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Location: Town & Country Animal Hospital - Portland, Oregon Own Your Practice. Keep Your Purpose. A Hospital Ownership Opportunity at Town & Country Animal Hospital – Portland, OR Town & Country Animal Hospital , an AAHA-accredited practice in Portland, OR, is offering a rare opportunity for an entrepreneurial veterinarian to step into practice ownership without starting from scratch. If you've dreamed of running your own hospital but want the support of an established brand, loyal client base, and proven infrastructure, this is your moment. The Opportunity We're not looking for an employee. We're looking for an owner-operator , a veterinarian who wants to lead, build equity, and practice medicine on their own terms. Town & Country Animal Hospital is a thriving, well-equipped practice with a strong community reputation and a warm, close-knit team already in place. You'd be stepping into something real, with room to make it your own. Through our partnership model with Lakefield Veterinary Group , you'll have the autonomy of independent ownership backed by the resources, systems, and support of a larger network; the best of both worlds! What Ownership Looks Like Here Equity & Profit Participation : Build real wealth through practice ownership, not just a paycheck Clinical Autonomy : Practice medicine your way, with no corporate protocols overriding your judgment An Established Foundation : Walk into an AAHA-accredited hospital with existing staff, clients, equipment, and systems Network Backing : Leverage Lakefield's administrative support, purchasing power, HR infrastructure, along with training and education resources without losing your independence AI-Powered Efficiency Tools : Modern workflow and documentation tools so you spend more time on medicine and leadership, less on paperwork Flexible Structure : Design your schedule and model to fit the life you want The Practice Town & Country Animal Hospital is an AAHA-accredited, full-service small animal hospital that has proudly served Southeast Portland since 1985. Combining the warmth of a family veterinary practice with modern medical capabilities, the hospital is known for its compassionate care, strong client relationships, and commitment to high-quality medicine. The Market Town & Country Animal Hospital is located in Southeast Portland near the border of Portland and Gresham. This area offers a lower cost of living than Portland's downtown core while still providing easy access to the city's restaurants, entertainment, and outdoor recreation. Residents enjoy proximity to hiking and biking trails, parks, the Columbia River Gorge, and Mount Hood, making the area especially appealing for outdoor enthusiasts. The surrounding communities of Gresham, Happy Valley, and East Portland provide a mix of suburban neighborhoods, local restaurants, shopping centers, and family-friendly amenities. You're the Right Fit If You: Want clinical freedom without the isolation of going it truly alone Have wanted to own your practice but wasn’t sure where or how to start Value mentorship, community, and a people-first approach Are ready to stop trading time for salary and start building equity Let's Talk This kind of opportunity doesn't come along often: an established; respected practice, a fully staffed and experienced team; and a partnership model built for success. Whether you're an experienced DVM ready to own or an associate who's been waiting for the right moment, we'd love to explore this with you. Reach out to start a confidential conversation. Jessi Wootten- Jessi.wootten@lakefieldvet.com #LI-JW1

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Design is core to how we build products at Ramp. We're hiring a recruiter to help shape the team that will be responsible for it. You'll partner with design leadership to hire across Product Design, Design Engineering, and Brand Design. You'll lead searches from inception to close, helping teams identify, assess, and hire exceptional designers. The best designers are rarely on the market. A big part of the job is fostering relationships before someone starts their job search: through events, referrals, and ongoing engagement with the design community. You'll help Ramp stay connected to talent and cultivate the networks that drive future hiring.   WHAT YOU’LL DO - Own full-cycle recruiting across Product Design, Design Engineering, and Brand Design - Partner with design leadership to define hiring needs, align on candidate profiles, and calibrate talent across a range of design disciplines - Identify and engage talent through X, portfolio sites, and other industry channels - Build relationships with designers through referrals, events, and ongoing engagement with the design community - Partner with our Design Program Manager and design team to strengthen Ramp's presence in the industry - Improve how we hire by refining processes, leveraging new tools, and raising the quality of design recruiting at Ramp   WHAT WE’RE LOOKING FOR - 5+ years of recruiting or sourcing experience, including experience hiring for Design roles - Strong understanding of what differentiates great design talent - Exceptional relationship-building skills and a track record of earning trust with candidates, hiring managers, and senior leaders - Strong judgment, attention to detail, and operational rigor - An experimental mindset and a willingness to try new approaches to find, engage, and hire great talent - Experience using AI throughout the recruiting workflow to improve sourcing, candidate engagement, and execution BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Role We are seeking a Construction Project Manager to lead the delivery of mission-critical data center projects from preconstruction through commissioning and turnover. This is an owner-side role responsible for managing scope, schedule, budget, quality, and safety across ground-up builds, expansions, and fit-outs of critical facilities. You will be the primary point of accountability for general contractors, design teams, commissioning agents, and equipment vendors, ensuring facilities are delivered on an aggressive speed-to-market timeline without compromising reliability. What You'll Do Lead end-to-end project delivery for data center construction, owning cost, schedule, scope, quality, and safety from site selection support and preconstruction through Level 5 commissioning and operational handover. Manage general contractors, architects, MEP engineers, and specialty subcontractors, holding the project team accountable to contractual milestones and design intent. Drive coordination of mechanical, electrical, and plumbing systems — including utility power and substations, switchgear, UPS, generators, and air- and liquid-cooling infrastructure — recognizing that power and cooling drive the critical path. Develop and maintain integrated project schedules, identify critical-path risks early, and implement recovery plans to protect on-time, on-budget delivery. Manage project budgets, change orders, contingency, and forecasting; review pay applications and validate work in place. Own the commissioning process in partnership with the CxA, ensuring scripts, levels (L1–L5), and acceptance criteria are met before energization and turnover to operations. Enforce a strict safety culture, including the specific hazards of working in and around energized electrical environments and live critical facilities. Provide clear, regular reporting to leadership on schedule, budget, risk, and key decisions. Manage long-lead equipment procurement and vendor coordination, mitigating supply-chain risk on generators, switchgear, chillers, and cooling units. Support due diligence on site selection, including utility power availability, fiber, water, and constructability factors. What You'll Bring 7+ years of construction project management experience, with at least 3 years delivering data centers or comparable mission-critical / critical-environment facilities (hospitals, semiconductor fabs, pharma, or large-scale industrial). Direct working knowledge of data center MEP systems: power distribution, redundancy topologies (N+1, 2N), UPS, generators, and air and liquid cooling. Familiarity with the commissioning process and Uptime Institute Tier standards. Demonstrated ability to manage multimillion-dollar budgets and complex, schedule-driven projects with multiple stakeholders. Strong command of project controls, scheduling software (P6 or MS Project), and construction management platforms (Procore or similar). Excellent contractor and vendor management skills, with the ability to hold teams accountable while maintaining productive relationships. Bachelor's degree in Construction Management, Engineering, Architecture, or a related field — or equivalent field experience. Willingness to travel to and be on-site at project locations as required. Nice to Have Experience delivering for hyperscale or colocation clients. Exposure to liquid-cooling deployments and high-density rack environments. PMP, CCM, or relevant OSHA certifications. Experience managing projects in greenfield or speculative-build environments. Why This Role Matters The work you deliver is the physical backbone of cloud and AI infrastructure. These facilities have to be built fast, built right, and run without interruption — and the project manager is the single person who makes all of that come together. 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: Neenah, WI Accounts Receivable Specialist Location: Neenah, WI | Full-time Strengthening our nation’s power grid isn’t easy, but reliable electrical service is essential to everyday life. Every time someone charges an iPhone, cranks up the A/C, or turns on a computer, we are busy behind the scenes making it happen. Michels Power, Inc. is one of the largest, most sought-after power delivery contractors in the United States. We execute the entire spectrum of electrical infrastructure projects—including the construction of transmission lines and substations, the modernization of distribution systems, and the development of both Oil & Gas facilities and Renewable Energy initiatives. We also restore power after natural disasters strike. Our work improves lives. Find out how a career at Michels Power, Inc. can change yours. As a Accounts Receivable Specialist, you will be responsible for managing the invoicing process to ensure timely and accurate receipt of payments for goods and services. This includes generating invoices in accordance with contractual requirements, preparing lien waivers and supporting documentation, verifying that customers pay invoices in full, and maintaining detailed records for compliance and audit purposes. The role requires strong attention to detail, excellent organizational and communication skills, and the ability to handle sensitive financial information with discretion. You must be comfortable utilizing third-party invoicing platforms and participating in meetings with project management teams to resolve billing issues and support cross-functional collaboration. Success in this position depends on the ability to manage multiple priorities, maintain accuracy in a fast-paced environment, and contribute to continuous process improvement. Why Michels Power, Inc.? Engineering News-Record ranks us the No. 1 Electrical Transmission/Distribution contractor in the U.S. We’re a national leader in substation and transmission construction with a long track record of success. 