Вакансии

Location: San Jose Workplace: hybrid The Customer Success Manager (CSM) is a pivotal role, demanding an individual with truly exceptional interpersonal and relational skills. The ideal candidate must possess a natural ability to foster win/win environments, ensuring positive and productive outcomes for all stakeholders, including the customer, the internal team, and the company. This role is fundamentally focused on driving an outstanding and comprehensive customer experience, moving beyond mere support to actively partnering with customers to ensure they not only adopt but fully realize their desired goals and maximum value from our products and services. Core Responsibilities and Expectations: The responsibilities of the Customer Success Manager are comprehensive, covering account management, strategic relationship building, product expertise, and proactive risk mitigation: Proactive Account Engagement and Relationship Management: Systematically engage with a carefully curated portfolio of assigned clients. Maintain a defined and regular communication cadence with each account to continuously monitor product adoption, usage, and overall service satisfaction. Serve as the client's primary point of contact and trusted advisor, owning the overall relationship from onboarding through renewal. Regularly conduct business reviews (QBRs) and success planning sessions to align our product capabilities with the customer's evolving strategic objectives. Driving Growth and Value Realization: Actively identify opportunities for organic growth within the assigned portfolio, including upselling relevant premium features or expanding product usage across different departments. Deeply understand the customer's business drivers and objectives to ensure they are fully achieving their desired outcomes and return on investment (ROI) with our solutions. Facilitate training sessions, workshops, and ongoing education to ensure high-level product competency and maximum feature utilization among key customer personnel. Client Retention and Risk Mitigation: Ensure the highest levels of retention and satisfaction for all assigned clients, viewing retention as the ultimate measure of success. Develop an early warning system to identify potential signs of churn or dissatisfaction (e.g., declining usage, unmet expectations, unresolved issues). Proactively and swiftly intervene to resolve concerns, develop effective mitigation strategies, and rebuild confidence and partnership when "churn flags" are raised. Act as the voice of the customer internally, relaying feedback on product needs, service gaps, and competitive landscape to relevant cross-functional teams (e.g., Product, Engineering, Sales). Customer Enablement and Support Coordination: Aid clients across the entire customer lifecycle, including providing detailed product training, answering complex questions, troubleshooting initial configuration issues, and coordinating advanced technical support when necessary. Document all customer interactions, success plans, and retention activities accurately within the Customer Relationship Management (CRM) and Customer Success Management (CSM) platforms. Create and maintain a library of customer-facing success materials, including best practice guides and use-case examples, to empower clients to be self-sufficient. Exceptional Communication and Interpersonal Skills: Ability to articulate complex solutions clearly and persuasively, both verbally and in writing. Active listening skills to truly understand customer needs, pain points, and strategic goals. Empathy and the ability to build immediate trust and rapport with C-level executives and end-users. Sales and Negotiation Acumen: A consultative, solution-oriented selling approach (not aggressive or transactional). Ability to identify and qualify expansion opportunities (upsell/cross-sell) by linking product value to customer business outcomes. Skill in managing complex negotiations, handling objections, and closing expansion deals.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Operator, Global Security Operations Center (GSOC). About the job This position is needed to maintain a broad situational awareness over internal and external physical events that could impact employee safety or pose a threat to business assets or operations across Twilio’s global footprint. GSOC Operators monitor a variety of data sources including internal access control systems, external incident aggregators, travel safety applications, and general open source reporting materials. GSOC Operators serve as the primary contact for employees with physical safety and security questions or concerns. When an incident occurs, the GSOC Operator may dispatch security resources, escalate to crisis management teams, send broad communications to Twilio employees, or execute a mass notification to account for employee safety. Responsibilities: In this role, you’ll: Monitoring and Surveillance Utilize various physical security asset monitoring and surveillance systems to detect potential unauthorized access,  suspicious activity, or other security incidents Monitor open-source threat intelligence and other internal SaaS tools to maintain situational awareness of persistent or emergency global events with potential or direct impact to operations Security Operations Support Support access control and visitor management processes Manage security-related calls for service and provide general guidance to employees, vendors, and guests Maintain awareness of business travelers and personnel accessing Twilio facilities Partner with local site security teams to escalate and dispatch resources for incident and alarm response Review travel requests to elevated risk locations, assist travelers through the approval process, and cross-reference live itineraries with external incidents Incident Management Perform the first point of incident intake across a variety of emergencies, including medical emergencies, natural disasters, fire/evacuation, travel disruptions, and security incidents Assess and triage events and incidents to determine their impact to operations Dispatch and coordinate response with emergency response personnel Communicate effectively on emerging incidents to large audiences to share situational awareness or tactical updates as warranted Maintain real-time incident documentation for reporting and analysis Perform Life-Safety