking for an Engineering Manager who gets excited about turning ambitious ideas into reliable software - and building a great engineering team along the way.
Reporting to our Head of Ecosystem and AI, you’ll lead a growing team of software engineers and our Solution Architect. Your team will build across revenue, finance, marketing, localisation, and internal tools, connecting the systems and experiences that support Halter’s growth.
You’ll bring strong technical judgement and real ownership of delivery. You’ll help the team make good architectural decisions, remove blockers, develop their skills, and ship work that makes a measurable difference. You’re comfortable getting into the detail, while giving your team the context and space to own their work.
YOU’LL BE GREAT IF YOU BRING:
- Experience leading software engineers, coaching people, managing performance, and building strong teams.
- Strong engineering depth to challenge designs, review approaches, and solve complex problems.
- Experience delivering applications, APIs, and integrations from discovery through to production and ongoing support.
- Sound architectural judgement, balancing speed, reliability, security, and maintainability.
- Experience managing delivery across multiple projects, making trade-offs clear and addressing risks early.
- Ability to turn ambiguous business problems into clear technical work with product and business stakeholders.
- A practical approach to engineering standards, testing, deployment, observability, and documentation.
- Clear communication and collaborative energy that helps others understand technical decisions and move forward.
BONUS THINGS YOU COULD BRING ALONG TO THE ROLE:
- Experience building internal applications or tools for commercial and customer teams.
- Experience integrating with Salesforce, finance, marketing, or other critical business systems.
- Hands-on experience delivering AI-powered applications, agents, or automation.
- Experience with TypeScript, Python, cloud infrastructure, and modern application architectures.
- Experience supporting software across markets, including localisation.
- Experience growing an engineering team in a fast-paced tech scale-up.
WHAT YOUR DAY COULD LOOK LIKE:
- Lead, coach and develop our software engineers and Solution Architect, setting clear expectations and supporting growth.
- Own engineering delivery, turning agreed priorities into achievable plans and keeping work moving.
- Partner with our Senior Product Manager and Ecosystem Manager to scope solutions, manage dependencies, and deliver connected experiences.
- Guide design and architecture with our Solution Architect, keeping decisions aligned with the wider ecosystem.
- Build and improve applications, integrations, services, and AI capabilities for Halter’s commercial and customer operations.
- Set engineering standards that help the team ship quality, maintainable software.
- Own operational health, including monitoring, incident response, and reliability improvements.
- Balance new capabilities, technical debt, and platform improvements, making trade-offs clear.
- Lead hiring and onboarding, building the team’s capability to deliver our roadmap.
- Work with the Head of Ecosystem and AI to shape technical direction, team capacity, and investment priorities.
OUR BENEFITS
- Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan.
- Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being.
- Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth.
- We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family.
- Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave.
OUR OFFICE FIRST APPROACH
Humans are wired for connection. Being office first is a core pillar of our culture because in-person connections drive your growth, learning, impact, and relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful work together.
We're office first, not office only. Working from the office is our default, but we flex when needed. We have a high-trust culture where everyone is trusted to do what's best for Halter.
Our office vibe is special, the high energy and spectacular people make work enjoyable. Your growth and impact are unlimited here, coming from solving problems, innovating, and constantly learning from each other.
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!
Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
WHY OUR TEAM LOVES WORKING AT HALTER:
- Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
- Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.
- You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund.
- This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"
Требования:
— Высшее финансовое образование;
— Опыт на аналогичной позиции не менее 2-х лет;
— Знание 1С 8.2., 8.3, 1С:Управление торговлей;
— Знание и опыт работы с ЭСФ и СНТ, с НДС;
— Уверенный пользователь ПК;
— Знание практических навыков с оборотно сальдовой ведомостью.
Обязанности:
— Корректное и своевременное отражение входящей документации в 1С;
— Ежемесячное подписание актов-сверок, корректное отражение в учете кредиторской задолженности;
— Работа с полученными ЭСФ и СНТ, НДС;
— Еженедельная подготовка дебиторской и кредиторской задолженности.
Условия:
— 5/2, 8.00 -17.00;
— ЗП 450.000 тенге на руки;
— Официальное оформление;
— Офис в центре города.
Задачи:
— серверная и сетевая инфраструктура банка;
— работа с Linux, Windows, VMware;
— работа с Cisco, S-Terra, «Континент»;
— автоматизация администрирования и написание скриптов;
— резервное копирование и информационная безопасность.
Условия:
— квартальная премия до 20% квартального дохода;
— ДМС;
— оплата профильного обучения и литературы.
Город: Москва
Вакансия опубликована 29 сентября, открыта до 29 октября.
