О проекте:
Развитие Платформы по работе с большими данными.
ML моделирование в области: B2C, B2B, B2O, Инвестиционного планирования.
Стек:
Языки/библиотеки: Python (pandas), SQL, Spark;
BI-инструменты.
Что мы ожидаем:
Высшее образование (в области математики, статистики, компьютерных наук, экономики или смежных дисциплин).
Опыт работы от 3-х лет в области аналитики данных или Data Science.
Опыт менторства/ управления командой.
Технические навыки:
Владение языком программирования Python.
Навыки работы с SQL для работы с базами данных.
Опыт работы с инструментами визуализации (Grafana, Apache Superset и др.).
Базовые знания в области Machine Learning (классификация, регрессия, кластеризация).
Опыт работы с большими данными (например, Spark, Hadoop) будет плюсом.
Бизнес-навыки:
Умение работать с бизнес-требованиями и преобразовывать их в технические задачи.
Навыки интерпретации сложных технических метрик для бизнес-пользователей.
Умение выявлять точки роста и предлагать улучшения на основе данных.
Личные качества:
Аналитический склад ума, внимательность к деталям.
Коммуникабельность и умение работать в команде.
Проактивность и готовность брать ответственность за проекты.
Чем предстоит заниматься:
Анализ бизнес-требований.
Взаимодействие с заказчиком для определения целей проекта и ключевых бизнес-показателей.
Перевод бизнес-задач в технические требования для команд аналитики и Data Science.
Работа с источниками данных: поиск, доступ и работа с системами-источниками данных.
Ведение документации по структуре и качеству данных.
Выявление узких мест в системах источников данных совместно с заказчиком.
Обработка и подготовка данных: анализ данных на предмет релевантности, очистки, трансформации и выявления аномалий.
Взаимодействие с командой Data Science для оптимизации процессов подготовки данных.
Аналитика и выявление закономерностей: проведение статистического анализа и визуализация данных.
Поиск закономерностей, трендов и аномалий в данных.
Разработка гипотез и проведение тестов: формулирование гипотез, связанных с прогнозированием и анализом данных.
Организация и проведение A/B-тестов или других методов проверки гипотез для подтверждения идей.
Поддержка разработки ML-моделей: оценка применимости данных для ML-подходов.
Помощь в сборе и формировании признаков (фич) для моделей прогнозирования.
Коммуникация с командой Data Science и бизнесом: передача и разъяснение бизнес-требований для команды Data Science.
Помощь в интерпретации результатов анализа и моделей в контексте бизнес-целей.
Разработка дашбордов и визуализация данных: создание, поддержка и оптимизация дашбордов для мониторинга ключевых метрик и результатов моделей.
Использование инструментов визуализации (например Grafana, Apache Superset) для наглядного представления данных и выводов.
Мониторинг результатов моделей: регулярный анализ эффективности моделей и их влияния на бизнес-процессы.
Проведение пост-исследований для оценки долгосрочного воздействия внедрённых решений.
Условия:
Удаленный или гибридный формат работы.
Возможность принимать участие в конференциях, проходить обучение за счет компании.
Полностью "белая" заработная плата: оклад + годовая премия.
Кафетерий льгот.
Гибкий график работы: начало работы с 08:00 до 10:00 МСК, окончание - с 17:00 до 19:00 МСК, выходные Сб-Вс.
Задачи:
— Автоматизировать процессы сборки, поставки и развертывания компонентов продукта
— Автоматизировать выдачу результатов продукта конечным потребителям, включая перевод текущих ручных процессов в автоматизированный формат
— Настраивать и развивать CI/CD-процессы для нескольких взаимосвязанных компонентов
— Автоматизировать поставку компонентов в витрины/целевые контуры
— Оптимизировать процессы сборки и доставки продукта с учетом требований к надежности и скорости поставки
— Участвовать в доработке и реализации технических требований, направленных на повышение надежности и критичности продукта
— Поддерживать и развивать инфраструктурные решения, необходимые для стабильной работы продукта
— Взаимодействовать с командами разработки, тестирования и эксплуатации для выстраивания эффективного процесса поставки
Требования:
— Опыт создания и администрирования кластеров Kubernetes
— Опыт написания автоматизации на ansible и jenkins
— Опыт администрирования Linux
— Понимание принципов работы виртуализации/контейнеризации
— Опыт в построении и поддержке отказоустойчивых систем
— Знание работы современных сетей
Будет плюсом:
— Разработка/умение читать golang-код
— Понимание REST API, gRPC, WebSocket, HTTP
— Умение автоматизировать тесты
— Опыт работы с VictoriaMetrics и Grafana
— Опыт работы с Keycloak
— Опыт работы с Hadoop, Ozone, Spark, Flink
— Опыт администрирования СУБД PostgreSQL
— Опыт отладки и профилирования приложений
Условия:
— Внутренние семинары, митапы, обучение новому
— ДМС со стоматологией для сотрудников и скидка на покупку ДМС для ближайших членов семьи
— Техника для комфортной работы
— Сессии профессионального развития персонала с планом индивидуального развития каждого сотрудника
Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine
Why Kimchi?
