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Location: Intellias Meet your recruiter Samprati Muddalkar samprati.muddalkar@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Scala Engineer Senior India, Pune Hybrid APPLY NOW REFER A FRIEND Our client is a is a location data and technology platform company that empower customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. They create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us! As a Senior Backened Engineer in the Map Data Processing group you will develop smart Map Data processing tools for the state-of-the-art Mapping Technologies. You will work self-sustained in an agile team. Your responsibility will cover developing, extending and maintaining tool and services that processes map data for global navigational database. For that you will be translating product strategies into technology strategies, leading the long-term architectural direction and helping design and build industry-grade customer-facing geo-data-intensive products. You will work closely with other engineering & operations teams, internal users of tool chains your team develops and partner with product managers and the larger map operations business units. What project we have for you Join our engineering organization to build the next generation of automated map data processing for a global provider of location and mapping solutions used in automotive and mobility. You will work on the platform — a system that takes road data from multiple sources (GPS traces, traffic signs, open map data), detects errors in the map, and either auto-corrects them or flags them for human review. The platform produces quality signals and road attribute corrections that feed directly into navigation and autonomous driving products. Working as part of an agile, cross-functional team on Rakhee’s team, you will build and maintain backend services and distributed data pipelines that keep this platform accurate, reliable, and ready for production load. The primary language on this team is Scala — strong engineers in either language are welcome. What you’ll work on: Distributed batch pipelines for large-scale road dataset processing (Spark on EMR) Error detection, confidence-based auto-fix logic, and manual review workflows for map attributes Data validation, quality gates, and traceability across the pipeline Cloud-native execution environments (infrastructure automation, CI/CD, operational readiness) Technologies: Scala Python( Good to have) Apache Spark Kafka SQL / PostgreSQL AWS (Step Functions, ECS, Lambda, EMR) Apache Airflow Java ( Good to have) CI/CD (GitHub / GitLab) What you will do Design and implement scalable backend services and data processing pipelines Contribute to architecture and design discussions with reasoned technical input Own delivery end-to-end: development, testing, performance optimization, and production support readiness Implement and maintain testing practices (Unit, Integration, E2E) for owned components Contribute to monitoring, alerting, and observability of production systems Improve code quality via reviews, automated testing, and engineering best practices Contribute to estimations, planning, and iterative delivery in an Agile/Scrum process Share knowledge and support junior team members’ growth What you need for this Required Skills 5+ years building backend systems with Scala as your primary language (strong core competency in one — not a shallow familiarity in both) Distributed data processing — Apache Spark or equivalent (production usage required, regardless of whether your primary language is Scala or Python) Kafka — event-driven architecture, producers/consumers, production usage AWS — practical experience with EMR, Step Functions, ECS, or Lambda Strong SQL and data modeling — ideally PostgreSQL (schema design, query optimization, indexes) Solid knowledge of data structures, OOP, and design patterns Good understanding of concurrency and multithreading concepts LLD: modular architecture, clean abstractions, component design API design awareness: RESTful services, backward compatibility Testing strategy: unit, integration, E2E — deliberate approach to coverage Monitoring & observability: logging, metrics, alerting, dashboards in production systems CI/CD pipelines (GitHub / GitLab) and engineering best practices English: Upper Intermediate+ (written and spoken) Nice to Have The other primary language — if your primary is Scala, Python is a plus; if your primary is Python, Scala is a plus Java Apache Airflow or similar pipeline orchestration LLM/MCP tooling experience Experience with geospatial/map-related data or large-scale data quality systems What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills Apache AWS BigData DataEngineer EMR Kaffka Scala Spark

We’re looking for a Business Analyst to join our Antifraud team.

Location: European Union About CAST AI CAST AI is an automation platform that optimises cloud and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, CAST AI continuously improves performance, reliability and efficiency in production. More than 2,100 companies already rely on CAST AI, including Akamai, BMW, Cisco, FICO, Hugging Face, NielsenIQ, Swisscom and TGS. CAST AI operates across 34 countries and has a remote-first culture built around small, highly technical teams. In January 2026, the company achieved unicorn status following a strategic investment from Pacific Alliance Ventures, bringing its valuation above $1 billion. About the role Databases are still managed manually. Engineers monitor slow queries, decide which indexes to add, tune connection limits and introduce caching, often without being able to prove whether those changes will improve performance in production. CAST AI is building an autonomous database administrator that can identify problems, recommend improvements and validate that those improvements work before customers rely on them. As a Senior Software Engineer on the Database Optimisation team, you will work across two core components: Database Gateway: A high-performance Rust proxy that sits in front of customer databases and provides capabilities such as rate limiting and caching without requiring application changes. Database Agent: A Go-based service that analyses database workloads and produces recommendations such as index suggestions and query improvements. The focus is not simply producing recommendations. Every recommendation needs to be reliable and validated. A stale read, incorrect cache decision or poor index suggestion can affect a customer’s production system, so correctness is central to the role. You will help shape the architecture, technical direction and roadmap of the autonomous DBA product. What you will do - Design, build and operate the Database Gateway. - Develop high-performance services in Go and Rust. - Work on database caching, rate limiting and other gateway capabilities. - Build the Database Agent’s recommendation engine. - Develop systems for index suggestions, query analysis and query improvements. - Work on cache invalidation and data consistency, where correctness is critical. - Create methods for safely validating database recommendations before they are applied. - Debug complex production issues across the gateway, agent and underlying database systems. - Analyse database performance, query behaviour and workload patterns. - Collaborate with product and engineering teams on problems without established solutions. - Contribute to product direction, technical decisions and the engineering roadmap. - Help shape the next generation of automated database administration. What we are looking for - Strong software engineering fundamentals, including clean abstractions and maintainable code. - Professional experience building production services in Go. - In-depth knowledge of PostgreSQL or MySQL. - Understanding of how database clients, drivers and wire protocols work. - Strong debugging, optimisation and performance-tuning skills. - Experience with query profiling, index design and database tuning beyond ORM usage. - Experience taking a complex technical project from design through to production. - Strong written and spoken English. - A proactive and adaptable approach to working in a fast-moving environment. - Comfort working with ambiguity and contributing to technical direction. Nice to have - Rust experience, particularly with high-performance network services or proxies. - Experience building or extending database proxies, gateways or poolers. - Experience designing cache invalidation strategies at scale. - Experience with index recommendation, query-plan analysis or query optimisation tooling. - Experience validating technical changes through workload replay, shadow traffic or benchmarking. - Production experience with Prometheus, Grafana or OpenTelemetry. - Experience working with Kubernetes and cloud infrastructure. Technology - Go and Rust - PostgreSQL and MySQL - Kubernetes - AWS, GCP and Azure - Terraform - gRPC and REST - Prometheus, Grafana, Loki, Tempo and VictoriaMetrics - GitLab CI and Argo CD What we offer - €6,500 to €9,000 gross per month, depending on experience and level - Remote-first work environment - Equity options - Global team of cloud and infrastructure specialists - Fast feedback and short delivery cycles, with many feature projects completed within one to four weeks - 10% of working time for personal projects or professional development - Annual learning budget, including conferences and courses - Annual hackathon - Team-building budget and company events - Equipment budget - Additional days off Hiring process - Recruiter screening call - Hiring Manager interview - Technical system design interview - Live coding interview - Executive culture interview A background check may be conducted at the final stage through our third-party provider, Checkr. CAST AI does not provide visa sponsorship or work permits for this position. This opportunity is currently open to candidates residing in: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia and Ukraine.

