Location: United States
Kit Assembly Specialist
Department:
Operations / Fulfillment
Reports to:
Fulfillment Supervisor or Warehouse Manager
Employment type:
Full-time, hourly (non-exempt)
About the role
We're looking for a detail-oriented Kit Assembly Specialist to build product kits, bundles, and subscription boxes accurately and efficiently. You'll follow bills of materials and work instructions to pick, assemble, package, and label kits that ship directly to our customers or to retail partners. Accuracy and consistency are the heart of this job, since every kit you build is a customer's first impression of our brand.
Key responsibilities
Assemble kits, bundles, and gift sets according to bills of materials (BOMs), work orders, and visual standards, making sure every component is present and correctly placed.
Pick components from inventory locations and verify SKUs, quantities, lot numbers, and expiration dates before assembly.
Perform quality checks on finished kits, flagging damaged, missing, or incorrect items and resolving discrepancies with your supervisor.
Package, seal, and label completed kits using barcode scanners, label printers, and shrink-wrap or heat-seal equipment as needed.
Record completed units and component usage in the warehouse management or inventory system so stock levels stay accurate.
Keep the assembly station clean, organized, and stocked, and replenish components before they run out.
Meet daily production targets while maintaining accuracy standards.
Help with cycle counts, receiving, and other fulfillment tasks during slower periods.
Follow all safety procedures, including proper lifting technique and equipment use.
Suggest improvements to kitting layouts, workflows, or instructions that could save time or reduce errors.
Qualifications
High school diploma or GED preferred.
1+ year of experience in kitting, assembly, warehouse, fulfillment, or manufacturing (or comparable hands-on work).
Strong attention to detail and the ability to follow written and visual instructions precisely.
Basic computer skills; experience with handheld scanners or a WMS is a plus.
Ability to work at a steady pace on repetitive tasks while staying accurate.
Good communication skills and a team-player attitude.
Reliable attendance and punctuality.
Physical requirements
Stand or walk for extended periods (up to 8–10 hours per shift).
Lift and carry up to 50 lbs regularly.
Bend, reach, and perform repetitive hand movements throughout the shift.
Work in a warehouse environment that may vary in temperature and noise level.
Location: Remote (US)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain.
Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S.
About the role
We’re looking for a Senior iOS Engineer to help build Ondo’s mobile experience. You’ll own features from early product discussions through release and improvement, working closely with design, product, and engineers across the stack.
Financial software asks a lot of its interface. People need to understand what they own, what an action will do, and whether it succeeded. You’ll bring strong iOS judgment to those moments: making complex flows feel clear while treating security, accessibility, performance, and reliability as core parts of the product.
What you’ll do
Build and maintain native iOS features in Swift, from architecture and implementation through App Store release.
Partner with design and product to turn complex financial workflows into clear, responsive mobile experiences.
Shape how the app handles authentication, account state, transactions, errors, and interrupted flows.
Work with backend and platform engineers to define reliable app-facing contracts.
Improve quality through thoughtful testing, observability, code review, and attention to real user behavior.
Help set technical direction for iOS and mentor other engineers through collaboration and feedback.
What you bring
A track record of shipping and improving production iOS apps with Swift.
Strong command of SwiftUI and practical experience with UIKit where it serves the product.
Sound judgment about app architecture, asynchronous work, state management, networking, and persistence.
Experience designing for security, privacy, accessibility, and performance.
The ability to take ownership of an ambiguous problem, make clear tradeoffs, and bring others along.
Care for the details users notice and the failure cases they should never have to think about.
Experience with financial products, trading, digital assets, or wallets.
Experience building apps that handle sensitive account or transaction flows.
Familiarity with release automation, analytics, and crash monitoring.
What we offer
Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation.
Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices.
A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap.
Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.
Location: Ukraine
Workplace: Remote
Who Are We?
Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.
We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.
With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started.
What We're Looking For
We're looking for a Total Rewards Specialist to own the analytics and frameworks behind how we pay: compensation ranges, review cycle models, market benchmarking, pay gap analysis; plus our benefits programs across our hubs. Strong with data, fluent in spreadsheets, confident with stakeholders.
Key Responsibilities:
- Build and maintain compensation analytics and reporting that leadership and HRBPs actually use.
- Maintain and extend compensation ranges across hubs, including new locations and cooperation models.
- Run the mechanics of our compensation review cycles: matrices, budget models, scenario costing, system settings, compensation statements.
