Вакансии

Требования: — В настоящее время имеет или находится в процессе получения степени бакалавра в области электротехники, компьютерной инженерии или смежных инженерных областях.

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 hiring an Electrical Engineer II to help advance the performance, reliability, and scalability of WHOOP wearable technology and supporting hardware. As a member of the Hardware Engineering team, you will play a hands-on role in designing, testing, characterizing, debugging, and improving electrical systems throughout the product lifecycle, from early development and prototyping through high-volume production and continuous improvement. You will work closely with Electrical, Mechanical, Firmware, Manufacturing, Quality, and Supply Chain teams to investigate complex technical challenges, develop and validate robust solutions, and drive improvements in product performance, quality, reliability, and manufacturability. RESPONSIBILITIES: - Design, test, characterize, debug, and optimize low-power, mixed-signal electronic circuits and systems across new product development and continuous improvement initiatives - Contribute to schematic design, component selection, PCB development, hardware prototyping, board bring-up, and design iteration to improve system performance, robustness, and manufacturability - Develop and execute electrical experiments, characterization plans, and validation testing to understand system behavior, investigate failures, identify root causes, and guide engineering decisions - Analyze test data and troubleshoot electrical issues to drive improvements in circuit performance, power consumption, signal integrity, reliability, production yield, and cost - Collaborate across Electrical, Mechanical, Firmware, Manufacturing, Quality, and Supply Chain teams, as well as with suppliers and contract manufacturers, to resolve technical challenges and implement robust hardware solutions - Support hardware through design verification, validation, new product introduction (NPI), and ongoing production, including engineering change orders (ECOs) and design improvements; travel up to 15% domestically and internationally to collaborate with partners and suppliers QUALIFICATIONS: - Bachelor's degree in Electrical Engineering or a related technical field, or equivalent practical experience - 3+ years of relevant electrical engineering experience designing, developing, testing, debugging, or supporting electronic hardware - Strong understanding of electrical engineering fundamentals, including analog and digital circuit design, power management, signal integrity, component fundamentals, and common communication interfaces - Hands-on experience designing, prototyping, testing, characterizing, and debugging electrical circuits and systems using standard laboratory equipment - Experience reading and developing schematics and working with ECAD tools such as Altium or equivalent - Experience with hardware development, validation, or production support, including exposure to design verification, failure analysis, design iteration, or manufacturing processes - Strong analytical and problem-solving skills, with the ability to use data, experimentation, and cross-functional collaboration to investigate complex technical problems and drive effective solutions - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $110,000 - $150,000. 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: Sainte-Anne-de-Bellevue, Canada 📍 Location: Sainte-Anne-de-Bellevue, QC, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote available for U.S. and Canadian Citizens 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Remote & Relocation Opportunities U.S. and Canadian Citizens: Remote work arrangement available. UK and European Candidates: Relocation assistance/allowance and a relocation bonus are available for qualified candidates willing to relocate to Canada. Candidates should be prepared to support collaboration across multidisciplinary spacecraft engineering teams. Important Screening Requirements Bachelor’s degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field . 8+ years of Electrical Power System (EPS) design experience on LEO/MEO satellite platforms. Deep knowledge of spacecraft bus subsystems and their interactions . Experience with power electronics design and power management hardware . Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, and troubleshooting . Experience with Confluence and JIRA . Ability to work effectively with limited supervision. Strong analytical and problem-solving skills. Excellent written and oral communication skills in English. French is an asset. About the Role We are seeking an experienced Satellite Electrical Power System (EPS) Design Engineer to support the concept, detailed design, analysis, verification, and integration of electrical power subsystems for current and next-generation remote sensing and communications satellites . The role focuses on the design and development of solar arrays, power-conditioning units, batteries, power distribution, and regulation systems , while working closely with multidisciplinary teams across payload, spacecraft bus, thermal, structural, avionics, and mission systems. The successful candidate will contribute to the development of reliable, high-performance EPS solutions throughout the spacecraft