Location: London, United Kingdom 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. Deliveroo's Enterprise Systems Engineering team builds and runs the tools our employees use every day: Google Workspace, Slack, Atlassian, identity, and device management. We lean toward building: less "click through the admin console," more writing the automation, integrations, and services that make those platforms work at scale. The team's priorities span a few ongoing areas of work, including: Platform consolidation and integration as Deliveroo continues to grow, including through acquisition. Employee-focused AI tooling that helps people work more efficiently. The communication and collaboration platforms the whole company relies on (Google Workspace, Slack, Atlassian, and similar). Building tools and automation that remove manual work from how the team and company operate. You'll bring real technical strength in one or more of these areas. Some of the work will be clearly scoped; some of it won't be. Working through ambiguous, not-yet-defined problems is part of the role, this is complex, genuinely challenging territory, and a place to learn and grow. You won't be doing that alone: you'll work with senior engineers to break ambiguous problems down, and build your own ability to do that independently over time. It's a hands-on engineering role: you'll be building real pieces of this work yourself, not primarily administering platforms by hand or managing support tickets. What you'll do Take on projects ranging from clearly scoped to genuinely ambiguous, working with senior engineers to break down the harder ones, and growing your own ability to do that over time. Build automation and tooling that removes manual work from how we run our SaaS and identity platforms. Help administer and support platforms such as Google Workspace, Slack, Atlassian, and our identity systems, including day-to-day troubleshooting. Write clear documentation for the work you do, so others can pick it up. Work with teammates, Security, People, and Corporate Development/M&A stakeholders to understand requirements before you build. Use GenAI tools (e.g. Claude, ChatGPT) to automate repeatable parts of your own work, like scripting, research, and documentation. Build technical depth in one or more of the team's core platform areas over time. What you'll need We're looking for someone who can learn our environment and grow into these areas, not someone who's already used every platform in our stack. Solid experience administering and working on projects with enterprise SaaS platforms such as Google Workspace, Slack, Atlassian etc. Experience with identity and SSO systems (e.g. Okta) Software engineering or scripting skills in Python, Go, JavaScript, or other general-purpose languages and experience with the APIs of the team's core platforms above. Proficiency in using AI coding tools (e.g. Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software. AI is your default way of working, not an add-on. Good to have Familiarity with public cloud platforms (AWS, GCP, or Azure). Exposure to device management/MDM and VDI. Knowledge of data security and identity best practices. Experience troubleshooting browser-based applications. Experience with Google Workspace developer tools (Apps Script, Workspace APIs). 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: Kansas City, Missouri, 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. About the role Duration: 3 months Start date: January 2027 Compensation: Paid Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization: Permitted to work in the job's location Program Overview The Nebius IT Data Center Technician Early Talent program is a structured 3-month work experience designed to introduce early-career candidates to hands-on enterprise data center operations. Early talent participants are embedded on the data center floor as active team members alongside experienced DC Technicians and senior operations staff. Over the program, participants develop foundational technical skills, learn Nebius operational standards and safety procedures, and progress from fully supervised tasks toward working with increasing independence as their competency is demonstrated and validated. What You Will Do As an IT Data Center Technician Early Talent participant, you will work on the data center floor under the direct guidance of an experienced DC Technician. All hands-on work begins under close supervision. As you demonstrate proficiency and adherence to Nebius safety and operational standards, you will progressively take on tasks with greater independence — working toward completing assigned activities with minimal supervision by end of program. Hardware & Infrastructure Learn to identify, handle, and document server components, rack hardware, and data center equipment under direct technician supervision. Observe and assist with physical installation, cabling, and labeling of server hardware in rack enclosures under guidance. Assist with hardware inventory counts, asset tagging, and equipment tracking tasks as directed. Shadow and support technicians during component replacements, hardware decommissions, and equipment staging activities. Begin performing basic rack and stack tasks independently once foundational procedures have been trained and validated. Cabling & Connectivity Learn copper and fiber cabling standards, patch cord management, and labeling practices used at Nebius data center sites. Assist with cable organization, dressing, and documentation under direct technician guidance. Support connectivity checks and basic cable tracing tasks as assigned. Documentation & Ticketing Learn to use Nebius ticketing and asset management systems for logging work, updating hardware records, and tracking assigned tasks. Assist with documentation of equipment configurations, cable layouts, and maintenance activities under technician review. Begin entering and updating tickets independently for assigned work items once system proficiency is demonstrated. Safety & Operational Standards Complete all required Nebius data center safety training, site access procedures, and equipment handling certifications at program start. Follow all safety protocols, access controls, and site procedures at all times while on the data center floor. Never work unsupervised on live infrastructure or perform any task outside your validated scope without direct technician authorization. Observe and learn Nebius operational standards including shift handoff procedures, escalation practices, and incident documentation. Learning & Development Participate in structured weekly check-ins with your assigned DC Technician mentor to review skill progression and address questions. Complete assigned Nebius training modules covering hardware fundamentals, data center operations, and safety throughout the program. Shadow senior technicians during escalated incidents, complex deployments, and hardware troubleshooting activities to build technical awareness. Actively engage during shadowing activities and take initiative in building your technical knowledge base throughout the 3 months. Supervision & Progression Early talent participants begin under close, continuous supervision for all data center floor activities. This is not a desk-based or observation-only role — you are an active participant on the floor from day one. Progression follows a structured competency model: Weeks 1–3: Orientation and shadowing. All tasks under direct supervision with step-by-step guidance. Focus on safety, site familiarity, system access, and equipment identification. Weeks 4–7: Assisted execution. You perform assigned tasks with your mentor present and reviewing