checks for Twilio in areas impacted by potentially life-threatening conditions Participate in post-incident reviews to document and implement corrective action and improvements to future response Operational Excellence Maintain a strong understanding of security and emergency standard operating procedures Utilize critical thinking and problem solving skills to analyse situations and implement solutions Support large projects that will improve Twilio’s GSOC capabilities and initiatives Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 3+ years of experience in a GSOC working environment Experience with physical safety and security technology, systems (ACS, IDS, VSS, VMS), travel safety, and mass notification tools Experience with open-source intelligence (OSINT) research tools Strong critical thinking and problem-solving skills Proven ability to follow standard operating procedures and playbooks Ability to prioritize tasks in a fast-paced environment Ability to stay calm, professional, and think clearly in high-stress situations Ability to communicate clearly and concisely; verbal and written Ability to work ‘non-standard’ shift hours, to overlap as needed with colleagues and stakeholders in other global locations, including weekend and holiday hours English Language Proficiency Desired: Customer service mindset Comfortable with a high-tech work environment Eager to learn new tools and processes Ability to work independently and as part of a team Proficiency in Google Suite Additional Language Proficiency Shift Details: Variable (8–10-hour shifts) Must be flexible to work holidays, weekends, and occasional overtime. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you participate in project or team in-person meetings to help you connect in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $26.27 - $32.84 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $27.77 - $34.71 Based in the San Francisco Bay area, California: $30.85 - $38.56 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until December 21st, 2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we’re looking for: These are indicative, not hard requirements We’re looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands‑on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‑level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers. You take pride in strong technical fundamentals , love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies). Experience running training or inference workloads on Kubernetes . Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products. Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We’re particularly interested in engineers who have: A track record of working on model training or model inference at scale , or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform. Profile we’re looking for: These are indicative, not hard requirements We’re looking to hire Senior+ AI Infrastructure Engineers . You’re likely a great fit if: You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands‑on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‑level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non‑engineers. You take pride in strong technical fundamentals , love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies). Experience running training or inference workloads on Kubernetes . Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Belgrade; Tbilisi; Madrid; Riga; Valencia; Yerevan; Poland Workplace: remote About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are looking for a Lead Android Developer who will take personal responsibility for every new feature inside the P5D product. This is a role for someone who still enjoys writing code and wants to have real influence on the product. You will work on complex parts like graphic engine, multiplayer technology and Ai, including: Design Generator for image-to-image creation, Plan Upload to convert files into projects, AI Designer for styling and furniture layout, and Bernard AI - an LLM that answers questions, gives advice, and controls the AI Designer. We care a lot about quality - clean code, strong engineering standards, and decisions that drive the market. We keep things simple - no extra layers of approval when good judgment is enough.  Our engineering team has real power to suggest better tech solutions and influence product. That freedom comes with real responsibility because your decisions will have a tangible impact in a product used by 100M+ users. We love to learn: we dive into challenges and give 100%. Every tough task is just a way to find a better solution and get better at what we do. You will be surrounded by strong engineers with high standards. It is a demanding environment, but also one where good work is respected and where you can work on really interesting technical challenges -  including the Editor, 3D engine, geometry, and rendering. Responsibilities: Take ownership of Android development and build a strong understanding of the codebase and existing solutions Choose the right technologies and approaches based on the problem and long-term product needs Be involved in all aspects of the product development, from pixel-perfect design to analytics, payments, and user authentication Work on interesting and complex features, from simpler tasks like building custom views and APIs to 2D/3D graphics, VR, AI, CRDT and similar Utilize popular Android libraries and Kotlin solutions Help the team solve technical problems, answer questions, and find practical solutions Develop a modular codebase, conduct thorough code reviews, follow best practices and coding guidelines Work closely with both technical and non-technical teams Support hiring as the team grows Requirements: 7+ years of experience in Android development (including Leadership experience) Extensive experience with Kotlin and Java Extensive knowledge of the Android ecosystem (Android SDK, Jetpack, Dagger, and common libraries) Experience with SQL, SQLite, and Room Experience with concurrency and asynchronous programming (Kotlin Coroutines and RxJava) Experience working with REST APIs, JSON, XML, Git, and Protobuf Very good understanding of software design, code quality, and testing practices Ability to write clean, readable, and maintainable code Ability to make technical decisions and explain trade-offs Provide mentoring and constructive feedback to developers Strong