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 per year in training and career development. We perform high-impact, essential work that supports homes, businesses, and communities. We believe everyone is responsible for promoting safety—regardless of title. We’re part of the Michels family of companies—one of North America’s largest and most diversified energy and infrastructure contractors. We offer a comprehensive benefits program including: Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans (Benefits may vary based on position and location) Why you? You like to surround yourself with dedicated, value-driven people. You thrive on new challenges and evolving technologies. You think “we’ve always done it this way” is not a good enough reason. You want to know your efforts are recognized and appreciated. You like making your own decisions—with the right support. You want to be part of a team that improves lives through essential infrastructure. What it takes: High School Diploma or General Education Diploma (GED), 1-3 years of related experience, or an equivalent combination of education and experience. Proficient in the Microsoft Office Suite. Desired Qualifications: Prior experience in the construction industry Join a company that powers progress. Be a part of Michels Power, Inc.—where you don’t just build projects, you build a career. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role We are seeking a highly organized and detail-oriented People Systems Project Manager with strong experience in HR systems, HR operations, and process optimization. This role will support the growth and scalability of the People function by leading HR systems implementations, integrations, and workflow improvements. The ideal candidate combines HRIS expertise with operational HR knowledge and understands how technology capabilities align with real-world People processes. Experience within HR Operations, HRBP functions, or People Systems is highly valued. Reporting Line This role reports directly to the Head of Projects and Programs (Enterprise Technologies), with a dotted-line reporting relationship to the Head of People Systems. The People Systems team owns the strategy and governance for core HR platforms, while this role is responsible for project execution, delivery, and driving scalable process improvements in partnership with HR stakeholders. Key Responsibilities: Lead HR systems and process improvement projects from planning through rollout Partner with People Operations, HRBPs, and Operations teams to optimize workflows and system usage Translate HR business requirements into scalable system solutions and process documentation Drive implementation and optimization of HRIS workflows, automations, and integrations Use project management tools (e.g., Jira) to manage timelines, priorities, and reporting Identify opportunities for process simplification, automation, and standardization Ensure data accuracy, governance, and compliance across People systems Manage stakeholder communication, expectations, and adoption across projects Required Qualifications: Strong experience with HRIS platforms and People systems Background in HR Operations, HRBP, People Systems, or related functions Experience managing HR systems implementations or transformation projects Strong understanding of employee lifecycle processes and HR workflows Ability to balance business needs with system capabilities and scalability Excellent project management, organizational, and stakeholder management skills Nice to Have: Experience with platforms such as Workday, HiBob, BambooHR, or SuccessFactors Familiarity with Jira or similar project management tools Experience with workflow automation and process optimization initiatives PMP, Scrum Master, or HRIS-related certifications 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.

Задачи: — Проектирование, разработка и поддержка RESTful API для фронтенд-приложений и интеграций с корпоративными системами. — Оптимизация схем DynamoDB, индексов и паттернов доступа к данным для масштабируемых приложений. — Разработка и поддержка AWS Lambda функций на Python для бизнес-логики и автоматизации. — Модификация и улучшение контактных потоков и логики маршрутизации Amazon Connect. — Проектирование событийно-ориентированных архитектур с использованием Lambda, EventBridge, SQS, SNS и API Gateway. — Сотрудничество с Amazon Professional Services по вопросам внедрения и улучшения решений. Требования: — Опыт работы с AWS не менее 8 лет. — Опыт работы с Amazon Connect (контактные потоки, маршрутизация, очереди, интеграции) не менее 4 лет. — Уверенное владение Python и разработка AWS Lambda функций. — Обширный опыт проектирования RESTful API и интеграций бэкенда. — Глубокие знания в проектировании схем DynamoDB и оптимизации производительности. — Опыт работы в Agile среде. Плюсы: — Опыт работы с Infrastructure as Code с использованием Terraform. — Опыт конвертации AWS CDK или CloudFormation шаблонов в Terraform. — Опыт работы с IBM ODM. Условия: — Гибкая удалённая работа "Work From Anywhere". — Комплексный компенсационный пакет, включая медицинскую страховку и курсы языков. — Программа релокации. — Возможности профессионального развития через сертификационные программы и наставничество. — Инклюзивная мультикультурная среда с регулярными тимбилдингами.

