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Location: Bulgaria Company Background Our client is a travel technology company developing cloud-native, AI-powered software for airlines and hospitality brands. Its products help customers improve commercial performance, reduce costs, and evolve their digital commerce capabilities. The company’s technology is designed to work alongside existing airline systems, allowing customers to introduce new capabilities without replacing their current technology landscape. Project Description You will contribute to a large-scale greenfield travel-technology initiative supporting the launch of a new airline operation. The project uses a modern commercial platform to enable flexible retailing, pricing, and digital shopping experiences across travel products and ancillary services. Technologies GCP, AWS Wiz Cloudflare WAF, Bot Management, DNS, TLS, DDoS Protection and Rate Limiting Terraform SonarCloud and Dependabot Jira, PagerDuty and Slack Python and Bash What You'll Do Own and continuously improve cloud security posture across GCP organizations and AWS accounts, including connector coverage, runtime sensor deployment on production clusters, custom policy development, finding-triage baselines, and integrations with Jira, PagerDuty, and Slack; Operate and evolve the edge security layer, centralizing internet-facing protection through Cloudflare WAF, bot management, rate limiting, DNS/TLS, and origin routing for customer-facing production zones; Tune security rules using real production traffic, manage allow-list requests, and enable other teams to use edge-security tooling effectively; Support and automate vulnerability management and secure configuration, maintaining the intake of Wiz, SAST, penetration-test, and customer-reported findings, defining remediation baselines, and driving owners to closure; Participate in security incident response for cloud events, including DDoS and bot attacks, supply-chain alerts, credential exposure, and data-handling incidents, while creating and maintaining detection, triage, and mitigation runbooks; Help secure the software supply chain by owning SAST reporting in SonarCloud, dependency scanning with Dependabot, container base-image hardening, and the selection of SBOM and SCA tooling, and publish release-level security reports for engineering teams; Produce technical evidence for SOC 2, PCI DSS, ISO 27001, and NIS2, including evidence of log-sink configuration and retention, access reviews, authenticated scanning, and IAM remediation, and map Wiz controls to relevant frameworks to make evidence collection repeatable; Enable security self-service by training Platform, CloudOps, and Product Engineering teams on the tools they use, including Wiz and Cloudflare administration, mapping service catalogues to owners, and automating recurring customer-security and issue-triage reporting through scripting and AI-assisted workflows; Advise and partner with engineering teams on the security of new platform integrations and AI/RAG services, contributing to the annual cloud-security roadmap and target-state architecture; Job Requirements 5+ years of experience in cloud security or platform engineering with a security focus, including hands-on experience with GCP or AWS across IAM, audit logging, log routing, network security, and workload protection; Production experience with a CNAPP/CSPM platform, such as Wiz (preferably) / Prisma Cloud / Orca / Google Security Command Center, including policy authoring, integrations, and runtime protection; Hands-on administration of a WAF, CDN, and bot-management stack at scale; Strong Terraform experience, including building modules for security tooling and WAF configuration, reviewing changes, and managing configuration drift and legacy infrastructure; Experience with vulnerability management across cloud infrastructure, containers, and code, including SAST, SCA/dependency scanning, container image hardening, and penetration-test remediation tracking; Experience routing cloud security signals to a SIEM or security-monitoring platform, such as Wazuh, Microsoft Sentinel, Google Security Operations, or Datadog Security Monitoring, and integrating actionable alerts with PagerDuty and Slack; Scripting skills in Python or Bash for automation and security reporting; Security incident-response experience in a production environment, including developing runbooks and managing vendor escalations; Clear written and verbal communication skills, with the ability to train engineering teams and document security decisions; Nice To Have Experience automating security workflows, such as report generation and issue triage, with AI-assisted or LLM-based tooling; Experience working across both GCP and AWS, experience with Azure; Familiarity with Rego, OPA, or other policy-as-code languages; Experience with identity and access-management tooling, including Okta SSO/SCIM, PAM solutions, and least-privilege reviews for cloud IAM; Experience facilitating OWASP SAMM assessments, threat-modelling sessions, or security-champions programs; Airline or travel-industry experience, including PCI-scoped payment flows, partner integrations, and customer-facing security reporting; Experience supporting compliance with PCI DSS, SOC 2, ISO 27001, or NIS2; Certifications such as Google Professional Cloud Security Engineer, CCSP, or AWS Certified Security – Specialty; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Mechanical Engineering Systems & CAD Specialist - Location: Espoo, Finland - Department: Spacecraft Hardware - Reports to: Mechanical Team Lead - Employment type: Permanent - Workplace model: Hybrid / Office - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As ICEYE expands its satellite constellation and develops more advanced spacecraft, reliable engineering tools and efficient workflows are essential to meeting demanding aerospace quality standards. This role ensures mechanical design teams have the software, systems, and processes they need to develop reliable, cost-effective products and deliver missions successfully. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES - Ensure smooth, seamless and on time product delivery, from concept to qualification - Contribute to the continuous improvements of our current products - Systems & Software Administration: Install, update, license, and maintain mechanical design software, FEA/CFD simulation tools, and PLM databases - Engineering Team Support: Provide day-to-day technical assistance and troubleshooting for design engineers working with CAD and simulation software - Model & Data Management: Maintain standardized CAD library components, template files, and product structure integrity within the PLM system - Process Optimization: Assist in establishing best practices for CAD modeling standards, design release workflows, and revision control - Vendor & IT Liaison: Coordinate with software vendors for licensing/updates and collaborate with internal IT teams on system infrastructure requirements WHAT WE’RE LOOKING FOR Must haves: - Master’s or Bachelor’s degree in Mechanical Engineering, Mechanical Engineering Technology, or a related field - Experience in aerospace, automotive, or related industries - 5-10 years of practical experience in mechanical design or