sense of ownership Clear and concise communication Ability to work effectively with both technical and non-technical teams Experience with in-app payments and subscriptions Fluent English Nice to have: Experience with 2D/3D graphics (Canvas, OpenGL, Vulkan, or Google Filament) Visa sponsorship is available if you hold primary residence with work authorization. What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: Warsaw; Amsterdam; Barcelona Workplace: hybrid About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are looking for a Lead Android Developer who will take personal responsibility for every new feature inside the P5D product. This is a role for someone who still enjoys writing code and wants to have real influence on the product. You will work on complex parts like graphic engine, multiplayer technology and Ai, including: Design Generator for image-to-image creation, Plan Upload to convert files into projects, AI Designer for styling and furniture layout, and Bernard AI - an LLM that answers questions, gives advice, and controls the AI Designer. We care a lot about quality - clean code, strong engineering standards, and decisions that drive the market. We keep things simple - no extra layers of approval when good judgment is enough.  Our engineering team has real power to suggest better tech solutions and influence product. That freedom comes with real responsibility because your decisions will have a tangible impact in a product used by 100M+ users. We love to learn: we dive into challenges and give 100%. Every tough task is just a way to find a better solution and get better at what we do. You will be surrounded by strong engineers with high standards. It is a demanding environment, but also one where good work is respected and where you can work on really interesting technical challenges -  including the Editor, 3D engine, geometry, and rendering. Responsibilities: Take ownership of Android development and build a strong understanding of the codebase and existing solutions Choose the right technologies and approaches based on the problem and long-term product needs Be involved in all aspects of the product development, from pixel-perfect design to analytics, payments, and user authentication Work on interesting and complex features, from simpler tasks like building custom views and APIs to 2D/3D graphics, VR, AI, CRDT and similar Utilize popular Android libraries and Kotlin solutions Help the team solve technical problems, answer questions, and find practical solutions Develop a modular codebase, conduct thorough code reviews, follow best practices and coding guidelines Work closely with both technical and non-technical teams Support hiring as the team grows Requirements: 7+ years of experience in Android development (including Leadership experience) Extensive experience with Kotlin and Java Extensive knowledge of the Android ecosystem (Android SDK, Jetpack, Dagger, and common libraries) Experience with SQL, SQLite, and Room Experience with concurrency and asynchronous programming (Kotlin Coroutines and RxJava) Experience working with REST APIs, JSON, XML, Git, and Protobuf Very good understanding of software design, code quality, and testing practices Ability to write clean, readable, and maintainable code Ability to make technical decisions and explain trade-offs Provide mentoring and constructive feedback to developers Strong sense of ownership Clear and concise communication Ability to work effectively with both technical and non-technical teams Experience with in-app payments and subscriptions Fluent English Nice to have: Experience with 2D/3D graphics (Canvas, OpenGL, Vulkan, or Google Filament) Visa sponsorship is available if you hold primary residence with work authorization. What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: London Workplace: Hybrid We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters. RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: San Francisco; Palo Alto We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters RESPONSIBILITIES - Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads - Manage and optimize Slurm-based HPC environments for distributed training of large language models - Develop robust APIs and orchestration systems for both training pipelines and inference services - Implement resource scheduling and job management systems across heterogeneous compute environments - Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure - Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm - Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services - Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands QUALIFICATIONS - Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management - Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization - Experience with deploying and managing distributed training systems at scale - Deep understanding of container orchestration and distributed systems architecture - High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies) - Experience managing GPU clusters and optimizing compute resource utilization REQUIRED SKILLS - Expert-level Kubernetes administration and YAML configuration management - Proficiency with Slurm job scheduling, resource management, and cluster configuration - Python and C++ programming with focus on systems and infrastructure automation - Hands-on experience with ML frameworks such as PyTorch in distributed training contexts - Strong understanding of networking, storage, and compute resource management for ML workloads - Experience developing APIs and managing distributed systems for both batch and real-time workloads - Solid debugging and monitoring skills with expertise in observability tools for containerized environments PREFERRED SKILLS - Experience with Kubernetes operators and custom controllers for ML workloads - Advanced Slurm administration including multi-cluster federation and advanced scheduling policies - Familiarity with GPU cluster management and CUDA optimization - Experience with other ML frameworks like TensorFlow or distributed training libraries - Background in HPC environments, parallel computing, and high-performance networking - Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices - Experience with container registries, image optimization, and multi-stage builds for ML workloads REQUIRED EXPERIENCE - Demonstrated experience managing large-scale Kubernetes deployments in production environments - Proven track record with Slurm cluster administration and HPC workload management - Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure - Experience supporting both long-running training jobs and high-availability inference services - Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management