Great models are raw ingredients. Kimchi is what happens when you ferment them with good engineering. We started inside CAST AI helping companies run LLMs on their own Kubernetes clusters; today we run our own coding harness on any LLM you pick.
Kimchi Studio
Studio is where your team's agents work together: a desktop app that brings autonomous coding agents, model orchestration, and your entire toolchain into one collaborative UI. Multiple agents on separate branches side by side with native git worktree support. Every agent action visible, diffable,
and undoable. Local first on your machine, remote sessions when you need them.
You'll own features end to end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions.
You might be a fit if…
You've personally driven a complex product feature from idea to shipped, and you can tell that story with receipts.
You're a full-stack engineer: TypeScript where the product lives (Electron/React UI, Node services) and Go where the backend lives. Strong in one, ready to go deep in the other, and honest about which is which.
You have deep debugging and performance instincts: when the app janks or a query slows down, you find the cause through query profiles and flame graphs.
You care about UX, speed, and polish. In a desktop app every millisecond is visible, and you push back when something feels wrong.
Bonus:
shipping Electron apps at scale (updates, code signing, multi-platform builds), Kubernetes internals, or building your own AI workflows and harnesses at home.
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
We’re looking for a Corporate Accounting Manager to support the general ledger, the close, and our accounting processes and controls as Baseten scales. This is a hands-on, individual-contributor role for someone who wants full ownership of the core accounting function at a company where the entity structure, transaction volume, and reporting requirements are growing quickly.
You’ll join the corporate accounting team and take on the general ledger, vendor contract review, the close calendar, and our internal control environment as the business grows. We are focused on tightening close procedures, strengthening controls, and building reporting rigor to support the scale ahead. You’ll partner closely with FP&A, Data, and cross-functional partners to make sure the books close on time and accurately every cycle.
Baseten is building the infrastructure layer for AI-native companies, and we're scaling quickly - in headcount, entity structure, transaction volume, and contract complexity and volume and vendor size. If you want real ownership over a growing function on a lean team, this role offers real scope.
RESPONSIBILITIES
General Ledger and Financial Reporting
- Own day-to-day execution of general ledger journal entries, account reconciliations, and monthly financial statement preparation as the entity structure grows
- Own recurring close areas, including accruals, prepaids, fixed assets, and equity compensation
- Lead month-end and year-end close, setting the calendar and holding FP&A, Data, and cross-functional partners so the books close on time every cycle
- Prepare and review monthly financial statements and flux analysis for accounting and finance leadership
- Identify and automate the manual, error-prone steps that slow the close down
Controls and Audit
- Partner directly with cross-functional teams and external auditors to keep internal controls tight and the company audit-ready
- Own audit deliverables, including technical accounting memos, schedules, and sample testing support
Systems and Cross-Functional Partnership
- Support day-to-day administration and maintenance of our accounting systems stack, including NetSuite and our spend management platform, and push for automation over manual workarounds
- Partner with FP&A on reporting, forecasting inputs, and variance analysis
- Support FP&A, Legal, and Procurement on the accounting implications of new entities, contracts, and programs
REQUIREMENTS
- 5+ years of progressive accounting experience, including 3+ years focused specifically on corporate accounting, general ledger, and close management
- Deep working knowledge of US GAAP across core corporate accounting areas, including accruals, prepaids, fixed assets, debt and leases
- Hands-on experience owning account reconciliations and preparing monthly financial statements
- Experience owning the close calendar directly, not just contributing to a close run by someone else
- Public company or audit-ready private company experience (Big 4 or industry, with audit exposure)
- Builder mentality with a bias toward execution; comfortable operating on a lean team relative to company scale
- Experience with NetSuite (or comparable ERP) and a modern spend management platform
- Based in San Francisco or New York, with the ability to work in-person 3+ days per week
NICE TO HAVE
- Experience at a high-growth, venture-backed infrastructure or cloud company
- Experience supporting multi-entity or international consolidations
- Integrate AI tools to optimize/redesign workflows and drive measurable impact
- CPA
- Exposure to SOX or SOX-readiness controls work
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: EMEA; European Union
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
About the role
Kimchi is building products at the frontier of how engineering organizations adopt and operate AI — across AI coding and agents, inference, model orchestration, governance, and the infrastructure that makes all of it work reliably at scale.
This is a highly dynamic space. Customer expectations, technology capabilities, competitors, and even the problems worth solving are changing quickly.
That means we’re looking for a Senior Product Manager who is exceptionally good at working before the problem is well defined.
You won’t inherit a neat backlog of customer requirements and execute against it. You’ll be expected to explore emerging problem spaces, talk to customers, understand technology shifts, connect weak signals, form hypotheses, and decide which problems are important enough for Kimchi to solve.
A large part of the job is turning ambiguity into clarity while operating in a dynamic greenfield environment.
You’ll work closely with engineering, design, customers, and
GTM
to take promising opportunities from an initial insight through validation, 0→1 product development, adoption, and iteration.