- Run market benchmarking end to end: data submissions, survey analysis, positioning conclusions, and a clear recommendation
- Support the EU Pay Transparency rollout: pay gap analysis, action plans where gaps exceed thresholds, and getting us ready to answer pay questions properly
- Contribute to job architecture, job evaluation and levelling.
- Design and administer bonus schemes and keep the rules defensible and documented.
- Own benefits renewals end to end: benchmarking, vendor negotiation prep, business cases, contracts with Procurement, comms.
- Own the benefits budget and track effectiveness.
- Use AI and automation to take manual work out of recurring analytics and processes.
Required skills
- Solid experience in Compensation & Benefits roles, with a deep understanding of compensation frameworks and benefits management.
- Demonstrated expertise in implementing effective compensation and benefits practices for international markets.
- Strong ability to collect, validate, analyze, and interpret data, identify trends, and make data-driven decisions while making complex data easy to understand.
- Experience in conducting market research and benchmarking to ensure competitive compensation and benefits offerings.
- You are considered an Excel expert by your peers, have advanced proficiency in Google Spreadsheets and Presentations.
- Capable of managing multiple projects simultaneously and ensuring timely, successful execution.
Candidate journey
⭕️ Recruiter call --> ⭕️ Meet a team member --> ⭕️ Skills assessment--> ⭕️ Meet the Leadership team
✨ Why You’ll Love Being Part of Welltech:
- Grow Together: Join a culture that champions both personal and professional growth. Here, you’ll thrive as we learn, evolve, and succeed together.
- Lead by Example: No matter your role, your leadership matters. Every team member is empowered to inspire and make an impact.
- Results-Driven: We’re all about achieving meaningful outcomes. It’s not just about the effort, but the difference we make every day.
- We Are Well-Makers: Be part of a movement that’s creating a healthier, happier world. Together, we make well-being a reality!
Check out some of our products
Muscle Booster — https://musclebooster.fitness/
Yoga-Go — https://yoga-go.io/
WalkFit - http://walkfit.pro
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Wholesale Inventory Analyst, Accessories & Apparel to support the growth of our wholesale A&A business. This role will help manage inventory visibility, reporting, and replenishment across wholesale accounts, while providing insights that enable better inventory and planning decisions.
You will work closely with Wholesale A&A Planning and cross-functional partners across Sales, Supply Chain, Finance, Product, and Operations. This is a great opportunity for someone early in their career who is analytical, detail-oriented, and interested in building a career in merchandise and inventory planning.
RESPONSIBILITIES:
- Own weekly sales and inventory reporting across the wholesale A&A business.
- Monitor sell-through, weeks of supply, inventory availability, and other key inventory metrics.
- Identify potential stockouts, excess inventory, and replenishment opportunities.
- Support replenishment recommendations and inventory movement across wholesale accounts.
- Analyze performance across accounts, categories, styles, and SKUs to identify trends and opportunities.
- Support seasonal planning, product launches, and ongoing forecast updates.
- Maintain reporting and planning tools that improve visibility and decision-making.
- Partner with Sales, Supply Chain, Finance, Product, and Operations to support inventory needs and resolve issues.
QUALIFICATIONS:
- Bachelor's degree in Business, Finance, Supply Chain, Retail Merchandising, Analytics, or a related field.
- 0–2 years of relevant experience; internship or co-op experience is welcome.
- Strong Excel or Google Sheets skills and comfort working with data.
- Strong analytical and problem-solving skills with excellent attention to detail.
- Organized, curious, and comfortable working in a fast-paced environment.
- Strong communication skills and ability to work cross-functionally.
- Interest in consumer products, wholesale, retail, and Accessories & Apparel.
- Experience with SQL or BI/data visualization tools is a plus.
- This role is based in the WHOOP office located in Boston, MA.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $60,000 - $85,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
Workplace: remote
Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete.
We are looking for a Business Development & Partner Manager to own two complementary revenue motions simultaneously: converting partner-sourced leads into Provectus clients, and building a self-sourced pipeline from scratch.
The first motion sits at the heart of our Anthropic and AWS partnership. They share qualified enterprise leads with us. Your job is to receive those leads, run the full sales cycle, and close them — making Provectus the AI implementation partner of choice for Anthropic's enterprise accounts. Beyond converting inbound leads, you will actively grow the relationship: joint pipeline reviews, co-marketing, partner tier maintenance, and expanding the number of Anthropic field reps who think of Provectus first when they have an implementation need.
The second motion is yours to own. You will prospect independently, build relationships, and close deals with enterprise accounts in Financial Services and Life Sciences without a partner assist — operating as a true full-cycle business developer.
