Задачи:
— Обрабатывать заказы с сайта: проверять состав заказа, наличие товаров и корректность информации, передавать заказы в работу следующим отделам.
— Работать с обращениями пользователей: помогать с оформлением заказов, разбираться с возникающими вопросами и ошибками.
— Создавать и редактировать карточки товаров: добавлять фото, характеристики и описания через админку, использовать нейросети для подготовки контента.
— Администрировать сайт: следить за актуальностью информации, выполнять настройки и операционные задачи.
— Взаимодействовать с командой проекта: передавать технические проблемы разработчикам и участвовать в решении вопросов, связанных с работой сайта.
Требования:
— Уверенное владение ПК.
— Умение быстро разобраться в новой программе, осваивать новые инструменты.
— Ответственность: самостоятельно вести задачи, соблюдать договоренности и доводить работу до результата.
— Внимательность: правильно сравнивать, анализировать, проверять информацию.
— Самостоятельность: умение разбираться в новых задачах, находить нужную информацию.
— Коммуникабельность: умение грамотно и доброжелательно общаться с пользователями, отвечать на вопросы и понятно объяснять информацию.
— Желание развиваться: интерес к IT и новым технологиям, готовность осваивать новые инструменты и постепенно брать на себя более сложные задачи.
Условия:
— Заработная плата: оклад 90 000 - 100 000 ₽ на руки, с возможностью пересмотра после испытательного срока до 120 000 ₽ на руки.
— Официальное трудоустройство по ТК РФ.
— График работы 5/2, с 9:30 до 18:00.
— Работа в офисе в Москве, м. Тушинская.
— Бесплатные горячие обеды, собственная кухня и повар.
— Собственная парковка для сотрудников.
— Обучение и постепенное погружение в технические процессы проекта.
— Перспективы профессионального и финансового роста.
Дополнительно:
— По мере развития проекта круг задач может расширяться, включая поддержку и администрирование сайта, работу с техническими заданиями, веб-дизайн, автоматизацию и настройку 1С, взаимодействие с командой разработчиков.
— Рассматриваются специалисты, заинтересованные в развитии в сфере IT, e-com, менеджмента и смежных направлениях.
участвовать в создании экспертного контента для отраслевых СМИ (Арендатор, Shop and Mall, CRE и др.); CustDev текущих клиентов для создания крутых кейсов;
Продавать комплексные IT-решения для бизнеса (торговое оборудование + ПО 1С/СБИС + услуги по настройке и маркировке «Честный ЗНАК»). Работать с клиентами в секторе B2B (ритейл, общепит, медицина, сфера услуг) по всей России.
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- Составление и реализация контент-плана в соответствии с позиционированием бренда; - Создание и публикация контента: генерация идей для сценариев охватных reels, рубрик, сторителла;
Активно искать и «открывать»: Заниматься холодным поиском (звонки, email-рассылки, соцсети, личные контакты) и обрабатывать входящие лиды со всех каналов (сайт, конференции, тендеры). Квалифицировать и «разогревать»: Проводить первичный аудит потребностей клиента, определять ЛПР, понимать структуру бизнеса и его потенциал для нас.
Мы ищем продуктового аккаунта, который станет связующим звеном между нашими партнёрами, продуктом и внутренними командами. Ключевая задача – сопровождать продукты в направлении здоровья: отвечать на запросы партнёров и коллег, разбирать спорные ситуации и контролировать, чтобы наши клиенты получали лучший сервис на рынке.
Задачи:
— Развивать продукты на основе медицинских данных.
— Создавать пользовательские сценарии, в которых медицинские данные превращаются в конкретную ценность: понимание состояния здоровья, выявление рисков, персональные рекомендации, профилактику и маршрутизацию.
— Развивать риск-профиль пользователя: определять продуктовую концепцию риск-профиля, какие риски оцениваем, какие данные используем, как показываем результат пользователю и как превращаем оценку риска в дальнейший сценарий заботы о здоровье.