What we're looking for:
Significant experience owning software products end-to-end, with the judgment and independence expected from a Senior Product Manager.
Strong 0→1 experience. You have personally taken products or significant product areas from an unclear opportunity through discovery, validation, launch, and iteration.
A track record of navigating ambiguity. You can give examples where neither the problem nor the solution was obvious at the beginning and explain how you created clarity.
Excellent problem selection and product judgment. You don’t just solve problems well; you are deliberate about deciding which problems are worth solving in the first place.
Experience working in greenfield, rapidly changing, or emerging domains where information is incomplete and plans frequently need to change.
Strong customer discovery skills. You can go beyond what customers ask for and uncover the underlying problem, context, and behavior.
Strong analytical thinking. You are comfortable combining qualitative evidence, product data, market signals, and technical constraints to make decisions.
Strong written and verbal communication. You can simplify complex topics without oversimplifying the underlying problem.
Experience working closely with highly technical engineering teams and enough technical curiosity to understand the systems you are building.
A bias toward experimentation and learning rather than large upfront plans.
Comfort making decisions with imperfect information and changing your mind when new evidence emerges.
Hands-on use of modern AI tools in your own work. You should be actively exploring how LLMs and agents change both the products we build and the way product work itself gets done.
What would make you stand out:
You don’t need to check every box, but we’d be especially interested if you have experience with one or more of:
Developer tools or products built for software engineers
AI/ML products, LLM infrastructure, AI agents, or AI-powered developer tools
Infrastructure, platforms, APIs, or technically complex B2B products
Products where the primary challenge was discovering product-market fit rather than optimizing an established product
Early-stage startups or new product initiatives inside larger companies
Enterprise products where you have had direct access to customers during discovery and product development
Responsibilities:
Identify problems worth solving.
Explore customer needs, usage data, technology shifts, competitive products, and market signals to determine where Kimchi should invest.
Turn ambiguity into product direction.
Take broad or poorly understood opportunities and structure them into clear problems, hypotheses, assumptions, and experiments.
Lead 0→1 product development.
Move from an insight or hypothesis to a real product that customers can use, learn from, and ultimately depend on.
Validate before scaling.
Find the fastest way to test whether a problem matters and whether our proposed solution creates meaningful value. Be equally comfortable investing further or killing an idea when the evidence says we should.
Make hard prioritization decisions.
There will always be more interesting opportunities than we can pursue. You’ll decide what deserves attention now, what can wait, and what we should deliberately not build.
Work directly with customers.
Run discovery, observe workflows, understand underlying motivations and constraints, and distinguish individual requests from broader problems.
Partner deeply with engineering and design.
Shape solutions collaboratively. Understand enough of the technology to explore possibilities and trade-offs with strong technical teams.
Define what success means.
Establish the customer and business outcomes we expect, determine how to measure them, and use evidence to guide subsequent decisions.
Drive adoption, not just launches.
Stay accountable after something ships. Understand whether customers are discovering it, using it repeatedly, getting value from it, and why.
Communicate clearly.
Write concise product narratives, one-pagers, PRDs, and decision documents that make complex problems understandable and align teams around what matters and why. We are a distributed team, so exceptional writing skills are essential for every member.
Help shape Kimchi itself.
This is still a rapidly evolving product and organization. You’ll influence not only individual features, but how we think about the product, our customers, and the market.
What’s in it for you?
Competitive salary
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Remote - Japan
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Alpaca Japan is the Japanese subsidiary of Alpaca, a U.S.-based fintech group, and is registered as a Type I Financial Instruments Business Operator with the Kanto Regional Finance Bureau (Registration No. 3024). We provide securities trading infrastructure and operational services to financial institutions in Japan.
As our business and product offerings continue to expand, we are seeking a Securities Operations Specialist to oversee back-office operations, primarily for Japanese equity trading.
In this role, you will be responsible for a broad range of day-to-day brokerage operations, including settlement, cash movements, position and balance reconciliation, corporate actions, and customer account administration. You will also work closely with global teams and external stakeholders, to ensure accurate and stable operations and continuously improve operational processes.
We are looking for someone who can proactively identify issues, take ownership, and collaborate effectively with relevant stakeholders in a fast-paced startup environment.