Responsibilities:
Partner motion — Anthropic channel
Act as Provectus's primary point of contact with Anthropic's partner and field sales teams.
Receive, qualify, and own enterprise leads shared by Anthropic; act as the primary point of contact from first conversation to signed SOW.
Identify new co-sell and joint go-to-market opportunities within Anthropic's product and field motion.
Maintain a healthy joint pipeline with Anthropic's partner and sales teams; lead quarterly business reviews and co-sell planning sessions.
Translate Anthropic's product roadmap and partnership incentives into compelling client propositions.
Represent Provectus at Anthropic partner events, executive briefings, and ecosystem calls.
Drive partner tier maintenance and upgrade — certifications, co-marketing activations, case study production.
New logo hunting
Prospect independently into enterprise accounts in target verticals (FSI, Life Sciences) using outbound, networking, events, and referrals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Build and maintain a personal network of enterprise decision-makers and economic buyers on the East Coast.
Cross-functional collaboration
Work with Provectus delivery leads and Architects to scope proposals accurately — you are selling consulting engagements, not software licenses.
Feed market intelligence — buyer objections, competitive dynamics, vertical patterns — back to leadership and marketing.
What You Need to Succeed:
2-5 years of experience in business development, partner/alliance management — with at least part of that in a consulting firm.
Proven track record managing an Anthropic, AWS, GCP, Azure or other partner relationship — co-selling, joint pipeline, MDF, or co-marketing.
Experience converting partner-sourced leads through a full enterprise sales cycle (discovery to signed SOW).
Demonstrated ability to run a full sales cycle independently: prospecting through close, without dedicated BDR support.
Experience selling complex, multi-month consulting engagements (statement-of-work deals, not SaaS subscriptions).
Excellent executive-level communication skills — written, verbal, and in-room presence at C-suite and VP level.
Experience in Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech).
Experience in selling AI/ML services, LLM-based products, or cloud data.
Willingness to travel (up to 40%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities.
About Provectus:
Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing.
We are recognized by industry analysts as a leading provider of AI solutions across key business domains.
At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact.
Why Join Us:
Work at the intersection of two of the most powerful AI partnerships in the industry — Anthropic and AWS.
A world-class AI/ML team that can actually execute on what you sell.
Shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption.
High-impact role with direct visibility to leadership.
Strong earning potential with performance-based bonuses.
Opportunity to work with cutting-edge AI and cloud solutions.
B2B contract model or full-time model.
OTE range $120-140k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data.
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Задачи:
— Развивать модели прогнозирования спроса и ценовой эластичности;
— Исследовать подходы к causal inference, uplift-моделированию и оценки эффекта изменения цены;
— Проектировать временную валидацию, backtesting и бизнес-метрики качества;
— Работать с uncertainty, confidence, intermittent demand, cold start и long-tailSKU;
— Разрабатывать логику выбора оптимальной цены с учётом бизнес-ограничений;
— Организовать оценку plan/fact и мониторинг качества моделей;
— Участвовать в проектировании feature engineering, batch training и batchinference на больших объёмах данных;
— Проводить design review, code review и менторить ML-специалистов команды.
Обязательные требования:
— Опыт в классическом ML от 3 лет;
— Сильная база в классическом ML, статистике и работе с табличными данными;
— Опыт с forecasting, временными рядами и gradient boosting: LightGBM,CatBoost или XGBoost;
— Понимание causal inference и экспериментального дизайна;
— Опыт доведения ML-моделей до production;
— Уверенное владение Python и SQL;
— Понимание временной валидации, data leakage, calibration и uncertaintyestimation;
— Опыт работы с Airflow или аналогичным оркестратором;
— Понимание принципов распределённой обработки данных, партиционирования и оптимизации вычислений;
— Умение связывать ML-метрики с измеримым бизнес-эффектом;
— Опыт в retail, e-commerce, pricing или demand forecasting;
— Практический опыт с PySpark, Trino, Iceberg, S3, dbt или ClickHouse;
— Опыт с price optimization, hierarchical forecasting или operations research;
— Опыт построения ML-мониторинга и проведения A/B-тестов.
Компания рассматривает кандидатов только из России.
Формат работы: Удаленка, Гибрид, Офис(Москва, Краснодар)
Уровень позиции: Senior
Задачи:
— Создание высокоинтегрированного и защищенного решения в клиент-серверной архитектуре на основе современных подходов к разработке и доставке приложений.
— Разработка масштабируемой модульной (микросервисной) распределенной программной архитектуры для работы в многопользовательском режиме под высокими нагрузками с обеспечением отказоустойчивости и катастрофоустойчивости.