— Строить слой медицинских данных совместно с медицинской, data- и технической командами, развивать систему сбора и структурирования данных из разных источников: анализов, заключений врачей, опросников, устройств, трекеров и медицинской истории. Работать над полнотой, актуальностью и качеством данных пользователя.
— Создавать персонализированные сценарии: использовать данные для персонализации продукта, кому предложить обследование, консультацию, повторный анализ или профилактический сценарий. Развивать механики регулярного обновления данных и возвращения пользователя в продукт.
— Работать на стыке Product × Medicine × Data × AI: формулировать продуктовые гипотезы и требования к алгоритмам вместе с врачами, аналитиками, Data Science и ML-командами. Определять, где достаточно правил и классической аналитики, а где AI/ML способен существенно улучшить пользовательский опыт.
— Отвечать за продуктовые метрики: определять North Star и систему метрик направления, включая покрытие пользователей медицинскими данными, полноту профиля, прохождение оценки рисков, конверсию в следующий шаг, повторное использование, retention и влияние на потребление медицинских сервисов.
Требования:
— Product Manager с сильным продуктовым мышлением, умеющий самостоятельно находить проблему, формировать продуктовую концепцию и доводить ее до работающего продукта.
— Понимание принципов работы AI/ML-продуктов или желание глубоко погрузиться в эту область.
— Способность работать с несколькими командами и большим количеством стейкхолдеров.
— Умение проектировать сложные пользовательские сценарии и делать их простыми для пользователя.
— Способность работать в условиях высокой неопределенности и самостоятельно формировать roadmap.
— Будет плюсом опыт в healthtech, medtech, AI/ML, персонализации или data-продуктах.
Условия:
— Сильная команда профессионалов.
— Возможность развития в команде ведущей MedTech-компании России.
— Уютный офис в БЦ Technopark Plaza с панорамным видом на город и гибридный график.
— Корпоративная техника.
— Медицинская программа, включающая телемед-консультации, очные приёмы в клиниках, психологов, стоматологию, лабораторные и инструментальные диагностики.
— Оплачиваемые курсы английского языка от ЯПрактикум.
— Поддержка активного образа жизни: корпоративные занятия сквошем, бегом, футболом в Москве или компенсация спортивного абонемента.
— СберУниверситет и оплата профильного обучения и курсов.
— Подписка СберПрайм, льготные условия ипотечного кредитования, скидки от партнёров.
— Возможность посещать профильные конференции и выступать на них.
— Коммуникация на "ты", отсутствие бюрократии, взаимопомощь.
Что ты получишь на старте:
Профессию с нуля
Персонального наставника
Постепенное погружение в профессию
Инструменты для работы
Экспертную поддержку
Возможность влиять на свой доход
Карьерные возможности
Чем предстоит заниматься:
Консультировать клиентов и подбирать подходящие варианты недвижимости;
Проводить встречи, показы и переговоры;
Привлекать новых клиентов;
Сопровождать сделки от первого обращения до их завершения;
Взаимодействовать с ипотечными и юридическими экспертами.
Наши ожидания от кандидата:
Клиентоориентированность и желание помогать людям;
Ответственность, пунктуальность и проактивность;
Нацеленность на высокий доход и результат;
Готовность обучаться и развиваться;
Опыт в продажах или работе с клиентами будет преимуществом;
Уверенное владение ПК.
Location: Paris
Workplace: Hybrid
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.
Our mission
Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity.
Operating context & accountability
Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support.
Key responsibilities — design and technical standards
- Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility.
- Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring.
- Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads.
- Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios.
- Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions.
- Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints.
- Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability.
Key responsibilities — commissioning and delivery assurance
- Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management.
- Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions.
- Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable.
- Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership.
- Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness.
Key responsibilities — field reliability and root-cause analysis
- Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites.
- Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes.
- Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations.
- Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring.
- Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance.
- Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required.
Key responsibilities — collaboration and leadership
- Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains.
- Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority.
- Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders.
- Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio.
What success looks like
- New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions.
- Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints.
- Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified.
- Field experience produces measurable improvements to future designs and live-site operating resilience.