Location: India Position: Talent Acquisition Specialist (India - Remote) Job Summary: We are seeking a dynamic and results-driven Talent Acquisition Specialist to join our team, focusing on hiring candidates within India. This role is pivotal in sourcing, attracting, and interviewing candidates to find the ideal fit for our vacancies. The ideal candidate will be responsible for selecting and advancing qualified candidates to the subsequent stages of their application, including the evaluation of assessment examination results. Key Responsibilities • Strategic Sourcing and Screening: Conduct daily in-depth assessments and screenings of all applicants, ensuring a high-quality candidate pipeline for positions within India. • Interviewing Excellence: Implement and apply various interviewing techniques and methods to thoroughly evaluate candidates during in-depth interviews. • Initial Candidate Engagement: Perform initial screening interviews, identifying potential fits for further evaluation. • Collaborative Hiring: Work closely with Hiring Managers to recommend candidates, partnering with relevant stakeholders to offer competitive compensation packages and negotiate with candidates effectively. • Record Keeping and Compliance: Maintain accurate and concise records and reports on all recruitment phases, utilizing Applicant Tracking System (ATS) and HRIS tools, ensuring compliance with local Indian regulations and hiring practices. • Performance Metrics: Achieve target Ops Validation endorsements, maintaining high standards and expectations throughout the screening process. • Process Calibration: Regularly calibrate screening and selection processes with Hiring Managers to align with specific account requirements and organizational goals. • End-to-End Recruitment: Manage the entire recruitment lifecycle, from sourcing and interviewing to assessment administration and final decision-making. Desired Skills and Qualifications: • Proven experience in Talent Acquisition, with a strong understanding of the Indian job market and hiring practices. • Excellent communication and interpersonal skills, with the ability to engage effectively with candidates and stakeholders. • Strong analytical skills and the ability to conduct thorough candidate evaluations. • Proficiency in using ATS specifically Breezy HR, and Job Boards such as LinkedIn Recruiter, Indeed and the like. • Knowledge of local employment laws and regulations in India. • Ability to work in a fast-paced environment and manage multiple priorities. • Team player with a strong work ethic and the ability to handle confidential information with discretion. Job details: • Employment Type: Contract • Duration: 1 year, with the possibility of extension • Compensation: Given the full-time support required, the projected monthly income ranges from ₹30,000 to ₹40,000. • Work Schedule: Monday through Friday, adhering to a night shift to align with US Time Zones (9:30 PM – 6:30 AM IST). • Location: Remote (Work from Home) • Internet Requirements: A minimum internet speed of 50 Mbps is required, with a LAN connection recommended for optimal performance. Join Us: Become a part of our dynamic team and contribute to our mission of finding the best talent to drive our organization forward. If you are passionate about recruitment and want to make a significant impact in a growing company, we would love to hear from you.

Location: USA (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Mexico (Remote); Israel (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote) Workplace: Remote WHO WE ARE Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.   Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place! YOUR TEAM AND ROLE Working on the Backend Functional Team, you'll lead complex projects across key company-wide objectives. Using Perl (Version 5), Go, and Node.js, you’ll write pragmatic, performant, testable code that works consistently, and work on related projects. Recent projects include: - Implementing AI-assisted answers and integrating them into our Search product while maintaining our privacy-first approach - Delivering improvements to Duck.ai to help us make it a competitive AI chat alternative for both free and paying users - Implementing sophisticated data processing pipelines that maintain search relevancy As a Senior Backend Engineer, you'll collaborate remotely with your peers and take responsibility for solving product issues impacting our all-in-one privacy solution, whether large or small. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Backend Team at DuckDuckGo. ABOUT YOU - 7+ years of professional experience, primarily focused on backend systems that power consumer-facing products - Product acumen to reason about technical tradeoffs in terms of user impact - Familiarity with AI agent tooling: evaluation frameworks, RAG pipelines and prompt engineering - A fundamental understanding of complex data structures and algorithms — you can develop and apply new solutions and confidently navigate and improve existing code. - Data-driven analytical skills for decision-making, stakeholder alignment, and experiment-oriented delivery - Solid project management abilities - Excellent written and verbal communication to validate and articulate decisions - Previous experience leading and mentoring experienced engineers, supporting their career goals, and unlocking their potential. COMPENSATION This role is paid on a regional pay scale, in local currency, and stock options: - United States: $190,500 USD annually - United Kingdom: £134,600 GBP annually - Canada: C$253,500 CAD annually - Europe/Rest of World: €157,350 EUR annually In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.   Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.   Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.   Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.   HIRING PROCESS Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire. DIVERSITY, EQUITY AND INCLUSION DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws. We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request. PLEASE NOTE THAT: - You’ll be required to attend meetings on camera via video conferencing - Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend. - While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week. - A successful candidate must pass a background check as a condition of joining the team. - By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work. Disclosure Statement: Use of AI in Hiring Process As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process. Key Principles: - Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes. - Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors. - Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us. By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo! #LI-DNI