Задачи:
— поддержка онлайн образовательной системы в роли support teacher (стажёр).
Требования:
— знание Html, Css, Tailwindcss, Js, Reactjs.
Условия:
— работа в офисе в Ташкенте.
— возможность получить опыт работы в команде с опытными сотрудниками.
— участие в бизнес-логике и построении системы.
— стажировка без оплаты (бесплатно).
— рабочее время с 10:00 до 19:00.
Контакт для связи: +998 94 329 28 31.
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.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
You'll own the operational backbone that connects what we sell to what we bill: turning executed contracts and agent usage into accurate bookings and reports, and turning the data behind both into critical insights the business acts on. This role sits at the center of the company’s business model and works across Sales, Finance, Legal, Pricing, GTM Systems, and Agent Development.
Own order management across the customer lifecycle
- Own the path from signature to booking: build, verify, and book quotes across the customer lifecycle, capturing all critical commercial terms
- Collaborate across GTM Operations, Finance, and Sales Compensation to ensure bookings flow accurately into all downstream systems and reporting
- Leverage and spearhead order management guides and best practices, influencing policies and processes as new terms and products emerge
Accelerate usage tracking and reporting
- Partner with Agent Development to set up, verify, and maintain outcome-based usage tracking across agents
- Run the monthly consumption reporting and billing cycle for our growing customer base, delivering key reports to the company and to the Customer
- Serve as the owner for usage questions from customers, Sales, and Agent Development
Support our deal operations and velocity
- Draft, review, and execute order forms, working with our Pricing team to align on commercial negotiation, deal forecast, and downstream operability
- Partner with Sales, Legal, Pricing, and Finance across the deal lifecycle to execute deals cleanly and drive scalability over time
Build the operational machine with us
- Continuously identify repetitive processes across the order management lifecycle and collaborate across the Go-to-Market Operations team to automate and scale them
- Work with Revenue Operations and GTM systems to define billing processes and policies for new products and pricing models
- Ramp from running standard processes to owning complex and ambiguous scenarios
WHAT YOU’LL BRING
- 2–4 years in deal desk, order management, billing operations, or revenue operations at a B2B SaaS company
- Experience owning an operational booking and/or billing queue end-to-end with high accuracy against monthly deadlines
- Experience with CRMs (e.g., Salesforce) and a CPQ or billing system; comfortable reading a contract and translating terms into system fields
- Strong attention to detail and clear written communication skills to collaborate with Sales, Finance, Legal, and customers
- Ability to identify areas for improvement and build solutions using AI tooling
- Based in San Francisco and able to work in-office with the team
EVEN BETTER…
- Experience with usage-based billing (commitments, overages, credits, true-ups)
- Familiarity with Quoting and Contract Lifecycle Management tools
- SQL or spreadsheet modeling skills
- Exposure to sales compensation, revenue recognition, or partner and reseller billing
- Experience at a high-growth company where you helped stand up a process from scratch
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
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
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.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
Sierra’s Applied Research team advances the quality, speed, and cost efficiency of the models powering our agents across a wide range of tasks. Our work spans post-training open-weight models for specialized capabilities and pioneering new approaches to voice AI, turning research breakthroughs into reliable production systems.
WHAT YOU’LL DO
- Tackle unsolved applied AI and ML problems. Pushing the boundaries of post-training, voice AI, and long-horizon task execution, building agents that can reason, adapt, and reliably carry out complex tasks for customers.
- Determine when to build specialized models and when to use externally provided frontier intelligence, balancing quality, speed, and cost to deliver customer value.
- Turn ambiguous product and customer problems into well-framed machine learning problems.
- Develop, fine-tune, evaluate, and deploy models that improve Sierra’s customer-facing AI agents.
- Advance our post-training work, from supervised fine-tuning toward reinforcement learning and long-horizon optimization.
- Build rigorous evaluations that connect model performance to real-world agent quality.
- Work with large-scale, proprietary datasets spanning text and audio interactions.
- Collaborate across Sierra while taking ideas from experimentation through production deployment and customer impact.
WHAT YOU’LL BRING
- Strong experience building and deploying production machine learning and AI systems. We welcome backgrounds across applied ML, including search, ranking, recommendations, advertising, language, and speech.
- Excellent judgment in framing product problems as ML tasks and selecting the simplest & most effective approach.
- Experience working deeply with data, experimentation, evaluation, and model iteration.
- A practical, evidence-driven approach to ML, with strong judgement around when a problem calls for modeling and when a simpler solution will deliver the best outcome.
- The ability to operate with high agency and work across the stack when needed to deliver an outcome.