— Создание системы распределенных и разграниченных вычислений и расчетов внутри приватного облака.
— Системная интеграция с CAD и FEM-пакетами и системами управления промышленными роботами в реальном режиме времени.
— Обеспечение легкого обновления системы за счет замены одного программного модуля на другой без нарушения целостности всей системы.
— Создание легкого конфигурирования и расширения функционала системы за счет добавления новых программных модулей.
— Обеспечение разграничения доступа к каждому полю базы данных, имитационной модели и алгоритму вычислительного эксперимента на основе лицензионной политики и билинга.
— Логирование и журналирование работы отдельных модулей системы и действий пользователей.
— Создание, поддержка и развитие архитектуры backend-части.
— Проектирование и реализация коммуникаций между компонентами системы и со сторонними информационными системами (CAD, CAE, MES, FEM и др.).
— Обеспечение нагруженной многопоточной обработки данных на серверах.
— Применение единой модели описания прикладных решений различного масштаба, средств анализа, компиляции, сборки и деплоя.
Требования:
— Высшее математическое или техническое образование.
— Опыт проектирования и разработки высоконагруженных кросс-платформенных приложений не менее 4 лет.
— Опыт разработки многопоточных сервисов.
— Опыт работы с ApacheKafka, Redpanda, RabbitMQ.
— Опыт командной работы.
— 3+ лет коммерческой разработки на C++.
— Уверенное знание C++17/20, STL, RAII, move semantics, templates.
— Хорошее понимание multithreading и concurrency.
— Опыт разработки backend/high-load сервисов.
— Понимание паттернов микросервисной архитектуры.
— Опыт работы с PostgreSQL и понимание транзакций, индексов, locks, isolation levels.
— Опыт разработки или интеграции gRPC.
— Опыт профилирования и оптимизации производительности.
— Способность самостоятельно принимать технические решения и отвечать за результат.
Будет плюсом:
— Production-опыт с userver.
— Опыт построения высоконагруженных и отказоустойчивых систем.
— Опыт работы с очередями/брокерами сообщений.
— Знание observability: metrics, logging, tracing.
— Опыт performance engineering.
Условия:
— Занятость full-time.
— Формат работы удалённый.
Задачи:
— создавать работающие продукты с нуля
— (Для Tech Lead) принимать архитектурные решения
— (Для Tech Lead) проводить качественный code review
— (Для Tech Lead) развивать команду
Требования:
— уверенное знание Java, Spring Boot и микросервисной архитектуры
— сильные знания алгоритмов и структур данных
— олимпиадный опыт: ICPC, IOI, Codeforces или другие соревнования
— способность показать собственный продукт, open-source или сильный pet-проект
— умение доводить идею от прототипа до стабильной работы в production
Условия:
— достойная оплата
— пространство для профессионального роста
Задачи:
— Разрабатывать и поддерживать backend-сервисы на Go.
— Развивать микросервисную архитектуру и REST/gRPC API.
— Работать с PostgreSQL, Redis и очередями сообщений.
— Разрабатывать асинхронные процессы и интеграции.
— Писать тесты, участвовать в code review.
— Поддерживать надежность сервисов и разбирать production-инциденты.
Требования:
— Опыт в blockchain, crypto.
— Работа с финансовыми транзакциями, балансами, ledger или billing.
— Опыт разработки wallet, deposit/withdrawal-сервисов.
— Знание OpenTelemetry, Prometheus, Grafana и других observability-инструментов.
— Понимание AML/KYC, PCI DSS или GDPR.
— От 3 лет коммерческой разработки на Go.
— Опыт разработки и поддержки production backend-сервисов.
— Понимание микросервисной архитектуры.
— Опыт работы с PostgreSQL, Redis и Kafka / RabbitMQ / NATS или аналогами.
— Понимание транзакционности, идемпотентности и конкурентного доступа.
— Опыт написания тестов и работы с Docker.
— Базовое понимание Kubernetes.
— Знание HTTP, TLS, JWT/OAuth2, authentication/authorization.
— Умение писать читаемый, поддерживаемый и безопасный код.
Условия:
— Гибридный формат работы в Минске.