Location: Germany (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: As a Sales Development Representative (SDR), you will focus on three core missions.  One, you will help our users and prospects navigate their Grafana journey by engaging with and listening to them in order to provide them with appropriate resources and guidance.  Two, with these learnings, you will partner with our Sales Team to connect with other influential people in these organizations to identify new business opportunities that are the pipeline for our company’s revenue goals by partnering proactively with our Sales Team. And three, you will develop valuable, transferable skills to help you achieve your career goals.  By fulfilling our three core  missions, you will contribute importantly to Grafana Labs’ community and business goals. We understand that our commercial success is linked to our open source DNA and users’ success with our software.  As such, we want team members who can effectively leverage this connection and help support the long-term health of our company. In this role, you will balance reactive and proactive work, responding to inbound inquiries as well as outreaching to target accounts. You will need to research and have a detective mindset in order to craft thoughtful, value-add messaging; and you’ll need to be confident driving business conversations on the phone.  You will need to know how to use AI as a tool to constantly improve your productivity. This is a demanding and rewarding role.   It is a fast-paced and challenging environment.  While our company is growing sustainably,  we still have a lot of building and improving to do.  And we do this work together with our teammates from more than 15 different countries.  We're looking for driven, humble, technically curious  people who embrace a team-first attitude and demonstrate extreme ownership.   This is a great team to join, whether you’re just starting your career or looking to pivot into the tech industry.  You’ll have managers and teammates that care deeply about you as a professional and human, and you will learn more than you thought possible. What You’ll Be Doing: Build and maintain knowledge of our technology, competitors, open source ecosystem, and industry trends Follow up on inbound leads effectively and efficiently Use a multi-channel approach (email, social, calling) to proactively outreach to new leads within target accounts; our top SDRs are confident and effective on the phone Use Salesforce and Grafana dashboards for lead and account management and research Use research and data to prioritize and customize outreach to target prospects and accounts via email and LinkedIn Drive effective discovery conversations to understand users’ needs and goals in to provide them the appropriate resources and communicate how Grafana can help them Consistently meet new business opportunity and pipeline targets Collaborate with cross-functional teams such as marketing and sales to win as a team What Makes You a Great Fit: Fluent in German and English (written and spoken) Open to feedback and coaching, always looking for ways to improve Clear and concise written and verbal communication style Excellent organizational skills and the ability to prioritize many tasks and demands Willingness and ability to take on any task - no matter how small or big - with a focus on quality Resourceful and proactive in an environment that is constantly evolving Driven by purpose and by winning with a team-first attitude Located in Germany Bonus Points For: Let’s be honest - interviewing is not easy. However, we want you to come prepared and succeed. When we interview, we’re trying to determine a couple of things: Would you be successful if you were part of our team? Will you love working here and be a positive influence on your fellow colleagues? Will you grow professionally and personally during your time here? We’re looking for people who are curious and passionate about technology, so make sure you invest some time in learning about Grafana Labs. Explore our community, the industry we operate in, what we offer, and how we set ourselves apart. During your interview, you’ll be sharing stories about your current and past roles and experiences. The best way to frame this is with the CARR model: Context, Action, Results, Reflection. This allows you to succinctly share the experiences you’ve gained. Remember, humility drives learning and we love working with people who are always trying to better themselves. Throughout our interview process, you will receive feedback, and usually directly in the interview. As you move through the interview process, make sure you listen to the feedback you receive and figure out how to incorporate the advice in the next step of the interview. Compensation & Rewards In Germany, the OTE (On-Target Earnings) compensation range for this role is EUR 58,000 -  EUR 62,000. 