Key Responsibilities:
Manage end-to-end back-office operations for Japanese equity trading, including post-trade processing, clearing and settlement, delivery of securities and funds, deposits and withdrawals, and position and cash reconciliation
Manage customer account opening and ongoing account administration
Oversee the segregation of customer assets and prepare or review statutory books and records, customer statements, and regulatory reports
Manage corporate actions, including dividends, stock splits, and shareholder benefits, as well as related tax and withholding operations
Coordinate with counterparties, clearing and settlement institutions, custodians, and other external stakeholders
Handle and escalate operational issues, exceptions, and trade discrepancies
Establish and improve operational processes, procedures, and internal control frameworks
Communicate in English with global teams, including teams based in the United States
Qualifications (required):
At least three years of hands-on experience in Japanese equity back-office operations at a securities firm, with practical knowledge of areas such as post-trade processing, clearing and settlement, cash and position management, securities accounting, customer accounts, segregation of customer assets, and corporate actions
Understanding of the Japanese securities market and its clearing and settlement framework, including the Japan Securities Depository Center (JASDEC)
Practical experience with, or knowledge of, statutory books and records and regulatory reporting
Business-level proficiency in both Japanese and English. English proficiency must be sufficient for business communications by email and chat, reviewing documents, and participating in meetings
Ability to manage multiple responsibilities accurately, take initiative, and work effectively with relevant stakeholders
Qualifications
(
preferred):
JSDA Internal Control Manager qualification
Knowledge of Japan-specific account structures and tax regimes, including NISA and specified brokerage accounts
Middle and back-office experience with Japanese and foreign equities, particularly Japanese equities
Experience launching new services or establishing and improving operational frameworks
Experience working in a startup or other fast-paced environment
Experience improving operational efficiency, including through system changes
Language Requirements:
Ability to perform business responsibilities in both Japanese and English
Work Conditions:
Full-time employee
In-office attendance is required for system access around 3 times a week.
職種名:
証券オペレーションスペシャリスト(日本株)
職務概要:
Alpaca Japanは、米国発のフィンテック企業Alpacaグループの日本法人であり、関東財務局長(金商)第3024号登録の第一種金融商品取引業者です。日本の金融機関向けに、証券取引に関するインフラおよびオペレーションサービスを提供しています。事業および取扱商品の拡大に伴い、日本株取引を中心とした証券バックオフィス業務を担うオペレーションスペシャリストを募集します。
本ポジションでは、日本株の決済、入出金、残高照合、コーポレートアクション、顧客口座管理など、証券会社における日々のオペレーションを幅広く担当していただきます。また、米国を含むグローバルチームや社内外の関係者と連携し、正確かつ安定的な業務運営およびオペレーションプロセスの改善に取り組んでいただきます。
変化の速いスタートアップ環境において、自ら課題を発見し、関係者と連携しながら主体的に業務を進められる方を求めています。
主な業務内容:
日本株取引に関するバックオフィス業務全般(約定後処理、清算・決済、証券・資金の受渡し、入出金および残高照合)
口座開設・顧客管理業務
顧客資産の分別管理ならびに法定帳簿、顧客向け帳票および当局報告への対応
配当、株式分割、株主優待等のコーポレートアクションおよび税務・源泉徴収に関する業務
取引先、決済機関、カストディアンその他の外部関係者との連携
オペレーション上の問題や例外取引への対応およびエスカレーション
業務プロセス、手順書および内部管理体制の整備・改善
米国を含むグローバルチームとの英語によるコミュニケーション
応募資格:
<必須>
証券会社における、3年以上の日本株取引に関するバックオフィス業務全般経験(約定後処理、清算・決済、入出金・残高管理、証券会計、顧客勘定および分別管理、コーポレートアクション)の実務経験・知識
日本の証券市場および証券保管振替機構を含む清算・決済制度に関する理解
法定帳簿および当局報告に関する実務経験または知識
ビジネスレベルの日本語・英語力(英語は、メール・チャット、資料の読解、会議での業務上のコミュニケーションができること)
複数の業務を正確に管理し、関係者と連携しながら主体的に対応できること
<あると望ましい>
内部管理責任者資格
NISA・特定口座など、日本固有の口座・税制に関する知識
日本株式・外国株式、特に日本株式のミドル・バックオフィス業務経験
新規サービスの立ち上げやオペレーション体制の構築・改善に携わった経験
スタートアップまたは変化の速い環境での勤務経験
システム変更等、業務効率改善経験
言語:
日本語および英語の両方で業務遂行が可能
勤務条件:
正社員
リモート勤務可能だが、週に数回程度システム利用のための出社が必要
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
В рамках данной позиции предстоит заниматься проектированием и разработкой AI-агентов, включая реализацию сценариев, оркестрацию, вызов инструментов и интеграцию с внутренними сервисами. Необходимо преобразовывать прототипы и модели Data Science в стабильные промышленные решения, обеспечивая их упаковку, интеграцию в сервисы и пайплайны, версионирование и сопровождение. Работа включает разработку на Python сервисов, библиотек и пайплайнов, написание автотестов и участие в код-ревью. Также требуется проектировать, создавать и поддерживать витрины данных для ML-моделей и агентов, обрабатывать большие объемы данных с использованием SQL, Hadoop и Spark, оптимизировать запросы и вычислительные задачи. Важной частью является обеспечение качества и наблюдаемости решений через логирование, мониторинг, обработку ошибок и контроль качества данных. Кандидат должен иметь опыт промышленной разработки на Python не менее двух лет, уметь писать поддерживаемый код с типизацией, тестированием, обработкой ошибок и логированием, а также уверенно владеть SQL, включая сложные запросы, оконные функции и оптимизацию. Требуется опыт построения и сопровождения ETL/ELT-пайплайнов и витрин данных, а также опыт вывода сервисов, моделей или data-продуктов в промышленную эксплуатацию. Необходимо понимание принципов работы AI-агентов, включая оркестрацию, вызов инструментов, управление состоянием и интеграцию с API, а также жизненного цикла ML-модели от артефакта и данных до инференса, мониторинга и обновления. Будет преимуществом опыт разработки AI-агентов с использованием LangGraph, LangChain, LlamaIndex или собственного оркестратора, а также опыт работы с LLM, RAG и векторными хранилищами. Дополнительным плюсом считается опыт оркестрации пайплайнов в Airflow или аналогичных системах, работы с Kafka и событийными архитектурами, знание Docker, CI/CD и Kubernetes, практический опыт с Hadoop и Spark, внедрение ML- или LLM-сервисов во внутреннем контуре, а также опыт в банковском домене, продуктах для юридических лиц или документообороте. Формат работы — офис или гибрид в Москве.
Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a
Senior Data Engineer who in addition to building and owning data pipelines will also drive the design and technical leadership within the data engineering team.
This is a hands-on data engineering role, focused on designing, implementing, and maintaining reliable data flows for analytics and machine learning. Infrastructure, cloud, and Kubernetes are used only as tools to run pipelines reliably and cost-efficiently — this is not an SRE or platform engineering role.
You’re welcome to work in our offices in Tel Aviv, Israel.
Your responsibilities will include:
Core Responsibilities (Primary Focus)
Design, build, and own production-grade data pipelines using Python and SQL.
Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions.
Implement data transformations, validation, and data quality checks.
Optimize pipelines for performance, reliability, and cost efficiency.
Collaborate closely with Analytics, Data Science, and ML teams to deliver trusted datasets.
Supporting Infrastructure (Secondary Focus)
Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent).
Package and run data workloads using Docker and deploy them on Kubernetes.
Use autoscaling and Spot / Preemptible compute for efficient pipeline execution.
Build CI/CD automation for data pipelines.
Use Infrastructure as Code only to provision and manage the infrastructure required to run pipelines.
We expect you to have:
8+ years of experience as a Data Engineer, primarily focused on building data pipelines.
6+ years of hands-on experience with Python and SQL.
3+ years of experience running workloads on Kubernetes.
Strong understanding of stateless system design and idempotent data processing.
Experience building and operating data pipelines in cloud environments.
Experience with workflow orchestration frameworks.
Strong Linux fundamentals and production debugging skills.
Working knowledge of spoken and written English
It will be an added bonus if you have:
Experience contributing to or working extensively with open-source software.
Experience building data pipelines using Apache Spark or similar distributed processing frameworks.
Experience building data pipelines that support machine learning workflows.
Familiarity with cost-optimized data processing (e.g., Spot / Preemptible compute).
Experience with relational and non-relational data stores.
Experience working with large-scale or high-reliability data systems.
Experience collaborating with strong Data Science and ML teams.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Задачи:
— Решать конкретные задачи с данными и пайплайнами, а не просто переливать данные.
— Взаимодействовать с аналитиками и менеджерами, отвечать на вопросы и брать ответственность.
Требования:
— 4+ лет коммерческого опыта в роли Data Engineer / ETL-разработчик.
— Сильный SQL.
— Уверенный Python для обработки данных и простых сервисов.
— Опыт с Spark или аналогом.
— Базовый опыт с Kafka.
— Проактивность: видеть проблемы и возможности в данных/пайплайнах и предлагать улучшения.
Условия:
— Трудоустройство по ТК РФ.
— Удаленная работа из любой точки мира или в офисах в Москве или Санкт-Петербурге.
— Культура свободы и ответственности.
— Оплачиваемое обучение: курсы, конференции, профильная литература, софинансирование английского в Skyeng.
— Забота о сотрудниках: ДМС с первого дня, включая стоматологию, поддержка ментального здоровья через Alter.
В Яндекс Практикуме ищут наставника на курс «Основы Apache Kafka». Наставник сопровождает студентов, отвечает на вопросы в чате, помогает с трудностями на протяжении всего обучения. Проводит воркшопы — онлайн-занятия по шаблону с активным участием студентов, модерирует диалог и отвечает на вопросы. Помогает студентам ставить цели, рефлексировать, делать выводы и быть самостоятельными. Проводит Q&A-сессии — онлайн-занятия свободной формы, где студенты задают вопросы по инструментам и их использованию.
Требования:
— Глубокое знание языка Python, Go или Java.
— Понимание и опыт работы с Apache Kafka, Kafka Connect, Kafka Streams.
— Опыт интеграции Kafka с Apache Spark, Apache Flink, Apache Hadoop.
— Опыт интеграции Kafka с базами данных PostgreSQL, Cassandra и др.
— Знание Kafka MirrorMaker, Kafka REST Proxy, Schema Registry, Kafka Connect UI.
— Будет плюсом опыт написания учебных материалов.
Условия:
— Удалённое сотрудничество.
— Частичная занятость около 15 часов в неделю.
— Вознаграждение около 15 000 ₽ в месяц.