Задачи:
— Разрабатывать компоненты платформы целиком
— Собирать требования, строить модели данных и описывать методики расчётов
— Общаться напрямую с конечными пользователями
— Проектировать архитектуру и защищать свои решения
— Глубоко применять Claude Code и Cursor как agentic-инструменты
— Проводить ревью, технические обсуждения и развивать инженерную культуру
Требования:
— 5+ лет коммерческой разработки сложных DWH/BI-систем
— Уверенные навыки: C#, .NET, ASP.NET, Angular, AI-инструменты
— Реальный опыт работы с Claude Code: настройка CLAUDE.md, структурированные промпты, анализ кодовой базы, генерация production-ready кода, рефакторинг, тесты, pull requests и аудит безопасности
— Понимание ограничений LLM и умение выстраивать безопасный HITL процесс
Условия:
— Корпоративные подписки на AI-инструменты
Location: Madrid
Workplace: Hybrid
OUR STORY:
Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.
Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016.
YOUR TEAM:
In the role of Customer Success Associate Team Lead, you'll work closely with our customers, accountants, and support agents to ensure the highest quality of service while guiding the team through the nuances of tax filing processes. We're looking for a natural leader — someone positive, driven, and eager to make a real impact in a fast-growing fintech environment.
We're a lean operations team, which means we value people who lead by example, roll up their sleeves when needed, and are passionate about both great customer experiences and team development. From day one, you'll need to hit the ground running — deepening your knowledge of our platform, our processes, and the tax landscape, while helping your team do the same.
WHO WE'RE LOOKING FOR:
Are you a customer support professional with experience leading teams? Do you thrive on improving processes, optimizing customer experiences, and making complex topics easy to understand? If so, we want to hear from you.
We’re looking for an Associate Team Lead to help our team operate efficiently, provide excellent service, and improve performance. You’ll track KPIs, give feedback that actually makes a difference, and act as a point of contact for customer support agents.
YOUR RESPONSIBILITIES:
As our Associate Team Lead, you’ll play a pivotal role in elevating the customer support function. Here’s how:
- Team Leadership: Coordinate priorities and workload, monitor service performance, and help the team meet agreed service and quality targets.
- Support and handle complex cases: Support agents with difficult customer queries and escalations, helping ensure clear, accurate, and customer-focused resolutions.
- Performance Management: Keep an eye on key metrics, hold 1:1 meetings with team members, and provide feedback that helps them grow.
- Improve processes: Identify recurring friction in workflows, guidance, and response templates; work with relevant teams to implement improvements.
- Cross-Team Collaboration: Work closely with our product and marketing teams to bring customer feedback into the bigger picture.
- Training & Development: Ensure the team stays sharp by keeping them up to date with the latest tools, processes, and best practices.
- Reporting & Insights: Analyze data, track trends, and share insights to continuously improve customer support.
- AI Builder: Leverage and help shape AI-powered tools to streamline support workflows, draft smarter response templates, and reduce resolution times — actively contributing to how we build and iterate on AI within the support function.
- Retention opportunity: Identify at-risk customers through support interactions and data trends, working proactively to address pain points, reduce churn, and turn frustrating experiences into reasons to stay — making customer support a key driver of retention.
YOUR PROFILE:
We’re excited to meet someone who:
- Communicates clearly and inspires their team to excel.
- Is native in Spanish and fluent in English.
- Previous experience in customer service, with at least 1-2 years supervising or managing a customer service team.
- Experience with support tools (e.g., Zendesk, Intercom etc) and understanding of CRM systems.
- Strong analytical skills to track and improve key customer service metrics.
- Demonstrates strong problem-solving skills and a proactive with a passion for delivering great customer experiences.
- Is based in Madrid.
WHY TAXFIX?
- A chance to do meaningful, people-centric work with an international team of passionate professionals.
- Holistic well-being with free mental health coaching sessions.
- A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
- Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
- 30 annual vacation days and flexible working hours.
- A generous learning budget to support your personal and professional development and guidance from our internal L&D experts.
- Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
- Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible.
- Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
- Have a four-legged friend in your life? We’re happy to have dogs join us in the office.
Excited? So are we. Check out our Life at Taxfix https://www.linkedin.com/company/taxfix/life/8684512c-424f-44de-8d07-6e6b516e3319/?viewAsMember=true page on LinkedIn to get a glimpse of our culture.
At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.
Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.
Требуется Senior DevOps-инженер в команду, которая занимается проектом крупнейшего производителя ювелирной продукции.