engineering IT/tool support - CAD/PLM Expertise: Proficiency in handling complex product assemblies with modern 3D CAD platforms and PLM environments - Ability to work cross-functionally with systems, electrical, manufacturing and IT- teams - Simulation Knowledge: Hands-on experience or proven familiarity with engineering simulation tools - Problem-Solving Ability: Strong analytical troubleshooting skills with a customer-service mindset toward supporting engineering end-users Nice to haves: - Experience on Autocad Inventor, PTC Creo or Siemens NX - Experience on PTC Arena and Altair simulation tools - Experience on CADTALK or similar integration tools - Ability to program simple macros & scripts - Ability to develop simple toolkits through API interface APPLICATION PROCESS - Talent Attraction Introduction - Hiring Manager Alignment - Task Assignment - Technical Interview - Director Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Berlin Workplace: OnSite About Peec AI Peec AI is a Berlin-based Series A startup building analytics and intelligence tools for modern SEO and growth teams. As search rapidly evolves with AI changing how people discover information online, companies need better ways to understand where they appear, how they perform, and where new growth opportunities exist. Peec AI helps teams track their visibility, measure performance, and uncover opportunities to grow their organic presence in an increasingly complex search landscape. About the role Events are one of our fastest-growing channels. This quarter alone we're running ten owned events across Berlin, London, Frankfurt and New York, alongside a full conference calendar - dinners, booths, rooftops and fireside chats, all built to put Peec in front of the people shaping how brands show up in AI search. We're looking for someone to own the execution behind all of it. Our Events Lead shapes the concept and picks the venue; you make it real - the vendors, the guest list, the room, the follow-through. What You'll Do - Once the venue is picked, negotiate with vendors, lock the contracts, and shape what people actually walk into - Fill the room with the right people: build the registration pages, run invites, RSVPs and waitlists, pull target lists from HubSpot, and make sure the names we want are on the door - Decide where Peec shows up next: talk packages and pricing with conference organisers, size up the audience behind each one, and build the case for the sponsorships we bet on - Handle the admin behind every event: budgets and invoices, exhibitor paperwork, passes, team travel - Run events on the ground: shipping, setup, booth staffing, lead capture, content collection, teardown - Close out every event: debrief completed, leads handed to sales within three working days, spend reconciled, attendance and pipeline logged, so we can tell which formats deserve bigger scale What We're Looking For - Exceptional organisation and follow-up - Comfort picking up the phone: you'll be negotiating with venues, caterers and suppliers - Calm under moving parts - you'll run several events at different stages at once, and plans change late - High ownership - you treat an event as yours, not as a task list someone handed you - Proficiency in English Bonus Points - Previous experience in event operations, hospitality, agency production or student society organising - Familiarity with Notion, HubSpot, Luma or similar tooling - An eye for detail in how a room looks and feels, not just whether it functions What we offer - Real ownership and shipped work from week one - A collaborative, high-energy in-office environment in the heart of Berlin - A front-row seat to building a brand in a brand-new market category - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a strong Deep Learning Engineer to join our Autonomy team and develop the learning-based algorithms that power dynamic locomotion and whole-body control on our humanoid robots. You will develop robust, reusable motion capabilities that enable the robot to move dynamically, maintain balance, interact with its environment, and combine locomotion with manipulation. This includes building the underlying learning-based motion primitives that can be composed into increasingly complex whole-body behaviors. You will work closely with robotics, controls, simulation, and machine learning engineers to turn learned behaviors into reliable capabilities running as part of the robot's real-time control stack.   WHAT YOU'LL DO - Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors. - Develop motion primitives using different learning based generative models. - Apply reinforcement learning, imitation learning, and other learning-based approaches to motion generation and control. - Build scalable simulation, data generation, and training pipelines using platforms such as Isaac Lab and MuJoCo. - Develop methods for robustness, adaptation, and sim-to-real transfer, including domain randomization and learning from real-world robot data. - Deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots. - Optimize policy inference and training systems for the performance and latency requirements of real-time control. - Integrate learned policies into the broader robot control and autonomy stack.   WHAT WE'RE LOOKING FOR - BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related technical field. - 3+ years of experience developing machine learning systems in industry or research. - Strong understanding of deep learning and modern policy architectures, including training, inference, experimentation, and debugging. - Hands-on experience with RL and at least one additional area such as imitation learning, generative models, sequence models, or large-scale representation learning. - Strong Python and PyTorch experience. - Experience with physics-based simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or similar platforms. - Ability to reason about learning algorithms in the context of dynamics, control, and physical systems. Nice to have: - Experience applying reinforcement learning or imitation learning to legged robots, humanoids, or other complex physical systems. - Experience with whole-body control, locomotion, motion imitation, or loco-manipulation. - Experience deploying learned policies on real robotic systems and debugging the sim-to-real gap. - Familiarity with motion capture, trajectory optimization, model-based control, or learning from demonstrations. - Experience training policies at scale across large numbers of simulated environments. - Publications at NeurIPS, ICML, ICLR, CoRL, RSS, CVPR, or equivalent contributions to impactful open-source robotics or machine learning projects.   WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Hertzelia, Israel Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. 🎯 What You’ll Do: Client Growth & Performance Own and optimize paid digital advertising campaigns. Manage campaign budgets and performance KPIs (ROAS, CPA, CTR, conversion rate). Identify revenue growth and upsell opportunities within existing accounts. Translate campaign data into clear, commercially relevant recommendations. Drive incremental revenue by proactively identifying and closing upsell and cross-sell opportunities within your portfolio. Strategic Advisory & Cross-Functional Impact Act as a trusted advisor to clients, strategically guiding clients on their digital investment. Lead performance reviews and communicate insights with clarity and confidence. Collaborate with sales, product, and operations teams to ensure seamless execution. 