- Alignment with Sierra’s values, including Craftsmanship, Customer Obsession, and Competitive Intensity.
- A degree in computer science, machine learning, or a related field, or equivalent professional experience.
EVEN BETTER…
- Experience with supervised fine-tuning or reinforcement learning.
- Experience in search, ranking, recommendations, or advertising systems.
- Experience training and deploying language, speech, or multimodal models.
- Experience designing model evaluations tied to real-world product outcomes.
- Experience working with large-scale consumer datasets or high-volume ML products.
- Contributions to applied ML research or benchmarks.
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
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
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.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
ABOUT THE ROLE
Sierra’s AI agents depend on foundation models to reason and act in real time. The Inference team builds the systems that make those models fast, reliable, and efficient at scale.
As a Software Engineer on Inference, you’ll help define Sierra’s inference architecture across both self-hosted models and third-party inference providers. You’ll work on the systems responsible for serving and routing inference, managing capacity and quota, and optimizing for latency, reliability, and cost.
This is a systems-first role at the intersection of distributed infrastructure and AI. You don’t need to be an ML researcher—we’re looking for engineers who love complex systems problems and are excited to apply that expertise to one of the fastest-moving areas of AI infrastructure.
WHAT YOU'LL DO
- Partner with frontier labs and providers. At our scale, we rely on frontier labs, and inference providers to supply capacity, training and inference infrastructure.
- Shape Sierra’s inference architecture. Design how inference traffic flows across models, infrastructure, and providers, including new serving and proxy layers as Sierra scales.
- Build for low latency and high reliability. Develop systems for routing, failover, capacity management, and quota that keep inference performant and available across large-scale production workloads.
- Build and operate self-hosted inference. Run models on GPU infrastructure, from building containers and operating inference engines to managing the underlying compute capacity.
- Optimize inference performance. Work with the Applied Research team on techniques such as speculative decoding and serving-engine optimizations that improve latency, throughput, and cost.
- Build across a hybrid inference stack. Work with both Sierra-managed infrastructure and leading inference platforms, making architectural decisions about where and how workloads should run.
- Push the serving stack forward. Work closely with inference providers to tune engines and infrastructure for Sierra’s workloads.
- Support the broader model lifecycle. Contribute to infrastructure that enables post-training while partnering closely with our Models and Agent Runtime teams.
WHAT YOU'LL BRING
- Deep systems thinking and strong distributed systems fundamentals.
- Experience designing, building, and operating large-scale production systems.
- Strong judgment around tradeoffs involving latency, reliability, capacity, and cost.
- Experience taking ownership of complex infrastructure from architecture through production operation.
- Excitement about applying systems expertise to AI infrastructure and learning quickly as the underlying technology evolves.
EVEN BETTER
- Experience with ML infrastructure, MLOps, or production inference systems.
- Experience serving LLMs or other large models at scale.
- Experience operating self-hosted inference and GPU infrastructure.
- Familiarity with inference frameworks such as vLLM or SGLang.
- Experience with post-training infrastructure or inference-performance optimization.
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
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: Paris
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE MISSION
You will be the reference point for the most complex hardware interventions across our sites.
Mistral's compute is our largest investment and the foundation of frontier AI in Europe. As a Senior Data Center Hardware Engineer, you own the interventions that require the highest level of technical expertise: multi-node failures in production, full-rack deployments of GPU-dense systems, and vendor escalations where you speak as the technical authority for our sites.
You'll work end-to-end — compute, storage, interconnect, power and cooling interfaces — across our data center footprint, raising the bar on reliability as our capacity grows. This is a hands-on senior IC role: deep technical leadership and mentorship, no direct line management.
Location: Based at one of our data centers in the Paris region, with occasional visits to our other sites as needed.
WHAT YOU'LL DO
- Lead complex interventions — vendor-level and multi-node operations in production: full rack builds and bring-up, GPU-dense platform deployment (H100/H200-class and next-gen, including liquid-cooled racks), intricate recabling, post-restart diagnosis. You own the plan, the risk assessment, and the rollback.
- Own vendor management — coordinate repairs, part replacements and escalations directly with hardware vendors; hold them to their SLAs; drive proactive fixes from failure trends.
- Diagnose at depth — correlate symptoms across compute, storage, interconnect and cooling; read BMC/IPMI consoles, OS logs and crash dumps; methodical root-cause analysis that ends in concrete corrective actions.
- Deploy and validate — structured bring-up and validation of new racks and platforms; work with networking and infrastructure teams to take installations from delivery to production-ready.
- Lift the team — mentor and pair with L1–L3 engineers on live operations; turn your knowledge into SOPs, checklists and training material; propose and build small automation (Python/Bash) to shorten MTTR.