lifecycle, from early architecture and trade studies through integration, launch, and on-orbit operations. What We’re Looking For We’re looking for a senior spacecraft electrical power systems engineer with strong experience designing and integrating EPS architectures for satellite platforms. The ideal candidate can work across the full EPS lifecycle, from power architecture and trade studies through detailed design, modeling, verification, spacecraft integration, launch, and on-orbit support . Strong candidates will combine deep power electronics and spacecraft EPS expertise with hands-on systems integration, analytical problem-solving, and the ability to work effectively across multidisciplinary engineering teams. Key Responsibilities Architecture & Requirements Define EPS architectures covering power generation, energy storage, and distribution while meeting mission power, mass, volume, and reliability requirements. Perform architecture and technology trade studies involving: Solar cell technologies Battery chemistries Regulator topologies Develop system requirements and functional flow block diagrams. Develop and maintain Interface Control Documents (ICDs) and design descriptions. Manage requirements and maintain bidirectional traceability throughout the program lifecycle. Detailed Design & Analysis Size and evaluate: Solar arrays Power-conditioning units Battery packs Power distribution units Build and validate high-fidelity electrical models for spacecraft operating modes. Perform FMECA and fault-detection analysis . Develop and maintain power budget models. Perform load-flow and thermal-power coupling analyses. Conduct survivability analyses for: Eclipse operations Safe mode Fault-tolerant operation Analyze EPS performance across different spacecraft mission phases and operating conditions. Cross-Functional Coordination Present technical status, risk analyses, and trade-study results to senior management. Interface with spacecraft bus teams across: Power Thermal Structures Avionics Develop and maintain high-fidelity power models for mission analysis, including: Orbit raising Station keeping De-orbit Develop tools supporting power efficiency and optimization. Support Phase 0 and pre-Phase A activities. Collaborate with multidisciplinary engineering teams throughout the spacecraft lifecycle. Integration & Verification Author Verification Plans, Test Matrices, and Validation Procedures for unit and EPS subsystem testing. Support ground-test and integration campaigns. Support: Fueling activities Thermal-vacuum testing EMI/EMC testing Spacecraft-level integration Analyze test data and support anomaly resolution. Close out anomalies and update design baselines. Support flight software integration. Technical Leadership & Mentorship Mentor and guide junior and intermediate systems engineers and interns. Lead or support multidisciplinary engineering activities. Serve as a technical liaison with customers, partners, and external vendors. Contribute to continuous improvement initiatives. Contribute to engineering knowledge bases, processes, and standards development. Configuration, Documentation & Standards Maintain EPS design and safety standards. Ensure engineering analyses, software, documentation, and deliverables are properly version controlled within the PLM environment. Support spacecraft design reviews, including: SRR PDR CDR MRR/TRR Support technology road-mapping and innovation activities. Launch, On-Orbit & Operations Support Support launch-site interface checklists with the responsible launch vehicle interface engineer. Support pre-launch checkout procedures. Support early-orbit checkout scripts. Provide real-time EPS engineering support during: Launch On-orbit commissioning Anomaly investigations Contingency operations Support Satellite Operations Handbook (SOOH) development and associated operator training. Required Qualifications Bachelor’s degree in Electrical Engineering, Aerospace Engineering, Physics, or a related field . 8+ years of EPS system design experience on LEO/MEO satellite platforms. Deep knowledge of spacecraft bus subsystems and their interactions. Experience with power electronics design and power management hardware. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration and testing . Strong troubleshooting and problem-solving capabilities. Experience with Confluence and JIRA . Ability to work efficiently with limited supervision. Ability to break down complex technical problems and develop practical solutions. Excellent written and oral communication skills in English. Preferred Qualifications Experience designing EPS architectures for remote sensing or communications satellites . Experience with solar array, battery, power-conditioning, and power-distribution systems. Experience with high-fidelity spacecraft power modeling . Experience with FMECA, fault detection, survivability analysis, and reliability engineering. Experience supporting thermal-vacuum, EMI/EMC, and spacecraft-level integration testing . Experience with mission-phase power analysis, including orbit raising, station keeping, eclipse, safe mode, and de-orbit. Experience developing tools for power efficiency and optimization. Experience supporting spacecraft launch-site and on-orbit operations . Experience with spacecraft design reviews and lifecycle processes. French language skills are an asset.