Location: Algeria (East) Workplace: onsite Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team ABOUT THE ROLE Optimize the sale of Yassir products by developing the customer portfolio in the sector and ensuring the development and management of its customer portfolio. TASKS

О КОМПАНИИ Мы в EMCD развиваем глобальную crypto / fintech экосистему и сейчас усиливаем сразу два ключевых технологических направления: • EMCD Mining Pool — инфраструктурный продукт для криптомайнинга (high-load real-time системы, хешрейт, выплаты). • Coinhold / Wallet — кастодиальный кошелек для хранения и управления активами, объединяющий крипту, фиат, Web3-активы и AI-native финансовые сервисы. Ищем двух сильных технических лидеров на роли: 1. CTO — CRYPTO MINING Фокус роли: • Техническая стратегия и архитектура Mining Pool; • Развитие систем учета хешрейта, rewards, payouts и monitoring; • Обеспечение надежности 24/7, высокой доступности и безопасности инфраструктуры; • Управление инженерными командами и развитие инженерной культуры; • Внедрение CI/CD, observability, incident management и RCA; • Взаимодействие с product, security и platform командами. Будет важно: • Опыт CTO / Head of Engineering / Lead Architect от 3 лет; • Опыт с high-load, distributed или real-time systems; • Понимание mining pool mechanics или blockchain-систем; • Сильная экспертиза в system design, reliability и observability; • Опыт в crypto / Web3 / fintech будет плюсом. 2. CTO — CRYPTO WALLET PLATFORM Фокус роли: • End-to-end техническое видение и архитектура crypto-fiat wallet платформы; • Масштабирование onboarding, payments, custody, swaps и Web3 assets; • Внедрение AI в продукт: personalization, fraud detection, financial insights, support automation; • Управление кросс-функциональными командами: backend, mobile, DevOps, data, security; • Развитие интеграций с банками, PSP, blockchain networks и custodians; • Обеспечение соответствия требованиям security, compliance, AML/KYC, PCI DSS, GDPR. Будет важно: • Опыт CTO / VP Engineering / Head of Engineering от 7 лет; • Опыт создания и масштабирования fintech- или crypto-продуктов для большого количества пользователей; • Сильный бэкграунд в distributed systems, payments или wallet infrastructure; • Опыт с crypto custody, multi-chain systems и transaction flows; • Опыт масштабирования engineering-команд от 20+ человек; • Опыт вывода AI/ML-функций в production будет большим плюсом. ЧТО ПРЕДЛАГАЕМ • Высокий уровень автономии и прямое влияние на продукт и технологическую стратегию; • Работа в быстрорастущей global crypto / fintech среде; • 20 оплачиваемых отпускных дней + 12 дополнительных дней в год; • 100% оплачиваемый больничный; • Корпоративные преимущества: скидки на продукты EMCD, доступ к mining infrastructure.

Location: Portugal; Albania; Greece; Bulgaria; Kosovo; Bosnia and Herzegovina; Italy; Spain; Malta; Romania; Ireland; Croatia; Serbia; Montenegro Workplace: Remote ABOUT BLOCK LABS Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong. ABOUT THE ROLE We are building the backend that powers how players experience our platform: a set of multi-tenant services that turn high-volume player activity into engaging, personalised, and trustworthy experiences. It is a broad and evolving remit, with real room to shape new products and capabilities as the platform grows. You’ll be joining a senior, highly technical team building greenfield backend services that react to player activity in real time and at scale. We value autonomy, craftsmanship, and long-term thinking, and we’re building event-driven systems designed for resilience, low latency, and trust. KEY RESPONSIBILITIES: - Design and build distributed backend services that power player engagement across a multi-tenant platform. - Develop core platform features and services across a broad and evolving set of player-facing domains, from engagement and personalisation to platform integrity. - Consume and process high-volume player activity streams, integrating with internal platforms (payments, game providers, player data) and relevant third-party tools. - Collaborate with product, frontend, data, and infrastructure teams to deliver reliable, end-to-end systems. - Contribute to architectural design and drive technical decisions across services. - Ensure scalability, fault-tolerance, and data integrity, including the correctness guarantees required when balances and player-facing decisions are involved. - Maintain clean, testable, and well-documented Go code following industry best practices. ABOUT YOU: - 6+ years of experience in backend development, ideally on high-throughput, real-time, or consumer-facing systems. - Strong proficiency in Go as a primary backend language; experience with gRPC and RESTful APIs is highly valued. - Solid understanding of distributed systems, multi-tenant architectures, and microservices. - Experience building consumer-facing or platform services where engagement, personalisation, or platform integrity matter is a strong advantage. - Comfortable working in cloud-native environments. - Deep commitment to software reliability, observability, and security best practices. - Excellent communication skills and a collaborative mindset. NICE TO HAVE: - Experience with rules engines, real-time scoring, or decisioning systems. - Background in fintech, real-time gaming and entertainment platforms, or other high-traffic consumer products. - Familiarity with event-driven systems, Kafka, or message queues. - Prior experience designing APIs for multi-tenant or white-label products. What kind of culture can I expect? Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.