- Work the facility interface — partner with critical facilities/engineering ops on power, cooling (air and liquid), PDU and monitoring (BMS/EPMS) boundaries; enforce ESD/LOTO/PPE and audit-ready change discipline everywhere.
- Own spares & reliability — plan spares strategy, track fleet failure trends, and run proactive vendor actions before incidents happen.
ABOUT YOU
- 6+ years in data center / server hardware or L2/L3 hardware support, including complex hands-on work in production environments (HPC/AI/cloud at scale strongly preferred).
- End-to-end hardware expertise: CPU/memory/PCIe (incl. accelerators), NICs, PSUs, drives, network, power and cooling interfaces (DLC included); strong judgment on when and how to escalate.
- Diagnostics depth: confident with BMC/IPMI logs, Linux logs and CLI checks; structured root-cause analysis.
- Deployment experience: you've taken racks from delivery to production, with concrete examples to show for it.
- Vendor fluency: you've managed hardware vendors — RMAs, field replacements, escalations — to concrete outcomes.
- Impeccable safety and discipline: ESD/LOTO/PPE without exception; clean, labeled, auditable work.
- Communication & mentoring: clear status updates and handovers; able to coach engineers during live incidents with composure.
- Mobility: willing to visit our other sites in the Paris region as needed.
NICE TO HAVE
- GPU-dense platform experience: NVIDIA H-series (H100/H200) or GB-series rack deployments.
- High-speed interconnects (InfiniBand/RoCE), RAID/storage (NVMe/SAS/SATA), vendor tooling (iDRAC/iLO/IPMI).
- Automation (Python/Bash) for ops tooling and reporting; ticketing (Jira/ServiceNow), inventory/RMA flows.
- Hardware qualification, burn-in or factory validation background.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance.
WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device.
RESPONSIBILITIES:
- Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation
- Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints
- Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures
- Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems
- Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products
- Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power
QUALIFICATIONS:
- BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience
- Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data
- Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation
- Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces
- Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition
- Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods
- Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: Berlin
Workplace: OnSite
ABOUT PEEC AI
AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions.
Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office.
ABOUT THE ROLE
We’re looking for an AI Search Strategist to help our customers succeed in the new era of AI-driven search. In this role, you’ll work closely with leading brands and agencies, onboarding new clients and advising them on how to improve their visibility across search engines, AI assistants, and emerging generative surfaces. You’ll combine deep SEO expertise with a consultative approach, analyzing websites and search performance, running strategic advisory sessions, and translating business goals into actionable organic growth strategies. Working closely with Sales, Growth, and Product, you’ll also help shape how we enable customers and define best practices for succeeding in AI-powered search.
WHAT YOU’LL DO
- Onboard and activate new key clients, and educate them on how to best leverage Peec AI to become top-ranked in AI search
- Review websites, content, and search performance of key clients to identify AI-search-related opportunities across platforms (search, AI assistants, and emerging generative surfaces)
- Run advisory sessions with leading brands and agencies, turning their growth and brand goals into actionable GEO strategies and roadmaps
- Collaborate closely with Sales, Growth, and Product to refine activation journeys, case studies, and customer enablement programs
- Consult our mid-sized and enterprise clients on GEO-related topics, from overall strategy to hands-on operational execution
WHAT WE’RE LOOKING FOR
- 3–5 years of hands-on SEO or organic growth experience, ideally at a top-tier SEO agency
- Deep understanding of technical SEO, content strategy, search intent, and how organic performance translates into business outcomes
- Strong consulting skills: you’re used to advising clients, presenting strategic recommendations, and constructively challenging their thinking
- Ability to explain SEO concepts in simple, actionable language for marketing and brand teams
- Excitement about the shift from “10 blue links” to generative search, and motivation to be at the frontier of that change
- Confident verbal and written communication skills in English for high-quality client calls, workshops, and written recommendations
BONUS POINTS
- Experience building frameworks: SEO playbooks, content strategies, or measurement models for clients
- Initial experience with AI search
- Background working with enterprise and other high-touch clients
- Experience in a high-growth, venture-backed SaaS or marketing tech environment
- Confident verbal and written communication skills in German for high-quality client calls, workshops, and written recommendations
WHAT WE OFFER
- Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups
- Regular team events and offsites
- Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside
- Paid Meal and Uber rides home when working late
- One of the most beautiful office spaces and work environments in Berlin
ОфисseniorAuckland
ОфисSan Francisco, CA
ОфисSan Francisco, CA
ОфисSan Francisco, CA
ОфисseniorParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks