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Location: Independence, Missouri, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Independence Missouri Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Birmingham, Alabama, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Birmingham Alabama Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New Jersey, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability. You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments. Your responsibilities will include Leading root cause analysis for complex hardware and firmware failures across production fleets Aggregating recurring problems and error patterns to identify systemic reliability issues Acting as the senior escalation point for hardware-related incidents impacting availability or performance Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions Partnering with internal engineering teams to validate fixes and prevent recurrence Performing hardware and firmware validation before fleet-wide rollout Driving structured incident investigations using established IT problem management methodologies Supporting on-site teams with technical coordination during critical hardware events Improving hardware observability, failure tracking, and reporting processes Contributing to long-term hardware reliability strategy and fleet-wide stability improvements What we expect you to have Strong hands-on expertise with server hardware in data center or large-scale production environments Proven experience performing root cause analysis of hardware and firmware failures Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes Experience working directly with hardware vendors and engineering teams to resolve production issues Structured problem-solving skills using formal IT or incident management methodologies Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns Experience coordinating technical activities with on-site operations teams Ability to manage multiple concurrent investigations with production impact Clear written and verbal communication skills in cross-functional environments It will be an added bonus if you have Experience in GPU-dense, AI, or high-performance computing environments Exposure to firmware lifecycle management and large-scale rollout validation Familiarity with Linux-based production systems and infrastructure tooling Experience improving fleet-wide hardware reliability metrics at scale Working conditions Onsite work in the Vineland New Jersey Data center. Participation in incident escalations for production-impacting events Key employee benefits Comprehensive medical, dental, and vision coverage 401(k) plan with company contribution Flexible paid time off Paid parental leave Professional development support Compensation $125,000 – $180,000 per year plus annual performance-based bonus. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $147,200 — $183,900 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The Storage Team at Honeycomb is the backbone of our platform, responsible for the performance, reliability, and scalability of storing and querying billions of events. We design and own the architecture that powers correct and dependable query results — enabling every product experience from Metrics to Triggers and SLOs. As a senior engineer on Storage, you’ll work on high-impact systems where our customers may never see your code directly, but they’ll rely on it every time they use Honeycomb. What you’ll do in the role: Build and deliver high-quality solutions. You will design and implement solutions that power Honeycomb’s query and data storage infrastructure. Whether it’s improving query performance, evolving the Retriever service, or making our storage layer more reliable, you’re eager to jump in and add value where the team needs it most. Scope and deliver projects independently. You’re comfortable breaking down complex storage and querying problems into achievable steps, surfacing trade-offs, and pulling in teammates when needed. You take ownership end-to-end — from design to production support — reducing toil and ensuring our systems deliver measurable customer and business impact. Collaborate with cross-functional partners. You’ll work closely with Product Management and other engineering teams to connect technical solutions to product needs, from problem discovery through solution design and delivery. Much of our work is behind the scenes, but it enables every Honeycomb product experience, from Metrics to Triggers and SLOs. Support our services in production. We believe in owning the software we build. Every engineer on Storage participates in on-call rotations, helps define team KPIs and SLOs, and proactively reduces toil by addressing reliability challenges before they reach customers. Learn new ways to solve complex problems. As Honeycomb grows, so do the challenges of scaling our systems. You will explore new technologies, data storage techniques, and query optimization strategies to keep performance and reliability strong at scale. Thrive on collaboration. You enjoy pairing, reviewing code, and offering constructive feedback. You model strong ownership and help your teammates grow, while keeping conversations forward-looking and focused on business value. What you’ll bring to the role: Technical leadership in storage and querying. You’ve led the design of patterns and guidelines that improve performance and reliability, and you bring expertise in writing Go along with experience working on high-throughput or complex systems. Prior experience with database engineering is a plus, as is comfort with Kubernetes. Curiosity and experimentation. You learn by digging in — individually, in pairs, or as a team. You ask questions to better understand complex systems, explore trade-offs, and believe in learning from incidents as a way to improve both technology and practices. Focus on business outcomes. You tie technical decisions to customer and company impact, weighing whether work is necessary now or later, and considering how projects affect the broader business. Strength in mentorship and teamwork. You guide engineers through code reviews and help spread knowledge across a team with diverse skillsets so that ownership of critical paths is shared, not siloed. Resilience in collaboration. You thrive in a senior-heavy team, giving and receiving feedback with grace, and contributing to a culture where tough problems and hard conversations lead to better outcomes. Execution with impact. You can scope and deliver complex, multi-team projects while balancing production realities, proactively reducing toil, and ensuring systems deliver measurable customer value. Deep debugging expertise. You’re trusted to diagnose and resolve the toughest production issues across the stack, restoring reliability where others may be stuck. Influence beyond your team. You multiply impact by sharing knowledge, guiding adoption of new technologies, and driving foundational work that benefits Honeycomb engineering as a whole. