Вакансии

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview We are looking for a Senior Software Development Engineer to join our Business Systems Engineering (BSE) organization. We build the platform and applications that power the creation and production of Magic: The Gathering®, Dungeons & Dragons®, and Duel Masters®. These products drive over $2 billion in annual revenue and are beloved by millions of players worldwide. The systems we build are what make that work possible. This is a role with high impact and real stakes. You'll set technical direction, shape engineering culture, and lead others while staying hands-on. You'll work on the cutting edge of AI-driven software development, pairing technical excellence and engineering discipline with AI-accelerated delivery ensuring quality, reliability, and long-term maintainability. We're on a journey to make history, and we want you to help lead it! If you're motivated by ownership, care deeply about the craft, and want to build something that matters — join the party. Location and Work Arrangement This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Design and develop services and applications on AWS that are core to our product creation platform. Champion engineering standards across the organization, resulting in effective system design at both the application and service level. Leverage and enhance our AI-assisted development tooling, continuously improving the practices, review standards, and quality gates that keep AI-accelerated delivery reliable and maintainable. Own technical decisions end-to-end: assess tradeoffs, align partners, drive execution, and follow through without waiting to be asked. Translate business challenges into well-designed, scalable software solutions in partnership with product owners and cross-functional partners. Influence and build up your teammates through technical direction, and code and design reviews, supporting their growth and career development. What You'll Bring 8+ years of software engineering experience, with 2+ years in a lead, staff, or senior+ capacity. Proven track record building and operating production-grade enterprise software. Deep understanding of application and distributed system design and architecture patterns. Hands-on experience with AI-assisted development workflows and the judgment to critically evaluate AI-generated code against production quality standards. Proficiency in C#/.NET, Java, Go or comparable languages, AWS, Docker/Elastic Container Service (ECS)/Elastic Kubernetes Service (EKS), CI/CD pipelines, REST APIs, event-driven systems, and relational database design. A history of influencing engineers through pairing, feedback, and driving technical excellence among your team. A strong sense of ownership and the communication skills to drive outcomes across technical and non-technical partners. Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience. What Sets You Apart Experience with React.js or other popular frontend frameworks. Familiarity with event streaming platforms (e.g., Kafka, AWS Simple Notification Service (SNS)/Simple Queue Service (SQS)). Experience with Kubernetes, Terraform, or infrastructure-as-code practices. Curiosity about or knowledge of Wizards brands. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $144,100 — $216,100 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: 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 Nebius Token Factory is looking for a strategic and technical Product Marketing leader to define how the next generation of AI inference infrastructure is positioned and brought to market. In this role, you’ll shape messaging, launches, and go-to-market strategy for cutting-edge AI capabilities across enterprise audiences. You’ll work cross-functionally with Product, Engineering, and Sales to turn complex infrastructure and model innovation into clear, compelling narratives that drive adoption, enable customers, and differentiate Nebius in a rapidly evolving AI ecosystem. You’re welcome to work remotely from the United States. Your responsibilities will include: Define positioning, messaging, and differentiation for Token Factory across enterprise and AI-native customers Develop narratives around key inference use cases including agentic AI, multimodal AI, reasoning models, and fine-tuning Own go-to-market strategy and execution for launches, platform capabilities, model releases, and ecosystem partnerships Partner closely with Product and Engineering to shape roadmap priorities through customer, market, and competitive insights Lead sales enablement including pitch decks, battlecards, competitive positioning, and case studies We expect you to have: Have 7–10+ years of product marketing experience in AI, cloud infrastructure, developer platforms, or enterprise software Have experience bringing highly technical products to market for both developer and enterprise audiences Understand modern AI infrastructure, inference, open-source models, or cloud/GPU ecosystems Have a strong track record of product launches, GTM execution, and technical storytelling Can translate complex technical concepts into clear messaging for technical and business audiences Have experience supporting enterprise sales with strong enablement and competitive positioning Thrive in fast-moving, highly cross-functional environments Possess exceptional writing, communication, and storytelling skills Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $117,800 — $222,200 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: Lomira, WI The Michels Preconstruction Services, Inc. team plays a critical role in the development of large, complex energy, infrastructure, marine and transportation projects. The Preconstruction Services team consists of construction and technical professionals working with one another and with customers to develop creative solutions for turning construction ideas into reliable outcomes. Like our field construction teams, our Preconstruction Services team takes into consideration the safety, social and environmental responsibility, and the health and wellbeing of our people and the communities in which we work. We strive to make a difference in positive, respectful, and responsible ways. Our work improves lives. Find out how a career as an Alternative Delivery Manager can change yours. As an Alternative Delivery Manager, responsibilities include providing direction and management for all phases of alternative/collaborative delivery projects. This position requires involvement in all phases of an alternative/collaborative delivery project lifecycle from business development, teaming, pursuits & proposals, and active contract and design management. It is essential to be goal oriented, organized, and professional in order to exceed client expectations. Critical for success in this position is excellent verbal and written communication skills, the ability to multitask while managing work both with internal Michels teams and external partner and client teams, as well as the ability to quickly make well informed decisions. Why Michels Preconstruction Services, Inc.? We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We offer a comprehensive benefits package, including health, dental and vision, competitive paid time off plans and much more! We reward hard work and dedication with limitless opportunities We believe it is everyone’s responsibility to promote safety, regardless of job titles. Michels offers a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan. Depending on your position and location you may participate in a different benefit plan. Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You proactively build and sustain relationships with clients and general/ sub-contractors, both while on the job and through networking outside of work. You like to proactively communicate with client and your team at all times You enjoy providing leadership and project management guidance on design build pursuits and project delivery You have a drive to get results What it takes: Bachelor’s Degree in Construction Management or Civil Engineering, 5+ years of project management, construction management experience, or an equivalent combination Construction experience in transportation engineering or transportation construction projects, including, but not limited to, Highway DOT, bridges, foundations, retaining walls or federal projects PE & DBIA Certification (Desired) Experience and understanding of alternative delivery projects, including, but not limited to, design build, CMGC, or progressive design build Travel requirements will vary but could exceed 50% depending on assignment and project requirements Experience in key project leadership roles Considerable experience in client management on project pursuits, as well as in project delivery Understanding and experience with win strategies, pricing and project scheduling Experience in technical writing Understanding of Scheduling, Estimating and Project Controls Software A valid driver license for the type(s) of vehicles you may be driving and an acceptable driving record AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Menlo Park Workplace: Hybrid Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We're seeking a Forward Deployed Engineer embedded directly inside customer engineering teams, writing the code, building the tooling, integrations and configurations needed to get Blockstream's products into production. Additionally you ship what you build back into the core product. Operating within the Consulting Services organization, the Forward Deployed Engineer partners closely with Product Management, Engineering, Enterprise Sales, and Delivery teams to help customers successfully implement and adopt Blockstream's products. This is not a traditional configuration or support role. You will spend significant time working directly alongside customer engineering, operations, and technology teams, often onsite, to understand complex banking environments, solve technical challenges, and deliver production-ready solutions. As the technical bridge between customers and Blockstream, you will play a critical role in accelerating customer success while providing valuable implementation insights that continuously improve our products and delivery methodology. What You'll Be Doing (Responsibilities): Customer Delivery & Implementation - AI-first prototyping: Use AI-assisted development to stand up minimum viable solutions or proof of concepts on short turnaround notice, proving Enterprise Product value early in an engagement and hardening the winning prototypes into use case based playbooks. - Tech Pre-Sales: Support Enterprise Sales in technical pre-sales, RFP/RFI and security questionnaire responses; contribute to SOW scoping, effort estimation, and scope-change management. - Delivery: Own the technical delivery of Blockstream enterprise software from project kickoff through production deployment and post launch support - Financial Institutions: Work directly with financial institutions to understand business processes, operational workflows, and technical environments. - Configure, deploy, and optimize Blockstream products based on customer requirements and approved solution designs. - Success Criteria: Execute implementation planning, system configuration, testing, User Acceptance Testing (UAT), production deployment, and post-go-live support. Define success criteria, milestones and own implementation. - Deliver administrator and end-user enablement sessions to ensure successful customer adoption. - Enterprise integration: Integrate with core banking and capital-markets systems. Engineering & Technical Delivery - Controlled environments: Deploy into on-premise, network-isolated, and air-gapped banking environments under formal change control, producing the security and audit evidence that compliance and pen-test reviews require. - Design and implement integrations between Blockstream enterprise products and customer systems using required integration interfaces and data pipeline technologies. - Troubleshoot complex technical, configuration, and integration challenges throughout the implementation lifecycle. - Work closely with customer engineering teams to ensure secure, scalable, and production-ready deployments. - Develop reusable deployment assets, implementation playbooks, technical documentation, and best practices. - Collaborate closely with Engineering to resolve product issues and improve implementation quality. Customer Collaboration Embed directly with customer teams to gain a deep understanding of their operating environment and technical challenges. - Facilitate technical workshops, architecture discussions, and implementation planning sessions. - Act as a trusted technical advisor throughout the implementation lifecycle. - Build strong relationships across customer Technology, Operations, Security, and Engineering functions. Digital Assets Product Improvement Feedback Loop - Turn implementation learnings, customer feedback, and product enhancement opportunities into code - Identify repeatable deployment patterns across engagements and contribute to standardized implementation methodologies. - Partner with Product Management and Engineering to shape the roadmap and improve platform capabilities based on real customer implementations. - Help accelerate customer time-to-production through continuous improvement of deployment frameworks and best practices. What We Look for In You (Required Qualifications): - 4-8 years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, Professional Services, Technical Consulting, Implementation Engineering, or Enterprise Software Delivery. - Proficiency in at least one systems or backend language (e.g. Python, Go, Rust) sufficient to build and ship integrations, tooling and services independently - Experience implementing and deploying enterprise software solutions within complex customer environments. - Strong understanding of protocol intermediation, enterprise integration patterns, cloud technologies, security fundamentals and modern software architectures. - Experience working directly with enterprise customers throughout implementation and deployment projects. - Strong analytical, troubleshooting, and problem-solving skills. - Ability to translate business requirements into scalable technical solutions. - Comfortable collaborating across Product Management, Engineering, Enterprise Sales, and Consulting teams. - Strong customer-facing communication and stakeholder management skills. - Self-starter with proven ability to work independently while managing multiple customer engagements. - Willingness to travel regularly to customer locations across North America for the US based role. - Excellent English skills are required Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, like private banking, wealth management, custody, payments, treasury, or capital markets. - Background in Bitcoin, blockchain, digital assets, tokenization, or fintech. - Experience integrating enterprise software using APIs and modern integration frameworks. - Knowledge of cloud platforms, containerized deployments, or infrastructure automation. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience contributing product feedback from customer implementations into engineering roadmaps. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: New York Workplace: Remote Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We're seeking a Forward Deployed Engineer embedded directly inside customer engineering teams, writing the code, building the tooling, integrations and configurations needed to get Blockstream's products into production. Additionally you ship what you build back into the core product. Operating within the Consulting Services organization, the Forward Deployed Engineer partners closely with Product Management, Engineering, Enterprise Sales, and Delivery teams to help customers successfully implement and adopt Blockstream's products. This is not a traditional configuration or support role. You will spend significant time working directly alongside customer engineering, operations, and technology teams, often onsite, to understand complex banking environments, solve technical challenges, and deliver production-ready solutions. As the technical bridge between customers and Blockstream, you will play a critical role in accelerating customer success while providing valuable implementation insights that continuously improve our products and delivery methodology. What You'll Be Doing (Responsibilities): Customer Delivery & Implementation - AI-first prototyping: Use AI-assisted development to stand up minimum viable solutions or proof of concepts on short turnaround notice, proving Enterprise Product value early in an engagement and hardening the winning prototypes into use case based playbooks. - Tech Pre-Sales: Support Enterprise Sales in technical pre-sales, RFP/RFI and security questionnaire responses; contribute to SOW scoping, effort estimation, and scope-change management. - Delivery: Own the technical delivery of Blockstream enterprise software from project kickoff through production deployment and post launch support - Financial Institutions: Work directly with financial institutions to understand business processes, operational workflows, and technical environments. - Configure, deploy, and optimize Blockstream products based on customer requirements and approved solution designs. - Success Criteria: Execute implementation planning, system configuration, testing, User Acceptance Testing (UAT), production deployment, and post-go-live support. Define success criteria, milestones