Требования:
— коммерческий опыт в DevOps или SRE от 4 лет;
— реальный опыт проектирования и построения инфраструктуры с нуля;
— опыт эксплуатации Docker Swarm в production;
— уверенное знание и production-опыт Kubernetes;
— опыт настройки GitLab CI/CD, раннеров и пайплайнов для фронтенда и бэкенда;
— понимание сетевой модели и проксирования через Nginx;
— опыт эксплуатации Percona XtraDB Cluster / Galera в production: кворум и split-brain, SST/IST, bootstrap после падения, бэкапы через Percona XtraBackup;
— опыт работы с Docker, PostgreSQL, Redis и S3-совместимым хранилищем;
— опыт настройки Prometheus, Grafana, Loki и Zabbix;
— готовность участвовать в архитектурных решениях, работе с командами разработки и технических переговорах с подрядчиками.
Условия:
— гибридный формат работы в Москве;
— клубы по интересам, летний выезд на природу AGIMA Camp и корпоративные вечеринки, куда можно приглашать и свою семью;
— открытость к решению любых вопросов и поддержка в создании вашего личного бренда для профессионального роста;
— бесплатные билеты на культовый забег для IT-специалистов RUNIT;
— участие в профильных конференциях с оплатой дороги и участия, если выступаете как спикер;
— доступ к разработанным курсам по UX-дизайну, проджект-менеджменту, тимлидингу и другим направлениям.
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity.
- Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations.
- Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, addressing objections and closing deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders.
- Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers needs. Collaborate with our marketing team to implement effective sales campaigns and presentations.
- Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds.
- Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product.
WHAT YOU'LL BRING
- 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts.
- Strong communication skills: Exceptional verbal and written communication abilities in English, with fluency in Swedish, Norwegian, or Danish.
- Enterprise experience: Experience managing a $1M+ quota, and running end-to-end complex deals.
- Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions.
- Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling.
EVEN BETTER...
- Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends.
- Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Canada
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Keepgo is a global mobile internet provider offering innovative products and solutions based on virtual technologies, primarily eSIM. They deliver secure, low-latency connectivity across 600+ mobile networks in 150+ countries.
The company is looking for a Junior to Mid Sales Professional to accelerate the growth of Keepgo’s B2B solutions for SMB clients across multiple platforms, including esimba.ai and business.keepgo.com.
Your main goal will be to drive qualified sales through impactful product demos, trusted client communication, and consultative selling. Most of the time, leads are provided.
This role is fully remote and offers long-term, full-time collaboration within an international team.
Responsibilities:
— Conduct online product demos and meetings with SMB leads to present Keepgo’s B2B solutions and drive deal closures.
— Communicate with leads through multiple channels, including emails, WhatsApp, and online meetings, until successful closure.
— Develop and demonstrate strong knowledge of Keepgo’s telecom and software products, including esimba.ai and IoT solutions on business.keepgo.com.
— Effectively communicate product features, benefits, and business value to SMB customers.
— Build trust with customers by understanding their business needs and providing tailored solutions.
— Support local partners during the sales process by providing product expertise and assisting in closing deals.
— Maintain consistent follow-up with leads and ensure a professional customer experience throughout the sales cycle.
— Stay updated on market trends, competitor activities, and developments in the telecommunications and SaaS industries.
— Collaborate with internal teams to align sales efforts with business goals and customer needs.
Requirements:
— Fluent/Native English with ability to communicate across different accents.
— Bachelor’s degree in business, engineering, telecommunications, or related field (or equivalent practical experience).
— Minimum of 6 months of experience in B2B sales and software/SaaS products.
— Tech-savvy with ability to quickly learn and adapt to new technologies and digital products.
— Strong negotiation, presentation, and communication skills.
— Ability to build rapport and establish trust with customers.
— Understanding of SMB sales processes and customer relationship management.
— Experience working with CRM systems and sales tools is a plus.
— Experience in telecom, SaaS, or tech industry within CIS/International markets is a plus.
What We Offer:
— Fully remote, long-term role.
— Fully flexible schedule.
— Paid vacation.
— Opportunity to work with international B2B tech products.
— Impact-driven work with measurable results.
— Collaborative and flexible work environment.
Additional notes:
— References from previous managers/supervisors may be requested.
— Background check may be conducted.
— Installation of monitoring software (Scrin.io) on your equipment during work hours is required.
Location: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); India (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Privacy Functional Team, you'll lead complex projects across key company-wide objectives. You'll protect the privacy of our users using Go, Node.js, Python, and (sometimes) Perl to write pragmatic, performant, testable code, and work on related projects. Potential projects include:
- Designing systems for improving our search indexes and AI features without compromising user privacy
- Building new features on top of our Tracker Radar https://spreadprivacy.com/duckduckgo-tracker-radar/ crawler to detect emerging privacy threats
- Implementing new privacy features and maintaining existing ones, such as our Web Tracking https://duckduckgo.com/duckduckgo-help-pages/privacy/web-tracking-protections and Email https://duckduckgo.com/duckduckgo-help-pages/email-protection/privacy Protections
As a Senior Privacy Engineer, you'll own major components of our privacy technology, taking responsibility for their maintenance and improvement over time. A key part of the role will also be participation in our privacy review and audit processes, ensuring that all product developments align with our privacy principles. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Privacy Team at DuckDuckGo.