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Marathi language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: UAE - Dubai Workplace: onsite 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Your mission As Data & Analytics Lead, your mission is to turn complex business and product questions into reliable, actionable answers. You will combine AI, data analytics, data engineering, and deep DeFi expertise to build a more intelligent and scalable approach to decision-making. You will use AI not just to accelerate existing analytics, but to rethink how we explore data, test hypotheses, identify patterns, and make insights accessible across the organization. You will be highly hands-on, with expert-level Dune capabilities and a strong understanding of DEXes, DEX aggregators, on-chain data, liquidity, routing, and market dynamics. What you’ll do Shape and build a self-service data and AI platform that enables teams to ask better questions, find better answers, and make better decisions. Create intuitive ways for teams to explore trusted data using AI, natural language, dashboards, and other analytical interfaces. Build AI-enabled workflows and agents that accelerate analysis, uncover insights, and reduce repetitive analytical work, ensuring AI-generated answers are grounded in trusted data, transparent, and verifiable. Turn complex and ambiguous business and product questions into structured analyses, clear insights, and actionable answers. Develop metrics and analytical frameworks that connect user behavior, product performance, on-chain activity, market dynamics, and business outcomes. Proactively identify trends, anomalies, opportunities, and risks, and establish standards for analytical quality, metrics, dashboards, and decision support. Design and evolve data architecture, models, pipelines, and transformations, integrating on-chain and off-chain data into reliable, scalable, and reusable data products. Ensure data is accurate, well-structured, documented, discoverable, and accessible to people and AI systems, with strong standards for quality, observability, maintainability, and performance. Use Dune at an expert level to investigate DEX aggregators, DEXes, swaps, liquidity, routing, users, protocols, and markets, building reusable on-chain datasets and analytical models. Combine blockchain, product, and business data to create a comprehensive view of users, ecosystem activity, and market dynamics, and continuously explore new data sources and analytical approaches. Who you are Deep understanding of DeFi and blockchain data, particularly DEXes and DEX aggregators, including swaps, liquidity, routing, transactions, events, traces, and smart-contract interactions. Expert-level Dune skills, with advanced SQL proficiency and demonstrated experience building sophisticated on-chain queries, datasets, dashboards, and analyses. Strong AI-native way of working, with advanced hands-on experience using Cursor to accelerate analytics and engineering, automate workflows, and build AI-enabled data solutions. Strong proficiency in Python for data analysis, data processing, automation, and AI-enabled workflows. Hands-on experience building and operating modern data platforms with ClickHouse and Airflow, including data modeling, pipelines, transformations, data quality, and observability. Proven ability to turn ambiguous business and product questions into structured hypotheses, robust analyses, and clear, actionable answers. Nice to haves Experience working directly within a DEX, DEX aggregator, DeFi protocol, or other data-intensive Web3 product. Experience working with raw multi-chain blockchain data, including decoding contracts, events, traces, and transactions. Experience applying statistical methods, experimentation, forecasting, or anomaly detection to product and business questions. A strong public track record in the DeFi data ecosystem, such as high-quality Dune dashboards, research, open-source contributions, or community analytics.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Build the iOS platform that helps engineers ship confidently. As Notion’s mobile team grows, we’re turning the first generation of mobile foundations into a durable platform: clearer architecture, ergonomic testing, dependable observability, and faster CI/CD. This role is broad—you’ll shape the iOS stack end to end, from shared frameworks and build systems to release quality, with opportunities to work across our shared Rust layer and AI infrastructure for mobile development. You’ll pair with mobile AI and core product engineers to understand friction, evaluate new iOS capabilities, and decide what should become part of the platform. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Make the iOS platform agent-ready: Give engineers and agents dependable ways to build, run, test, screenshot, and iterate through the app so mobile teams can move faster without lowering the quality bar. - By the end of your first year, define how iOS features are built: establish architecture and ship developer tools, then partner with product engineers to adopt them. - Raise the bar for iOS reliability and release quality: Improve the systems that catch regressions, prevent incidents, and help engineers understand issues quickly across builds, tests, observability, and CI/CD.   SKILLS YOU'LL NEED TO BRING - Deep iOS engineering experience at scale: You’ve helped build and deploy mobile applications used by millions, and understand the reliability, performance, and operational practices required at that scale. - Platform or infrastructure experience: You’ve worked below the product-feature layer on mobile CI/CD, testing platforms, build systems, developer tooling, or shared frameworks—and can turn recurring friction into durable systems. - Strong architectural judgment: You’re familiar with multiple approaches to iOS architecture and can explain the trade-offs clearly, choosing patterns that make features easier to build, test, and maintain. - Cross-functional influence: You can partner closely with product engineers, understand their pain points, and earn adoption for new platform APIs, workflows, and standards without relying on authority. - AI-native engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective.   