Minimum qualifications
- At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions.
- Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other.
- Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management.
- Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists.
- Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel.
Preferred qualifications
- Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling.
- Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management.
- Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics.
- Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements.
- Professional engineering registration or equivalent technical credentials.
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: Иркутск
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Обязанности
* консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку
* продавать банковские продукты и услуги
* обучать клиентов пользоваться сервисами и продуктами Сбера
* проводить кассовые операции: прием, выдача, обмен денег
Требования
* имеешь образование среднее и выше
* активно используешь гаджеты
* доброжелателен и готов помогать клиентам
* готов использовать ИИ 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 в офисе нового формата рядом с домом или местом учебы
* 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.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification.
Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time.
You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI.
Key responsibilities
Build, lead, and scale a team of BDRs focused on the Enterprise segment
Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts
Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs
Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration
Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification
Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements
Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning
Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing
Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles
Minimum qualifications
Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization
A track record of building teams that prospect successfully into complex enterprise organizations
Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach
Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality
Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals
Clear written and verbal communication, including the ability to engage executive-level stakeholders
An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs
Excitement about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Personal closing experience as an Account Executive, Account Manager, ideally in a management role
Experience managing teams that prospect into Fortune 500 or Global 2000 accounts
A track record of developing BDRs who move successfully into enterprise Account Executive roles
Experience building enterprise prospecting playbooks where none existed
Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot
Experience in API-first, consumption-based, or platform business models
Background in AI or machine learning, cloud infrastructure, or developer platforms
Familiarity with enterprise procurement, security review, and legal processes
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$350,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.
About the Role
Fanatics Betting & Gaming is hiring a Sr. Manager, Strategy & Operations to work directly with VIP leadership on how we acquire, grow the loyalty of, and retain our highest-value customers.
This is a strategy and operations role built around owning outcomes end to end: from the strategy itself through execution to the measurable results it drives. The person in this role will use AI and technology as core working tools to help build the experiences that make our top customers choose Fanatics, whether they're playing or trading, over any other option in the market.
What you'll do
Partner directly with VIP leadership to define and execute strategy for acquiring, growing the loyalty of, and retaining top-tier customers
Run a variety of concurrent projects spanning analysis, strategy, partnerships, and hands-on build work, shifting between them as priorities shift
Own outcomes end to end: from strategy design through execution through measurable results
Learn the business inside and out, understand what actually drives our customers, and use that understanding to shape what gets built and why
Use AI and technology as core working tools to build models, analyses, and workflows that improve how the VIP team identifies, engages, and serves high-value customers
Work cross-functionally with Data, Product, Engineering, and Marketing to ship VIP initiatives
Operate within a highly regulated environment, with sound judgment on responsible gaming considerations built into strategic and operational decisions
Who you are
5-8 years of experience, with a technical or engineering-adjacent background
AI-native: you use AI tools daily, not occasionally, and can point to something you personally built or shipped with them, along with a measurable outcome, not just a tool you used
Comfortable with ambiguity, moving fast, and making calls with incomplete information in a high-growth environment
Able to move fluidly across different types of work, analytical, operational, relationship-driven, technical, prioritizing across competing demands and following through to completion rather than moving on once the interesting part is done
Able to drive outcomes across teams without formal authority, through persistence, relationship-building, and clear prioritization, not just by waiting for alignment
Bias toward speed and execution: moves fast, removes blockers, and keeps initiatives moving even when the path isn't fully defined
Data fluency: understands how our systems and data structures work, SQL or Python experience expected, not just reliance on AI to generate answers
Excellent communicator who can work directly with senior leadership
Demonstrated ability to scope a problem and strategy, not just execute a spec, including identifying what actually matters to the end user or business before building
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$133,000
—
$167,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us.
As an Engineering Manager for AI Platform, you will lead a team of engineers building the horizontal systems that make Harvey’s AI products higher quality, faster, and more cost-efficient. This includes eval and simulation infrastructure, model routing, open-source and post-trained model serving, new-model rollouts, and the document processing systems (OCR, embeddings, retrieval, and citations) that turn any file a lawyer gives us into something Harvey can read, find, and cite. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities. You will also set the technical direction for how teams across Harvey build, test, and ship AI features.