all completed work before sign-off. Weeks 8–10: Supervised independence. You complete defined tasks independently within your validated scope, checking in at key milestones. Technician remains nearby and available. Weeks 11–12: Demonstrated competency. Qualified participants work with minimal supervision on fully validated tasks; technician oversight maintained for any task outside established scope. Progression is based on demonstrated proficiency and adherence to Nebius standards — not time served. Participants who complete the program with strong evaluations will be considered for the Nebius early talent pipeline. Core Physical Requirements Ability to stand and remain on your feet for extended periods during active floor operations. Ability to safely lift and position equipment up to 50 pounds unassisted; heavier loads with team-lift support. Comfortable working at heights including ladders, raised platforms, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within rack enclosures, and in cable management pathways. Comfortable in environments with variable temperatures including cold aisle containment zones. Manual dexterity to handle small form-factor components, precision cabling, and fine connector installations. Ability to push or pull equipment carts and server sleds up to 500 pounds on level surfaces. Compensation We offer competitive salaries, ranging from $48k- $72k OTE (On Target Earnings) based on your experience Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. 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 $48,000 — $72,000 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: Minnesota, 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. About the role Duration: 3 months Start date: January 2027 Compensation: Paid Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist Work authorization: Permitted to work in the job's location Program Overview The Nebius IT Data Center Technician Early Talent program is a structured 3-month work experience designed to introduce early-career candidates to hands-on enterprise data center operations. Early talent participants are embedded on the data center floor as active team members alongside experienced DC Technicians and senior operations staff. Over the program, participants develop foundational technical skills, learn Nebius operational standards and safety procedures, and progress from fully supervised tasks toward working with increasing independence as their competency is demonstrated and validated. What You Will Do As an IT Data Center Technician Early Talent participant, you will work on the data center floor under the direct guidance of an experienced DC Technician. All hands-on work begins under close supervision. As you demonstrate proficiency and adherence to Nebius safety and operational standards, you will progressively take on tasks with greater independence — working toward completing assigned activities with minimal supervision by end of program. Hardware & Infrastructure Learn to identify, handle, and document server components, rack hardware, and data center equipment under direct technician supervision. Observe and assist with physical installation, cabling, and labeling of server hardware in rack enclosures under guidance. Assist with hardware inventory counts, asset tagging, and equipment tracking tasks as directed. Shadow and support technicians during component replacements, hardware decommissions, and equipment staging activities. Begin performing basic rack and stack tasks independently once foundational procedures have been trained and validated. Cabling & Connectivity Learn copper and fiber cabling standards, patch cord management, and labeling practices used at Nebius data center sites. Assist with cable organization, dressing, and documentation under direct technician guidance. Support connectivity checks and basic cable tracing tasks as assigned. Documentation & Ticketing Learn to use Nebius ticketing and asset management systems for logging work, updating hardware records, and tracking assigned tasks. Assist with documentation of equipment configurations, cable layouts, and maintenance activities under technician review. Begin entering and updating tickets independently for assigned work items once system proficiency is demonstrated. Safety & Operational Standards Complete all required Nebius data center safety training, site access procedures, and equipment handling certifications at program start. Follow all safety protocols, access controls, and site procedures at all times while on the data center floor. Never work unsupervised on live infrastructure or perform any task outside your validated scope without direct technician authorization. Observe and learn Nebius operational standards including shift handoff procedures, escalation practices, and incident documentation. Learning & Development Participate in structured weekly check-ins with your assigned DC Technician mentor to review skill progression and address questions. Complete assigned Nebius training modules covering hardware fundamentals, data center operations, and safety throughout the program. Shadow senior technicians during escalated incidents, complex deployments, and hardware troubleshooting activities to build technical awareness. Actively engage during shadowing activities and take initiative in building your technical knowledge base throughout the 3 months. Supervision & Progression Early talent participants begin under close, continuous supervision for all data center floor activities. This is not a desk-based or observation-only role — you are an active participant on the floor from day one. Progression follows a structured competency model: Weeks 1–3: Orientation and shadowing. All tasks under direct supervision with step-by-step guidance. Focus on safety, site familiarity, system access, and equipment identification. Weeks 4–7: Assisted execution. You perform assigned tasks with your mentor present and reviewing all completed work before sign-off. Weeks 8–10: Supervised independence. You complete defined tasks independently within your validated scope, checking in at key milestones. Technician remains nearby and available. Weeks 11–12: Demonstrated competency. Qualified participants work with minimal supervision on fully validated tasks; technician oversight maintained for any task outside established scope. Progression is based on demonstrated proficiency and adherence to Nebius standards — not time served. Participants who complete the program with strong evaluations will be considered for the Nebius early talent pipeline. Core Physical Requirements Ability to stand and remain on your feet for extended periods during active floor operations. Ability to safely lift and position equipment up to 50 pounds unassisted; heavier loads with team-lift support. Comfortable working at heights including ladders, raised platforms, and elevated data center infrastructure. Ability to work in confined spaces such as under raised floors, within rack enclosures, and in cable management pathways. Comfortable in environments with variable temperatures including cold aisle containment zones. Manual dexterity to handle small form-factor components, precision cabling, and fine connector installations. Ability to push or pull equipment carts and server sleds up to 500 pounds on level surfaces. Compensation We offer competitive salaries, ranging from $48k- $72k OTE (On Target Earnings) based on your experience Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. 