Location: Berlin, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Funded A newly funded cybersecurity startup in Berlin is looking for a Engineering Team Lead to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered risk management platform. We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli intelligence units. We are looking for a hands-on Founding Engineering Team Lead for a hybrid role based in central Berlin. If you are passionate about cybersecurity and AI, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact. They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap , balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews , pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring , onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency , reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: San Francisco; Palo Alto; London; Seattle; New York City Workplace: Hybrid ABOUT THE ROLE The Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem. This is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity. KEY RESPONSIBILITIES - Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface. - Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions. - Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work. - Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption. - Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response. - Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries. - Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning. QUALIFICATIONS - 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation. - Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries. - Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes. - Deep expertise in at least one of the following: - Connector runtimes, API platforms, or MCP servers, including authentication and authorization. - Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context. - Search, ranking, recommendation, or tool discovery systems. - Marketplaces, developer platforms, or enterprise onboarding and activation experiences. - Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows. - Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed. - A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship. If you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: San Francisco; Palo Alto; London; Seattle; New York City Workplace: Hybrid ABOUT THE ROLE The Enterprise Knowledge Platform team builds the data and action layer that connects Perplexity's agents to the systems where enterprise work happens. Useful agents need more than access to APIs: they need to discover the right tools, understand an organization's data and terminology, and act reliably within its permissions. This team brings native connectors, MCP servers, and CLI-backed tools into a consistent platform, and builds the marketplace through which customers adopt integrations and partners extend the ecosystem. This is a product and platform engineering role with end-to-end ownership, from designing connector infrastructure and semantic models to shipping the experiences customers use to discover, connect, and activate integrations. You'll build the runtime that executes tool calls, the knowledge layer that makes enterprise context reusable across connectors, and the developer and marketplace foundations that help the ecosystem grow. Working with AI Research and Enterprise teams, you'll turn fragmented systems into reliable, permission-aware capabilities that agents can use to complete real work. The impact is direct: every improvement helps customers put their existing software and knowledge to work through Perplexity. KEY RESPONSIBILITIES - Own the connector runtime that registers, hosts, and executes native connectors, hosted MCP servers, and CLI-backed tools through a consistent agent-facing interface. - Build the semantic and knowledge layer, including tool and entity schemas, capability metadata, relationships, organization-specific terminology, and reusable corrections, while preserving provenance and source-system permissions. - Design discovery, search, and recommendation systems that help agents find relevant tools and context and help users and organizations choose integrations that fit their work. - Build the marketplace and activation experience end to end, from browsing and recommendations to installation, configuration, admin enablement, and ongoing adoption. - Make connector execution reliable and observable, with structured results, retries, idempotency, pagination, rate-limit handling, and recovery from partial failures. Own reliability targets, production monitoring, and incident response. - Implement connector authentication, credential isolation, and permission enforcement, partnering with Trust & Governance, Security, and Backend Platform on shared policies and tenant boundaries. - Build the onboarding and publishing path for internal teams and external partners, including schemas, test fixtures, validation, review, and versioning. QUALIFICATIONS - 4+ years of software engineering experience, with a track record of owning complex backend systems from design through production operation. - Strong system design skills, including building reliable, scalable platforms that integrate heterogeneous APIs and services with clear security and isolation boundaries. - Strong proficiency in a backend language such as Python, Go, or Rust, and hands-on experience with cloud infrastructure such as AWS and Kubernetes. - Deep expertise in at least one of the following: - Connector runtimes, API platforms, or MCP servers, including authentication and authorization. - Schema design, semantic modeling, or knowledge systems that capture relationships and organizational context. - Search, ranking, recommendation, or tool discovery systems. - Marketplaces, developer platforms, or enterprise onboarding and activation experiences. - Ability to work across backend infrastructure and customer-facing product experiences, translating complex integration requirements into clear APIs, developer tools, and intuitive workflows. - Sound technical judgment in security-sensitive, distributed systems, balancing credential isolation, permission correctness, and failure behavior with performance, usability, and delivery speed. - A track record of leading ambiguous, cross-team initiatives from architecture through adoption, setting technical direction for shared platforms, and raising engineering quality through mentorship. If you're excited about this role, we encourage you to apply even if you don't meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