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $168,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Firebird is an international online travel company organizing trips to Europe for customers worldwide. The software development department focuses on internal products including several mobile apps: Rail Ninja (rail ticket booking), Firebird (online trip builder), Agora (partner app), and a hotel booking service. Responsibilities: — Work closely with back-end team for API integration. — Collaborate with front-end team to deliver high-quality code. — Participate actively in React Native development. — Conduct code reviews and apply best practices. — Collaborate with product managers, designers, BAs, and stakeholders. — Troubleshoot and resolve technical issues. Requirements: — Bachelor's degree in Computer Science, Engineering, or related field. — Strong experience in mobile app development focusing on React Native. — Proven team lead or supervisory experience. — Excellent communication and collaboration skills. — Strong problem-solving and adaptability in dynamic environments. — Familiarity with Agile methodologies and software development best practices. Technical Skills: — Proficiency in React, JavaScript, TypeScript. — Deep understanding and hands-on experience with React Native lifecycle, state management, navigation, rendering. — Solid knowledge of API integration, HTTP protocol, REST API, WebSockets. — Experience publishing apps to App Store and Google Play. — Experience with state management libraries (Redux, Redux-Saga, MobX). — Experience with mobile data storage libraries (MMKV). — Ability to style apps, build responsive interfaces for various devices. — Confident with Git, IDEs, debugging tools; understanding Git Flow. — Experience in testing, performance optimization, memory leak detection. — Understanding of architectural patterns. — Experience coding with AI agents (Claude Code, Cursor, Codex). Conditions: — Full-time remote position. — Salary up to $4500 gross per month based on interview results. Contact for application: olga.z@firebirdtours.com

Location: Espoo; Berlin Workplace: Hybrid Role highlights: - Senior DevOps Engineer (Ground Stations) - Location: Berlin, Germany or Espoo, Finland - Department: Fleet Control and Satellite Communications - Reports to: Engineering Manager, CONNECT & Ground Stations - Employment type: Permanent - Workplace model: Hybrid, 3 days a week at the office in Berlin or Espoo - Employment is subject to applicable security screening (incl. SUPO) Why this role matters As a Senior DevOps Engineer, you'll own key parts of the cloud platform that keeps ICEYE's satellites talking to Earth. You'll shape how our AWS and Kubernetes environments are designed, secured and operated across ground stations, test environments and end-user platforms. You'll make infrastructure decisions that decide whether engineering ships fast and whether satellite operations stay connected when it matters most. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities - Own key parts of the AWS and Kubernetes platform behind our ground station and connectivity systems, working alongside another senior DevOps engineer and making explicit architecture trade-offs between reliability, cost and delivery speed - Drive infrastructure initiatives in your areas from design to delivery, including the dependencies on software teams and ground station vendors - Evolve our Terraform and deployment setup with reusable patterns that prevent whole classes of configuration and release issues - Design and harden the network between our cloud environments and ground station sites - Turn loosely defined operational problems into clear technical plans and working solutions - Drive platform incidents to resolution, find the root cause, and turn what you learn into lasting reliability improvements - Share your expertise through reviews, pairing and technical guidance, and help raise the bar on how we build and run infrastructure What we're looking for Must haves: - Experience owning a platform or critical infrastructure area end to end, including its architecture decisions and trade-offs - Extensive hands-on experience designing and operating production environments on AWS, including IAM, cost management, and security practices such as least privilege and secrets management - Strong cloud networking skills: VPC design, DNS, routing, security groups, and debugging connectivity across cloud and on-prem environments - Deep Terraform experience, including designing modules and managing infrastructure at scale - Experience running Kubernetes in production, including deployments, Helm and troubleshooting - A track record of resolving production incidents and driving lasting reliability improvements - Experience designing CI/CD pipelines with tools such as GitHub Actions Nice to haves: - Hybrid cloud and on-prem experience - Scripting or software engineering experience with Python, Bash or Go - Observability practices, including logging, metrics, alerting and tools such as Grafana - Experience with databases such as PostgreSQL, RDS or MongoDB - Experience in regulated, defence or security-sensitive environments Application Process - Talent Attraction Partner Screen Call - Hiring Manager interview - Technical interview - Values & Fit interview Working at ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Attraction will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Germany Workplace: Hybrid WHY INTEGRATIONS ENGINEERING AT LANGFUSE Your work puts Langfuse into developers’ hands. Our SDKs are downloaded 26M+ times per month, and for many developers the first thing they touch is an integration — a few lines of code that connect their favorite framework to Langfuse. When that experience is seamless, they’re wow’ed. When it’s not, we might have lost them. You’ll own that critical first impression across 40+ framework integrations. You’ll live at the frontier of LLM application development. The AI framework ecosystem moves fast — new agent frameworks, orchestration libraries, and model providers emerge every week. You’ll be among the first to instrument them, giving you unmatched exposure to how cutting-edge AI applications are built. The developers you serve are some of the most ambitious software engineers in the world, and working closely with them will make you an expert on LLM engineering yourself. Everything you build is open source and immediately visible. All Langfuse integrations are MIT-licensed. When you ship a new integration or improve an existing one, thousands of developers benefit the same day — and they’ll tell you about it in GitHub issues, on Twitter, and in our community channels.   