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 $48,000 — $72,000 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: Москва Наша команда развивает мобильное приложение и веб-личный кабинет для клиентов страховой компании. Это масштабный и амбициозный проект, направленный на повышение качества клиентского опыта и цифровизацию страховых сервисов. Мы помогаем клиентам получать консультации в чате и с помощью виртуального ассистента, просматривать информацию о страховых полисах, а также пользоваться сервисами постпродажного обслуживания и сопровождения страховых случаев. Проект разрабатывается с нуля, поэтому в нём минимальное количество legacy-кода и технических ограничений. Мы используем современные технологии, открыты к новым идеям и ценим инициативу каждого участника команды. Обязанности * Создание, доработка и актуализация тестовой модели (сценариев тестирования) * Разработка автотестов согласно тестовой модели * Взаимодействие с поставщиками решений * Проведение manual и auto-тестирования функционала ПО * Составление отчетов по обнаруженным дефектам и фиксация ошибок в трекинговую систему Jira * Анализ результатов и показателей проведенных тестов * Проведение повторных тестов на отсутствие найденных ошибок/по исправлениям найденных ошибок Требования * Опыт работы тестировщиком от 3 лет (желательно в страховании/банковской сфере) * Умение работать самостоятельно, консультировать коллег * Понимание жизненного цикла и этапов разработки ПО * Знание базовой теории тестирования, умение работать с Jira * Знание технологий и методик в области тестирования, актуальных инструментов для проведения ручного и автоматического тестирования * Знание систем bug-рэкинга * Навыки работы с HTTP и кодами ответов сервера (желательно) * Знание языков Kotlin и SWIFT * Знание SQL на уровне простых запросов (желательно) * Опыт работы в Agile/SCRUM * Опыт использования в работе инструментов Postman, Charles Знание и понимание системы CI&CD: GitLab, Bitbucket, Docker, или их аналогов * Инструментальное владение AI для анализа, генерации и автоматизации Условия * Гибридный формат работы (современный офис в Москве, Олимпийский проспект 14) * Льготные ипотечные условия кредитования * Бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров: Okko, Сбер Маркет, Мега Маркет, Самокат, Еаптека и другие * ДМС с первого дня и скидки на страхование для близких * Корпоративная пенсионная программа * Детский отдых и подарки за счет Компании * Обучение за счет Компании: онлайн курсы, неограниченный доступ к библиотеке и обучение на базе Корпоративного университета, тренинги, митапы и возможность получить новую квалификацию

Location: Pasig, Metro Manila, Philippines KEY RESPONSIBILITIES: Identify, plan and implement key projects to improve quality, reduce costs, increase productivity and improve cycle time resulting in significant business improvement and customer satisfaction. Responsible for targeting completion of process improvement projects within a specified time frame while achieving a cost reduction goal. Develop and co-ordinate the performance excellence / performance improvement vision and deployment planning as defined by the Executive Team. Achieve buy-in from all decision makers for the successful application of performance excellence / performance improvement. Create team processes for optimizing results. Actively lead projects and provide individual contributions after key projects have been identified. Liaison with finance and other members of the organization in assessing, tracking and reporting the financial benefit of a Performance Excellence project. Provide management with project status updates, feedback, and appropriate reporting on key responsibilities and objectives. Provide therapeutic areas (e.g. Pain, Digestive Health, Smoking Cessation or UR/Allergy) knowledge support and clarification of science as needed and contributes to research activities via scientific publications. Conduct and evaluate literature searches and analyze scientific literature. Create standard language for product information reference manuals including FAQs for new product launches, media issues, and publications. Provide medical support in reviewing the printed packaging components, labeling, and compendia. Collaborate with physicians as the medical representative on cross functional teams (copy clearance committees) to both marketed products and support new marketed concepts for promotional and non-promotional pieces to ensure medical/scientific accuracy. Participate in creation of medical training materials and programs that are used to support initial and ongoing training for new employees. Train employees who require in-depth scientific/medical knowledge of relevant products/therapeutic areas and in support of local and regional speakers upon solicited requests. Create and develop strategically targeted information in response to published scientific literature, news media releases, marketing initiatives, product recalls, or new or highly publicized medical discoveries or information. Contribute to research activities via scientific publications Attend key medical/pharmacy professional meetings to gain knowledge related to therapeutic areas in relevant markets. Research educational and technical materials in support of local and regional speakers upon solicited request. Assist in generating basic periodic or aggregate safety reports, regulatory submissions, PSURs, annual reports, CCDS. Support Investigator initiated studies including correspondence with investigators, researching the investigator site and facilitating review and approval of IIS proposals. Support epidemiologic (or evidence based) assessments, as needed, on health-related medical topics relevant to consumer products such as OTCs, skin care and oral health products, from the perspective of the epidemiology of the condition or the epidemiology issues involved in its measurement Contribute to research activities via epidemiologic and scientific publications in general and in support of statistical risk assessment. This role also involves: Effectively organize work to complete the assigned tasks to meet deadlines • Ensure the assigned tasks are delivered 100% on time or before. Demonstrate Quality of Work & Commitment through excellence in work, ensure correctness and completeness in deliverables with minimum OR no re-work Support in review of work done by peer teammates, on need basis. Alerts and escalates to senior members as required, whenever project deliverable risks are visualized, OR issues encountered impacting the delivery schedule Ensure error free and acceptable quality in assigned deliverables Responsible to ensure training compliance and timesheet compliance Ensure that all assigned goals [e.g. utilization, quality and timeliness] are met as per set standards for the performance year Follow and comply with the Company’s Code of Conduct, Policies, and Procedures, Responsible for confidentiality, integrity, availability, and safeguarding of data, Responsible for reporting security incidents and PIMS breaches as applicable, Comply with company QMS, ISMS and PIMS requirements and applicable regulatory requirements, Demonstrate adherence and compliance to PIMS/GDPR requirements as follows: processed fairly, transparently, and lawfully; collected for specified and legitimate purposes; adequate, relevant, and limited to the specified purposes; processed in a secure manner. EXPERIENCE/ SKILLS/ QUALIFICATIONS: Bachelor’s Degree in Biology, Chemistry, Pharmacy or any science related course in alignment with project/business team requirements Minimum of 3 to 5 years of relevant experience in identified functional domain/ business workstream Demonstrated experience in authoring or contributing to scientific publications and peer-reviewed journals, medical writing, literature review, and comprehensive literature search activities.