About Mistral: At Mistral AI, we develop AI technology to simplify tasks, enhance learning and creativity, integrating seamlessly into daily work life. We offer high-performance, optimized, open-source AI models and solutions for enterprise needs on-premises or in cloud. Our AI assistant product is le Chat. Our teams are distributed across France, USA, UK, Germany, and Singapore. Role Summary: Seeking an experienced product manager to define and execute strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. Forge powers model fine-tuning, reinforcement learning, and post-training workflows, translating research into enterprise-ready solutions. Responsibilities: — Define and evangelize product strategy for Forge aligned with company goals and market opportunities — Lead market and UX research to identify unmet needs and trends in AI post-training capabilities — Own product lifecycle from ideation to launch and iteration, balancing speed, quality, and user experience — Collaborate with design and research to create intuitive, impactful user experiences using data and feedback — Work with marketing and sales on go-to-market strategies including pricing, positioning, and adoption — Align engineering, design, and business teams on priorities, trade-offs, and timelines — Maintain a dynamic roadmap delivering quick wins and long-term goals Requirements: — 5+ years product management experience in fast-paced, ambiguous environments with AI/ML or infrastructure solutions — Strong understanding of AI training pipelines, reinforcement learning loops, and model deployment architectures — Expertise in AI model lifecycle management including fine-tuning, evaluation, and serving — Experience with Infrastructure as Code, containerization, scalable deployment (on-prem, VPC, cloud) — Familiarity with Kubernetes/Slurm is a strong plus — User-focused with data-driven problem solving — Proven cross-functional influence without direct authority — Strong communication skills to explain complex technical concepts clearly — Adaptability to dynamic priorities — Collaborative, low ego, high emotional intelligence — Self-directed with ownership of outcomes Preferred: — Strong knowledge of model training and architectures — Proficient coding skills recommended — Kubernetes expertise recommended — Experience with product-led growth strategies — Founder or early-stage PM experience — Ability to prototype or dive into code Location & Work Format: — Based in Paris, France or London, UK offices — Remote work possible from France, UK, Germany, Belgium, Netherlands, Spain, Italy — Encouraged to work in office at least 3 days per week Conditions: — Competitive salary and equity (stock options) — Health insurance — Transportation allowance — Sport allowance — Meal vouchers — Private pension plan — Generous parental leave — Visa sponsorship

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Enterprise is central to Anthropic's mission. The organizations that could benefit most from Claude are often the most demanding buyers, with rigorous requirements around security, compliance, and control. We believe earning their trust is essential to ensuring AI benefits the world broadly. We're looking for an engineering manager for our Enterprise pillar —the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible. You'll build the foundational systems that large organizations require before they can deploy AI at scale. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. This role sits at the intersection of enterprise product, platform infrastructure, and go-to-market. You'll partner closely with product, design, sales, and customer success to understand what our largest customers need, then translate those requirements into scalable technical solutions that work across Claude.ai , Claude Code, and API. Responsibilities Lead and develop a team of engineers building out features and foundations that make Claude enterprise-ready at scale Own engineering execution end-to-end: planning, prioritization, delivery quality, team health, and incident response Partner with engineering teams throughout the company to ensure that the platforms we build are extensible and easy to adopt Partner with sales and customer success on enterprise deals—understanding requirements, representing engineering in key conversations, and turning what you learn into priorities Shape the roadmap with product and design, not just execute against it Drive the compliance and platform-readiness work your customers require, partnering with security and legal Recruit, onboard, and grow strong engineers; give direct feedback and build a healthy, high-performing team Minimum qualifications 4+ years of experience as an engineering manager, with experience in enterprise SaaS, cloud services, or admin tools Are comfortable executing at a fast pace to meet the expectations of our customers Are detail-oriented and quality-focused - our customers are using Claude for critical workflows and our product needs to stay robust and reliable Are comfortable working with enterprise customers, working alongside sales and customer success and joining customer conversations Are a skilled engineering manager who treats management as a craft—clear feedback, strong 1:1s, consistent investment in your team's growth Preferred qualifications Experience with AI/ML products and understanding how enterprises evaluate and deploy AI tools Background with compliance frameworks for regulated industries (SOC2, HIPAA) and enterprise audit logging requirements Experience building integrations, permissions, billing, or pricing infrastructure Familiarity with data residency and sovereignty requirements across global regions Startup experience, particularly in scaling enterprise platforms from early adoption to broad deployment Experience in working with research to improve domain specific model capabilities 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: Hybrid (Berlin, Germany). Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week). Company: A pioneering local delivery platform operating in over 70 countries, focusing on efficient, affordable, and sustainable last-mile delivery. What you will do: — Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems. — Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems. — Design and implement evaluation frameworks and safety guardrails for agent behavior and model performance. — Implement observability, monitoring, and cost visibility for LLM and agent workloads. — Collaborate with data scientists and platform engineers to integrate AI systems with the broader ML ecosystem. — Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale. Requirements: — Proven experience shipping LLM-powered systems or AI agents into production. — 4+ years of experience in production machine learning infrastructure, specifically involving LLMs. — Strong programming skills in Python with experience building scalable backend services. — Experience with Cloud platforms, ideally AWS or GCP. — Strong communication skills and ability to work collaboratively in cross-functional teams. Nice to have: — Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow. — Experience with LLM application frameworks such as LangChain, LangGraph, or LlamaIndex. — Experience with ML frameworks such as Hugging Face or PyTorch. Culture & Benefits: — Hybrid working model with 2 days a week in the Berlin campus. — 27 days of holiday, increasing with years of service. — €1,000 Educational Budget, language courses, and access to Udemy Business. — Health checkups, meditation, and gym/bicycle subsidies. — Employee Share Purchase Plan, corporate pension plan, and life/accident insurance. — Relocation support and dedicated relocation hub for moving to Berlin.