🛠 What You Bring to the Table: 2-3 years of experience in digital advertising, performance marketing, or client-facing account management roles. Hands-on experience managing and optimizing paid search or performance campaigns on platforms such as Pinterest, Meta, Google, Criteo. Strong analytical skills, with the ability to interpret data and translate it into clear business recommendations. Clear and confident communication skills, both written and verbal, with experience presenting to clients or stakeholders. Ability to manage multiple accounts and priorities in a structured and organized way. Experience working with analytics tools and reporting platforms; familiarity with CRM systems is a plus. Excellent communication skills in English and Hebrew. 🎯 How Success Looks: As a Client Solutions Manager at Aleph, success is about driving real results for clients and making an impact within your team. You’ll know you’re thriving when: Clients see measurable improvements in campaign performance (e.g., ROAS, CPA, revenue growth) and recognize you as a trusted digital advertising advisor. You consistently meet or exceed your revenue, retention, and performance targets while contributing to broader team objectives. You proactively identify upsell and expansion opportunities, growing existing client portfolios through data-driven recommendations. Your campaigns run efficiently, with performance optimizations applied continuously based on clear analysis and testing. You translate complex performance data into clear, commercially relevant insights that influence client decisions. You identify scalable improvements that enhance both client outcomes and internal team efficiency. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Ebene Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. What the job involves We are looking for a highly analytical and detail-oriented Data Analyst, Incentives & Commercial Reporting to join our growing team in Ebene, Mauritius. Reporting to the Manager of Incentives & Commercial Reporting, you will be the analytical backbone of our commercial performance, executing the data workflows that ensure our global sales teams are incentivized correctly and our revenue insights are flawless. At Checkout.com http://Checkout.com, "high performance is a science, not an accident." In this role, you will live in the data that proves that science. You will own the day-to-day execution of complex datasets, build and maintain crucial dashboards, and calculate the commercial compensation that drives our frontline teams. This is a role for a naturally curious problem-solver who loves digging into the numbers to find the truth and automate away friction. What you will be doing - Incentive Execution: Calculate, audit, and administer commercial compensation and bonus plans. You will dive deep into the data to ensure every payout is accurate, transparent, and delivered on time. - Data Investigation & Reporting: Maintain the commercial reporting cadence. You will extract and manipulate raw data to build an unvarnished view of business performance, helping to move the needle from estimation to predictability. #NoRoomForApproximation - Dashboarding & Tech Stack Utilization: Leverage BigQuery, Looker, and advanced Google Sheets to build and maintain the dashboards that act as our single source of truth. - Process Optimization: Identify manual bottlenecks in our current reporting workflows and help architect automated, scalable solutions. You won't just report the data; you will improve how it flows. - Workflow Automation: Design, construct, and manage automated workflow solutions to eliminate repetitive manual bottlenecks across commercial reporting and incentive management. - Strategic Support: Partner closely with your Manager and the wider Revenue Operations team to translate complex datasets into clear, actionable insights for Commercial Leaders. #OneTeam About you - Data-Driven Problem Solver: You have 2–4 years of experience in Data Analytics, Revenue/Sales Operations, Finance, or a similarly analytical role within a fast-paced environment. - Quantitative Foundation: You hold a qualification in Mathematics, Economics, Finance, or another highly quantitative degree. - Technical & Coding Chops: You possess strong programming skills (e.g., Python, SQL) and hands-on experience with advanced developer tools and AI coding assistants like Claude Code. You have practical exposure to BigQuery for data manipulation and experience building scalable visualizations in Looker. - Spreadsheet Master: Advanced proficiency in Google Sheets is non-negotiable. You are highly comfortable with complex formulas, large data sets, and financial modeling. - Detail-Obsessed Storyteller: You have a meticulous eye for detail and the ability to look at a raw dataset and pinpoint exactly where the anomalies or opportunities lie. - Adaptable & Fast-Moving: You thrive in an environment where priorities shift and you are comfortable with ambiguity. You pivot quickly to maintain momentum and deliver results. #PaceMatters - Software Engineering Mindset: You apply modern software engineering practices to data workflows—leveraging version control, modular code, and automated testing to build robust, maintainable data pipelines. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid THE ROLE AND ITS IMPACT As a Senior Software Engineer - AI, you'll lead the development of Xero's Internal AI orchestration platform - the foundation that enables teams across Xero to build and run AI agents safely and at scale. This is where technical excellence meets real-world impact. You'll define the standards and patterns that keep our Internal AI solutions aligned with strategic goals and engineering best practices, all while staying hands-on. You'll translate complex functional requirements into robust, scalable technical solutions that other teams depend on, and you'll champion emerging technologies to help advance what's possible with AI at Xero. THE TEAM AND HOW THEY CONNECT Our team builds the AI platform and shared patterns that help teams across Xero work with AI safely and at scale - from internal tools that simplify everyday work to frameworks that enable other engineers to build faster. We're a collaborative group dedicated to delivering high-quality, trustworthy software through strong engineering practices and a culture of continuous learning. You'll work closely with product owners, business analysts, designers and security teams, sharing knowledge regularly and providing constructive feedback that lifts everyone around you. THE TEAM IS CURRENTLY WORKING ON - Internal AI platform architecture and agentic frameworks that enable cross-functional teams to build agents safely - Secure agentic access patterns for data and tools across Xero - Governance, cost tracking and evaluation tooling to build confidence in AI model quality - Building the shared patterns and starter templates that help the wider engineering community ship faster with AI WHERE AND HOW YOU CAN WORK This role is based in Sydney or Melbourne, with flexibility to work hybrid. We offer regular collaboration opportunities and team boost days to strengthen working relationships across the platform and our cross-functional partners. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You've spent considerable time delivering production-grade software, with hands-on frontend experience in a modern framework like React. - You're comfortable designing, building, deploying and running APIs and backend services in containerised environments using languages like Python or TypeScript. - You bring strong experience with CI/CD pipelines, modern Git workflows and automated testing across the full software stack. - You've designed secure authentication and authorisation patterns for services—thinking through OAuth/OIDC and similar approaches. - You have practical experience building with agentic AI systems, including agent loops, tool calling and frameworks like pydantic-ai or LangGraph. - You can translate technical trade-offs into clear language for both technical and non-technical stakeholders, and you stay curious about emerging technologies. WHY XERO? At Xero, we recognise that diversity of thought drives better outcomes. We Go Together; knowing the direction and bringing the right people. Our human-first culture of respect, fairness and inclusion is what helps us thrive at work and beyond. Research shows that women and underrepresented groups are less likely to apply unless they meet every single requirement. But you could be exactly the right person for this role. We offer generous paid leave (plus statutory holidays), dedicated paid leave for physical and mental wellbeing with access to an Employee Assistance Program, health insurance and dental reimbursement with vision allowances, a healthcare spending account, fertility and family forming support, wellbeing and sports programmes, employee resource groups, 26 weeks of parental leave for primary caregivers, an Employee Share Plan, flexible working, career development, and beautiful offices with shared meals. You'll do the best work of your life here.   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Bangalore; Delhi, India; Mumbai; India - Remote Workplace: remote Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM. We are looking for a Senior Compiler Performance Engineer to own major performance areas of Falcon. This is not a compiler front end role and not a compiler built from scratch: Falcon is mature and runs in production at large enterprises. Your job is to push its generated code further, deciding which optimizations matter, designing them and delivering measurable speedups on real workloads. You will work in a distributed team of compiler experts, with direct influence on what Falcon optimizes next. What You Will Do (aka Responsibilities) Own performance of Falcon for a set of workloads or an optimization area end to end: analysis, design, implementation, validation Design and implement new optimizations and improve existing ones in the middle end and back end: inlining heuristics, loop optimizations, vectorization, escape analysis, speculation and deoptimization, GC barrier and runtime call optimization Drive code generation quality on x86_64 and AArch64, including bringing Falcon to new hardware platforms Investigate complex performance issues reported by customers and turn findings into compiler improvements Review code, mentor engineers on the team and raise the bar for performance methodology Contribute to upstream LLVM where it makes sense What You'll Bring (Experience, Skills) 5+ years of professional experience developing optimizing compilers or JIT compilers Strong C++ design and coding skills in large codebases Proven track record of delivering compiler optimizations with measurable performance impact Deep knowledge of compiler optimization theory and its practical tradeoffs: compile time, code size, correctness Strong performance analysis skills: profilers, hardware counters, reading and reasoning about generated assembly Nice to Have Significant experience with LLVM optimization passes or code generation; LLVM commit access is a plus Experience with JIT compilers for managed languages: HotSpot C2, Graal, V8, .NET RyuJIT or similar Deep knowledge of x86_64 and/or AArch64 microarchitecture Experience with JVM internals: garbage collection, deoptimization, profiling PhD in Computer Science or significant research experience in compilers

Location: Bangalore; Delhi, India; Mumbai; India - Remote Workplace: remote Falcon is the optimizing just in time (JIT) compiler in Azul Platform Prime. It compiles hot Java bytecode into highly optimized machine code and delivers Java performance that standard JVMs do not reach. Falcon is built on LLVM. We are looking for a Compiler Performance Engineer to make Falcon generate even faster code. This is not a compiler front end role and not a compiler built from scratch: the compiler exists, runs in production at large enterprises, and your job is to find where the generated code is slower than it should be and fix it in the optimizer and code generator. You will join a distributed team of compiler experts and work on real workloads with direct, measurable impact on customer performance. What You Will Do (aka Responsibilities) Analyze performance of Java benchmarks and customer workloads, find gaps in generated code and trace them to their root cause in the compiler Implement and improve optimizations in Falcon's middle end and back end: inlining, loop optimizations, vectorization, redundancy elimination, speculative optimizations and their interaction with the runtime Improve code generation for x86_64 and AArch64 Write tests and benchmarks that prove the improvement and protect it from regressions Contribute changes upstream to LLVM where it makes sense What You'll Bring (Experience, Skills) 2+ years of professional experience in compilers, JIT compilers or low level performance engineering Strong C++ design and coding skills Solid understanding of compiler optimization theory: SSA, data flow analysis, loop transformations Ability to read assembly and reason about why one instruction sequence is faster than another Very Nice to Have Experience with LLVM IR and LLVM optimization passes, or with another optimizing compiler such as HotSpot C2, Graal, GCC or V8 Experience with profilers such as perf, VTune or async profiler Knowledge of x86_64 and/or AArch64 microarchitecture Experience with Java, Scala or Kotlin, or with JVM internals MSc or PhD in Computer Science with a compiler or performance focus