and own implementation. - Deliver administrator and end-user enablement sessions to ensure successful customer adoption. - Enterprise integration: Integrate with core banking and capital-markets systems. Engineering & Technical Delivery - Controlled environments: Deploy into on-premise, network-isolated, and air-gapped banking environments under formal change control, producing the security and audit evidence that compliance and pen-test reviews require. - Design and implement integrations between Blockstream enterprise products and customer systems using required integration interfaces and data pipeline technologies. - Troubleshoot complex technical, configuration, and integration challenges throughout the implementation lifecycle. - Work closely with customer engineering teams to ensure secure, scalable, and production-ready deployments. - Develop reusable deployment assets, implementation playbooks, technical documentation, and best practices. - Collaborate closely with Engineering to resolve product issues and improve implementation quality. Customer Collaboration Embed directly with customer teams to gain a deep understanding of their operating environment and technical challenges. - Facilitate technical workshops, architecture discussions, and implementation planning sessions. - Act as a trusted technical advisor throughout the implementation lifecycle. - Build strong relationships across customer Technology, Operations, Security, and Engineering functions. Digital Assets Product Improvement Feedback Loop - Turn implementation learnings, customer feedback, and product enhancement opportunities into code - Identify repeatable deployment patterns across engagements and contribute to standardized implementation methodologies. - Partner with Product Management and Engineering to shape the roadmap and improve platform capabilities based on real customer implementations. - Help accelerate customer time-to-production through continuous improvement of deployment frameworks and best practices. What We Look for In You (Required Qualifications): - 4-8 years of experience in Software Engineering, Forward Deployed Engineering, Solutions Engineering, Professional Services, Technical Consulting, Implementation Engineering, or Enterprise Software Delivery. - Proficiency in at least one systems or backend language (e.g. Python, Go, Rust) sufficient to build and ship integrations, tooling and services independently - Experience implementing and deploying enterprise software solutions within complex customer environments. - Strong understanding of protocol intermediation, enterprise integration patterns, cloud technologies, security fundamentals and modern software architectures. - Experience working directly with enterprise customers throughout implementation and deployment projects. - Strong analytical, troubleshooting, and problem-solving skills. - Ability to translate business requirements into scalable technical solutions. - Comfortable collaborating across Product Management, Engineering, Enterprise Sales, and Consulting teams. - Strong customer-facing communication and stakeholder management skills. - Self-starter with proven ability to work independently while managing multiple customer engagements. - Willingness to travel regularly to customer locations across North America for the US based role. - Excellent English skills are required Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, like private banking, wealth management, custody, payments, treasury, or capital markets. - Background in Bitcoin, blockchain, digital assets, tokenization, or fintech. - Experience integrating enterprise software using APIs and modern integration frameworks. - Knowledge of cloud platforms, containerized deployments, or infrastructure automation. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience contributing product feedback from customer implementations into engineering roadmaps. 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Zürich, CH About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Detection & Response (D&R) team protects our systems, users, and data from security threats. We're looking for a Technical Program Manager to own and grow incident management within D&R. This is a senior specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You'll own our incident response lifecycle, from detection and triage through containment, remediation, and post-incident review. Some of the highest-impact work happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working across engineering, security, infrastructure, and product teams so that broad fixes and systemic improvements actually get implemented. Beyond managing incidents, you'll make sure the organization learns from them and gets better each time. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role The Detection & Response (D&R) team plays a critical role in protecting our systems, users, and data from security threats. We’re looking for an experienced Technical Program Manager to own and evolve incident management within D&R. This is a senior-level specialization on the Technical Program Manager ladder, focused on how we detect, respond to, and learn from security and operational incidents. You’ll be the driving force behind maturing and scaling our incident response lifecycle—from detection and triage through containment, remediation, and post-incident review. Critically, some of the highest-impact work in this role happens after the immediate response: gathering data on incident trends, reporting on patterns and root causes, and working cross-functionally across engineering, security, infrastructure, and product teams to ensure that broad fixes and systemic improvements are actually implemented. You won’t just manage incidents—you’ll make sure we get meaningfully better after each one. Responsibilities Own the end-to-end D&R incident management program: detection workflows, response processes, escalation paths, communication standards, and remediation tracking. Serve as incident commander for security incidents, driving clear coordination across executive, engineering, security, legal, and other appropriate stakeholders. Establish and run incident commander rotations within D&R, ensuring clear ownership and effective coordination during incidents of varying severity. Drive post-incident accountability by defining how action items are captured, assigned, tracked, and completed across teams—ensuring follow-through on both tactical fixes and strategic improvements. Gather, analyze, and report on incident trends and patterns to surface systemic risks, recurring root causes, and areas where the organization is most vulnerable. Translate trend analysis into actionable cross-functional initiatives: partner with engineering, infrastructure, security, and product teams to prioritize and implement broad fixes and preventive improvements that address root causes rather than symptoms. Lead incident review forums (post-mortems, retrospectives) and ensure learnings are captured, socialized, and acted upon across the organization. Develop and maintain D&R incident response documentation, playbooks, runbooks, and training materials; keep them current as the threat landscape and our systems evolve. Partner with detection engineering to improve alert fidelity, reduce noise, and shorten time-to-detection for security events. Define, develop, and track incident management KPIs and report regularly to D&R and Security leadership. Support broad cross-functional training and initiatives to uplevel security awareness across the company (e.g. Tabletop exercises, training, talks). You may be a good fit if you: Have 7+ years of experience in technical program management, incident management, or security operations, with significant time spent in a detection & response or security incident response context. Have led or built incident response programs at a technology company, ideally in a high-growth or security-intensive environment. Have a demonstrated track record of turning incident data into organizational improvements—not just writing post-mortems, but driving the cross-functional work to implement systemic fixes. Are comfortable participating in on-call responsibilities and leading incident response during high-severity security events, including off-hours. Have experience building and scaling operational processes from the ground up in environments where structure didn’t previously exist. Excel at driving accountability and follow-through across multiple teams without direct authority—you know how to influence, track, and close the loop. Have strong analytical skills and experience with incident trend analysis, metrics reporting, and data-driven prioritization. Are highly organized with a knack for bringing structure to ambiguous, fast-moving situations. Have excellent communication skills, especially under pressure and when coordinating across technical and non-technical stakeholders, including executive leadership. Thrive in fast-paced environments where priorities shift and you’re often working with incomplete information. Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $365,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building and securing data center capacity at an unprecedented pace, and the power and cooling equipment that goes into those sites — switchgear, UPS, generators, transformers, busway, chillers, CDUs, air handlers, pumps and piping skids — is long-lead, high-value, and unforgiving of defects. A single nonconformance discovered at site can cost weeks of schedule. We're hiring a Manufacturing Quality Engineer to own quality at the source: inside our OEMs' and integrators' factories. You will qualify suppliers, define acceptance criteria, witness factory acceptance tests, drive corrective action to closure, and make sure equipment leaves the factory complete, conforming, documented, and ready to install. You are the person who catches the problem in Ohio before it becomes a problem in Texas. This is a hands-on individual-contributor role on the Compute DC Infrastructure team, partnering daily with Electrical and Mechanical Engineering, Strategic Sourcing, Construction, and Commissioning. It is not a supplier-relationship-management role and not a people-management role — the emphasis is technical quality engineering at manufacturing facilities. What You'll Do Supplier qualification and readiness Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release. Translate Anthropic engineering specifications into supplier-facing quality requirements: inspection and test plans (ITPs), acceptance criteria, witness/hold points, and documentation deliverables. Partner with Strategic Sourcing to embed quality requirements, Supplier Quality Agreements, and FAT/documentation expectations into RFPs and contracts. Factory acceptance and in-process quality Plan, witness, and sign off factory acceptance tests (FATs) for electrical gear (switchgear, UPS, transformers, gensets, busway, PDUs) and mechanical systems (chillers, CDUs, CRAH/fan walls, dry coolers, pumps, piping skids), including functional, performance, and integrated-system testing. Conduct in-process and pre-shipment inspections at supplier facilities; verify build-to-print conformance, workmanship, labeling, and traceability. Review and approve supplier test reports, quality data packages, and turnover documentation; ensure equipment ships complete and installation-ready. Nonconformance and corrective action Own the nonconformance (NCR) and deviation process for factory-found issues; lead containment, disposition, and root-cause analysis using 8D, 5-Why, FMEA, and fault-tree methods. Drive supplier corrective and preventive actions (CAPA) to verified closure with measurable, sustained improvement. Investigate field-reported defects that trace back to manufacturing, and feed lessons learned into supplier requirements, ITPs, and future RFPs. Metrics and continuous improvement Define and track supplier quality KPIs — first-pass FAT yield, defect rate, NCR aging, on-time documentation, supplier scorecards — and report them in quarterly supplier business reviews. Apply SPC and statistical analysis to supplier process data to identify systemic risk before it reaches a FAT. Help build the quality framework for a rapidly scaling, multi-supplier, multi-region equipment pipeline — templates, checklists, audit standards, and the operating rhythm around them. Who You Are 6–10+ years of quality engineering, manufacturing quality, or supplier quality experience in electrical or mechanical equipment manufacturing, mission-critical infrastructure, or a comparable regulated/high-consequence industry. Hands-on experience with at least one side of the data center equipment stack — medium/low-voltage switchgear, UPS, generators, transformers, busway, or chillers, CDUs, air handlers, pumps — and the curiosity to come up to speed fast on the other. Proven record planning and witnessing FATs and conducting supplier audits, with the judgment to know when to hold a shipment and when to accept with deviation. Deep fluency in structured problem-solving and quality tools: 8D, RCA, FMEA, SPC, control plans, PPAP or equivalent. Able to read electrical one-lines, P&IDs, and mechanical drawings and check a build against them. Strong technical writing — you produce ITPs, audit reports, and NCR packages that stand on their own. Comfortable operating with high autonomy and ambiguity, and communicating clearly to engineers, suppliers, and leadership. Bachelor's degree in Electrical, Mechanical, Manufacturing, or Industrial Engineering, or equivalent experience. Nice to Have Experience with hyperscale or AI data center equipment supply chains, or with OFCI (owner-furnished, contractor-installed) delivery models. Familiarity with liquid-cooling systems (CDUs, manifolds, quick disconnects) and the cleanliness, pressure, and leak-test regimes they require. Working knowledge of relevant standards: UL 891/1558/1778, IEEE C37, NEMA, AHRI 550/590, ASHRAE 90.4, ASME B31.x, ISO 9001 auditing. ASQ CQE/CQA, Six Sigma Green/Black Belt, or lead-auditor certification. Experience standing up a supplier quality function or QMS from a small base. Proficiency with QMS/ERP platforms and data tools (SQL, Power BI, or similar). Logistics Location: [San Francisco / hybrid — or remote US with hub access?] Travel: [40–60%] to supplier and integrator factories across the US and [internationally], with occasional visits to active construction sites. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Zurich; Geneva Workplace: Hybrid Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers passionate about Bitcoin and its potential to change the future of finance. We have become a market leader in Bitcoin security and Layer-2 technologies. Our products are designed to make financial systems more efficient, secure, and robust. We are seeking a Technical Solutions Consultant (Pre-Sales), a customer-facing technical expert responsible for helping financial institutions evaluate, design, and adopt Blockstream's enterprise software solutions. Operating within the Consulting Services organization, the Solutions Engineer partners closely with Enterprise Sales, Product Management, Engineering, and Delivery teams to support the customer journey from technical discovery and solution architecture through product demonstrations, Proof of Concepts (PoCs), and technical validation. This is not a traditional pre-sales role. You will spend significant time working directly with customers, often onsite, understanding their business, technical, and regulatory requirements, designing enterprise-grade solutions, and acting as a trusted technical advisor throughout the sales cycle. You will help financial institutions understand how Blockstream's products solve complex business challenges while ensuring proposed solutions are scalable, practical, and aligned with customer needs. What You'll Be Doing (Responsibilities): Customer Engagement & Technical Sales - Partner with Enterprise Sales to support strategic opportunities across financial institutions. - Lead technical discovery workshops to understand customers' business, operational, regulatory, and technical requirements. - Build trusted relationships with customer stakeholders, including CIOs, CTOs, Enterprise Architects, Operations, and Engineering teams. - Deliver compelling product demonstrations, technical presentations, and solution walkthroughs. - Support Proof of Concepts (PoCs), solution validation activities, and technical evaluations. - Serve as the primary technical advisor throughout the sales process. Solution Design & Architecture - Design end-to-end solution architectures leveraging Blockstream's enterprise software products. - Translate customer requirements into scalable technical solutions and implementation approaches. - Define solution assumptions, integration approaches, deployment models, and technical dependencies. - Collaborate with customers to identify implementation risks and recommend best practices. Commercial & Deal Support - Lead or contribute to responses for RFPs, RFIs, technical questionnaires, and security assessments. - Support commercial discussions by providing technical expertise and solution positioning. - Help package Blockstream products into repeatable enterprise offerings, demonstrations, and implementation approaches. - Clearly communicate the value proposition and differentiators of Blockstream's products. Cross-Functional Collaboration - Partner with Product Management, Engineering, Security, Delivery, and Consulting teams. - Feed customer and market feedback back to Product