WHAT YOU’LL DO - Build and maintain framework integrations. Langfuse integrates with 40+ frameworks and model providers: OpenAI SDK, Vercel AI SDK, LangChain, LlamaIndex, Pydantic AI, OpenAI Agents, CrewAI, Amazon Bedrock AgentCore, LiveKit, and many more. You’ll own these integrations end-to-end — from initial implementation to ongoing maintenance as frameworks evolve. When a new framework gains traction, you’ll be among the first to instrument it. - Design new integration patterns for emerging frameworks. When a framework or a new agent orchestrator appears, you’ll evaluate it, design the right instrumentation approach (callback handler, decorator, OTEL auto-instrumentation, or a combination), build the integration, write the docs, and ship it. You’ll develop strong opinions on what makes a great integration experience. - Contribute to the core SDKs. While integrations are your primary focus, your work will surface needs in our Python and TypeScript SDKs. You’ll contribute improvements to the core SDK when your integration work demands it — whether that’s a new hook point, better context propagation, or performance optimizations. - Write documentation and integration guides. At Langfuse, docs are part of our core product. When you ship a new integration, the guide ships with it. You’ll own the integration docs, quickstart tutorials, cookbooks, and migration paths that help developers get started in minutes. - Be a voice in the developer community. You’ll engage with framework communities, respond to integration-related GitHub issues, write blog posts about new integrations, and be present in our Slack/Discord channels. You’ll build relationships with framework maintainers and represent Langfuse in the broader AI developer ecosystem. WHAT WE’RE LOOKING FOR - Passionate about the LLM ecosystem. You’ve built real applications with frameworks like LangChain, Pydantic AI, Vercel AI SDK, LlamaIndex, or similar — or you have a deep willingness to go deep and get your hands dirty with every major framework in the space. You’re excited about this ecosystem, not just familiar with it. - Strong in Python and/or TypeScript. You write clean, reliable code. You don’t need to be a systems-level performance expert, but you care about code quality and understand that integrations run inside other people’s production systems. - Product-minded engineer. You think about the developer who’s going to use your integration at 11pm trying to ship a feature. You obsess over the getting-started experience: how many lines of code does it take? Is the error message helpful? Does the docs example actually work? - Self-directed and motivated. You know how to develop conviction about what to build and how to ship it. You don’t wait for detailed specs — you investigate the framework, talk to users, and propose the right approach. - Excited about open source and developer community. You genuinely enjoy talking to developers about their integration challenges, writing clear documentation, and contributing to open source projects. - Thrives in a small, accountable team. Your output is visible and matters. You’re comfortable owning outcomes, not just tasks. CS or quantitative degree preferred, but not required. We care far more about what you’ve built and your hunger to learn. BONUS POINTS - Experience with OpenTelemetry internals or observability instrumentation - Contributions to popular open source projects, SDKs, or developer tools - Experience building developer tooling, CLIs, or client libraries - Former founder or early startup experience - Active presence in AI/ML developer communities (blog posts, talks, open source)   No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.   PROJECTS YOU COULD OWN - Build and ship a Langfuse integration for an emerging agent framework (e.g., OpenClaw, new OTEL-based instrumentation) - Design the integration pattern for a new category of AI tools (e.g., voice agents via LiveKit/Pipecat) - Create comprehensive quickstart cookbooks that get developers from zero to traced in under 5 minutes - Work with the OpenTelemetry community to improve GenAI semantic conventions - Maintain and upgrade our most popular integrations (OpenAI, LangChain, Vercel AI SDK) as those frameworks ship breaking changes   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: — Deliver novel and impactful insights for client organizations using machine learning and AI technologies. — Work closely with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses. — Create data products from scratch and automate code for reuse by teammates and future projects. — Leverage extensive datasets to identify and classify behavioral patterns of medical professionals. — Operate effectively in a fast-paced environment to exceed client expectations. Требования: — At least 4 years of professional experience as a Data Scientist or related roles working with complex, high-volume, structured and unstructured datasets. — Prior experience in data science consulting at firms such as ZS, Trinity, IQVIA, BlueMatter, etc., thriving in fast-paced environments. — Advanced knowledge of statistical concepts including exploratory data analysis, experimental design, and probability theory. — Deep understanding of modern machine learning techniques. — Proven ability to design, train, and evaluate large-scale production models using frameworks such as PyTorch or TensorFlow. — Advanced SQL proficiency with skills in writing and optimizing complex queries across multiple tables and data relationships. — Advanced Python skills including object-oriented programming, production-grade code design, and modern data science libraries. — Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training. — Excellent data visualization and storytelling abilities to translate technical insights into clear narratives for internal and client stakeholders. — Curious, fast learner with passion for data, continuous learning, and staying current with advances in machine learning research. Условия: — Total compensation anticipated between $119,333 and $172,800 depending on experience, skills, location, and internal equity. — Compensation package may include base salary, equity (where applicable), and annual bonus or incentive compensation (where applicable). — Comprehensive benefits package including medical, dental, vision insurance, 401(k) with company match, flexible paid time off, company holidays, paid parental leave, professional development opportunities, wellness and mental health resources, remote work support, and home office stipend (where applicable). — Flexible work arrangements with remote work options in the U.S., including Northeast cities and San Francisco headquarters. — Inclusive and diverse workplace committed to equal opportunity and reasonable accommodations during application or interview process.