This role is equal parts technical depth and product intuition. You’ll be trusted to make fast, high-quality decisions, work at the cutting edge of applied AI, and grow a team that embodies engineering excellence.
We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we’d love to hear from you.
WHAT YOU'LL DO
- Lead and grow a team of engineers building the core AI platform that powers Harvey’s products
- Define the roadmap for shared AI infrastructure, including model routing, open-source and post-trained model serving, eval and simulation infrastructure, and large-scale document processing, embeddings, retrieval, search and citation systems
- Partner with Product, Research, Agent Platform, and product engineering teams to understand their needs and turn recurring patterns into reusable, well-documented platform primitives
- Build and scale offline eval and simulation infrastructure so teams can measure quality, catch regressions, and ship AI changes with confidence
- Drive reliability, latency, cost efficiency, and security across LLM-powered systems, including working with commercial and open-source model providers on capacity, rate limits, and new capabilities
- Evaluate and rapidly adopt new models, frameworks, and techniques, and decide what to build, buy, or adopt
- Contribute to code and architecture reviews, unblock teams, and lead by example when needed
- Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment
WHAT YOU HAVE
- 2+ years of experience in a tech-lead/software engineering management role leading ML/AI engineering teams, preferably in high-growth environments
- 5+ years of experience as a backend, infrastructure or ML/AI engineer
- A track record of leading high-performing, engaged engineering teams
- Experience building and operating production systems powered by LLMs (for example agents, retrieval, tool use, or evaluation pipelines)
- Experience building internal platforms or shared services that other engineering teams depend on, and partnering with cross-functional stakeholders to prioritize them
- Strong backend engineering skills in modern languages and framework and familiarity with distributed systems concepts
- Sound judgment on tradeoffs among quality, latency, cost, and speed of delivery in AI systems
- A plus: Experience with open-source model inference and serving, large-scale document processing, search, and retrieval systems, LLM observability and eval tooling, or working directly with foundation model providers
COMPENSATION
$272,000 - $355,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Remote: United States; San Francisco HQ; Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
About the Role
Billing is mission-critical to Render’s success. Every service, database, and workload that runs on Render ends up on an invoice, and customers trust us to get that invoice right. As Senior Engineering Manager for the Billing team, you’ll lead the organization that makes sure customers are billed accurately, reliably, and transparently as Render scales.
You’ll set the multi-quarter strategy and own the technical direction, people, and execution behind Render’s usage-based billing systems: how usage is captured, how it flows through our data pipelines and third-party billing platforms, and how it lands as a correct charge. You’ll be Engineering’s senior partner to Finance, Product, and Customer Experience leadership, turning pricing, reporting, and customer needs into a roadmap your team can ship.
This role is for a seasoned technical leader who wants to build the organization, the leaders, and the systems that keep billing right as usage, pricing, and our customer base keep growing.
What You’ll Do
- Lead and grow the Billing engineering team, which owns how Render turns platform usage into accurate charges: usage capture, data pipelines, third-party billing platforms (Orb, Metronome, Stripe, or similar), and invoicing
- Own the roadmap for Render’s billing systems, from usage metering through invoicing, reconciliation, and financial reporting
- Drive billing correctness and reliability: build the monitoring, reconciliation, and testing that catch errors before customers do
- Partner with Finance, Product, and Customer Experience to align the roadmap with pricing, reporting, and customer needs
- Hire and develop engineers to support planned team growth, while keeping the team’s focus clear as billing scope expands
- Make key architectural decisions, balancing long-term billing platform investment against near-term pricing launches and fixes
- Build a strong performance management and career development practice for a team that includes senior ICs
What We’re Looking For
- Strong people leadership — the top priority for this role
- Hands-on enough to review code, prototype, and contribute directly when it helps the team
- Comfort operating in ambiguity, with adaptability and a growth mindset
- Proven experience building and scaling teams, ideally growing a group from a handful of engineers into a larger org
- Experience managing engineers; including senior and staff engineers; hiring, and performance management
- Hands-on experience with usage-based billing, payments, or other revenue-critical systems, including third-party platforms like Orb, Metronome, or Stripe
- Ability to partner closely with Finance, Product, and Customer Experience without needing to fill those functions yourself
- Strong business instincts, with the ability to connect engineering investment to billing accuracy, revenue, and customer trust
- Background from either a startup or a larger company is fine. What matters is experience and ability to operate in a fast-paced environment
Nice-to-Haves
- Experience leading a billing platform migration or a pricing model change.