Ищем ML-инженера с сильным практическим опытом работы с LLM: fine-tuning, post-training, evaluation и inference. Важно: это не позиция классического ML Engineer / Data Scientist. Нужен кандидат, который самостоятельно обучал и адаптировал LLM и понимает полный цикл — от данных и обучения до evaluation и deployment. Задачи: - Разработка и улучшение пайплайна LLM post-training: SFT, preference optimization, Offline / Online RL; - Улучшение instruction following и построение системы benchmarking / evaluation; - Обучение LoRA / QLoRA-адаптеров под различные домены и задачи; - Работа с reward models / verifiers и reward functions для RL; - Разработка RAG-систем: retrieval, reranking, context construction и evaluation; - Обучение и интеграция tool use / function calling / structured outputs; - Оптимизация inference и serving моделей с использованием vLLM / SGLang; Обязательные требования: - Практический опыт fine-tuning / post-training LLM; - Опыт с SFT и preference optimization: DPO / IPO / ORPO / SimPO или аналогами; - Опыт или хорошее практическое понимание Online RL для LLM: GRPO / GSPO или аналогичных методов; - Понимание reward models, preference data и LLM evaluation; - Уверенное владение Python, PyTorch, Hugging Face Transformers; - Опыт с TRL и/или verl; - Опыт с LoRA / QLoRA / PEFT; - Опыт inference / serving через vLLM и/или SGLang; - Опыт разработки RAG, tool use или structured generation; - Понимание архитектуры современных LLM и особенностей их обучения и inference; - Опыт работы с GPU, distributed training и Linux / Docker / Git; - Умение самостоятельно ставить эксперименты, выбирать метрики и анализировать результаты. Будет плюсом: - Continual / domain pre-training; - Reasoning RL; - Multilingual LLM или code generation; - FSDP / DeepSpeed / Megatron-LM; - Quantization и оптимизация inference.

Location: Remote UK At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the role Affirm’s Identity team is mission-critical to the customer checkout experience. When a customer chooses Affirm, one of the first steps is an identity check, and our ability to make the right decision directly impacts conversion, revenue, fraud exposure, and regulatory compliance. Our team owns Identity for all markets outside North America, playing a key role in Affirm’s international expansion. We are responsible for KYC, user lifecycle management, and identity decisioning across multiple regulatory environments. As an Engineering Manager on our team, you’ll help shape how Affirm adapts its core Identity platform to new market dynamics, customer expectations, and compliance requirements. What you’ll do You will lead and grow a well-balanced team of engineers – setting clear expectations, giving direct feedback, and developing each engineer toward their next level. You will own the team’s technical strategy and multi-quarter roadmap, tying it to major experience initiatives that build customer trust and move Affirm’s business, including large-scale redesigns and structural improvements to the identity verification journey. You will empower your tech lead and engineers to hold the design and quality bar, supporting them hands-on throughout technical design and cross-functional alignment. You will own the availability, reliability, and performance of consumer-critical systems – on-call, incident response, and reducing operational toil. You will drive alignment across multiple organizations and influence roadmaps on partner experience and foundational teams. You will partner across Product, Design, and Analytics, and other Engineering teams, building trust and taking part in cross-functional efforts. What we look for You have 7+ years of software engineering experience, including 3+ years managing and growing engineering teams. You have proven experience delivering consumer-facing software and driving execution through ambiguity. You have the technical judgment required to guide architecture, quality, and reliability decisions, with the instinct to empower senior engineers to make the calls rather than making them all yourself. You have experience leading significant technical initiatives end-to-end, ideally decoupling or re-platforming consumer-facing systems within clear time constraints. You have a calm, decisive presence through change and ambiguity – building alignment, resolving tensions, and leading others through complex decisions. You are a humble, team-first leader who builds a high-trust, psychologically safe culture, while also prioritizing your own growth. You have strong analytical and problem-solving skills, with the ability to balance customer needs, business goals, and technical constraints. You exhibit exceptional communication, stakeholder management, and organizational influence skills. You have a proven ability to build alignment and drive outcomes in complex environments without direct authority. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Compensation & Benefits Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £142,000 - £190,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Endpoint team (Client Platform Engineering) treats Anthropic's device fleet as a platform we build and run. We run our own MDM as a production service and manage every piece of device configuration as code. Policies, configuration profiles, queries, remediation scripts, and software all ship through pull requests, CI, a staging environment, and a canary group before they reach the fleet. The fleet is mostly macOS, plus a small number of Linux machines and a growing mobile footprint. You'll own that platform end to end: the infrastructure underneath the MDM, the configuration on top of it, the patching and software pipelines that keep thousands of devices patched and secure, and the telemetry that tells us what is actually true on every device. You'll also build automation that cuts down on manual operational work. You'll work with Security teams on hardening, compliance controls, and detection and response, and with developer and infrastructure teams to make sure those controls don't get in the way of their work. Your work will let us base access decisions on whether a device can be trusted. We value people who double check a compliance report before they believe it. The team is deliberately lean and runs with high autonomy. You'll help define the endpoint roadmap, make architecture decisions, and own the platform every Anthropic employee's work runs on. You'll also help us meet the security standards our Responsible Scaling Policy requires as models advance. Responsibilities Own endpoint configuration as code: author, review, test, and progressively roll out MDM policies, configuration profiles, and remediation scripts across macOS and mobile, with canary stages and rollback built in Operate the MDM platform itself as a production service, including infrastructure as code, observability, upgrades, and incident response Build patch management automation with rapid enforcement timelines while maintaining good user experience Design zero touch provisioning that turns a sealed box into a productive machine on day one Support a small number of Linux machines alongside the Mac fleet Turn fleet telemetry into policy, dashboards, and early drift warnings, and use Claude to automate manual ops work Partner with Corporate Security on endpoint hardening, binary authorization, and compliance controls Take shifts on the team's rotation for incoming requests and escalations, and serve as the deep escalation tier for endpoint issues IT Operations can't resolve You may be a good fit if you Have 8+ years building secure IT systems in complex environments, including leading projects across multiple teams Have managed endpoint fleets of thousands of macOS devices through a modern MDM Treat endpoint configuration as code that is version controlled and peer reviewed, rather than clicking in consoles Go deep on macOS internals such as launchd, configuration profiles, TCC, and system extensions Write Python and shell scripts Write design docs and runbooks so teammates can review and support what you build Strong candidates may also have Have operated an MDM or device management platform as a service, not only consumed one as SaaS Have worked with open source endpoint and device management tooling (Munki, osquery, AutoPkg) Have built automated, progressive rollout systems with promotion gated on telemetry Have experience running infrastructure as code in a public cloud Have working knowledge of Linux administration (packaging, systems, config management) Have used LLMs to automate ops work Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Разрабатывать человекоподобных чат-ботов, которые не только ведут естественный диалог, но и инициируют и выполняют пользовательские сценарии внутри продукта — Участвовать в архитектуре и разработке интеллектуальной системы перевода, сохраняющей смысл, тон и стиль — Проводить эксперименты и внедрять ML/NLP-функции в продакшен с высокой стабильностью и измеримыми результатами — Работать с командами продукта и инженерии для обеспечения быстрой, точной и надежной интеграции ML-компонентов с бэкенд-сервисами — Отвечать за полный жизненный цикл ML-функций: сбор данных, эксперименты, обучение моделей, деплой, мониторинг и улучшение качества Требования: — Опыт разработки на Python и поддержки production-сервисов от 3 лет — Опыт веб/API разработки: REST, версионирование, логирование, наблюдаемость — Уверенные навыки Pandas, NumPy и SQL — Опыт решения реальных ML-задач (NLP/CV) в продакшен-проектах от 1 года — Опыт с TensorFlow, Keras и/или Hugging Face — Понимание практик деплоя и мониторинга моделей — Знание GIT, HTTP(s), JSON/XML и базовых сетевых протоколов (TCP/IP) — Понимание основ SDLC, code review и CI/CD пайплайнов — Знакомство с архитектурами на базе LLM: prompt engineering, RAG/fine-tuning, интеграция с бэкендом — Опыт создания интеллектуальных чат-ботов, выполняющих реальные действия в продукте, а не только FAQ или поддерживающих ботов Плюсы: — PyTorch, SciPy, OpenCV, Matplotlib, LangChain или LlamaIndex — Docker, NoSQL или векторные базы данных (Weaviate, PGVector, Milvus) — Базовые знания JavaScript для интеграции ML-сервисов с фронтендом — Генерация изображений на основе диффузии (Flux, LoRA, оптимизация инференса) — Автоматизированные фреймворки оценки LLM, включая офлайн/онлайн тестирование и A/B тесты — Опыт работы с мультимодальными моделями (текст↔изображение, vision-language) Условия: — Удалённая работа — Зарплата от $10,000 gross — 2 недели оплачиваемого отпуска в год — Оплачиваемые больничные — Профессиональные курсы за счёт компании — График работы: воскресенье–четверг, 10:00–19:00 по израильскому времени

Location: United Kingdom; Poland; Portugal; France; Spain; Germany; Italy; The Netherlands Workplace: Remote Recognised on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.   WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them 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 eligible team member who joins our company receives equity. - 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.