Location: Portugal; Spain; France; Germany; Poland; United Kingdom As the Senior macOS QA Engineer, you will be responsible for validating the stability, security, and compatibility of a secure macOS platform used to protect sensitive systems. This is a hands-on manual and exploratory QA role (not an automation role) that requires deep, practical experience with macOS internals, system extensions, and application behavior. You will work alongside a highly experienced team of engineers and reverse engineers to design and execute manual test plans that dig into system extensions, inter-process communication, and low-level operating system behavior. If you thrive on identifying edge cases, love all things macOS, enjoy breaking complex systems in controlled ways, and have an investigative mindset for system behavior, this role is for you. This is not a fit if macOS has been a secondary platform, or if your experience is mainly iOS, web or automation. Responsibilities Test macOS security features spanning system extensions, Endpoint Security, and Network Extension frameworks. Design and execute manual test plans for system extensions, inter-process communication (XPC), and low-level operating system integration points. Explore and document edge cases, race conditions, compatibility scenarios, and regressions across macOS versions. Reproduce and isolate complex issues related to sandboxing, SIP and TCC interactions, Launch Services, and daemon behaviors. Work directly with development, support, product, and automation teams to triage, verify, and regress bugs and compatibility issues. Validate interactions between the platform and third-party macOS apps and services. Collaborate with SDETs to turn exploratory and regression cases into automation candidates. Maintain close familiarity with changes in macOS releases and how they may impact functionality and compatibility. Requirements 5+ years of QA experience with macOS applications, with a focus on security, system-level, or compatibility testing. Strong understanding of macOS internals, including System Extensions, Endpoint Security, XPC, TCC, SIP, Launch Services, and file systems. Familiarity with macOS diagnostic and monitoring tools such as Console, Activity Monitor, Instruments, fs_usage, dtrace, tcpdump, and lldb. Experience testing low-level products such as VPNs, endpoint security tools, or antivirus software. Ability to read crash reports and debug logs and identify root causes. Ability to work independently and investigate issues thoroughly before escalating. Excellent written communication for clear test case documentation and bug reports. Comfortable working in Terminal (launchctl, log, systemextensionsctl, tccutil) Able to set up and fully clean test environments (VMs/snapshots, removing extensions, resetting permissions) Availability to work during US Eastern Time (EST) business hours. Claims will be checked: Interviews include hands-on questions about the experience listed on your CV. Benefits Compensation: $6,500 USD per month PTO and holidays ** Only CVs submitted in English will be considered **

Location: Santiago, Chile New opportunities in Chile, Santiago! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We are seeking a Digital Content Operations Lead to own day-to-day content delivery operations for the digital experiences (App and Web) of a major global brand. This role blends operational leadership with hands-on content execution. You will act as the senior authoring expert, driving capacity planning, stakeholder alignment, and process improvement while executing complex content builds. Additionally, you will serve as the first escalation point for authoring issues and take an active role in mentoring and onboarding the authoring team to raise the overall quality bar. 🧩 Key responsibilities: Operational Leadership: Lead intake, prioritization, capacity planning, and author assignments across overlapping workstreams for a distributed team. Cross-Functional Partnership: Serve as the primary operational liaison to Merchandising, Marketing, CRM, Product, Engineering, and QA teams to meet strict deadlines and quality expectations. Hands-On Execution : Build, update, and maintain customer-facing App/Web content in Contentful (or similar enterprise CMS) from approved Figma designs, assets, copy, and requirements. Take the lead on complex builds, new modules, and high-priority authoring work. Mentorship & Escalation : Mentor and onboard Digital Content Authors, sharing best practices and providing hands-on guidance. Act as the first escalation point for authoring issues, troubleshooting complex platform problems and escalating engineering defects to the appropriate lead. Quality & Governance : Own content execution standards. Serve as the primary peer reviewer, ensuring accuracy, functionality, and consistency. Validate authoring inputs for completeness and resolve gaps or blockers before execution. Release Management: Lead release preparation, coordinate publishing and production validation, and resolve post-release issues. Support flexible release coverage and off-hours execution as business needs require. Process Improvement: Translate new platform capabilities, content models, and integrations into executable authoring workflows, documentation, and training materials. Identify recurring inefficiencies to automate manual work and scale delivery. Documentation: Maintain accurate Jira ticket updates, authoring status, and source-of-truth execution documentation for your own work and reviewed work. 🟩 Ideal Experience & Qualifications: 4+ years of hands-on authoring experience in Contentful or a comparable enterprise headless CMS, including complex, component-based builds. Proven background in digital content QA, capacity planning, and operational leadership. Strong working knowledge of content models, references, localization, publishing workflows, and translating Figma designs into production-ready content. Experience mentoring or onboarding other authors, or acting as a team subject-matter expert. Proficiency with Jira and structured release processes in an agile delivery environment. Strong troubleshooting skills and the ability to explain technical issues clearly to non-technical partners. Exceptional attention to detail and ability to manage multiple concurrent, high-priority deadlines. Must be able to work 100% on-site in Santiago, Chile. Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Switzerland; Germany; Austria About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a high-growth sales technology and RevOps consultancy specializing in automated B2B lead generation and go-to-market systems. Recognized as a top-tier partner in the sales automation space, the team helps mid-market B2B companies scale revenue without increasing headcount. They achieve this by integrating AI-driven outreach, optimizing CRM operations, and sharpening sales strategies for clients across sectors like SaaS, logistics, and fintech. The team operates at the intersection of data science and sales performance, building custom systems that turn repetitive tasks into automated engines for growth. With a mission to eliminate pipeline leaks and replace manual labor with scalable technology, they offer a highly collaborative and impact-driven environment. This is an opportunity to join a forward-thinking group of experts who prioritize measurable ROI and technical innovation in the evolving landscape of AI-powered sales. Job Type: Full-time Job Summary We are looking for a high-performing, German-speaking Mid-level Sales Development Representative to act as the engine of our growth. In this role, you will be the first point of contact for prospective clients, leveraging your expertise in cold calling and objection handling to build a robust pipeline. This is a unique opportunity for a results-driven professional with experience in the GTM and RevOps space to join an offshore team working within the Central European Timezone. If you are a hunter who thrives on hitting targets and wants a clear path to becoming an Account Executive within a year, this is the role for you. Key Responsibilities Conduct high-volume outbound prospecting through cold calling and strategic outreach. Qualify inbound and outbound leads to ensure a fit with our core services. Execute discovery calls to identify prospect pain points and business needs. Consistently book 20+ qualified meetings per month for the sales team. Navigate complex gatekeepers and overcome objections to engage decision-makers. Collaborate with the leadership team to refine outreach scripts and GTM strategies. Requirements Native-level or professional fluency in German (must have). Professional proficiency in English. Proven experience in a Sales Development or Appointment Setting role. Advanced skills in cold calling and objection handling. Prior experience working within the GTM (Go-To-Market) or RevOps industry. Ability to work fixed hours (09:00–19:00) in the Central Europe (CET/CEST) timezone. A self-motivated "hunter" mentality with a track record of meeting or exceeding KPIs. Nice-to-Haves Experience using modern CRM and sales engagement tools. A deep understanding of sales automation and revenue optimization workflows. Previous experience in an offshore or remote-first environment. Benefits 💰 Competitive base salary 🎯 Performance-based incentives 🌎 Fully remote work environment 📈 Long-term stability 🚀 Career growth opportunities 🎧 Professional and supportive sales culture