Management. - Help improve demos, technical collateral, reference architectures, and solution playbooks. - Contribute to repeatable implementation methodologies and sales enablement materials. What We Look for In You (Required Qualifications): - 5-8 years of experience in Solutions Engineering, Sales Engineering, Solution Architecture, Technical Consulting, or Enterprise Software Pre-Sales. - Experience supporting enterprise software sales within banking, financial services, fintech, or technology infrastructure environments. - Strong understanding of enterprise software architecture, APIs, integration patterns, cloud technologies, and modern software deployment models. - Experience designing end-to-end enterprise solutions for complex customer environments. - Strong presentation, communication, and storytelling skills, with the ability to explain complex technical concepts to both business and technical audiences. - Experience delivering customer workshops, technical demonstrations, and executive presentations. - Experience supporting RFPs, RFIs, technical proposals, and solution validation. - Ability to work collaboratively across Enterprise Sales, Product, Engineering, Consulting, and Delivery teams. - Self-starter with proven ability to manage multiple customer engagements while delivering a high-quality customer experience. - Willingness to travel regularly to customer locations across Switzerland. Languages - Excellent English skills required. German and/or French strongly preferred. Italian is also considered a strong advantage. Location We are hiring for Switzerland (Zurich or Geneva) Nice To Haves (Preferred Qualifications): - Experience working with financial institutions, including private banking, wealth management, custody, payments, treasury, or capital markets. - Background in blockchain, Bitcoin, digital assets, tokenization, or fintech. - Knowledge of core banking platforms, financial market infrastructure, or enterprise integration technologies. - Familiarity with Layer-2 technologies and digital asset infrastructure. - Experience in enterprise software organizations serving regulated industries. - Track record of feeding customer and market feedback into product strategy.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Tax team is hiring a Tax Director to own the company's global income tax provision and US income tax compliance function. This is a core operational leadership role: you will run the quarterly and annual ASC 740 close, manage the co-sourced compliance program, and build the processes, controls, and team that keep both scaling with the company. What makes this seat unusual is what flows through it. Anthropic is deploying capital into compute and data center infrastructure at a scale and pace with few precedents, alongside an active program of acquisitions, joint ventures, and strategic investments — and every one of those transactions lands in the provision and the returns. We prefer candidates who bring familiarity and hands-on experience with complex M&A and infrastructure transactions on top of the core provision and compliance skill set: someone who can own the tax purchase price allocation workpapers, write the technical memo on a novel financing or lease structure, and then carry that answer correctly through the ASC 740 close and into the compliance workstream. Key responsibilities Own the quarterly and annual worldwide income tax provision: current and deferred computations, effective tax rate reconciliation, deferred tax inventory and valuation allowance assessments, stock-based compensation, uncertain tax positions, and return-to-provision true-ups Own the tax journal entries, account reconciliations, income tax footnote and disclosures, and the supporting workpapers and SOX controls; manage the financial statement audit relationship with our Big 4 auditors Coordinate the international components of the provision with the team and outside advisors, and drive continuous improvement in close speed and quality Manage the US federal and state income tax compliance program, working with our co-sourced Big 4 providers: returns, estimated payments and extensions, elections and disclosures, and the compliance calendar Own cash tax forecasting and support tax authority notices, examinations, and audit defense Drive automation and tax technology adoption across the provision and compliance processes, including AI tooling Own tax purchase price allocation workpapers for acquisitions: taxable vs. nontaxable characterization, ASC 805 opening balance sheet deferred taxes, goodwill component analysis, and reconciliation to the tax basis balance sheet — plus tax diligence, structuring, and integration (reorganization qualification, equity compensation in deals, Section 382, transaction costs, stub period returns) Analyze data center and compute infrastructure arrangements — lease classification, sale-leasebacks, Section 467 rent schedules, build-out cost recovery — and the financing structures around them: debt vs. equity characterization, prepayments, vendor financing, warrants and equity instruments in commercial agreements, and joint venture formations and buyouts Prepare and review technical memos documenting positions for auditors and leadership, and model the cash tax and effective tax rate consequences of proposed structures for Corp Dev, Finance, and Legal while deals are being negotiated Mentor and develop tax team members and help build the function as the company grows Manage outside advisors on opinions, studies, and valuations, and own those budgets and relationships Minimum qualifications Have substantial experience managing a corporate tax function in the multinational software and technology industry, including hands-on experience running the income tax provision and compliance processes, with a combination of Big 4 public accounting and in-house tax department experience Have owned the full ASC 740 provision cycle at a multinational company — not just reviewed pieces of it — including deferred taxes, valuation allowance judgments, uncertain tax positions, footnote and disclosures, SOX controls, and auditor management Have managed a US federal and state income tax compliance program at scale, including co-sourced arrangements with Big 4 providers Bring familiarity and hands-on experience with complex M&A transactions — tax purchase price allocations, ASC 805 opening balance sheet accounting, diligence and structuring — and ideally experience with infrastructure leases, build-outs, and the financing arrangements behind them Write clear, well-organized technical memos that hold up with Big 4 auditors, and can explain the same issue in plain terms to non-tax partners Hold a CPA; a Master's in Taxation or LLM is a plus Thrive on novel fact patterns and ambiguity, and default to building the workpaper and writing the position down rather than waiting for a template Preferred qualifications Familiarity and experience with data center or similar capital-intensive infrastructure transactions — hyperscaler-scale compute, energy, or telecom deals, project finance, or joint venture structures Experience analyzing warrants, convertible instruments, or other equity components embedded in commercial and supply agreements, and debt-equity analysis for intercompany and third-party financing An interest in applying AI tools to tax workflows The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mexico We are looking for a highly skilled and motivated Middle+/Senior Product Analyst to lead the analytics function within our Customer Care Team . The Customer Сare agent workspace built on the CRM Platform for handling requests and resolving customer issues. It provides case management, step-by-step procedures and automations that reduce handling time and errors. The agent workspace connects to Telephony and Chat for omnichannel service, and to core banking systems to execute actions safely. It enhances compliance through standardized flows, role-based access, and complete interaction logs. Challenges that await you: Detect anomalies in contact volume and drive them down to root causes — from one-off incidents to systemic product issues Develop the contact topic and trigger detection system: set up and improve labeling processes, apply ML/NLP approaches for automated classification Form and prioritize hypotheses for reducing contact rate, run and analyze A/B tests (onboarding, screens, features), and turn results into product decisions Build a support quality assessment framework: a consolidated "traffic light" across key metrics with transparent methodology and regular review with the team Communicate findings to product and operations stakeholders and influence the change backlog What makes you a great fit: A mathematical or technical degree from a top university such as MSU, MIPT, HSE, MSTU, MEPhI, or NSE Strong knowledge of mathematical statistics, probability theory, and systematic thinking Experience in hypothesis testing and validation Advanced SQL and Python Hands-on experience with Tableau, Superset, or similar BI tools to translate data into actionable insights Ability to understand business objectives and translate them into analytical tasks Experience in building analytical infrastructure and team processes Excellent communication skills English proficiency at B1+ level or higher for effective collaboration with an international team Our ways of working: Innovative Spirit: a team from the best technical universities Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who dare to challenge the status quo of incumbent finances Our benefits: Relocation support to our hub in Mexico with assistance for the employee and their family Flexible work from our office Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: Annual leave and paid sick leave as per applicable policies