Location: Worldwide Workplace: remote We are looking for a Data Engineer to join our team.Requirements: 3+ years of experience in data engineering; Strong SQL: complex analytical queries and query optimization; Strong Python: solid fundamentals and hands-on experience with DE libraries (e.g., pandas, SQLAlchemy, PySpark); Software engineering background: you write production-grade Python, not just scripts (OOP, app architecture, testing, Git, CI/CD); Hands-on experience with Airflow (building and maintaining DAGs); Experience with dbt (models, tests, macros); ClickHouse: table engines, Materialized Views, performance tuning; Kafka: producers/consumers, topics and partitioning, delivery guarantees; Experience with data quality tools (e.g., dbt tests, Great Expectations, Soda); Solution-oriented mindset and ownership of results.Responsibilities: Support and develop our in-house data enrichment solution built on event sourcing; Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views; Implement data quality checks for Airflow DAGs and ClickHouse MVs; Automate repetitive tasks and establish Data Engineering best practices and standards; Write and maintain technical documentation.We offer:High salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

Location: Limassol, Cyprus We are looking for a Data Engineer to join our team.Requirements: 3+ years of experience in data engineering; Strong SQL: complex analytical queries and query optimization; Strong Python: solid fundamentals and hands-on experience with DE libraries (e.g., pandas, SQLAlchemy, PySpark); Software engineering background: you write production-grade Python, not just scripts (OOP, app architecture, testing, Git, CI/CD); Hands-on experience with Airflow (building and maintaining DAGs); Experience with dbt (models, tests, macros); ClickHouse: table engines, Materialized Views, performance tuning; Kafka: producers/consumers, topics and partitioning, delivery guarantees; Experience with data quality tools (e.g., dbt tests, Great Expectations, Soda); Solution-oriented mindset and ownership of results.Responsibilities: Support and develop our in-house data enrichment solution built on event sourcing; Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views; Implement data quality checks for Airflow DAGs and ClickHouse MVs; Automate repetitive tasks and establish Data Engineering best practices and standards; Write and maintain technical documentation.We offer:High salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Global Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. We're looking for a Senior Machine Learning Engineer to join our London office as part of a Global DoorDash Engineering team (working hybrid, 3 days in the office). This role sits in our Consumer Org, where you'll work on recommendation problems with direct, measurable impact on how customers discover relevant content. You’ll collaborate with experienced scientists and engineers across DoorDash, Deliveroo and Wolt, learning from multiple recommendation systems while helping shape the next generation of the experience. What You'll Be Doing Design, develop and improve recommendation, ranking and retrieval models that surface relevant restaurants, dishes, items and content to customers. Own applied ML problems end to end: frame the problem, analyze data, develop models, define offline evaluation, run experiments and monitor production performance. Develop methods that balance relevance with product and customer needs, such as diversity, availability, business constraints and changing user intent. Collaborate closely with Software Engineers, ML Engineers, Product Managers and Analysts to turn scientific insights into reliable customer-facing products. Evaluate and apply state-of-the-art ML methods where they meaningfully improve recommendation quality, robustness or efficiency. Contribute to a high bar for applied-science practice through technical reviews, knowledge sharing and thoughtful experimentation. What You'll Need to Thrive You have substantial hands-on experience applying machine learning to real-world problems and a track record of bringing models from development into production; a PhD with relevant applied research experience is equally welcome. You have experience with recommendation systems, ranking, retrieval, personalisation, or closely related ML problems. You can independently turn an ambiguous customer or product problem into a well-scoped ML approach, make sound trade-offs and drive it to a measurable outcome. You are proficient in Python and experienced with modern ML frameworks and large-scale data processing. You understand how to evaluate ML systems rigorously, including offline metrics, experiment design and interpreting online results. You communicate complex technical ideas clearly and work effectively with cross-functional partners. Why Join Us? At Deliveroo, you'll do work that matters—solving real-world problems in a three-sided marketplace that's constantly evolving. We're food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you're rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: New York; Detroit; Canada; Austin; Phoenix; Los Angeles; San Francisco; Dallas Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - ML Engineering: Own the ML pipeline end to end (data, training, evaluation), and fine-tune or train custom models when off-the-shelf ones fall short. Track the state of the art closely enough to apply what genuinely improves our products. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Applied ML experience in Python (Jupyter, PyTorch, common ML libraries), hands-on with compute clusters (Ray, Slurm), and designs trustworthy experiments to drive architectural decisions Nice to have - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience with embedding-based systems (retrieval, ranking, recommenders) and the representation-learning ideas underneath them 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 eligible team member who joins our company receives equity. - 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.