— Возможность освежить знания, реализовать потенциал и влиять на качество образования.
— Развитие мягких навыков: публичные выступления, обратная связь, объяснение сложных вещей простыми словами, формирование безопасной образовательной среды.
— Бесплатное обучение в Школе наставников и плавное погружение в сотрудничество.
— Выдача сертификатов о социально-полезной деятельности.
— Возможность писать статьи и участвовать в конференциях, мероприятиях и подкастах Яндекс Практикума.
Location: Melbourne, Victoria, Australia
At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an environment that champions curiosity, collaboration, and innovation, all while making meaningful contributions to the brands we accelerate.
Join us in shaping the future of communication and building authentic connections that matter. Whether you're solving complex problems or driving bold innovations, your growth is our success, and together, we’ll create the conversations of tomorrow.
Empower your impact at Cision. Be seen, be understood, be you.
At Brandwatch, our Sales Development team is at the forefront of generating business opportunities. As a Sales Development Representative (SDR), you’ll play a crucial role in building our pipeline. Your mission will be to research and engage with potential accounts, aiming to schedule meetings that convert into qualified sales opportunities.
What you will do:
Be the face of Brandwatch, you are the first point of contact to engage our potential customers;
Stay up to date on industry news and understand the social media landscape;
Become an expert on our brand, business, and SaaS product;
Work closely with the Account Executive team to build a sales pipeline and drive revenue through new business opportunities
How you will do it:
Generate leads and build relationships by nurturing warm prospects and finding new potential customers, using Salesloft, Salesforce, LinkedIn, Cognism, Gong and other platforms;
Make an average of 100 outbound activities to prospects daily, with the goal of scheduling platform walk-throughs and starting the sales process;
Manage and maintain a pipeline of interested prospects and engage sales executives for next step;
Engage in training and development programs.
What you will have:
A background in sales (sales and/or BDR and SaaS experience preferred)/ recruitment or just a passion to develop your career in sales;
Excellent written and spoken English skills;
Motivation and determination to succeed paired with positive mindset that allow you (over)reach your targets;
Ability to execute and take responsibility;
Coachability and self-awareness;
Team player attitude because we believe the teamwork makes the dreamwork;
Ability to thrive in a quota driven environment with short and dynamic sales cycles.
What we offer:
Clearly defined career path- We offer a transparent growth plan with the potential to advance to an Account Executive role or explore different career paths within the company.
This could include opportunities in leadership, account management, or customer success;
Buddy setup to help you onboard and beyond;
A competitive compensation package featuring a solid base salary and an uncapped commission model designed to drive and reward your success;
A place in a high performing sales team at a growth-driven company;
An open, informal, diverse and multinational working environment;
25 days of PTO per year to promote a healthy work-life balance, plus 1 Wellness Day per quarter on top of your holiday allowance;
Full Headspace subscription and 24/7 Employee Assistance program;
Hybrid working model- 3 days in the office (Tuesday, Wednesday & Friday). Located on Flinders Street directly across the road from the train station in a vibrant location. When you’re in the office, you can enjoy a wide variety of soft drinks and snacks as well as participate in the highly regarded table tennis tournaments.
Cision is the global leader in consumer and media intelligence, engagement, and communication solutions. We equip PR and corporate communications, marketing, and social media professionals with the tools they need to excel in today's data driven world. Our deep expertise, exclusive data partnerships, and award-winning products, including
CisionOne
,
Brandwatch
, and
PR Newswire
, enable over 75,000 companies and organizations, including 84% of the Fortune 500, to see and be seen, understand and be understood by the audiences that matter most to them.
Cision is committed to fostering an inclusive environment where all employees can be their authentic selves and perform at their best. We believe diversity, equity, and inclusion is vital to driving our culture, sparking innovation and achieving long-term success. Cision is proud to have joined more than 600 companies in signing the
CEO Action for Diversity & Inclusion™ pledge
and named a “Top Diversity Employer” for 2021 by
DiversityJobs.com
.
Cision is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other protected statuses.
Cision is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Cision will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact hr.support@cision.com
Cision, Inc. "the Company" only communicates with candidates and extends job offers through direct channels, not third parties.
Please review our
Global Candidate Data Privacy Statement
to learn about Cision’s commitment to protecting personal data collected during the hiring process.