About the Role: AI Gateway provides developers a unified API to connect applications and agents to hundreds of AI models, handling provider routing, billing, observability, and security controls. The Design Engineer will own product design and frontend implementation across multiple interfaces including dashboard, public model catalog, CLI, API responses, and code. Responsibilities include working with customers, product managers, and engineers to understand problems, explore solutions, build and ship production experiences, and learn from post-launch results. The role involves designing and building production experiences across website, dashboard, CLI, and APIs, making complex AI-related concepts understandable and creating extensible design patterns. The engineer will ensure quality after launch, including visual and interaction craft, accessibility, performance, resilience, and instrumentation, and will use coding agents to explore and implement ideas. What You Will Do: — Own product design and frontend implementation for the journey from discovering a model to operating AI in production. — Design and build production experiences across website, dashboard, CLI, and APIs. — Make models, providers, credentials, routing, budgets, logs, performance, privacy, and governance understandable and create extensible patterns. — Engage directly with customers and use product data to understand problems, define success, and improve the product. — Maintain quality after launch including accessibility, performance, and resilience. — Use coding agents to explore, test, debug, and take responsibility for shipped code. About You: — Demonstrated experience in identifying, designing, building, shipping, and learning from production-quality web applications. — Proficient in React and TypeScript, able to contribute confidently in a large codebase. — Strong visual and interaction design skills, able to make technical or data-rich products understandable while retaining advanced user control. — Comfortable working across graphical interfaces, CLI workflows, API behavior, and implementation details, with attention to accessibility, performance, failure recovery, and instrumentation. — Use customer research and product data to make decisions, communicate clearly, challenge ideas constructively, and adapt based on evidence. — Experience using coding agents daily, with ability to explain, test, debug, and take responsibility for code produced. — No required path; candidates may come from product design, frontend engineering, creative development, or other backgrounds. Bonus If You: — Have experience with developer tools, infrastructure products, model marketplaces, or observability. — Have worked with AI models, providers, inference platforms, guardrails, or AI application tooling. — Have experience with APIs, command-line tools, structured product content, or agent-facing interfaces. — Have built applications or agents with Vercel’s AI SDK or AI Gateway. Compensation & Benefits: — Competitive compensation package including equity. — Inclusive Healthcare Package. — Mentorship and support for professional growth including events. — Flexible Time Off. — Equipment and WFH budget provided. — Salary range for San Francisco base: $208,000 - $312,000 per year, adjusted by location. Work Format: — Fully remote for candidates located beyond commuting distance from SF, NY, London, or Berlin offices. — In-office anchor days (Monday, Tuesday, Friday) if within commuting distance. Equal Opportunity: — Vercel is committed to an inclusive community and does not discriminate based on protected characteristics. — Encourages all to apply even if not meeting every job description criterion.

Location: Remote - USA Workplace: Remote The Customer Outcomes Team (COT) is made up of cryptocurrency investigators, blockchain data experts, and enablement specialists who help transform Chainalysis data into real-world impact. Chainalysis is seeking a customer-focused, technically strong Deployment Strategists to lead the end-to-end delivery, adoption, and ongoing success of our Data Solutions product. This role sits at the intersection of data engineering, analytics, domain expertise, and customer partnership. This individual will work directly with customers to understand their mission, design and deliver tailored solutions using Chainalysis data and products, and act as a trusted technical and domain advisor. Success in this role requires deep technical capability, an understanding of blockchain and crypto investigations, and an exceptional ability to develop strong customer relations. IN THIS ROLE, YOU’LL: - Own end-to-end delivery of Chainalysis Services engagements, from discovery through implementation, education, and ongoing monitoring. - Partner directly with Financial Institution (FI) customers to understand their AML/CFT compliance and market expansion objectives and translate into data-driven monitoring solutions. - Design, build, and maintain custom compliance workflows, notebooks, and dashboards that allow private sector customers to identify and mitigate exposure to illicit activity. - Act as the primary technical point of contact for Americas-based private sector customers, building trusted relationships through hands-on data expertise and industry knowledge. - Lead solution design discussions and technical deep dives focused on integrating Chainalysis data into existing bank infrastructure and compliance stacks. - Deliver briefings and presentations to both technical data teams and non-technical compliance leadership, bridging the gap between data science and regulatory expectations. - Collaborate closely with internal Product, Engineering, and Regulatory Affairs teams to influence the roadmap for our compliance and market expansion-centric data offerings based on customer feedback. - Support and mentor other Services team members by sharing best practices for navigating the unique regulatory and competitive landscape of the Americas (e.g., BSA, Travel Rule, OFAC). WE’RE LOOKING FOR CANDIDATES WHO HAVE: - Delivered customer-facing data or analytics solutions specifically within the private sector. - Built insights from complex financial datasets and communicated risk-based findings to internal or external audit/compliance stakeholders. - Worked directly with customers in AML, KYC, financial crime, or regulatory compliance domains within the Americas region. - Experience navigating the compliance requirements of traditional financial institutions or high-growth FinTechs. - Operated successfully in fast-paced environments requiring the ability to pivot between different regulatory jurisdictions and customer risk appetites. - Ideally supported cryptocurrency compliance workflows, such as alert tuning, SAR filing, or sanctions screening. TECHNICAL SKILLS: - Strong proficiency in Python and SQL for data analysis, transformation, and building automated compliance monitoring solutions. - Experience building notebooks and dashboards that visualize risk metrics and transaction patterns. - Solid understanding of data modeling and working with large-scale financial transaction data. - Ability to quickly develop deep expertise in Chainalysis data structures to map them to traditional banking "Know Your Transaction" (KYT) needs. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Seoul, South Korea Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment and exceptional customer presence. You should be comfortable reasoning through technical tradeoffs, designing scalable solutions, and partnering closely with Forward Deployed Engineering when deeper engineering support is required. In this role, you own the engagement outcome. You will lead our most complex, multi-workstream engagements in Korea, decide when Forward Deployed Engineers are needed for code-intensive work, and coach others to raise the bar across our Services practice. WHAT YOU'LL ACHIEVE: - Lead Notion’s most complex, multi-workstream customer engagements in Korea end to end, from scoping and discovery through launch, adoption and handoff, often where the future state and success measures are not yet defined. - Shape Services scope, effort estimates and implementation strategy with account teams during pre-sales, then deliver against the agreed scope, timeline and outcomes, recovering engagements that go off track. - Drive executive alignment on ambiguous, high-stakes decisions: facilitate discovery and architecture workshops, frame tradeoffs clearly and deliver hard messages directly. - Decide where Notion should own, complement or connect to existing systems, and design scalable architectures and AI-native workflows to a production quality bar, including permission design, AI evaluation, human-in-the-loop controls and operational ownership. - Orchestrate Forward Deployed Engineers, partners and internal teams: define when deeper engineering is required and set clear scope, ownership and handoffs. - Lead change management and adoption through stakeholder alignment, champion programs, phased rollouts and enablement, so customer teams sustain usage and realize measurable value. - Coach other architects and partners, and scale the Korea Services practice through reusable reference architectures, packaged solutions and localized enablement. - Turn field patterns into evidence-backed product signals (customer pain, business impact, expected outcome and frequency) that influence Notion’s roadmap. SKILLS YOU'LL NEED TO BRING: - 5+ years of experience in tech services/consulting, solutions architecture, implementation, customer engineering, or a similar customer-facing role. - Proven ability to translate ambiguous customer goals into clear workflows, implementation plans, solution architectures, and measurable success criteria. - Strong consultative discovery skills, including the ability to map current-state workflows, identify customer pain, understand operating models, surface technical constraints, and define practical future-state solutions. - Hands-on AI builder mindset, with experience using AI tools to design, prototype, automate, or improve real business workflows. - Proven track record of designing and deploying AI-powered workflows or agents in production for customers. - Hands-on technical depth in data modeling and permission design, API and integration patterns, agent design and evaluation, enterprise security and governance, and data validation with SQL or scripts. You do not need to write production code. - Strong experience delivering implementations that drive adoption, change management and long-term customer value. - Strong project and engagement management skills, including ownership of scope, timeline, deliverables, stakeholder alignment, risks, decisions, dependencies and launch readiness. - Experience scoping Services work, estimating effort and delivering within agreed commercial boundaries. - Exceptional written and verbal communication, with the ability to simplify complex technical concepts for business, technical, and executive audiences. - Strong executive presence and customer judgment, with the ability to build trust, frame tradeoffs clearly, and move ambiguous decisions forward. - Experience coaching consultants or architects, and building methods, reference architectures or packaged services that others adopt. - Bias toward action, high learning velocity, and comfort building in fast-changing AI-native product environments. - Professional fluency in Korean and English. NICE TO HAVES: - Experience with Notion, APIs, MCPs, Workers, coding agents or developer platform workflows. - Experience delivering for large Korean enterprises and navigating complex, multi-stakeholder decision processes. - Experience enabling or co-delivering with implementation partners. - Previous experience in a fast-paced, high-growth technology environment. A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: — Разработка микросервисов на Go для кредитного конвейера Uzum Nasiya, миграция кодовой базы с PHP и переход MariaDB→PostgreSQL. — Приведение текущей архитектуры Uzum Nasiya к лучшим практикам высоконагруженных и отказоустойчивых платформ: выделять доменную логику, готовить миграции и переносить критичные правила в Go-сервисы. — Обеспечить production-качество: надёжность и производительность. — Метрики, профилирование, деградации, устойчивость к сбоям. — Разработка Go-сервисов Uzum Nasiya и смежных контуров. — Анализ и декомпозиция legacy-логики в монолите. — Проектирование и реализация API/событийных контрактов. — Рефакторинг/стабилизация монолита там, где это оправдано. — Покрытие критичной логики тестами (unit/integration/contract). — Оптимизация производительности