Bitrefill is a profitable fintech company operating globally, enabling people to spend crypto on gift cards, mobile top-ups, subscriptions, and bill payments in over 180 countries. The QA team is small, hands-on, and focused on building test automation infrastructure with autonomy and few meetings. Задачи: — Авторство и поддержка E2E автоматизированных тестов с использованием Playwright и Maestro. — Создание регрессионных, smoke и sanity тестов для критических процессов: оформление заказа, платежи, погашение подарочных карт, управление аккаунтом. — Интеграция автоматического запуска тестов в CI/CD для выполнения при каждом деплое на staging. — Работа с внутренним инструментом MCP для управления тест-кейсами через API в Qase. — Поиск и исправление нестабильных тестов, улучшение стабильности и скорости выполнения. — Сотрудничество с разработчиками для понимания новых функций и преобразования требований в автоматизированное покрытие. — Участие в планировании тестирования, оценке рисков и принятии решений о том, что автоматизировать, а что тестировать вручную или исследовательно. Требования: — Опыт 2-4 года в написании и поддержке E2E автоматизированных тестов. — Навыки программирования, опыт разработки, применение их в автоматизации тестирования. — Использование AI-инструментов для написания и отладки тестов. — Опыт с современными фреймворками автоматизации тестирования (Cypress, Playwright, Selenium и др.). — Опыт или интерес к мобильной автоматизации (Maestro, Appium, Detox и др.). — Умение работать в условиях ранних стадий QA, где процессы не фиксированы. — Владение JavaScript/TypeScript. — Опыт в backend-разработке и инфраструктуре. — Опыт тестирования API (REST, валидация запросов/ответов). — Знание концепций CI/CD и запуска тестов в пайплайнах. — Понимание рабочих процессов тестирования: кейсы, сьюты, прогоны, отчеты. Желательно: — Опыт с Spur или Maestro. — Опыт с инструментами управления тестами и API (Qase, TestRail и др.). — Интерес к Bitcoin/криптовалютам или опыт тестирования платежных/финтех продуктов. — Опыт тестирования e-commerce или маркетплейсов. Личностные качества: — Самостоятельность, готовность брать ответственность в небольшой удаленной команде. — Восприятие нестабильных тестов как задачи для решения. — Интерес к влиянию AI на QA и желание работать с AI-усиленными процессами. — Умение писать качественный код автоматизации и стремление к улучшению рабочих процессов.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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's Inference organization serves Claude to millions of users and enterprise customers with the speed, reliability, and efficiency that frontier AI demands. We build across GPUs, TPUs, and Trainium, and the complexity of our development environment grows with every platform we add. We're looking for a Staff engineer to be the technical lead for Inference Developer Productivity: the team that makes every engineer in the org dramatically more effective at building, testing, and shipping inference software. This is a senior IC role with broad technical ownership. You'll set technical direction for the team's toolchains, workflows, and feedback loops, and you'll be the one making the hard calls on architecture, prioritization, and tradeoffs across heterogeneous accelerator platforms. You'll pair with the team's Engineering Manager, who owns hiring and people development, while you own the technical roadmap and drive the work. You'll also partner closely with Anthropic's central Infrastructure org, where company-wide developer productivity lives, to make sure Inference's multi-accelerator reality is well served without duplicating effort. This role is for someone who has been the technical anchor on a platform or infrastructure team before, who thinks in systems and feedback loops, and who gets real satisfaction from the moment another engineer stops fighting their environment and starts shipping. Key responsibilities Set technical direction for Inference Developer Productivity, owning the architecture and roadmap for toolchains, dev environments, and CI/CD across GPU (CUDA), TPU, and Trainium platforms Be the technical owner of accelerator toolchain management: compilers, drivers, libraries, frameworks, kept current, compatible, and well-tested so Inference engineers focus on model serving instead of environment archaeology Design and build infrastructure for efficient accelerator usage during development, including devbox environments, pre- and post-land validation automation, and shared tooling that reduces the cost of working across heterogeneous hardware Define and instrument productivity metrics for the Inference org, building the dashboards and alerting that surface regressions early (smoke tests red for extended periods, build times creeping up, toolchain breakages) and drive them to resolution Proactively hunt down bottlenecks, toil, and friction across Inference engineering workflows, then design and build the systems that eliminate them Act as the technical counterpart to Anthropic's central Infrastructure org, aligning on shared developer productivity initiatives, contributing Inference-specific requirements, and making the call on build vs. adopt Mentor engineers on the team through design review, code review, and direct collaboration, raising the technical bar without owning headcount Minimum qualifications 8+ years of software engineering experience, with significant time as the technical lead