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: British Columbia, Canada Position Title: Executive Producer - Magic The Gathering Online Studio/Department: Magic The Gathering Online/Live Development Employee Type: Full Time, Regular Location : Remote ( within BC, Canada) Salary Range: $135,000 - $185,000 CAD Ravenwake Games is the newest studio within Enad Global 7, a global leader in video game development and publishing. Backed by iconic franchises such as EverQuest®, PlanetSide®, DC Universe™ Online, Dungeons & Dragons Online®, The Lord of the Rings Online™, Magic: The Gathering Online, and MechWarrior®, we draw on a legacy of genre‑defining experiences. We’re committed to delivering entertainment that inspires, engages, and unites players around the world. At Ravenwake Games, our mission is to craft immersive worlds that bring players together, build vibrant communities, and deliver unforgettable gameplay at every turn. Description This position will provide support to the Magic The Gathering Online Studio. Ravenwake is looking for a talented and experienced Executive Producer. Your Contribution Lead the team in establishing and guiding the long-term vision and direction of the game IP for the studio and franchise Own the vision for product, process, practices, people, and tools across the franchise Establish and drive execution of business plan for studio and franchise IP Scope and develop the execution plan against the vision Sequence and stack-rank priorities into near-, medium- and long-term for successful execution against the business plan Establish/refine resource plan, team, organizational and structure to successfully execute against plan Partner with department leaders to establish and maintain the product vision, scope, staffing plan, schedule, and budget Lead development, management, and direction of: Live game service and operations Content production, systems, features for the live game Lead exploration and development of investment plan for new game opportunities with the studio’s core IP Manage studio and development teams Oversee studio staffing across all key disciplines (e.g., production, design, engineering, art, live service, product management, project management and operations) Drive financial performance for the studio (e.g., existing live title and new investments) Report game and business performance to stakeholders and publisher on a regular cadence Foster relationships with partner teams and shared services to support the game Be a passionate ambassador for the game IP Other Criteria 10+ years of production, development, and product management experience on a live game as a service product 3+ years of leadership role (within the 10+ years of game experience) Additionally, you should possess: Must have shipped multiple successful titles, with significant experience in cross-platform and large-scale live operations Strong knowledge and experience with F2P GaaS economy design and service operations Experience with and full embrace of data analytics and data-driven decision-making: Familiarity and utilization of A/B testing framework Leverage data to estimate expected outcomes and potential ROI, then stack rank and prioritize Market awareness & analysis Consumer awareness & analysis Player and marketing management & analysis Highly process-driven expert in SDLC with proven track record of quality development and execution against plans A passion for being in the trenches, driving day-to-day decisions, while never losing sight of the high-level vision. We invite you to get in the game with us and help us make exciting experiences! Be Aware of Fraudulent Recruiting Activities Ravenwake Games will never ask applicants for social insurance numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or through online messaging apps (WhatsApp, Hangouts). We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. **Ravenwake is an Equal Opportunity Employer.**

Location: New York City, NY; San Francisco, CA 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 Anthropic’s GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level. As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly. This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level. Responsibilities Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion You may be a good fit if you have 8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases What will make you stand out Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms 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: $380,000 — $450,000 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. 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: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role As a Staff SDET, you’ll lead from the front– owning shared automation infrastructure, influencing release quality strategy, and driving initiatives that span teams and systems. This role sits at the intersection of hands-on engineering, architectural leadership, and org-wide quality influence. You will architect and scale automation utilities/libraries, design and build internal tools that improve developer productivity and test efficiency, and establish testing strategies that ensure high-confidence releases across business-critical systems. You will work cross-functionally across teams and domains to influence quality culture, mentor engineers, and drive initiatives that shape how Fivetran builds and ships software. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable. This role requires deep technical expertise, architectural foresight, and the ability to scale impact beyond code through systems thinking, tool building, and strategic alignment. Technologies You’ll Use Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python (optional) Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite Cloud & Platform: AWS, GCP, Azure Observability & Monitoring: Grafana, Prometheus, Datadog CI/CD & Automation: Jenkins, CircleCI, GitHub Actions Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies Databases: SQL and NoSQL databases (e.g., Postgres, MongoDB) What You’ll Do Lead the architecture of internal tools, libraries, and utilities for test automation and benchmarking, enabling scalable quality solutions across teams and domains. Define and evolve quality strategies covering testability, release readiness, performance, and reliability. Drive cross-org quality initiatives to improve execution speed, observability, and feedback loops. Identify systemic risks in business-critical systems and implement robust validation strategies. Mentor engineers, influence design for testability, and champion best practices across the org. Collaborate with engineering and product leaders to align testing priorities with platform and business objectives. Skills We’re Looking For 8+ years of experience in the software industry with a focus on building test automation frameworks, tools, and infrastructure at scale. Experience defining and driving code quality for tests (review processes, efficiency, maintainability). Writes critical or common code shared across multiple teams. Identifies and designs