Location: US: San Mateo (1875 South Grant Street); CAN: Toronto (111 Richmond Street West); CAN: Vancouver (333 Seymour St); US: Washington Remote Worker Workplace: Hybrid Team: Accounting Core Location / work arrangement: San Francisco, San Mateo, Seattle & Vancouver (Canada) Employment type: Full Time About the Role Xero’s ledger is the source of truth for millions of businesses, and every product we ship is built on top of it. We are rebuilding this integrity layer for the next 20 years, and we are standing up the Vancouver engineering hub around it from day one. As Lead Engineer, you will make the architectural decisions that set the course for the platform and the team, and you will see those decisions reach every customer who depends on Xero to get their numbers right.   THE TECHNICAL CHALLENGES - Correctness at scale. Accounting data has to be consistent, auditable, and immutable. There is no “close enough,” and every change to the ledger has to preserve that guarantee across regions and regulations. - Evolving a mature system. We are adding real-time expectations to a platform that millions of businesses depend on daily. That means strengthening service boundaries and clarifying data contracts without compromising reliability. - Durable, high-throughput services. We use durable execution (for example, Temporal) to keep long-running financial workflows accurate and recoverable under load. - AI-ready data. We are structuring accounting data so it can power AI-native experiences while maintaining trust in the numbers.   IMPACT - First six months: You understand the ledger and its consumers, align the team on service boundaries and data contracts, and ship a first modernization increment with no loss of data integrity. - First twelve months: - You have set the architecture for the core accounting capabilities (general ledger, journals, chart of accounts, multi-currency). - The Vancouver engineering team has clear ownership and quality standards, thanks in part to your leadership and role modeling. - Your work reaches customers through every product built on the ledger, and the decisions made now will shape Xero for years.   OWNERSHIP You will own the technical direction for your area of the accounting platform, from design through production and on-call. You will make architectural decisions on service boundaries, data contracts, and technology choices without needing sign-off, and you will be accountable for reliability and data integrity end to end. You will also help set hiring, quality, and ownership practices for an early and growing team, which will compound over time.   WHO YOU’LL WORK WITH Bernardo Farah is the Director of Engineering for Accounting Core. He has over 10 years of SaaS software experience, including six years building platforms and growing teams at Samsara. WHAT YOU BRING MUST-HAVE: - You set the standard for your team in AI-assisted development, operational excellence, and flexible architecture. - A track record delivering highly available, distributed backend systems and designing high-throughput services under production constraints. - Depth in system architecture, API design, and both SQL and NoSQL databases - Proficiency in a modern backend stack such as C#, Java, Go, or C++, plus cloud-native platforms like AWS. - You demonstrate strong ability in breaking down complex problems into clear, actionable solutions while driving agile execution to deliver results. NICE TO HAVE: - Experience with financial, ledger, or accounting systems, or other domains where data integrity is critical - Experience with durable execution or workflow engines such as Temporal - Experience modernizing a mature system without disrupting customers   HOW WE WORK Process is a tool for impact and we adjust accordingly. We use an agile approach to ship outcomes, not to follow ceremony. Code and design reviews are where we trade ideas and hold the quality bar, and we are figuring out how to use LLMs to reduce how much code humans have to write and review by hand. Our on-call rotation draws on a healthy pool of engineers and turns incidents into learning through postmortems. Decisions are made at every level, and we make sure everyone has the strategic context to raise proposals and drive innovation.     Our Hiring Process - Stage 1: Real World coding assessment, 45 Mins - Stage 2: Systems Design assessment, 45 Mins - Stage 3: Technical Deep dive, 60 Mins - Stage 4: Values/ Future Proof, 60 Mins - Stage 5: Leadership interview, 60 mins   Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies. Compensation Philosophy At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The base salary range for this role in $206,000 to $260,000 USD Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include: - Variable Pay: Eligibility commissions or equity based on role and performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. - Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Oakland, California, United States, AMER 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 and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly. Why This Role Is Exciting Two product portfolios just came together. Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them. Your work drives leadership decisions. You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest. You own the work end to end, from raw data to the decision it informs. You'll analyze products built for people like you. Our customers are data teams. Technologies You’ll Use SQL (BigQuery / Snowflake) dbt / dbt State Looker / LookML / Omni Hex / Sigma / Google Sheets Claude Code / Codex What You’ll Do Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention. Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy. Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track. Size the potential impact of new product initiatives and recommend how to prioritize them. Analyze product launches and experiments, and recommend what to do next. Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products. Tackle questions where product data meets broader business data, such as revenue, sales, and support. Build and maintain the data models, metrics, and dashboards behind your work. Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm. Skills We’re Looking For 5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company. Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself. Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output. Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis. A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation. Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers. Experience influencing cross-functional, distributed teams, both asynchronously and in real time. Bonus Skills ​ Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions. Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion. Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap. Experience developing and scaling a large dbt project. Python or R for analysis. #LI-DJ1 #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $156,082 — $195,102.50 USD 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: 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 Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. 