Location: Remote - USA We're looking for a Senior Recruiting Coordinator who can do more than keep interviews moving. We want someone who can help us build a better way to hire. As Counterpart Health, SaaS subsidiary of Clover Health continues to grow, we're looking for a resourceful, highly organized, and operationally minded teammate to help power our global recruiting efforts. You'll own complex interview coordination while partnering closely with recruiters and Recruiting Operations to streamline processes, optimize our recruiting tools, and deliver an exceptional candidate experience. This is an opportunity for someone who thrives in a fast-paced environment, takes initiative, and loves finding smarter ways to work. You'll have the autonomy to own your day-to-day responsibilities and the opportunity to make a meaningful impact on how our recruiting team operates and scales. As a Senior Recruiting Coordinator, you will: Own global interview coordination. Independently manage complex, multi-stage interviews across technical and non-technical teams, navigating time zones, competing priorities, and interviewer capacity while delivering a seamless candidate experience. Be a trusted partner to recruiters. Support day-to-day recruiting operations, including interview planning, requisition setup, scheduling workflows, and process improvements. Proactively troubleshoot challenges and keep hiring processes moving so recruiters can focus on candidate and hiring team engagement. Build strong partnerships with hiring teams. Develop trusted relationships with hiring managers and interviewers, proactively manage expectations, and confidently troubleshoot scheduling challenges with stakeholders. Keep teams accountable while advocating for a positive candidate experience. Build smarter recruiting processes. Identify inefficiencies and create scalable workflows, templates, and automations that improve efficiency and the candidate experience. Leverage recruiting technology. Use tools like Greenhouse and ModernLoop to optimize scheduling, manage interviewer capacity, maintain data accuracy, and improve how we work. Stay ahead of challenges. Anticipate scheduling bottlenecks, troubleshoot issues independently, and proactively recommend solutions that keep hiring moving. Success in this role looks like: 30 days: You've built relationships with recruiters and hiring teams, learned our recruiting tools and processes, and started independently managing interview coordination. 90 days: You're confidently owning complex scheduling, anticipating challenges, supporting broader recruiting operations, and implementing improvements to existing workflows. 6 months and beyond: You've become a trusted operational partner, reduced manual work and scheduling friction, and helped build more efficient, scalable recruiting processes that improve the experience for candidates and hiring teams. You should get in touch if: You're an experienced recruiting coordinator who thrives on complex scheduling, ideally with experience supporting technical teams in a fast-paced, global environment. You're tech-savvy and systems-minded, with hands-on experience using applicant tracking systems, scheduling platforms, and other recruiting tools. Greenhouse and ModernLoop experience is a plus. You're proactive and independent, with strong judgment, exceptional organization, and the ability to manage competing priorities without constant direction. You love making things better. You're naturally curious, resourceful, and energized by solving problems. You don't just identify inefficiencies – you enjoy figuring out solutions and building smarter, more scalable ways of working. You're a trusted partner and thoughtful communicator who builds strong relationships with recruiters, hiring managers, and interviewers. You confidently navigate competing priorities, manage expectations, and hold stakeholders accountable while ensuring a positive, seamless candidate experience. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $55,000 — $80,000 USD

Location: San Francisco, CA | Seattle, WA 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 We are looking for an experienced accountant to own Equity Accounting and Reporting at Anthropic, based in San Francisco. You will be the one owner of equity accounting numbers across US GAAP, IFRS and local GAAP in every jurisdiction where we have employees holding equity: expense booking by entity, intercompany recharge booking, current and deferred tax on equity, and the equity footnote and local statutory disclosures, prepared once and reused. You will own equity reporting data from Shareworks, our equity administration platform, through to the ledgers, while staying hands-on: preparing and reviewing close materials, owning your own accounts, and serving as the first escalation point for the judgment calls in your domain. Share-based compensation (SBC) is one of the most cross-functional areas of our reporting. Grants, vesting, exercises and the events that follow each carry requirements for US GAAP, IFRS and local GAAP expense, pushdown and recharge postings, tax provisioning, payroll withholding, transfer pricing and statutory disclosure, and those needs are met across Equity Administration, Equity Reporting, Accounting, Treasury, Tax, Transfer Pricing and Global Payroll from a single set of award-level records. This is a build role: you will take the open workstreams from manual to automated, work with Finance Systems and Shareworks to build the reports each stage needs, finalize the policies and agreements that sit behind recharges, and bring the end-to-end process to a scalable, efficient and fully compliant close. We are looking for someone who has owned equity accounting in a growing global organization before and wants to do it again at one of the most important companies in the world. Key responsibilities Close ownership Own the equity portfolio through month-end and quarter-end close: US GAAP, IFRS and local GAAP equity expense, pushed down and booked by entity, including reconciliations, journal entries and variance commentary Own intercompany recharge booking: invoicing, settlement, Treasury communication and the foreign exchange (FX) that follows Own current and deferred tax on equity by entity and in local currency, including the IFRS deferred tax mark to the share price and windfalls or shortfalls through the tax provision Ensure every close deliverable is audit-ready, with clear documentation of positions and supporting evidence Technical accounting and policy Write, own and maintain the accounting policies and standard operating procedures (SOPs) for equity across US GAAP, IFRS and local GAAP: grant-date fair value and expense schedules, recharge basis by entity, mobility apportionment, and the treatment of cancellations, modifications and one-off events Partner closely with Tax to close every open policy position and execute the recharge agreements that depend on them Research the tax and accounting rules for each new jurisdiction entered and categorize it under our framework before the first grant lands there Own the equity footnote and local statutory disclosures for all entities, including the award rollforward for each period with internal transfers, and the external audit responses that support them Controls Design and operate Sarbanes-Oxley (SOX) controls across equity expense, recharges and deferred tax; review control evidence and own timely remediation of any gaps Establish completeness and cut-off controls so that the same award, the same entity, the same event dates and the same FX rate flow from Shareworks to every ledger, report and return Systems and automation Anticipate changes in reporting needs and work with Finance Systems and Shareworks to build them: IFRS expense and deferred tax reports in local currency at Workday rates, mobility snapshots driving expense apportionment, corporate tax apportionment rules, and exercise and disclosure reports with mobility detail Automate the monthly pushdown and recharge postings and the reconciliation of deferred tax to expense reports, replacing manual work Document workflows and controls in a way that supports knowledge transfer, audit evidence and scale Cross-functional partnership Partner with Equity Administration, Equity Reporting, Accounting, Treasury, Tax, Transfer Pricing and Global Payroll so each stage of an award is handled from every statutory and reporting perspective and every stakeholder has the data they need Record in the local books (secondary ledgers) the local SBC expense and recharges that feed the cost base for transfer pricing Translate complex equity accounting into plain language for non-finance stakeholders Equity events Lead the cross-functional, cross-jurisdictional review of one-off equity events such as tender offers and share repurchases, covering the accounting, the