fixes for critical issues concerning core parts of the product. Contributes to and enforces department-wide coding standards. Identifies major improvements in product to improve quality and resilience. Identifies and fixes performance, scalability, and reliability gaps in tests and test frameworks. Defines testing efficiency and reporting strategies. Defines guidelines for product releases, including quality gates and readiness criteria. Expert in design principles and applying them to test architecture. Strong knowledge of OOP (preferably Java) Hands-on experience with cloud platforms (AWS, GCP, Azure). Experience with CI/CD systems (Buildkite, Jenkins, GitHub Actions, CircleCI), modern build tools (Bazel, Maven, Gradle), and observability platforms (New Relic, Datadog, Prometheus, Grafana). Strong background in infrastructure and container orchestration (Docker, Kubernetes, Temporal). Strong understanding of data engineering concepts, and large-scale distributed systems. Demonstrated ability to drive initiatives across multiple teams and influence business-critical systems. Strong written and verbal communication skills to support complex technical discussions. Knowledge of ELT pipelines, including testing data integrity, schema evolution, and pipeline reliability. Demonstrated ability to incorporate AI techniques to improve test efficiency, defect detection, and productivity. Experience evaluating and adopting emerging quality engineering practices (e.g., shift-left testing, chaos engineering, autonomous testing). #LI-HYBRID #LI-PE1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Almaty, Kazakhstan; Bishkek, Kyrgyzstan; Tbilisi, Georgia; Tashkent, Uzbekistan; Manila, Philippines; Cebu City, Philippines; Iloilo City, Philippines; Davao City, Philippines; Makati, Philippines; Quezon City, Philippines; Taguig, Philippines; Mirpur, Bangladesh; uttara, Bangladesh; Astana, Kazakhstan; Belgrade, Serbia; Batumi, Georgia; Sarajevo, Bosnia and Herzegovina; Skopje, North Macedonia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. TechBiz Global GmbH is currently in search of a highly motivated Junior Lead Generation Specialist to join our esteemed Sales department. The successful candidate will play a pivotal role in our team by meticulously identifying and evaluating potential leads to bolster our sales initiatives. Conduct thorough research to identify potential leads across diverse channels, including cold calling Qualify and assess leads against defined criteria to ensure high quality Collaborate closely with the sales team to develop and execute effective lead generation strategies Build, manage, and maintain an up-to-date lead database Provide regular, detailed reports on lead generation activities and performance Utilize tools such as Apollo, LinkedIn Sales Navigator, and other relevant platforms Receive comprehensive training and access to all necessary tools and resources Fluent in English Strong communication skills, with willingness to engage in cold calling Ability to work in a fast-paced environment Strong attention to detail Team player with a positive attitude No prior experience in Lead Generation required Comfortable working with European timezone(09.00-18.00 German time) Our Offer: Fixed package + bonuses An attractive working environment with room for your own ideas, flat hierarchies, and short communication channels. A team that warmly welcomes you and stands by your side. Opportunities for personal training and career development. Opportunity to work from anywhere on a remote basis!

Location: Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Dhahran, Saudi Arabia; Bengaluru, India; Chennai, India Eram Talent is seeking an experienced Informatica (MDM) Developer specializing in Data Governance to join our team in Saudi Arabia. As a trusted Talent Acquisition Company, we support clients with top-tier talents to drive their data governance strategies and initiatives effectively. In this role, you will be responsible for designing, developing, and maintaining Master Data Management (MDM) solutions using Informatica tools. You will collaborate closely with business stakeholders and technical teams to ensure data governance standards and processes are implemented and upheld. If selected, the work location would be onsite at Al-Khobar, Saudi Arabia. Responsibilities Support the Product Manager in defining product roadmaps, prioritizing features, and overseeing product development processes. Assist in developing project plans, timelines, and resource allocation under the guidance of the product manager. Execute assigned tasks and activities within the project, ensuring adherence to project schedules and milestones. Assist in identifying project risks and contribute to the development of mitigation strategies. Support the product manager in communicating project progress and updates to stakeholders and senior management. Support product teams in their product decisions using quantitative data to inform the next steps. Utilize performance metrics to evaluate if product development is satisfactory and aligned with development plans. Conduct desktop research to monitor competitor activities, as well as any price movements and make recommendations that will be used in key decision making. Requirements Bachelor's degree in Computer Science, Information Technology, or related field. Minimum 7 years of experience as an Informatica MDM Developer or similar role. Strong expertise in Informatica MDM, including Hub Console, Data Director, and Data Integration Suite. Candidate must be Informatica or MDM certified. Candidate must have working experience with Master Data Management tools and technologies. Must have practical experience in Data Quality, Data Governance, or IDQ. Must have strong knowledge of data profiling, data validation, and data integration workflows. Experience in data governance, data quality, and master data management concepts. Proficiency in ETL development using Informatica PowerCenter and related tools. Knowledge of relational databases (Oracle, SQL Server) and data modeling techniques. Ability to work collaboratively with technical and non-technical stakeholders. Strong analytical, problem-solving, and communication skills. Familiarity with data security, compliance standards, and governance frameworks. Experience in the Saudi Arabia market or working with regional clients is considered a plus.