Требования:
— Экспертный опыт администрирования Linux
— Опыт сопровождения высоконагруженных distributed systems
— Глубокое понимание S3/Object Storage и distributed storage architecture
— Опыт сопровождения Kubernetes-платформ
— Практический опыт эксплуатации компонентов Data Lake: Apache Spark, Airflow, Flink, Kafka, Apache Iceberg
— Опыт эксплуатации MinIO / Object Storage решений
— Понимание replication, erasure coding, consistency, fault tolerance
— Практический опыт troubleshooting: CPU, RAM, network, disk I/O, latency, throughput
— Опыт работы с observability stack: Prometheus, Grafana, alerting, log analysis
— Опыт автоматизации: Ansible, Terraform, Bash, Python
— Понимание incident/problem management и SRE-практик
— Навыки RCA, postmortem analysis и повышения reliability платформ
Задачи:
— Сопровождение и эксплуатация Data Lake платформ
— Поддержка S3/Object Storage инфраструктуры
— Мониторинг, диагностика и устранение инцидентов
— Troubleshooting производительности платформы и storage систем
— Сопровождение Kubernetes и компонентов Data Lake: Apache Spark, Airflow, Flink, Kafka, Apache Iceberg
— Проведение RCA и postmortem analysis
— Автоматизация эксплуатационных задач
— Взаимодействие с командами Data Engineering и инфраструктуры
— Сопровождение Big Data Platform
Условия:
— удаленный формат работы
— Белая заработная плата, оформление согласно Трудовому кодексу РФ
— Комфортный старт: 3 месяца плавного погружения под присмотром HR
— Поддержка: IT-отсрочку и консультации HR/юристов
— Прозрачные процессы и открытую коммуникацию
— Работу на лучшем оборудовании без логирования времени, с фокусом на доверии и результате
— ДМС: медицинское страхование за счет компании
— Развитие: индивидуальный план обучения, посещение конференций и митапов, поддержка в развитии карьеры
— Личный бренд: возможность выступать на конференциях, митапах, публикация статей
— Бенефиты: ежеквартальное обновление корпоративных скидок
— Движ: организация вечеринок оффлайн и онлайн, предоставление мерча, проведение конкурсов и челленджей
Задачи:
— Возглавлять команду Data Scientists, участвовать в найме, онбординге и развитии сотрудников;
— Обеспечивать операционную деятельность: дейли-митинги, спринт-планирование, ретроспективы, демо;
— Формировать и развивать бэклог задач, определять приоритетные бизнес-задачи и оценивать ценность решений;
— Выстраивать кросс-функциональное взаимодействие с Data Engineering, MLOps и бизнес-подразделениями, договариваться о приоритетах и ресурсах;
— Отвечать за полный жизненный цикл моделей: сбор данных, разметка, обучение, валидация, деплой, мониторинг;
— Руководить проектированием и внедрением решений;
— Обеспечивать разработку, валидацию и мониторинг моделей, включая стандарты, политики и документооборот;
— Проводить архитектурные ревью, задавать стандарты качества кода и документации;
— Принимать участие в написании production-кода;
— Контролировать соблюдение сроков и качества результатов;
— Переводить бизнес-проблемы в технические задачи, формулировать гипотезы, определять метрики успеха и критерии приемки;
— Презентовать результаты и влияние моделей бизнес-заказчикам, защищать метрики качества;
— Отвечать за разработку и согласование единых стандартов разработки моделей внутри подразделения.
Требования:
— Высшее техническое образование в области прикладной математики, информатики, компьютерных наук или смежных дисциплин;
— Совокупный опыт в Data Science и машинном обучении от 5 лет;
— Управленческий стаж минимум 2 года на позиции тимлида или руководителя ML-подразделения с прямым подчинением инженеров и дата-сайентистов;
— Успешная реализация комплексных проектов полного цикла с выводом в промышленную эксплуатацию;
— Опыт внедрения моделей в production и построения системы мониторинга их качества;
— Глубокое владение Python и SQL;
— Практика работы с пайплайнами оркестрации (Airflow), распределённой обработкой данных (Spark), контейнеризацией (Docker) и системами контроля версий (Git);
— Опыт работы с большими данными в среде S3/Hadoop и аналитическими СУБД ClickHouse, Greenplum;
— Уверенное знание классического ML-стека: градиентный бустинг, линейные алгоритмы, а также специализированные подходы — uplift-моделирование и антифрод-системы;
— Навыки декомпозиции сложных задач, распределения нагрузки, контроля сроков и качества delivery;
— Навыки эффективного взаимодействия с бизнес-заказчиками и смежными командами (Data Engineering, MLOps, Product);
— Владение инструментами командной работы Jira и Confluence.
Условия:
— Конкурентоспособная заработная плата, ориентированная на ожидания и квалификацию кандидатов;
— ДМС со стоматологией, корпоративное обучение;
— Офис/гибридный формат работы в Москве (Москва-Сити);
— Современные технологии и подходы к ведению проектов;
— Работа в аккредитованной IT-компании.