Location: San Francisco, CA; New York, NY; Toronto Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO - Design and deliver production-grade AI agents https://sierra.ai/blog/meet-the-ai-agent-engineer: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. - Drive the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way. - Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency. - Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product. EXAMPLE PROJECTS These are some examples of projects that engineers on our team have worked on recently: - Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churn - Develop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendations - Create generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services! - Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent development - Experiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customers WHAT YOU'LL BRING - Language fluency - professional fluency in both Spanish and English - Experience building and scaling end-to-end production systems - Strong technical problem-solving skills, especially in fast-changing, ambiguous environments - A builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and ship - Comfort working directly with customers to understand their needs and solve real-world problems - Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences EVEN BETTER... - Experience building or deploying AI/LLM systems in production - Have been a founder or founding engineer - you know what it means to balance craft, ownership, and speed - Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering - Prior experience with React, TypeScript, and/or Go - Previous roles where you interfaced with customers or led technical projects with external stakeholders OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Crete, Greece; Athens, Greece; Aya Napa, Cyprus; Larnaca, Cyprus; Nicosia, Cyprus; Limassol, Cyprus; Paphos, Cyprus; Paralimni, Cyprus Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Digital Analytics Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities: Support enterprise clients in solving data-related challenges across digital analytics, data warehousing, AI, and data product development. Work with proprietary data and AI solutions, including a Customer Data Platform processing over 137 million digital sessions per month and AnalyticsAI, a GenAI platform designed to automate analytics tasks. Collaborate with leading enterprise clients, including Publicis, Philip Morris across seven markets, Eurobank, Piraeus Bank, DEH, and OPAP. Good communication skills and strong English, both written and spoken. At least 1 year of professional experience as a Data Engineer or Analytics Engineer. Hands-on experience with Google Analytics. Strong ability to take ownership and complete tasks from start to finish. Open to using and working with AI technologies. Some front-end development experience. Based in Greece or Cyprus.

Задачи: — Разрабатывать и совершенствовать платформу данных электронной коммерции нового поколения — Проектировать и разрабатывать ETL пайплайны на Airflow для Spark (Batch, Streaming), Iceberg, Trino — Оптимизировать действующие пайплайны и джобы на Spark, мониторить нагрузку на кластер и оптимальность ресурсов, при необходимости оптимизировать — Взаимодействовать с аналитиками и ML специалистами для создания и развертывания инструментов и наборов данных, поддерживать связи с data ops для развития дата-платформы — Анализировать и внедрять инструменты инжиниринга данных (Lineage, DQ) — Проектировать хранилища данных на основе Kubernetes, настраивать производительность, мониторинг, планировать емкости кластера и инфраструктуры — Решать задачи, связанные с внедрением облачной инфраструктуры, разрабатывать новую архитектуру хранилища — Проводить code review и участвовать в архитектурных решениях по дата платформе Требования: — Понимание ресурсной модели Kubernetes, просмотр конфигураций, troubleshooting — Опыт работы с Hadoop (HDFS, Hive Metastore) — Опыт работы со Spark (spark SQL, streaming, понимание нюансов работы с pyspark) — Владение процедурами, snapshots, maintenance Apache Iceberg — Глубокое понимание Airflow (версии 2, 3), включая идемпотентность, assets, backfills — Уверенное знание Git, CI/CD — Знание Python, Scala/Java, ООП, проектирование библиотек, интеграционные и юнит тесты — Хорошее понимание СУБД, SQL Будет плюсом: — Опыт работы с Docker для поднятия локального окружения проекта — Опыт работы с Kafka, понимание архитектуры и слабых мест — Опыт с облачными технологиями, преимущественно Yandex Cloud — Опыт с Clickhouse — AI-native подход к разработке: использование Claude Code / Codex и подобных инструментов, опыт построения harness-систем — агентов с инструментами, автоматизации через LLM, RAG