- Familiarity with financial reconciliation and reporting processes.
- Background in distributed systems or event-driven architectures.
- Experience building for developer platforms, cloud infrastructure, or DevTools.
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
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Location: Colombia; Argentina; Brazil
On behalf of
WorkforceTech Client #1
, SD Solutions is looking for a talented
Professional Services Manager
(combining Online and Offline aspects) to deliver exceptional customer onboarding and configuration support.
You will meet clients on video calls to understand how their business operates and configure the system together with them in real time — acting as a trusted guide who keeps things clear, simple, and practical, even for non-technical users. At the same time, you will work behind the scenes on execution: receiving clear requirements and ensuring the system is configured accurately, completely, and ready to use before the customer logs in.
Your goal is straightforward: When the interaction ends (whether live call or backend task), the customer’s account is fully usable for daily operations — nothing half-done. Your work prevents rework, confusion, and customer frustration.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Lead live onboarding and training sessions with customers via video calls (Zoom / Google Meet), understand their business workflows, and configure the system in real time
Configure Connecteam based on provided requirements (both live and offline): time clocks & attendance rules, schedules & shifts, PTO & payroll policies, forms, checklists, permissions, groups & roles
Build and set up schedules, rules, forms, templates, and policies
Upload and manage employee data accurately (via Excel/CSV imports, data migrations from other systems)
Assist customers with data transitions (e.g., importing schedules from Excel)
Perform QA and thorough review of setups before go-live; identify blockers and missing inputs early
Advise customers on best practices to ensure successful adoption
Clearly document everything configured and any remaining action items
Coordinate closely with Customer Success, Online/Offline teams, and other departments for smooth handoffs and follow-ups
Ensure the customer’s account is fully ready for daily operations immediately after onboarding
Requirements:
1+ year of experience in SaaS onboarding, implementation, professional services, technical support, or back-office configuration (required)
Strong technical aptitude and exceptional attention to detail
Native or near-native English level with excellent presentation and communication skills
Confidence working directly with customers (often non-technical frontline managers)
Ability to break down complex requirements into clear, actionable steps
Highly organized, consistent, and reliable
Fast learner, very tech-savvy, quick to master new tools and systems
Comfortable working US hours (CST/EST time zone) – required for live calls
Previous experience with SaaS configuration, operations, or back-office support – big plus
Shared Tools & Stack:
Connecteam platform (web + mobile, online/offline capabilities)
Excel/CSV for data uploads
Task & project management: Monday.com, Trello, etc.
CRM: HubSpot (familiarity)
Video conferencing: Zoom / Google Meet
Documentation: Notion, Google Docs
AI tools are encouraged and welcomed to boost efficiency
About the company:
A B2B SaaS platform that gives frontline businesses — restaurants, retail chains, cleaning companies, laundries — a single tool to manage their hourly workforce. Features span time clocks, shift scheduling, PTO policies, payroll exports, digital forms, checklists, and permission-based roles for both desktop and mobile use.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
География найма не уточнена
ГибридParis; 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
San Francisco, CA | New York City, NY
seniorNew York, NY, United States
San Francisco
УдалённоseniorRemote: United States; San Francisco HQ; Remote: Canada
УдалённоColombia; Argentina; Brazil; Comfortable working US hours (CST/EST time zone) – required for live calls
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