ABOUT YOU
- Ability to lead and collaborate on high-impact and complex projects from proposal through post-mortem.
- Skills to wrangle vague problems, propose innovative solutions, and execute them effectively, involving others when necessary.
- Experience working on privacy solutions in an engineering capacity (e.g. tracker blocker, differential privacy, or similar technology).
- Deep technical understanding of online privacy threats and the existing solution space to protect against them.
- Proficiency in any of the following: Go, Node.js, Python, Perl.
- Excellent communication skills. You can validate your decisions and communicate them clearly to a variety of audiences, including non-technical stakeholders.
COMPENSATION
$178,500 USD annually and stock options. Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
Disclosure Statement: Use of AI in Hiring Process
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
Location: Oklahoma, United States
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.
DC Facilities Engineer
Independently operates, maintains, troubleshoots, and takes end-to-end ownership of critical power, critical cooling, liquid cooling, and DCIM/BMS infrastructure systems; participates in incident management and commissioning activities; and mentors Associate DC Facilities Engineers.
Role Overview
The DC Facilities Engineer is a critical role within Nebius data center operations. A fully proficient DC Facilities Engineer who independently manages and troubleshoots critical power and critical cooling systems across the site and takes ownership of assigned engineering tasks from start to finish. Participates in incident management activities, supports site commissioning and build reviews, and contributes to ensuring all engineering work meets Nebius SLAs and standards. Enforces safe working practices, collaborates with facilities, network, and technician teams, and mentors Associate DC Facilities Engineers toward independent operation.
Core Responsibilities
Monitor and contribute to the tracking of critical environment maintenance and repair for assigned service lines to Nebius SLAs; identify and escalate developing faults before they impact service uptime.
Independently operate, monitor, and troubleshoot critical power distribution infrastructure including UPS systems, PDUs, RPPs, and in-rack busbar power systems.
Manage and maintain critical cooling infrastructure including CRAHs, CRACs, CDUs, and RDHx; perform capacity checks and leakage inspections.
Participate in incident management for infrastructure-impacting events; support root-cause analyses, document findings, and contribute to CAPA execution under the direction of the Senior DC Facilities Engineer.
Operate and administer DCIM and BMS platforms; build and maintain dashboards, alerts, capacity reports, and infrastructure records.
Support deployment and commissioning of GB-scale liquid-cooled rack infrastructure including direct liquid cooling (DLC) systems, manifolds, and CDU connections.
Perform and own preventive maintenance tasks for all critical power and critical cooling systems; maintain accurate maintenance logs and compliance records.
Participate in site reviews, design reviews, and commissioning activities; prepare and review technical reports to document findings and communicate results.
Enforce Nebius critical power and critical cooling safety procedures; act as safety lead for engineering work orders on live infrastructure.
Collaborate with facilities, network, and technician teams on infrastructure changes, capacity expansions, and major deployments.
Support adherence to Nebius standards and policies through documentation review and active participation in commissioning and design activities.
Contribute to vendor and contractor coordination by supporting scheduling, site access, and execution of work per Nebius expectations and safe-working practices.
Actively mentors and trains Associate DC Facilities Engineers; guides them through systems operation, safe working practices, and structured skill development toward independent operation.
Expected Capabilities / Expectations
Working proficiency across all critical power systems: UPS, PDU, RPP, in-rack busbar, and generator interfacing.
Hands-on experience with critical cooling systems: CRAH/CRAC, CDU, RDHx, and water-side infrastructure including leak detection.
Competent DCIM/BMS administration: alert management, capacity modeling, and dashboard reporting.
Developing knowledge of GB rack liquid cooling technology, DLC manifolds, and heat rejection infrastructure.
U.S. Data Center Career Framework - Technical Career Framework
Ability to participate in and support incident management activities including RCA and CAPA documentation.
Strong documentation discipline: change records, maintenance logs, capacity data, and incident write-ups.
Clear and confident communication with facilities, network, and vendor teams during changes and incidents.
Core Physical Requirements
Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations.
Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids.
Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center
infrastructure.
Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways.
Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure.
Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations.
Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions.
Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces.