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Auth & Identity team builds the authentication, authorization, and identity platform that underpins every Anthropic product: the API, Claude Code, Claude.ai, and our Enterprise offerings. Every login, API key, OAuth token, access decision, and organization record flows through the systems we own. As Claude moves from a chat product to an agentic platform, we are defining what identity and access look like when the actor is a human, a service account, or an autonomous agent acting on someone's behalf. We are a platform team with a product surface. The horizontal is the set of services every product consumes: credential minting and exchange, authorization controls, and the canonical record of users, service accounts, agents, and the organizations they belong to. The vertical is the experience where admins author that policy: SSO and SCIM setup, roles and permissions, IP allowlisting, and API key policies. Our work falls into four pillars: Authentication – Who you are. Credential minting, exchange, and lifecycle; sessions; workload identity federation; auth for async and agentic workloads. Authorization – What you can do. The policy framework for model, membership, role, and resource access. Identity – Who belongs to what. The tenant and organization model, and first-class identity for humans, service accounts, and agents, portable across surfaces and cloud environments. Enterprise – How enterprises connect. SSO, SCIM, login policies, and the admin controls that let customers provision and govern users from their own identity provider. What you'll do You will own critical, high-traffic systems end to end, from design through rollout, operations, and iteration, and help shape the technical strategy for how identity and access work across Anthropic. Representative problems we are working on right now: Designing credentials for agents and long-running autonomous workloads. Routing every access decision through a unified authorization system, with low latency, security guarantees, and multi-region resilience. Building a first-class identity model for service accounts and agents, and linking those identities to other identity and auth systems. Global distribution and multi-region failover for some of the company’s most mission-critical services. Deepening enterprise integration: login policies and recovery methods, self-service allowlisting, and tighter integrations with providers. You will work closely with product, security, infrastructure, and the product teams that consume our primitives, and you will be expected to set technical direction, not just execute on it. Many of the problems are 0-to-1 with no established pattern to copy; others are careful migrations of systems that every Anthropic customer depends on in the hot path. You might be a good fit if you: Have 8+ years of experience building and operating backend or platform systems at scale, ideally including identity, authentication, authorization, or security-adjacent infrastructure. Have worked with some of: OAuth 2.0 and OIDC, SAML, SCIM, JWTs and token exchange, workload identity federation, policy engines such as Cedar or OPA, or RBAC and resource-level access control models. Care deeply about reliability and security. You design for on-call, failure modes, revocation, and the engineer who inherits your system, and you treat availability of auth as table stakes for every product built on it. Are comfortable owning large migrations in live, high-traffic systems: shadow modes, incremental rollouts, and clean retirement of legacy paths. Take a product-focused approach to platform work and build primitives that are easy for other engineers to adopt correctly, with documentation and self-service as part of the deliverable. Can navigate ambiguity and make sound technical decisions independently, and communicate clearly with cross-functional partners and stakeholders. Are familiar with using AI tools as part of your software development workflow. Strong candidates may also have Experience with globally distributed databases and multi-region service architecture. Experience working in Go, Python, Rust, or TypeScript across a rapidly changing codebase. Prior work on enterprise identity integrations with major identity providers and cloud IAM systems. Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE TEAM The Applied AI for Defense team is Mistral's specialized unit dedicated to delivering high-impact, secure AI solutions for institutions operating in highly regulated and strategic environments. We work hand-in-hand with clients to design, deploy, and maintain AI systems that meet the highest standards of reliability, security, and operational excellence, including on-premise, disconnected, and air-gapped deployments. As an AI Deployment Strategist on this team, you will drive the adoption and deployment of Mistral's AI solutions inside sovereign institutions and critical infrastructure, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, under real operational, security, and compliance constraints. You will partner with senior leaders and mission owners to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to projects with significant societal, operational, and strategic impact. WHAT YOU WILL DO Strategic Discovery & Vision Setting - Lead executive-level and mission-owner workshops to identify challenges and opportunities where Mistral's AI can drive step-change improvements in strategic environments. - Co-create AI adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value within their regulatory and security perimeter. - Collaborate with Account Executives to develop business cases, quantify impact, and align solutions with mission and organizational objectives. AI Solution Design & Deployment - Architect end-to-end AI solutions, integrating Mistral's models and platform into customer workflows and secure technical infrastructure (cloud, on-premise, disconnected, air-gapped). - Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability, security, and impact. - Own the execution of pilots and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. Value Realization & Customer Success - Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral. - Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors. - Proactively identify expansion opportunities across use cases and units, building on initial successes to drive long-term partnerships. Cross-Functional Collaboration - Act as the bridge between customers and Mistral's internal teams, synthesizing feedback to influence product, science, and security roadmaps. - Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence in regulated settings. - Travel (~30-60%) to foster deep client relationships and support on-site deployment. HOW WE WORK IN SOLUTIONS - We care about people and outputs. What matters is what you ship, not the time you spend on it. - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before. - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. WHAT WE'RE LOOKING FOR - 2+ years in a client-facing strategic and technical role (e.g. data science consulting, value engineering, or technical sales). - A degree in a relevant scientific field (e.g. Computer Science, Data Science, Engineering). - Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences. - Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value. - Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions. - Executive presence and communication skills to influence senior stakeholders (VP, C-level, mission owners). - Resilient, results-driven, and comfortable leading through influence in a collaborative environment. - Comfort operating under security, compliance, and confidentiality constraints. - Experience with sales qualification frameworks (e.g. MEDDPICC) and value-based selling is a