deduction, payroll withholding, Treasury and the resulting disclosures Coordinate with Tax and advisers on open conclusions, such as the apportionment logic for corporation tax versus payroll tax, so report configurations are right before they are built, manual rework is minimized and the data serves every purpose it is built for Minimum qualifications Certified Public Accountant (CPA) or equivalent professional accounting qualification Deep, hands-on experience with stock-based compensation under Accounting Standards Codification Topic 718 (ASC 718), IFRS 2 and local GAAP, including equity roll-forwards and reconciliation to an equity administration platform Experience with the tax accounting for equity: current and deferred tax by entity, mobility apportionment, and windfalls and shortfalls through the provision Experience owning a portfolio of accounts through close in a public company or pre-initial public offering (IPO) environment, including designing and operating SOX controls Experience writing and maintaining accounting policies and SOPs, and being accountable for how they are applied Ability to structure ambiguous problems, reach defensible conclusions and document them clearly Clear written and verbal communication with non-accounting partners Preferred qualifications Progressive accounting experience that combines Big 4 audit with time at a high-growth or startup company A clear point of view on how artificial intelligence (AI) tools can eliminate low-value accounting work, and a track record of putting it into practice A project management qualification or experience running cross-functional workstreams 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: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview You own the data foundation behind how CX Operations understands its performance and how it connects to the broader Fanatics ecosystem. As the Staff Analyst for Ops Ecosystem Analytics, you design and build the architecture, models, and operating standards that make CX Ops ecosystem data in Snowflake trustworthy, scalable, and usable by cross-functional teams, leaders, and by the AI agents we're building on top of it. This is a hands-on technical role with broad influence. You take raw tables from across the business and turn them into clean, documented, tested models that the rest of the team builds on. You work side by side with Data & Analytics Engineering as well as Strategy teams. You set the SQL and data-modeling bar for the Ops Analytics team without managing anyone. You tell the story of what the data says, regularly presenting to senior leadership and translating architecture decisions and analytical findings into impact they can act on. We are building toward an AI-first way of operating, and this role is central to it. The right person is technically sharp, relentlessly detail-oriented, and curious about both what the data is saying and how AI changes the way we find and act on answers. You move fast, own ambiguous problems, and hold yourself to a high bar without being told to. What You'll Do Data architecture and operations environment Own the architecture of CX Ops ecosystem data in Snowflake, including schema design, data layers, access patterns, and the operating model that keeps it reliable as it scales. Decide how ecosystem Ops data should be structured, owned, and governed, and drive alignment with necessary teams, like Data Engineering, on those decisions. Consolidate overlapping or one-off datasets into shared, well-governed sources of truth, and set naming and documentation conventions. Define and track data quality standards for Ops ecosystem data. Build alerting on critical metrics as needed so issues are caught before they reach leadership reporting. dbt and analytics engineering Turn raw cross-domain tables into clean, tested, reusable dbt models that the whole team can build on. Own the team's core models and introduce data tests, code review practices, and modeling standards that catch issues before they reach stakeholders. Review teammates' SQL, models, and dashboards for correctness, performance, and readability, and coach analysts on best practices. Replace manual, one-off data pulls with automated, always-on solutions. Analytical work and insights Lead complex, cross-functional analyses from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation, without formal authority over contributors. Diagnose root causes rather than symptoms, and surface trends, anomalies, and risks without waiting to be asked. Support scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions. Set the standard for publication-ready dashboards and reporting, with clearly defined KPIs and documented assumptions. Communication and influence Present findings, architecture decisions, and impact to Ops and senior leadership. Take a high-uncertainty situation and communicate what you know, what you don't, and what you recommend. Build the narrative around the data so stakeholders understand not just what the numbers say but what to do about them. Mentor and support analysts across the team through standards, reviews, and knowledge sharing. AI enablement Make sure agents are built on validated, trusted data foundations, and contribute the data models and evaluation rigor they need before they move to build. Track the performance of deployed agents against Ops goals. Bring a point of view on where AI can be trusted in analytical workflows and where human judgment needs to stay in the loop. Required Qualifications 5+ years in analytics, analytics engineering, business intelligence, or strategic operations. Advanced, hands-on SQL. You write, QA, and optimize complex queries and set the standard others are held to. This role includes a live, on-screen technical exercise. Strong dbt experience. You have designed model layers, written tests, and made sound architectural decisions, not just maintained existing models. Demonstrated experience designing or owning a data environment in a cloud data warehouse (Snowflake preferred), including schema design, governance, and data quality. Experience working closely with data or analytics engineering teams to turn raw data into production-ready models. Strong executive communication. You have presented analysis and recommendations to senior leaders and can defend your methodology under scrutiny. Experience owning complex, cross-functional projects end to end. Experience building dashboards in Sigma, Tableau, or a comparable tool. High attention to detail. You catch data quality issues before they surface in leadership reporting. Comfortable in fast-paced, ambiguous environments with shifting priorities. Preferred Qualifications Experience supporting AI/ML workflows, agent builds, or automation initiatives. Python or a similar scripting language for data manipulation and automation. Familiarity with operational KPIs across customer support, fraud, payments, or workforce management. Experience in gaming, fintech, or sports, or another operationally intensive, high-volume environment. Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $160,000 — $200,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs seeks a dynamic Manager for our Solutions Architects team, one who shares our enthusiasm for driving successful business outcomes in the observability domain. As a Manager of Solutions Architects, you will help lead a distinguished group of technologists, adept at leveraging Grafana products. You will collaborate directly with our key clients to deploy and enhance Grafana technologies, championing observability best practices. You will also work directly with the Professional Services leadership team to drive continuous improvement and operational rigor. This role will collaborate closely with Sales, Support, Customer Success, and Product teams to build resilient observability solutions aligned with customer and business objectives. This role involves crafting Statements of Work (SOWs), advocating for technological advancements to the Products team, resourcing and managing customer projects, driving operational scale, and managing customer escalations. What You’ll Be Doing: As a member of the Grafana Professional Services team, you will manage a team of Solutions Architects, ensuring members are effectively utilized and driving successful customer outcomes. Ensure team success in designing and building outcomes on the Grafana technology stack. Build educational programs that enhance customer capabilities of the Grafana technology stack. Advise on sales strategies that drive high adoption rates, improved renewal percentages, and ultimately increased revenue. Build lasting customer relationships to enable them to be Grafana advocates and reference able customers. Balance operational management with direct technical contributions to stay close to the evolving Grafana technology stack. What Makes You a Great Fit: 3+ years of managing a Solutions Architecture team in a related space 5+ years design/implementation/consulting experience with distributed applications 3+ years of experience in infrastructure architecture, database architecture, applications, and networking, or similar technologies. 