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 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Director, Infrastructure Lease Accounting to lead technical accounting for our most complex infrastructure and energy arrangements — the data center leases and related structures underpinning our recently significant investment in American computing infrastructure. As we continue our rapid growth, you will ensure the financial statement accuracy of the most technically complex contracts we enter into. This is an opportunity to be at the heart of one of the fastest-scaling companies in the industry, and to shape how Anthropic accounts for the highest-stakes arrangements underpinning our compute and energy portfolio. You will serve as the technical accounting subject matter expert for arrangements spanning data center leases (ASC 842), and counterparty or joint-venture structures (ASC 810 VIE analysis). You'll work closely with Real Estate, Legal, Finance, and external auditors to ensure accounting implications are understood before commitments are made. Responsibilities Serve as the technical accounting subject matter expert for Anthropic's most complex infrastructure arrangements, leading classification, measurement, and subsequent accounting judgments Apply ASC 842 to complex lease arrangements, including lease identification, modifications, reassessments, and embedded leases within compute, colocation, and data center contracts Apply ASC 810 to counterparty and joint-venture structures, including variable interest entity (VIE) analysis for special purpose entities Apply ASC 815 to energy and infrastructure arrangements, including consideration of embedded derivatives Lead technical accounting analysis and memo preparation for new arrangements, ensuring positions are well-reasoned, supported, and auditor-ready Partner with Real Estate, Legal, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made Serve as a trusted finance partner to non-finance stakeholders — explaining the financial statement impact of their decisions in clear, simple terms they can act on Serve as a key point of contact with external auditors on technical accounting matters within your portfolio Mentor accounting professionals across the Infrastructure Accounting team on technical accounting matters Drive process improvements and automation, including leveraging AI tooling, to enhance the efficiency and accuracy of technical accounting work Minimum qualifications Have 12+ years of progressive experience in accounting, with meaningful time in a technical accounting role Hold a Bachelor's degree in Accounting or Finance; CPA required Possess strong technical accounting knowledge of ASC 842 (leases), ASC 810 (consolidation, including VIE analysis), and ASC 815 (derivatives and hedging), applied to real arrangements Have a track record of authoring and defending technical accounting memos on complex, judgment-intensive arrangements Demonstrate strong analytical abilities and comfort working with large, complex contracts and datasets Have a track record of improving scalable technical accounting processes in fast-moving environments Are adept at translating technical accounting concepts into financial implications for non-finance stakeholders Communicate clearly and influence effectively across cross-functional partners — Real Estate, Legal, Finance, and Procurement Have experience partnering with engineering, infrastructure, or operations teams to improve financial reporting and cost transparency Preferred qualifications Background in a Big 4 technical accounting practice (SEC reporting / technical consultation) combined with industry experience Experience at hyperscalers, utilities, or energy companies with meaningful PPA, REC, or commodity-arrangement exposure Experience with renewable energy contracts, carbon markets, or related clean-energy accounting frameworks Exposure to data center and compute-related infrastructure arrangements (including colocation, dark fiber IRUs, and equipment leases) Experience with lease accounting software and derivative / hedge accounting systems at scale SQL proficiency for querying and analyzing large contract and accounting datasets Knowledge of AI/ML infrastructure and associated cost structures Experience applying AI tooling (including Claude) to technical accounting research, memo drafting, or close automation Proven ability to navigate ambiguity and drive results in rapidly changing environments 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. 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: Serbia; Georgia; Armenia; Montenegro We are looking for an experienced Fullstack QA Engineer with a background in fintech, banking or other finance-related products to join our banking QA team. We build mobile banking apps on shared backend APIs. You will test both mobile apps and backend services by hand and help us build test automation for APIs and mobile apps. Our products move real money - cards, transfers, payments - so quality here matters. What You Will Do Test new features and run regression for iOS and Android apps; Test backend APIs and integrations: requests, responses, logs; Design and maintain test cases and checklists in TestRail; Build, maintain and run automated API tests with Postman and Newman in GitLab CI; Maintain and extend our existing Java / REST Assured API test framework (TestRail integration, Allure reporting), and bring it back to regular runs; Contribute to mobile UI test automation for iOS and Android — together with developers in their native test suites or with cross-platform tools — with a focus on end-to-end checks against the real backend; Prepare test data and test accounts for automated and manual runs; Help evolve our test automation approach and tooling; Clarify requirements directly with developers and product managers — we have no business analysts, so you will often find out how things should work yourself; Take part in release checks (release candidate testing, post-release smoke) and help improve QA processes; Use AI tools to speed up your work — and verify what they produce. Requirements 3+ years of experience as a QA Engineer; Experience in fintech, banking, payments or other finance-related products; Solid test design skills: you write test cases and checklists from short task descriptions; Hands-on experience testing mobile apps on both iOS and Android (TestFlight / Firebase builds); Strong API testing skills: HTTP, REST, status codes, authorization; Hands-on API test automation: comfortable reading and extending automated API tests in code (Java or Kotlin preferred) and writing simple tests by analogy - not framework architecture from scratch - plus Postman/Newman (scripts, environments, collections); experience running it in CI; Proxy tools - Charles or Proxyman: inspecting traffic, breakpoints, mocking responses; Working with logs to localise bugs; Strong communication skills and a proactive attitude: you ask questions, dig into unclear tasks and own the result; Readiness to test manually - this is not a pure automation role; Russian - native․ Nice to have Building test automation in code from scratch: framework, CI pipeline, reporting; GitLab CI: pipelines, schedules, artifacts; Basic SQL; Mobile UI test automation: Appium, Espresso/Kaspresso or XCUITest; Experience with feature flags and testing releases with partial rollout. Benefits Fully remote work; Monday-Friday schedule, approximately 10:00/11:00 to 18:00/19:00 Moscow/Cyprus time; A service agreement with a Cyprus or Kazakhstan based company; A fixed monthly salary in euros; Paid annual leave of 21 working days; Paid sick leave; Public holidays: New Year holidays through January 4-6, plus May 1-2 or May 8-9; One additional paid day off per month; The opportunity to attend conferences and take training courses at the company's expense; Challenging and engaging tasks; Training on the company's products and processes; A genuinely comfortable and professional working environment; Opportunities to grow and develop together with the company and its products.