Location: Warsaw As a Developer Support Engineer, you’ll be a trusted technical partner for developers and customers integrating with the Asana platform. You’ll focus on API-related troubleshooting, developer workflows, and integration challenges - helping customers build reliably and confidently on top of our APIs. This is a hands-on role requiring basic programming skills, strong analytical skills, API debugging expertise, centered on delivering high-quality, developer-first support, combining technical depth with clear, empathetic communication. In this role, you’ll work closely with customers to understand their use cases, diagnose complex technical issues, and advocate for improvements to our APIs and platform capabilities. You’ll collaborate cross-functionally with Engineering, Product, and Developer Relations to drive scalable solutions, share developer insights, and improve the overall integration experience. You’ll thrive here if you’re technically curious, detail-oriented, and passionate about helping developers succeed through thoughtful, durable solutions—not just quick fixes. This role is based in our Warsaw office with an office-centric hybrid schedule. Along with most Asanas, you’ll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. You will: Provide technical support to customers, including debugging, troubleshooting and resolving API-related issues. Given the complexity and breadth of Asana's use across many industries, this is not a typical "question and answer" support role. Triage and escalate API-related bugs and critical issues to R&D teams. Support developers through email, our community forum, and live chat, ensuring they can successfully build on our platform. Monitor internal Slack channels for urgent API support requests. Collaborate with R&D teams to understand our API and influence improvements based on customer feedback. Assist with API releases by communicating changelog updates and deprecation notices. Review and approve third-party app integrations based on security and compliance guidelines. Update developer documentation to clarify API usage and best practices. Act as a liaison between API teams and Customer Support to ensure smooth communication about upcoming releases and changes. Provide customer communication support during incidents involving API, webhooks, or event streams. About you: 3+ years of experience in technical support, developer support, application development or a related role. Experience developing or integrating applications using APIs (including personal projects). Strong written and verbal communication skills in English, with the ability to explain technical concepts to both technical and non-technical audiences. Strong understanding of REST API fundamentals (HTTP methods, JSON, pagination, query parameters, request bodies/responses). Ability to write and debug scripts in JavaScript or Python to interact with APIs. Excellent troubleshooting and debugging skills, with the ability to interpret error messages and resolve API-related issues. Experience working cross-functionally with engineering, product, and support teams. Comfortable with and has experience working in fast-paced, agile, and ambiguous environments while working in a consultative manner with customers Nice to have: Understanding of OAuth concepts and authentication protocols. Basic Git proficiency. Familiarity with webhooks and event-driven architectures. Experience with command-line tools and basic Linux/Unix navigation. Prior experience in developer relations, technical writing, or API advocacy. Experience working with the Asana API or similar productivity tool APIs. Experience with PowerBI and/or Tableau custom connectors Public speaking, blogging, or content creation about technical topics. What we offer Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) Contract of Employment ( with 50% tax deductible costs for author’s rights usage for Engineers) Health insurance with dental and travel coverage (Lux Med) Lunch catering on the days that you work from the office Career growth budget Home office setup budget Gym/Fitness reimbursement Fertility healthcare and family-forming support with Carrot Mental health support in Modern Health Group life insurance MacBooks with all necessary accessories For this role, the estimated base salary range is between 13 500 - 14 650 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Singapore 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. Mechanical Design Engineer – Data Centres Nebius We’re looking for a Mechanical Design Engineer to help shape the mechanical infrastructure supporting our data centre developments. You’ll contribute throughout the project lifecycle, from concept design and technical assessments through detailed design, construction and commissioning. Working alongside electrical engineers, IT infrastructure teams, external consultants and equipment suppliers, you’ll develop practical, scalable cooling solutions for high-density computing environments. This is an opportunity to influence engineering decisions, help develop design standards and see your work carried through into operating facilities. What you’ll do Develop and review mechanical designs for new data centres, expansions and upgrades. Produce and assess cooling calculations, equipment specifications, schematics, layouts and design documentation. Evaluate cooling systems, including chillers, pumps, heat exchangers, air-handling equipment and associated pipework. Support the integration of liquid cooling, coordinating the interfaces between facility systems, coolant