Задачи:
— выполнять функции по автоматизации расчетов драйверных моделей
— анализ текущего процесса, который в основном реализован в Excel и SQL скриптах, разбирать логику и формулы
— поиск источников данных, анализ и репликация источников в DWH, согласование с владельцами систем
— разработка меппингов для работы с большими хранилищами и системами с более чем 500 параметрами
— создание витрин данных, проектирование и наполнение агрегированных слоев для бизнес-планирования
— внедрение автоматизированного процесса поддержки, обучение бизнес-пользователей новому формату
— прототипирование во внутренней системе (собственная разработка), создание модели планирования и запуск расчетов
Требования:
— опыт от 3+ лет в аналитике данных, бизнес-аналитике, клиентской аналитике физических лиц
— опыт работы с большими данными (Spark, Hadoop, GreenPlum, ClickHouse), знание SQL и Python
— умение визуализировать данные, писать качественные бизнес-требования на разработку дашбордов
— понимание метрик и драйверов для процессов бизнес-планирования, управления продуктом, клиентской аналитики
— опыт финансового моделирования продуктов, проектов, пилотов, инициатив
— базовые знания статистики
Будет плюсом:
— опыт работы в Banking, Retail, FinTech, E-commerce, Telecom
— знания методов cohort analysis, uplift modeling
— опыт работы с ML-моделями
Условия:
— комфортный современный офис рядом с м. Кутузовская
— ежегодный пересмотр зарплаты, годовая премия
— корпоративный спортзал и зоны отдыха
— уникальная система обучения Сбера для профессионального и карьерного развития
— расширенный ДМС и льготное страхование для семьи
— гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
— подписка Прайм с возможностью совместного использования на трёх близких
— вознаграждение за рекомендацию друзей в команду Сбера
— корпоративная пенсионная программа
Location: Boston, Massachusetts, United States
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
About the Team
In a world where every interaction matters, the Global Creative Team crafts brand experiences that resonate across audiences and channels, fueling a lifetime of play. We turn every touchpoint, physical or digital, into a chance to spark wonder, build desire and drive business outcomes for our portfolio of iconic brands.
We operate as one global creative team, united by a shared vision, diverse perspectives and a belief that the best ideas can’t be confined by org charts or geographic borders. Our multi-disciplinary creative teams are driven by unbridled curiosity, bravery and an innate drive to figure it out.
Job Overview
We are seeking a Sr. Creative Director, Brand Experience to lead the creative vision, development and stewardship of Hasbro’s iconic portfolio of toy and game brands across Action, Fashion, Preschool, Nerf, Play-Doh and Board Games. This leader will shape how our brands show up in the world; building distinctive creative platforms and identities that connect with consumers, stand out in culture and drive commercial impact.
Leading our front-end Brand Experience organization, you will set the creative vision for the portfolio and build the teams, standards and tools needed to bring that vision to life globally. You’ll partner closely with Brand Marketing, Product Design & Development, Commercial, Licensing and our Global Creative Studio to connect brand strategy to execution across every consumer touchpoint. The mandate is simple: build brands that cut through the noise and move with culture.
Location and Work Arrangement
Hybrid:
This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
• Set the creative vision for our toys and board games portfolio. Translating business, brand and commercial strategies into distinctive creative platforms that can scale globally.
• Own brand creative strategy across Action, Fashion, Preschool, Nerf, Play-Doh and Board Games, ensuring each brand has a differentiated and culturally relevant expression.
• Lead the front-end of brand development, including brand creative strategy, creative direction, visual and verbal identity, brand guidelines and creative toolkits.
• Build brands, not just campaigns. Establish enduring creative systems that strengthen brand equity while creating the flexibility to stay relevant across audiences and channels.
• Champion consumer and cultural insight as a creative catalyst. Ensure our creative work starts with a deep understanding of the audiences we serve.
• Partner with cross-functional partners to ensure brand vision translates with excellence across packaging, retail, digital, social, licensing and entertainment.
• Raise the creative bar. Establish clear standards for creative excellence and continually challenge our teams and partners to push beyond category conventions and the expected.
• Lead, inspire and develop a high-performing brand creative team with a culture of ambition, curiosity, collaboration and accountability.
• Influence at the highest levels of the organization, advocating for creative vision with senior leaders and bringing stakeholders along through clear, persuasive storytelling.
• Shape the future of creative at Hasbro, embracing emerging technology, AI and new modes of storytelling to evolve how we build brands and connect with consumers.
What You'll Bring
• 15+ years of progressive creative leadership experience within world-class consumer brands, creative agencies or similarly complex brand environments.
• Experience leading multi-brand portfolios and building distinctive brands that live across both commerce and culture.
• A body of work that demonstrates strategic thinking and measurable brand impact, not just great execution.
• Deep expertise in brand building, creative strategy, creative direction, visual and verbal identity and integrated brand systems.
• Fluency across channels, with a strong understanding of how brand ideas translate across physical, digital, social, retail, experiential and emerging consumer experiences.
• Proven experience building, leading and developing senior creative talent and multidisciplinary teams.
• Exceptional ability to influence senior executives and cross-functional partners while protecting the integrity and ambition of the creative vision.
• The ability to balance big creative ambition with commercial reality, knowing where to push, where to simplify and how to turn strategy into action.
• A strong point of view on culture, consumers, technology and the changing creative landscape, including the opportunities presented by AI and new forms of creative expression.
• Experience in toys, games, entertainment, CPG or brands that live at the intersection of retail, fandom and culture is a major plus.
• A positive, low-ego leadership style with a bias toward action and a genuine desire to make both the work and the people around you better.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
About the Company – Hasbro
Who We Are | Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbo’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports—but does not replace—human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$157,700
—
$236,500 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
California - Remote
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