и устойчивости под нагрузкой. — Эксплуатация: мониторинг, инциденты, улучшение SLO. Требования: — Go — уверенный продовый уровень, микросервисы, конкурентность, тестирование, профилирование. — Kafka/event-driven — проектирование обработчиков, ретраи, DLQ, идемпотентные консюмеры. — Kubernetes/CI-CD (желательно, есть SRE) — контейнеризация, деплой, базовые практики эксплуатации. — Надёжность — метрики/трейсы/логи, алерты. — Опыт миграции монолита, выделения сервисов, strangler-pattern, feature flags, совместимость контрактов. Условия: — Амбициозные задачи и возможность влиять на ключевые бизнес-процессы. — Сильная техническая команда, которая всегда готова делиться опытом. — Крутая продуктовая культура. — Опираемся на исследования и метрики, фокусируемся на результате. — Свобода действий и возможность напрямую влиять на развитие бизнеса. — Гибкий график. — Гибридный или удаленный формат работы на выбор, главное — результат. — Официальное оформление по ТК УЗ. — Три дополнительных оплачиваемых дня к отпуску (отпуск по ТК УЗ 24 дня). — Мы резидент IT-парка, наши специалисты могут получить IT-визу, которая приравнивается к ВНЖ. — Развитие личного бренда на конференциях, митапах и внутренних событиях.

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers’ lives easier while continuously improving internal systems to deliver faster and at the best cost. If you’re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we’d love to hear from you. About the Role Are you passionate about building scalable backend systems while owning the cloud infrastructure that powers them? As a Senior Backend Engineer (Platform & DevOps) at Toters, you'll split your time between designing and developing production-grade backend services and improving the cloud platform, deployment pipelines, and operational excellence that enable our engineering teams to deliver software safely and efficiently. In this role, you'll own services end-to-end—from application design and implementation to deployment, monitoring, scalability, security, and production reliability. Working closely with Software Engineers, Product Managers, and Infrastructure teams, you'll help build resilient systems that power our products while continuously improving the developer experience. In this role, you will: Backend Engineering Collaborate with cross-functional teams to translate business requirements into scalable backend solutions. Design, develop, test, and maintain high-performance backend services using PHP (Laravel). Design and build RESTful APIs and microservices that power customer-facing and internal applications. Write clean, maintainable, and well-tested code following engineering best practices. Optimize application performance, database queries, caching strategies, and system scalability. Participate in architecture discussions and contribute to technical decisions that improve long-term maintainability. Conduct thoughtful code reviews and mentor engineers through technical guidance and best practices. Platform & DevOps Design, build, and maintain cloud infrastructure on AWS to support highly available and scalable applications. Build and improve CI/CD pipelines that enable fast, reliable, and secure software delivery. Manage containerized applications using Docker and Kubernetes. Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or similar tools). Improve system observability through monitoring, logging, alerting, and performance dashboards. Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency. Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews. Implement security best practices for applications, infrastructure, secrets management, and access control. Continuously improve deployment processes, operational tooling, and developer experience across engineering teams. Key Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 6+ years of experience in backend software engineering, with significant hands-on experience in cloud infrastructure and DevOps practices. Strong experience developing backend applications using PHP (Laravel) . Solid understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and software architecture. Experience designing and building RESTful APIs, distributed systems, and microservices. Strong experience with relational databases such as PostgreSQL or MySQL , along with caching technologies such as Redis . Strong hands-on experience with AWS , including services such as EC2, ECS, Lambda, RDS, S3, IAM, CloudWatch, VPC, and SQS. Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools. Experience working with Docker and Kubernetes in production environments. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Strong understanding of Linux systems, networking fundamentals, and cloud security best practices. Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, Prometheus, or the ELK stack. Experience owning production systems, participating in on-call rotations, and resolving production incidents. Strong communication skills with the ability to collaborate across teams and mentor engineers. Passion for building scalable, secure, and reliable systems while continuously improving engineering excellence. Nice to Have Experience with Go , Python , or additional backend programming languages. Experience with messaging and streaming technologies such as Kafka , RabbitMQ , or AWS SQS/SNS . Experience deploying serverless applications using AWS Lambda. Experience with Helm, ArgoCD, or GitOps workflows. Experience building Internal Developer Platforms (IDPs) or improving developer tooling. Experience with service mesh technologies such as Istio or Linkerd. Experience working in high-growth technology companies, e-commerce, or on-demand delivery platforms. AWS certifications are a plus. Why Toters? Flexible work environment with hybrid-friendly roles. Opportunity to work across software engineering and cloud infrastructure, building systems that directly power Toters' products. Solve complex engineering challenges involving backend architecture, cloud infrastructure, automation, and distributed systems. Collaborate with talented engineers in a culture of ownership, mentorship, and continuous learning. Direct impact on products used by thousands of customers every day. Competitive compensation package. Exclusive discounts on Toters orders. First-class medical insurance.