Location: Orange County, United States Our client, a well-established real estate company in Orange County, has engaged us to identify a Tax Manager to join their tax team. Reporting to the Director of Income Tax Planning & Compliance, the Tax Manager will oversee income tax planning, compliance, and risk management across corporate, partnership, and REIT structures, ensuring the company’s tax position is optimized, compliant, and aligned with business strategy.  They also have a Hybrid work-from-home schedule! The company acquires, develops, redevelops, and manages multifamily residential properties. They combine strategic growth with long-term value creation for shareholders, residents, and communities. The Tax Manager will lead complex tax matters, collaborate closely with cross-functional teams and external advisors, and serve as a key internal authority on tax technical issues, audits, and strategic transactions. This leader will bring deep technical expertise, strong ownership, and the ability to execute with precision in a fast-paced, deadline-driven environment while balancing strategic priorities with hands-on delivery. Below you’ll find more details about the opportunity. We hope it brings to mind someone who may be interested in this highly visible position, and we invite you to share the information with others. MAIN RESPONSIBILITIES & COMPETENCIES Work and manage outside advisors to review and file timely federal, state, and local corporate, and partnership income tax, franchise tax and information tax returns. Responsibilities include managing internal and tax deadlines, preparing Company data for returns, review returns, and collaborate with tax consultants. Implement effective tax strategies to minimize the overall tax burden of the company and to minimize overall costs associated with the tax function. Assist with due diligence for proposed acquisitions and support the Company’s tax matters related to disposition transactions. Responsible for filing and paying all Company's indirect tax filings, including but not limited to B&O tax, gross receipts tax, and business licenses. Assist with management of Company's taxable REIT subsidiary, tasks include preparing quarterly income tax provision, managing intercompany transactions, managing services and income streams, tracking tax credit generation and utilization, and conducting annual corporate overhead survey. Assist with income tax examinations and respond to various tax notices. EDUCATION, EXPERIENCE, & PREFERRED SKILLS Bachelor’s degree (B.A./B.S.) in Accounting or Finance; Master’s or Ph.D. degree strongly preferred. 5 – 7 or more years of progressive experience in tax planning, tax compliance, and tax return preparation involving corporate, partnership, and REIT tax matters. CPA certification preferred. Yardi experience preferred. Big 4 public accounting experience preferred. Knowledge of partnership taxation required, knowledge of Corporate tax and California tax matters; good understanding of REIT qualification matters and REIT/TRS transfer pricing issues; strong understanding of U.S. GAAP reporting for income taxes. Ability to thrive in a fast-paced, dynamic environment with shifting priorities and time-sensitive deadlines. Strong communication skills with the ability to influence across all levels of the organization and engage effectively with external auditors and advisors. Exceptional attention to detail and the ability to manage multiple priorities in a deadline-driven environment. Demonstrated ability to work independently while remaining a collaborative and dependable team member. Demonstrated ability to lead and coordinate work across project teams, including assigning responsibilities, supervising deliverables, and supporting the development, performance management, and engagement of team members. Sound judgment and discretion when navigating sensitive matters, with the ability to produce clear, concise written communications and deliver effective presentations on complex tax topics to internal audiences. Strong analytical capability to review, interpret, and synthesize tax documents, proactively identifying issues, risks, and opportunities and escalating them appropriately. Consistent decision-making grounded in a solid understanding of company policies, procedures, and business practices to meet objectives and deliver results within established timelines.

Задачи: — Оптимизация пользовательского интерфейса с упором на скорость и отзывчивость. — Улучшение UX при работе с большими объёмами данных (таблицы, фильтры, выборки). — Упрощение и ускорение работы с визуальными слоями и форматами. — Разработка интерфейсов для автоматизированных процессов (статусы, отчёты, согласования). Требования к кандидату: — Опыт коммерческой разработки на Vue 3 от 3 лет и практический опыт работы с Nuxt 3 (SSR/SSG, server/routing API, middleware). — Отличные знания JavaScript/TypeScript (ES6+), включая продвинутые возможности языка и систему типов. — Уверенное владение Vue 3 Composition API, Pinia для управления состоянием. — Опыт работы с современными UI-библиотеками (Quasar, Element Plus или аналоги): настройка, кастомизация компонентов. — Понимание принципов построения клиент-серверных приложений, опыт работы с REST API и GraphQL. — Написание unit-тестов (Vue Test Utils, Vitest/Jest) и e2e-тестов (Cypress, Playwright). Условия работы: — Удаленная работа. — Официальное трудоустройство. — График работы 5/2, с 10:00 до 19:00 по Мск, либо с 9:00 до 18:00.