Location: Brazil Are you passionate about helping others build sustainable fitness habits? Join us as a Virtual Physical Fitness Trainer, guiding clients through short, goal-specific fitness engagements — all from the convenience of your own space. This is a flexible, freelance role: you set your own hours, making it a great complement to an existing job or private practice. Format at a glance Engagement type: Freelance, virtual-only, 1:1 (video + in-app chat) Session length: 30 or 60 minutes Session volume: Limited credits per presenting issue (per client's employer plan); extensions require a new, distinct goal Service model: Consultation & education — not physical therapy or medical treatment; not overseen by a medical department Client relationship: Short-term and goal-focused — expect healthy client rotation, not long-term retention Why to join us As part of our community, you'll collaborate with other fitness professionals to expand access to high-quality, structured fitness coaching. You'll help clients make real, focused progress within a defined engagement — and then move on to help the next client. What you'll do Provide 1:1 virtual fitness coaching through video sessions and in-app chat, working within each client's allotted credits. Conduct a baseline assessment (PAR-Q, fitness/injury history, and GP clearance for relevant chronic conditions) before building any plan. Design personalized or templated workout programs tailored to the client's goals, fitness level, and equipment access. Educate clients on strength, cardio, flexibility, and recovery principles, and cue proper form via live video. Track progress and close out each presenting issue with a clear outcome before starting a new one. Tag each session with the single Main PI that best matches the client's focus, plus up to three Secondary PIs, per the Q3 2026 PI taxonomy (see the Holistics PI Manual). Recognize when a client's needs go beyond fitness coaching and refer to the appropriate licensed professional or Intellect service. Respond to in-app chat within the 12-hour SLA and complete session notes within 24 hours. What's in scope Personalized/templated training plans and virtual fitness assessments. Live-session coaching, form cues, and technique demonstrations. Progress tracking, goal setting, and motivation/adherence support. General education on warm-up, cool-down, recovery, sleep, and hydration. What's out of scope Diagnosing or treating any injury, illness, or chronic condition. Physical therapy, rehab protocols, or “corrective” treatment. Recommending or prescribing supplements or performance-enhancing substances. Meal plans or specific dietary prescriptions (refer to Nutrition). Counselling on disordered eating or mental health concerns (refer to Intellect's mental health professionals). Promising specific outcomes, timelines, or guaranteed results. Requirements Proven experience as a personal trainer / fitness coach (typically 5+ years of active practice). Bachelor's in Exercise Science, Kinesiology, or related field, plus a recognized certification (e.g., ACE / NASM / NCSF / NSCA / ACSM / NESTA / ISSA), current or renewal in progress. Strong communication in English and local language; able to simplify concepts for non-experts. Language: Must speak Portuguese. Comfortable working within a structured, credit-based consultation model — even if your background involved longer-term or clinical care. Clear judgment about when to refer a client out, and willingness to do so even when it means the engagement ends. Tech-savvy: video conferencing, fitness-tracking tools, comfortable documenting session notes on a platform. PLEASE ATTACH AN ENGLISH VERSION RESUME Benefits Flexible hours and remote work from anywhere. The opportunity to make a focused, meaningful impact for a steady rotation of clients. A collaborative, mission-driven community of wellbeing professionals. Freedom to innovate and bring your unique expertise to our growing platform

Что предстоит делать. Разрабатывать интерфейсы для работы с геопространственными данными (слои, маркеры, треки, полигоны, heatmap).