or anchor on an infrastructure, platform, or developer productivity team Deep background in systems engineering, build/test infrastructure, or ML infrastructure, with the ability to go hands-on with toolchain issues, CI/CD pipelines, and developer workflow optimization Experience owning toolchains or development environments for compute-intensive workloads (ML training or inference, HPC, large-scale distributed systems) Real depth in at least one accelerator ecosystem (CUDA/GPU, TPU, or Trainium/AWS Neuron) and genuine appetite to learn the others A track record of defining and using engineering metrics to drive improvement: you've built dashboards, set SLOs on developer workflows, or led initiatives that measurably improved engineering velocity Experience driving technical alignment across organizational boundaries, advocating for your team's needs while contributing to shared infrastructure Strong written and verbal communication, and the ability to influence technical direction without formal authority Preferred qualifications Experience with ML compiler toolchains (XLA, Triton, NeuronX) or accelerator driver/firmware management at scale Background building or running shared development environments (devboxes, remote development, ephemeral environments) for hardware-dependent workflows Experience with CI/CD systems at scale, particularly for workloads involving accelerator hardware Familiarity with Kubernetes-based development and job scheduling environments Prior tech lead experience on a developer productivity or platform engineering team at a fast-growing AI/ML company 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: United States (Remote); Los Angeles, California; Seattle, Washington; San Francisco, California; Portland, Oregon Workplace: Remote ROLE SUMMARY The Senior Developer Success Engineer - West will be the frontline technical expert for our developer community. You will help users deploy and scale Temporal in cloud-native environments. You will also troubleshoot complex infrastructure issues, optimize performance, and develop automation solutions. This role is ideal for someone who thrives on solving distributed systems challenges and improving the developer experience.   WHAT YOU'LL DO - Be a keen learner: - At Temporal, you’ll work with cloud-native, highly scalable infrastructure spanning AWS, GCP, Kubernetes, and microservices. You’ll gain deep expertise in container orchestration, networking, and observability while learning from complex, real-world customer use cases. - Our stack includes Go, Python, and Java, providing continuous opportunities to hone your programming skills in infrastructure automation, resilience engineering, and performance tuning. - Be a passionate problem solver: - If you enjoy tackling scalability, reliability, and troubleshooting challenges in distributed systems, you’ll thrive in this role. - As a Senior Developer Success Engineer, you’ll work directly with developers to debug complex infrastructure issues, optimize cloud performance, and enhance reliability for Temporal users. - You'll develop observability solutions (Grafana, Prometheus), improve networking (load balancing, DNS, ingress/egress), and automate infrastructure operations (Terraform, IaC) to help customers run Temporal efficiently at scale. - Once ramped up, we expect you to independently drive technical solutions, whether debugging complex production issues or designing infrastructure best practices. Don't worry—we have seasoned engineers and mentors to support you along the way! - Be a great communicator: - As a Senior Developer Success Engineer you will engage directly with developers, engineering teams, and product teams to understand infrastructure challenges and provide solutions that enhance scalability, performance, and reliability. - Your insights will influence platform improvements, from enhancing observability tooling to developing self-service infrastructure solutions that simplify troubleshooting (e.g., building diagnostic tools similar to Twilio’s Network Test). - You’ll serve as a bridge between developers and infrastructure, ensuring that reliability, performance, and developer experience remain top priorities as Temporal scales. WHAT YOU'LL BRING - Reside within the Pacific time zone (United States) - 6+ years of experience as a developer, preferably fluent in one or more of the following languages: Python, Java, Golang, TypeScript. - Experience with deployment and managing medium to large-scale architectures (e.g., Kubernetes or Docker). - Experience with monitoring tools such as Prometheus and Grafana and troubleshooting performance and availability issues. - Minimum of one year experience in an internal or external customer-facing role. - Passion for helping others regardless of who they are or how they act. - Experience working with or as part of remote teams. - Strong written and verbal communication skills. - Seek to understand first, lead with data, and rely on facts. NICE TO HAVE - Previous experience in customer-facing positions such as a professional services consultant, solutions architect, customer engineer, etc. - Experience with security certificate management and implementation. - Ability to understand use cases and translate them into Temporal design decisions and architecture best practices. - Technologies: EKS, GKE, Kubernetes, Prometheus, Grafana, OpenTracing, Terraform/Ansible/CDK. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.