plus. - Experience deploying AI in regulated or sovereign environments (defense, public sector, critical infrastructure) is a plus. SECURITY & COMPLIANCE CRITERIA - Eligibility: must hold citizenship in the target territory (France for now). - Clearable: must meet all local requirements for high-level security clearance (e.g. no criminal record, fulfillment of national service obligations). WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: London Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ROLE SUMMARY As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral's AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring customers achieve transformative outcomes. You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver production solutions, and ensure smooth transitions from pre-sales to post-sales. The Applied AI for Defense team is Mistral's specialized unit dedicated to delivering high-impact, secure AI solutions for institutions operating in highly regulated and strategic environments, including on-premise, disconnected, and air-gapped deployments. In this role, you will drive adoption inside sovereign institutions and critical infrastructure across the UK, partnering with senior leaders and mission owners under real operational, security, and compliance constraints to deliver projects with significant societal, operational, and strategic impact.   WHAT YOU WILL DO   STRATEGIC DISCOVERY & VISION SETTING - Lead executive-level and mission-owner workshops to identify challenges and opportunities where Mistral's AI can drive step-change improvements in strategic environments. - Co-create AI adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value within their regulatory and security perimeter. - Collaborate with Account Executives to develop business cases, quantify impact, and align solutions with mission and organizational objectives. AI SOLUTION DESIGN & DEPLOYMENT - Architect end-to-end AI solutions, integrating Mistral's models and platform into customer workflows and secure technical infrastructure (cloud, on-premise, disconnected, air-gapped). - Partner with the Applied AI team to design, prototype, and deploy AI solutions in production, ensuring scalability, security, and impact. - Own the execution of pilots and proofs-of-value, demonstrating the potential of our technology and paving the way for full-scale deployment. VALUE REALIZATION & CUSTOMER SUCCESS - Serve as a trusted advisor to customers, guiding their AI strategy and ensuring they maximize the value of their investment in Mistral. - Monitor key performance indicators tied to operational and business outcomes, and communicate progress to executive sponsors. - Proactively identify expansion opportunities across use cases and units, building on initial successes to drive long-term partnerships. CROSS-FUNCTIONAL COLLABORATION - Act as the bridge between customers and Mistral's internal teams, synthesizing feedback to influence product, science, and security roadmaps. - Develop reusable assets, best practices, and playbooks to scale go-to-market efforts and ensure consistent delivery excellence in regulated settings. - Travel (~30-60%) to foster deep client relationships and support on-site deployment.   WHAT WE'RE LOOKING FOR - 2+ years in a client-facing strategic and technical role (e.g. data science consulting, value engineering, or technical sales). - A degree in a relevant scientific field (e.g. Computer Science, Data Science, Engineering). - Foundational knowledge of AI/ML/Data Science, with the credibility to advise both technical and non-technical audiences. - Hands-on experience building and deploying AI applications (Python, JavaScript, or similar) to demonstrate value. - Strong business acumen and problem-solving skills, with the ability to structure ambiguous challenges into actionable solutions. - Executive presence and communication skills to influence senior stakeholders (VP, C-level, mission owners). - Resilient, results-driven, and comfortable leading through influence in a collaborative environment. - Comfort operating under security, compliance, and confidentiality constraints. NICE TO HAVE - Experience with sales qualification frameworks (e.g. MEDDPICC) and value-based selling. - Experience deploying AI in regulated or sovereign environments (defence, public sector, critical infrastructure).   SECURITY & COMPLIANCE (VERTICAL-SPECIFIC): - Eligibility: must be a UK national - Clearable: must meet all requirements for UK national security vetting (e.g. Security Check (SC) and/or Developed Vetting (DV)), including no relevant criminal record and the ability to satisfy residency and background checks.   WHY THIS ROLE MATTERS   You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.     HIRING PROCESS   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Finland; France; Germany; Netherlands; Remote - Europe; Spain; Sweden; United Kingdom 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 As we continue to scale our business across EMEA, we are looking for an experienced Director, Solutions Architecture EMEA to lead our customer-facing Solutions Architecture organization across the region. This is a leadership role responsible for building, developing and scaling a high-performing Solutions Architecture organization across multiple countries and markets. You will partner closely with EMEA Sales leadership, establish the operating model for the regional team, and ensure our Solutions Architects consistently deliver outstanding technical leadership and business value to customers. The scope of the role reflects where the business is today; as we scale, we expect the organization to specialize and subdivide, and this leader will help shape and staff that evolution. We are looking for an experienced people leader who can build and empower strong teams while remaining close to customers, technology and our most strategic opportunities. You’re welcome to work remotely from Europe . Your responsibilities will include: Build, lead and coach a high-performing Solutions Architecture team across multiple countries and markets in EMEA Own the Solutions Architecture engagement model for EMEA in close partnership with regional Sales leadership, including how coverage and ownership are divided as the team expands Establish clear priorities, operating mechanisms and performance expectations across the regional Solutions Architecture organization Develop and scale the organization as the business grows, including hiring, coaching and developing senior technical professionals and future leaders Engage directly with CIOs, CTOs, Heads of Infrastructure, Heads of AI/ML, Business leaders and other senior stakeholders across strategic customers and partners Champion the voice of EMEA customers internally and provide guidance for Nebius's Product and Technology roadmap We expect you to have: Proven people-management experience , including hiring, coaching and developing senior technical professionals and leaders A strong track record of leading customer-facing technical teams across EMEA , with experience managing teams distributed across multiple countries and markets Demonstrated experience building, scaling and operating regional Solutions Architecture, Sales Engineering, Customer Engineering or similar technical organizations Strong player-coach mentality with the ability to operate effectively at both leadership and execution levels — from organizational strategy and talent development to direct engagement in strategic customer opportunities Deep understanding of the EMEA technology market and the ability to operate effectively across different countries, cultures, customer segments and levels of market maturity Ability to operate effectively across both the technical and business dimensions of complex customer engagements and influence C-level and senior stakeholders Excellent executive communication, presentation and stakeholder-management skills Ability to operate effectively in a fast-growing environment where team structures, coverage boundaries and scope of ownership will continue to evolve It will be an added bonus if you have: Strong understanding of cloud-native infrastructure, including compute, storage, networking, security and Kubernetes Leadership experience within a public cloud, hyperscaler or rapidly scaling cloud infrastructure organization Experience with GPU-based infrastructure workloads and accelerated computing Experience designing or supporting machine learning and AI workloads , including training and inference Understanding of distributed AI/ML infrastructure and the compute, networking and storage considerations associated with large-scale GPU workloads Experience with Kubernetes-based AI/ML platforms, MLOps or AI infrastructure Experience helping customers evaluate the economics of large-scale compute or GPU workloads #LI-PL1 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: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Software Development Engineer in Test with extensive industry experience to define and execute the design, development, and maintenance of Fivetran’s test automation tools and framework using reliable and scalable techniques. As a Senior SDET, you will focus on solving complex testing difficulties by designing, developing and improving automation and reporting frameworks. You will invest in improving test stability and performance of the framework by developing innovative solutions to boost Fivetran’s testing efficiency. You will also coach Fivetran quality engineers to be the best in class automation engineers, and will continuously work with the team to ensure high standards for automation. The ideal candidate will be highly technical, detail-oriented, creative, motivated, and focused on achieving results. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite Cloud & Platform: AWS, GCP, Azure Observability & Monitoring: Grafana, Prometheus, Datadog CI/CD & Automation: Jenkins, CircleCI, GitHub Actions Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies Databases: SQL and NoSQL databases (e.g., Postgres, SAP , Oracle, DB2 ertc) What You’ll Do Review requirements, specifications and technical design documents to provide meaningful, risk-focused feedback. Design and evolve scalable automation frameworks in Java with a strong emphasis on reliability, performance, and data correctness. Write high-signal test strategies for complex features and automate them across multiple environments. Improve CI/CD pipelines by building robust validation layers that prevent silent failures and regressions. Build internal tools and proof-of-concepts using AI/LLM technologies to: Accelerate debugging and failure triaging Generate high-quality test scenarios Detect flaky patterns or regression risks Improve log analysis and root-cause identification Enhance developer and QA productivity Design AI-assisted workflows that integrate seamlessly into the existing automation and release pipelines. Experiment with and implement agent-based systems or LLM-powered tooling that streamline development and testing processes. Actively measure and improve engineering impact through reliability metrics, automation efficiency, and defect prevention signals. Collaborate with engineering teams to drive a culture of quality ownership and automation-first thinking. Collaborate with engineering and product leaders to align testing priorities and business objectives. Skills We’re Looking For 6+ years of experience in the software industry with strong passion for quality, automation, and engineering excellence. Deep understanding of OOP principles and strong proficiency in Java. Expertise in designing scalable automation frameworks and identifying negative, edge, and high-risk scenarios. Strong understanding of distributed systems risks such as schema drift, idempotency failures, data inconsistencies, and race conditions. Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes). Experience building and maintaining CI/CD pipelines with tools such as Jenkins, Buildkite. Experience working with backend automation frameworks. Testing data pipeline or ELT platforms, with hands-on exposure to Change Data Capture (CDC) mechanisms, connector-based data ingestion, and validating data accuracy and consistency across source and destination systems at scale. Deep understanding of database internals Demonstrated ability to leverage AI/LLM tools to significantly accelerate development, debugging, test design or automation activities. Experience building AI-assisted tools, workflows, or agents that integrate into engineering pipelines. Bonus Skills​ Experience testing against cloud data warehouses (Snowflake, BigQuery, Redshift) or CDC source databases (Oracle, SQL Server, PostgreSQL, MySQL) Familiarity with log-based CDC mechanisms (binlog, WAL, ) and handling schema drift or evolution scenarios. Exposure to distributed systems testing, large-scale data reconciliation, and containerized environments (Docker, Kubernetes) on cloud platforms (AWS/GCP/Azure). Familiarity with data extraction using API-based polling, batch/file ingestion, and query-based incremental syncs. #LI-HYBRID #LI-VM1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. Currently, we are looking for Senior Backend Engineer for Elva. Location: Remote Job Type: Full-Time ABOUT THE PRODUCT: We’re building an AI-driven video production platform that transforms ideas, references, and media fragments into structured video content. The product uses a multi-agent AI system to handle different stages of the creative process — from content analysis and scripting to editing and video production. It is designed for both professional creators and everyday users, allowing them to go from an initial concept to a finished video with significantly less manual work. ABOUT THE ROLE: We’re looking for an engineer who will help build and scale the core AI infrastructure behind the product. You’ll work on LLM-powered workflows, multi-agent systems, integrations, and backend services that turn user inputs into reliable production pipelines. The role combines hands-on engineering with architectural ownership: designing how agents interact, improving system reliability and performance, and experimenting with new AI capabilities. You’ll work closely with the product team and have significant influence over both the technical architecture and the quality of the final user experience. Our stack: - Python 3.12, FastAPI, Pydantic, SQLAlchemy 2.0 (async, asyncpg), Alembic - PostgreSQL (Cloud SQL) - Google Cloud: GKE (Kubernetes + Helm), Cloud Storage, BigQuery, Secret Manager - Ory Oathkeeper (API gateway), Centrifugo (real-time), n8n (worker orchestration), KEDA (autoscaling) - Docker, GitHub Actions, Artifact Registry - pytest (asyncio) + Testcontainers - structlog, Google Cloud Monitoring / Logging What we expect: - 5+ years of professional Python development, a solid share of it on an async stack (FastAPI / aiohttp / Starlette); deep understanding of asyncio. - Strong PostgreSQL: schema design, transactions and locking, indexes, slow query analysis. - Experience designing REST APIs and webhook integrations: idempotency, retries, consistent error handling. - Hands-on performance work: profiling, metrics, load testing, and fixing the bottlenecks you find. - Docker as a daily tool; Kubernetes at the "I deploy and debug my own service" level (each service ships its own Helm chart). - A habit of writing tests (unit + integration) and taking features to production end-to-end: from design to monitoring. Nice to have: - GCP experience (or AWS/Azure with willingness to switch to GCP), Terraform. - Mobile app billing: RevenueCat, Paddle, App Store / Google Play subscriptions. - Auth systems: JWT, refresh token rotation, API gateways. - Real-time messaging (WebSocket), workflow orchestration (n8n, Airflow, Temporal, Celery). - BigQuery and analytics pipelines. - Backend experience in mobile products. What’s next? If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider. We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.

Location: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Quantitative Researcher with 3–5 years of experience to develop and improve systematic trading signals using machine learning and statistical methods. The role focuses on non-linear signal modeling, regime-aware frameworks, and the integration of new data sources into existing research and risk systems. The researcher will work closely with traders and other quants, with clear ownership and direct impact on live trading. What you’ll be doing: · Design non-linear signal combination frameworks, improving upon existing linear and mean-variance approaches. · Build regime-aware models and conditional signal frameworks based on market states (e.g., volatility, correlations, risk conditions). · Research, develop, and validate machine learning–based trading signals on intraday and daily data. · Integrate signals into risk sizing, portfolio construction, and optimization frameworks. · Work closely with traders and infrastructure teams to transition research into production. Qualifications/Skills: · 3+ years of experience in quantitative research, systematic trading, or applied ML in financial markets. · Strong foundation in machine learning, statistics, and optimization with advance degree (masters/PhD) · Proficiency in Python and common data/ML libraries · Experience working with time-series data and building predictive models. · Strong analytical skills and ability to communicate results clearly to trading teams. The annual base salary range for this position is $150,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LR]