2+ years of experience in technology/software pre-sales or technical consulting Located in EST Working knowledge of software development tools and methodologies Presentation skills with comfort speaking to customers and executives Experience building/maintaining observability solutions Excellent communications and writing skills. K8’s Linux experience (2+ years in a company) Shell scripting, API knowledge Observability (monitoring) as a background would be huge High emotional intelligence with a thoughtful approach to client escalations, cross-functional negotiations, and team empathy. Compensation & Rewards In the US, the OTE (On-Target Earnings) compensation range for this role is $184,000 - $220,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for Senior Commercial Account Executive who will be responsible for prospecting and growing existing business across the North East region . You will identify, nurture and close opportunities with new customers, manage forecasts and track customer data. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products. What You’ll Be Doing: Identify new opportunities to expand Grafana usage within a set of current customers Meet and exceed individual quarterly and annual sales goals Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 3+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Adaptable and with demonstrable experience in high velocity technology companies Experience using Salesforce Bonus Points For: Familiarity with open source technology is a significant advantage Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Rewards: In the United States, the OTE (On-Target Earnings) compensation range for this role is $200,000 - $220,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE TEAM The tax team sits inside Finance and looks after Wealthsimple's own corporate tax position. We're deliberately building out specialist tax functions: one lane owns direct tax, another owns transfer pricing and international tax, this role will own the indirect tax lane. The team is small, the entity group isn't, and we're putting in place the review and documentation discipline that investor-grade reporting depends on. If you'd rather set a technical standard than inherit one, this is a good moment to join. In this role you'll be responsible for: - Manage the end-to-end indirect tax compliance (GST/HST, QST, PST) across all applicable jurisdictions, ensuring accuracy and compliance with statutory deadlines - Support month-end and quarter-end close, including review of tax accruals, account reconciliations, forecasts and variance analysis - Manage multi-jurisdictional tax registrations and nexus monitoring, adapting to fast expansions into new product lines and geographic markets - Manage relationships with external tax authorities, including preparation of audit responses and correspondence with CRA and provincial agencies - Monitor indirect tax legislative and regulatory developments and assess the impact on the organization - Maintain and improve internal controls, tax policies, and compliance procedures - Collaborate with Finance and technology teams to ensure accurate tax coding and support systems and process improvements, including AI automation initiatives - Identify and pursue ITC and ITR recovery opportunities; conduct risk assessments to surface and remediate material exposures - Provide indirect tax research and advisory support on new business initiatives, including product launches and corporate transactions Skills you'll bring: - CPA designation required; completion of the CPA In-Depth GST/HST Program or equivalent indirect tax training preferred - 5–7 years of indirect tax experience, with exposure to both public accounting and public company industry environments preferred - Strong technical knowledge of Canadian indirect tax regimes including GST/HST, QST, PST, RST - Practical experience with financial institution (FI) and Selected Listed Financial Institution (SLFI) indirect tax rules, including the Special Attribution Method (SAM), is required - Solid understanding of cross-border and imported supply rules - Excellent tax technical and research skills, with the ability to balance commercial objectives and tax risk exposures - Proficient with tax software, ERP systems and AI technology (e.g. Netsuite, Claude) - Strong analytical, organizational, and problem-solving skills - Detail-oriented and communicates well - Corporate income tax knowledge is an asset WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: San Francisco; New York Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com.   THE ROLE We're looking for a hands-on IT leader to build and run the business systems that help Alchemy work. You'll own enterprise applications and their integrations, manage and develop the IT team, and help teams across the company redesign how they work with AI. This is a player-coach role. You'll configure applications, write integrations, debug workflows, and ship automations yourself. You'll also set priorities, coach engineers, manage performance, and keep day-to-day IT service dependable. You'll identify recurring manual processes, build automations or agent workflows, and decide which steps need human review. You'll deploy and test those systems and teach the team to maintain them.   WHAT YOU WILL DO - Own business applications. Lead technical administration and improvement of Salesforce and connected sales tools, People Ops systems such as Rippling and ChartHop, and other business applications as priorities require. Partner with business owners on configuration, data quality, permissions, and technical escalations. - Build across systems. Write and maintain API integrations, scripts, and workflows that connect applications, reconcile data, and automate employee and business processes. Own testing, monitoring, failure recovery, and documentation. - Redesign work around AI. Partner with Sales, People Ops, Recruiting, Finance, and Legal to identify workflows worth rebuilding. Deliver agents and automations that can gather context, carry out authorized steps, verify results, and escalate exceptions to the right person. - Manage the team. Set priorities and expectations, run regular feedback and development conversations, hire, and manage performance. Balance service coverage with project work and make clear tradeoffs when demand exceeds capacity. - Raise the team's AI capability. Build alongside engineers, review their work, and turn successful approaches into shared tools, skills, and runbooks. Make AI-assisted building and verification part of how the team delivers work. - Keep IT service reliable. Oversee support quality, onboarding and offboarding, escalations, and operational coverage with the engineers responsible for service desk, identity, endpoints, and office technology. Jump into difficult issues when needed. - Make automation safe to operate. Partner with Security on least-privilege access, sensitive-data handling, audit trails, and approval boundaries. Use explicit approvals for high-impact actions and provide a way to stop or roll back failed automation. - Own the application roadmap and spend. Evaluate tools, manage vendor relationships and renewals, and bring application expertise in-house where it improves service or cost. Measure improvements through reliability, turnaround time, manual work removed, and adoption by the teams served.   WHAT WE ARE LOOKING FOR - Deep hands-on experience administering enterprise SaaS applications and building integrations; strong Salesforce experience and the ability to learn unfamiliar business systems. - Experience managing technical staff, including coaching, prioritization, hiring, and performance management. You're comfortable staying close to implementation. - Ability to build and debug with APIs, scripting, and workflow platforms such as n8n or Okta Workflows, with sound practices for testing and production changes. - Evidence of shipping AI-enabled workflows that other people use. You can explain what you delegated to AI, what you verified, where it failed, and how you improved it. - Experience helping a team adopt new tools and working practices, including supporting people with different starting skill levels. - Strong judgment about identity, access, employee data, and business-critical changes. You know when deterministic automation or a human decision is the better choice. - Ability to translate business needs into technical work, explain tradeoffs, and follow through on operational details.   HELPFUL EXPERIENCE - Supporting People Ops, Recruiting, Finance, or Legal applications alongside sales systems. - Employee lifecycle automation, identity integrations, and IT service management. - Building agent integrations, reusable skills, or evaluation suites with an internal AI platform.   WHAT SUCCESS LOOKS LIKE - Business systems have clear technical ownership. - The IT team delivers dependable support and application improvements, with fewer recurring manual tasks. - Teams across the company use workflows you've helped build, and your engineers can extend and operate them without depending on you for every change.   BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/