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Role overview We are looking for a Senior Backend Engineer to help build and evolve our new Common case-management system, which powers support-case handling across DoorDash, Wolt, and Deliveroo. You will own significant end-to-end initiatives across our backend services: case lifecycle, routing and assignment, queue management, case evidence and history, and migration from legacy systems. This is a hands-on role for someone who can turn ambiguous customer and operational problems into durable technical solutions, coordinate other engineers, and set the standard for reliability and craftsmanship on the team. What you’ll do Lead one or more project-level Case Management initiatives, on your own or by guiding a group of engineers, from discovery and design through rollout, measurement, and operational ownership. Design and build scalable backend services and APIs for case creation, routing, assignment, transfers, audit history, notes, attachments, and queue-management workflows. Help deliver feature parity with legacy platforms while safely migrating traffic across DoorDash, Wolt, and Deliveroo. Make and own most technical decisions within your scope. Write project-level design documents covering how sub-features interact, identify dependencies and risks, and break work into parallelizable delivery plans. Scope ambiguous customer and operational problems, weigh long-term against short-term trade-offs, and design durable solutions. Partner with Product, Operations, Support, Data, and other engineering teams to define the right problems. Shape the team roadmap through prototypes, data analysis, project proposals, and backlog prioritization. Run the coordination a project needs, such as status updates and dependency tracking, and escalate early to keep delivery on time. Enforce team-wide quality objectives: lead design reviews, calibrate quality metrics, and improve logging, monitoring, alerting, and escalation policies. Serve as first responder or incident commander, model good incident practice, and turn what you learn into playbooks and backlog work. Introduce and guide AI best practices for the team, including evals, data privacy, and review of AI-generated code, and take part in AI-powered projects when they are central to the product. Design reusable, self-serviceable solutions, and consider cost efficiency, including compute and AI costs, in key designs. Mentor engineers through code reviews, design guidance, tech talks, and constructive feedback. Interview candidates, join sell calls, and take part in hiring events when the team needs them. Must-have qualifications Strong backend engineering experience, including designing and operating backend services, APIs, asynchronous workflows, and data models at meaningful scale. Proficiency in at least one modern backend language, and a record of writing exemplary code for the core functionality of key components. Demonstrated ownership of complex, customer-facing or operations-critical projects from technical design through production rollout. Experience breaking projects into parallelizable work, identifying dependencies and risks, and giving accurate estimates for yourself and others. Hands-on experience using AI development tools to improve productivity, while validating generated output for correctness, security, privacy, maintainability, and reliability. Strong product judgment: the ability to turn ambiguous workflows and user needs into simple, maintainable technical solutions. Proven ability to collaborate across functions, bring the right stakeholders into decisions at the right time, and explain trade-offs clearly to technical and non-technical audiences. Strong engineering craft: testing, code review, observability, incident response, security, and operational readiness, with experience designing for reliability. Comfort working on systems with high correctness and auditability requirements, including traceability of decisions and changes. A mentoring mindset and a record of raising team-wide engineering standards. Nice-to-have qualifications Go experience. Experience with migration from legacy systems, gradual rollouts, traffic shadowing, and feature-parity programs. Experience supporting internal tools or operational user interfaces from the backend side. Experience with high-volume, multi-region, or multi-tenant systems. Experience as an incident commander or in running an on-call rotation. Experience building AI-powered features, including evaluation of model output. What success looks like Delivers a major Case Management initiative with clear technical ownership, predictable execution, and measurable customer or business impact. Improves the reliability, maintainability, and cost efficiency of the Common system while enabling safe migration from legacy case-management systems. Helps move support traffic onto the Common system without reducing case-resolution quality. Builds solutions that other engineers and operators can confidently reuse and operate. Acts as a technical leader within the team: unblocks peers and partner teams, improves engineering decisions, influences the roadmap, and strengthens cross-functional execution. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As a Senior Electrical Engineer on the Hardware team in Boston, you’ll design and develop the electrical systems that bring advanced humanoid robots to life. This is a hands-on role where you’ll work across the full spectrum of robotics electrical engineering—from electrical system designs, electromechanical integrations, PCB layouts, firmware and device programming, to hands-on debugging in the lab. Your work will span from small test systems to fully integrated prototype robots, and provide you with a unique opportunity to have a big impact. WHAT YOU’LL DO - Design Electrical Systems for Robotics: Develop electrical systems that power and control Humanoid’s advanced robots, with a focus on sensors, compute architecture, and power systems. - Conduct Circuit Analysis and Debugging: Use strong circuit analysis fundamentals to review electrical designs, conduct failure analysis, and troubleshoot complex electrical systems. - PCB Design and Schematic Capture: Create detailed schematics and PCB layouts using Altium, ensuring the designs meet the performance, reliability, and manufacturability standards required for robotics. - Develop Embedded Firmware: Write firmware in C and HDL to program microcontrollers, DSPs, and FPGAs, testing and refining embedded designs to ensure optimal performance. - Leverage Linux for Robotics: Utilize your knowledge of command-line Linux to configure networks, run software, and interface with robots for testing and validation. - Hands-On Lab Work: Use a variety of lab equipment, including oscilloscopes, DMMs, power supplies, programmable loads, and spectrum analyzers, to validate designs and solve complex electrical engineering challenges. - Collaborate Across Teams: Work closely with mechanical engineers, software developers, and other team members to integrate electrical systems with robotics hardware, ensuring seamless operation and performance. WHAT WE'RE LOOKING FOR - Experience with high-speed data technologies such as PCIE, Ethernet, EtherCAT and/or other communication protocols in PCB-based devices and systems. - Experience developing power regulation and distribution systems, including particular expertise with short-circuit protection systems, switching power supplies, and creative power management technologies. - Proficiency with PCB design tools (e.g., Altium) for schematic capture and layout. - Familiarity with embedded programming, including C, HDL, and other relevant languages for microcontrollers, DSPs, and FPGAs. - Working knowledge of circuit simulation, analysis, and debugging techniques, including the use of oscilloscopes, power supplies, and spectrum analyzers. - Experience with Python, C++, LabView, or MATLAB for automation and testing. - Knowledge of SolidWorks or similar mechanical CAD tools. - Familiarity with Verilog or VHDL for hardware design and simulation. - Experience in building Linux kernels and modifying or writing device drivers. Please note: few people will check every single box. If you’ve got solid electrical engineering fundamentals and strengths in some of these areas, we’d love to hear from you! WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Generous time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with a 4% employer match. - Meaningful equity with upside as we scale - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $160K–$215K USD per year; your placement in that range depends on how your experience maps to our internal leveling.