On-Call Requirement
This role includes on-call participation to respond to after-hours critical power and critical cooling events, infrastructure alarms, and urgent maintenance requiring prompt engineering response.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$49
—
$54 USD
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.
Location: United States; Canada; United Kingdom; Germany; The Netherlands
Workplace: Remote
ClickHouse Labs is an applied research group that works closely with engineering teams to identify challenging problems in database systems and develop novel solutions. Our goal is to advance the state of the art and translate research ideas into real-world system improvements.
ABOUT THE ROLE
As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed systems, AI, and systems software engineering while collaborating with experienced researchers and engineers. The role covers a broad range of problems across database systems research and engineering, including but not limited to query optimization, execution engines, distributed systems, consensus protocols, materialized views, indexing and data structures, benchmarking, workload analysis, and emerging agentic workloads.
In this role, you will work on leading open-source database systems (e.g., ClickHouse, PostgreSQL). You will investigate performance and scalability bottlenecks in production-quality systems, develop new algorithms and system designs, and evaluate them under realistic workloads and hardware configurations. Projects may involve improving query planning and execution, reducing CPU and memory overhead, increasing throughput and concurrency, scaling across distributed deployments, or redesigning system components to leverage modern hardware better. You will work closely with engineers to turn successful ideas into robust implementations that can be deployed and maintained in widely used open-source systems.
Researchers are encouraged to publish their work, contribute to open-source projects, participate in leading research conferences, and pursue ambitious projects with strong engineering and research support.
RESPONSIBILITIES
- Conduct applied research aimed at advancing the performance, scalability, reliability, and functionality of open-source database management systems, including ClickHouse and PostgreSQL.
- Design and evaluate new algorithms, data structures, and system architectures for areas such as query optimization, indexing, storage management, query execution, and distributed data management.
- Develop high-quality research prototypes and production-grade implementations, and work with engineering teams to integrate successful techniques into open-source and production systems.
- Collaborate closely with database engine, infrastructure, and data-plane engineers to identify high-impact research problems and translate research results into practical system improvements.
- Analyze large-scale database workloads, performance traces, benchmarks, and production telemetry to identify bottlenecks and optimization opportunities.
- Design rigorous experiments and benchmarks to evaluate new techniques across realistic workloads, hardware configurations, and deployment environments.
- Communicate research results through technical reports, open-source contributions, internal presentations, and publications at leading database and systems venues (e.g., SIGMOD, VLDB, CIDR).
- Contribute to the broader technical direction of ClickHouse Labs by identifying emerging research opportunities and helping shape longer-term research projects.
QUALIFICATIONS
MINIMUM QUALIFICATIONS
- Masters/Ph.D. in Computer Science, Data Science, or a related field, with research experience in databases, distributed systems, systems software, or machine learning systems.
- Strong publication record in leading peer-reviewed research venues such as SIGMOD, VLDB, SOSP, OSDI, NSDI, or NeurIPS, with work relevant to databases or systems.
- Strong programming and systems-development background, including experience working with database internals or other large systems codebases such as PostgreSQL, MySQL, ClickHouse, or comparable modern DBMSs.
- Proficiency in systems programming using C, C++, Rust, Zig, or a comparable low-level programming language.
- Strong analytical, experimental, problem-solving, and technical communication skills.
PREFERRED QUALIFICATIONS
- Experience developing or operating database systems in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure.
- Familiarity with large language models, reinforcement learning, learned optimization, or other techniques at the intersection of machine learning and systems.
- Experience contributing to large open-source systems projects, particularly database engines, distributed systems, compilers, or storage systems.
BONUS QUALIFICATIONS
- Familiarity with modern systems-development and verification tooling, including formal specification or model-checking frameworks such as TLA+/PlusCal, Alloy, or Lean, as well as relevant development tools and languages such as LLVM, eBPF, Python, Go, or advanced profiling and debugging tools (e.g., perf, sanitizers, or tracing frameworks).
- Proven track record in optimizing database systems via hardware acceleration (e.g., GPU, FPGA, CXL), with a focus on designing methods for offloading for query execution, storage layers, and data-intensive primitives using frameworks like CUDA, SYCL, ROCm, or specialized FPGA development flows.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
УдалённоseniorRemote (US)
УдалённоUkraine
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УдалённоNew York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
ГибридleadMadrid
ОфисLondon
Canada
УдалённоjuniorГеография найма не уточнена
УдалённоseniorRemote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Mexico (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); India (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
Oklahoma, United States
УдалённоUnited States; Canada; United Kingdom; Germany; The Netherlands