Location: Metn, Lebanon Head of AI Transformation The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers' lives easier while continuously improving internal systems to deliver faster and at the best cost. If you're excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we'd love to hear from you. About the Role Are you ready to make AI leverage a company's defining competitive advantage? As a Head of AI Transformation at Toters, you'll transform how we build software, unlock every function to build with AI, and compound our proprietary data and intelligence into product and business outcomes. The role sits above day-to-day line management and is accountable for outcomes, cross-org alignment, and unblocking. You'll own direction, standards, and outcomes, while delivery is co-owned with our platform and area teams. In this role, you will: Your mandate spans four workstreams. AI-native software development Own the strategy and operating model for AI across planning, development, review, testing, and release. Take our internal AI development harness to maturity across every engineering team, and define reusable AI workflows for our main types of engineering work. Own AI governance: guardrails, code review policy (including reducing human review load where AI review quality supports it), validation standards for AI-generated code, and cost and usage visibility per team. Deliver velocity with safety, measured by cycle time, review load, defect trends, and cost per unit of output. Everyone is an AI builder. Grow our internal AI building platform beyond engineering, activating domain experts across Product, Operations, Finance, and Commercial as builders. Shape a Forward-Deployed Engineering function that finds high-value opportunities across the business and lands them as working AI solutions. Build a compounding intelligence layer of shared context, prompts, patterns, and learnings that makes every new build faster than the last. Drive adoption, measured by live use cases, functions actively building, and time from idea to working tool. AI-native internal tooling Make the AI-native path the default for building internal and admin tools, with the traditional engineering queue as the exception. Partner with our admin platform and Design System teams so AI-built tools compose with shared foundations rather than fragmenting them. Free up engineering capacity, measured by engineer-hours per month, moved from low-complexity internal requests to strategic work. AI-powered customer features Enable product teams to ship customer-facing AI features, partnering with our Applied AI platform on personalization, semantic search and recommendations, fraud intelligence, and intelligent spend. Set the bar for production AI: evals, guardrails, degradation paths, and measurable business attribution for every AI feature. Deliver shipped product impact: AI features live across multiple product domains with attributable gains in conversion, retention, or efficiency. Across all workstreams Drive alignment with engineering, product, and business leaders, and clear the blockers that slow adoption. Act as Toters' technical reference on AI, guiding architecture decisions and evaluating tools, models, and vendors. Mentor engineers and builders across the company to raise AI fluency and engineering excellence. Report progress, trade-offs, and results clearly to leadership. Key Qualifications Bachelor's degree in Computer Science or a related field, or equivalent practical experience. 10+ years of software engineering experience, including several years setting technical direction across multiple teams at Staff or Principal level. Hands-on experience building and shipping production LLM systems: retrieval, agents and tool use, evals, and guardrails. Deep, daily experience with AI-assisted development tools, and a track record of driving their adoption across engineering teams. Strong system design and backend foundations, with the depth to review architecture across services, data, and infrastructure. Experience defining engineering standards, governance, or operating models and getting them adopted at organization level. A data-driven approach to measuring engineering productivity and business impact (e.g., DORA metrics, A/B testing). Proven ability to influence without authority across engineering, product, and business functions. Strong English communication skills and the ability to explain AI trade-offs to technical and non-technical audiences. Nice to Have Production ML experience in personalization, search and recommendations, or fraud detection. Experience enabling non-engineers to build with AI or low-code tools. Experience managing LLM cost, usage, and vendor strategy at scale. Experience as a Tech Lead Manager or leading a small engineering team. Familiarity with PHP (Laravel), PostgreSQL, Redis, and AWS. Previous experience with food delivery, e-commerce, or on-demand platforms. Public work on AI engineering: talks, writing, or open-source contributions. Why Toters? Define how a high-growth company builds with AI, with company-wide scope and direct backing from leadership. Flexible work environment with hybrid-friendly roles. Opportunity to lead impactful initiatives and shape technical strategy. Collaborate with talented engineers while growing your career. Strong culture of mentorship, collaboration, and continuous learning. Direct impact on products used by thousands of customers every day. Competitive compensation package. Exclusive discounts on Toters orders. First-class medical insurance.