distribution units and IT equipment. Assess capacity, redundancy, maintainability and system performance under normal operation, maintenance and failure conditions. Coordinate mechanical designs with electrical, structural, architectural and controls teams, including airflow, containment and plant-space requirements. Review consultant designs, supplier proposals and contractor submissions, resolving technical queries during procurement and construction. Support site assessments, installation reviews and commissioning to verify that systems meet the design requirements. Identify opportunities to improve energy and water efficiency, reduce lifecycle costs and standardise designs across projects. What you’ll bring A qualification in Mechanical Engineering, Building Services Engineering or equivalent practical experience. Experience designing mechanical systems for data centres or other mission-critical facilities. Strong knowledge of HVAC, cooling systems, heat transfer, fluid distribution and equipment selection. An understanding of resilient design and the operational requirements of facilities running continuously. Experience preparing or reviewing engineering calculations, technical specifications and construction documentation. Familiarity with mechanical controls and Building Management System interfaces. The ability to work effectively with consultants, contractors, suppliers and colleagues across engineering disciplines. Clear communication skills in English and willingness to travel to project sites when required. Useful additional experience Direct-to-chip liquid cooling or other cooling technologies for high-density AI and HPC environments. Thermal modelling, airflow analysis or computational fluid dynamics. BIM coordination and tools such as Revit or AutoCAD. Commissioning, integrated systems testing or operational troubleshooting. Professional engineering registration or relevant data centre qualifications. 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: Amsterdam, Netherlands 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. Mechanical Design Engineer – Data Centres Nebius We’re looking for a Mechanical Design Engineer to help shape the mechanical infrastructure supporting our data centre developments. You’ll contribute throughout the project lifecycle, from concept design and technical assessments through detailed design, construction and commissioning. Working alongside electrical engineers, IT infrastructure teams, external consultants and equipment suppliers, you’ll develop practical, scalable cooling solutions for high-density computing environments. This is an opportunity to influence engineering decisions, help develop design standards and see your work carried through into operating facilities. What you’ll do Develop and review mechanical designs for new data centres, expansions and upgrades. Produce and assess cooling calculations, equipment specifications, schematics, layouts and design documentation. Evaluate cooling systems, including chillers, pumps, heat exchangers, air-handling equipment and associated pipework. Support the integration of liquid cooling, coordinating the interfaces between facility systems, coolant distribution units and IT equipment. Assess capacity, redundancy, maintainability and system performance under normal operation, maintenance and failure conditions. Coordinate mechanical designs with electrical, structural, architectural and controls teams, including airflow, containment and plant-space requirements. Review consultant designs, supplier proposals and contractor submissions, resolving technical queries during procurement and construction. Support site assessments, installation reviews and commissioning to verify that systems meet the design requirements. Identify opportunities to improve energy and water efficiency, reduce lifecycle costs and standardise designs across projects. What you’ll bring A qualification in Mechanical Engineering, Building Services Engineering or equivalent practical experience. Experience designing mechanical systems for data centres or other mission-critical facilities. Strong knowledge of HVAC, cooling systems, heat transfer, fluid distribution and equipment selection. An understanding of resilient design and the operational requirements of facilities running continuously. Experience preparing or reviewing engineering calculations, technical specifications and construction documentation. Familiarity with mechanical controls and Building Management System interfaces. The ability to work effectively with consultants, contractors, suppliers and colleagues across engineering disciplines. Clear communication skills in English and willingness to travel to project sites when required. Useful additional experience Direct-to-chip liquid cooling or other cooling technologies for high-density AI and HPC environments. Thermal modelling, airflow analysis or computational fluid dynamics. BIM coordination and tools such as Revit or AutoCAD. Commissioning, integrated systems testing or operational troubleshooting. Professional engineering registration or relevant data centre qualifications. 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.