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Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data-driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset, enabling us to solve complex challenges. Our culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. Your future role within QRT: Design and build high-performance, reliable software systems and reusable components. Take ownership of technical design and implementation, contributing to architectural decisions and evolving existing systems. Solve challenging engineering problems involving concurrency, performance, and system reliability. Investigate and troubleshoot complex issues to improve system robustness and efficiency. Contribute to code reviews, automated testing and engineering best practices. Collaborate with researchers and engineering teams to understand requirements and deliver effective technical solutions. Your present skillset: Excellent computer science fundamentals, particularly algorithms, data structures and system design. Strong proficiency in at least one programming language such as Python , Rust, C++, Go or Java. Hands-on experience designing and building software systems, with a strong sense of ownership. Good understanding of multithreading, asynchronous I/O, memory management and performance optimization. Experience developing reliable, production-grade software, with strong debugging and testing practices. Comfortable working in Linux environments. Curious, proactive and comfortable tackling complex technical challenges. Excellent communication skills and ability to collaborate effectively across teams. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programs to help employees maintain a healthy work-life balance.

• Design the core systems of the game, with input from the game director: production chains, resources, logistics, progression and economy. • Take high-level mechanics and break them down, step by step, into something the team can build.

Чем предстоит заниматься: Разработка сервисов, отвечающих за сбор прикладных метрик и диагностирующих сбои;

Location: New York, NY; San Francisco, CA Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. About the Role We are seeking a strategic leader who pairs deep systems expertise with strong process design instincts to build and own Flex's Financial Systems & Transformation function from the ground up. This is a rare opportunity to define a new pillar within the Finance organization at a fast-scaling fintech — one where the scope extends well beyond traditional ERP administration into agentic AI infrastructure, process automation, and the controls architecture that will underpin Flex’s next phase of growth. As Director, Financial Systems & Transformation, you will own the internal financial systems that power Flex’s accounting and financial reporting function — including our core ERP, procure-to-pay (P2P), T&E systems, and additional financial reporting tooling as the function matures. You will also design, build, and maintain the AI-powered workflows that are central to Flex’s vision for a modern, scalable Finance function, and you will lead the build-out of ITGC and financial systems controls that keep pace with the business as it scales. This role sits at the intersection of finance, systems, and AI — and requires a leader who can operate with fluency across all three. You will partner closely with the VP Controller, the broader Finance leadership team, and Flex’s Engineering and AI Central teams to make the vision real. This position will be based in our New York headquarters on a hybrid basis and will report to the VP Controller. What You'll Do Financial Systems Ownership & Administration Own our ERP (Campfire) as Flex’s financial system of record — including configuration, close module setup, chart of accounts and dimension/segment governance, and ongoing system health Own our procure-to-pay (P2P) systems for AP and T&E — evaluating near-term enhancements and long-term tooling strategy as we scale Manage integrations between core financial systems and the upstream/downstream data sources that feed them — including the payroll (Rippling) integration in partnership with the People/HRIS systems team — ensuring accurate, timely, and auditable data flows across the Finance stack Serve as the internal product owner for financial systems enhancements — translating Finance team requirements into system configuration and working with vendors and technical teams where needed Partner with the Strategic Finance team on the evaluation, implementation, and ongoing administration of FP&A tooling, supporting both the Finance and business planning functions Evaluate, implement, and administer additional tooling across Finance as the function scales — including financial reporting, SOX, and account reconciliations Agentic AI Infrastructure Design, build, and maintain AI-powered workflows that eliminate manual, high-volume processes across the Finance function — with a particular focus on transaction coding, close automation, and financial reporting Own the technical architecture for agent-as-preparer workflows: defining confidence thresholds and exception routing, and building the audit trail infrastructure required in a controls-conscious environment Partner with Flex’s AI Central team to extend our internal AI platform into Finance use cases — including inquiry triage, routing, and other templatable workflows Proactively identify and prioritize new automation opportunities across the Accounting & Finance function; own the agentic build roadmap in partnership with Finance leadership Establish and maintain operational health monitoring for all automated workflows — exception rates, throughput metrics, and escalation paths ITGC, Access Controls & Controls Readiness Own IT General Controls (ITGCs) across all financial systems — user access provisioning and deprovisioning, segregation of duties (SOD) enforcement, change management controls, and periodic access reviews Design and maintain the control framework and access architecture for automated/agentic workflows — including permissioning, auditability, and documentation standards for a future SOX-ready environment Build out Flex’s broader controls readiness over time — ITGC documentation, control testing support, and GRC tool implementation as the company scales Serve as the primary liaison between the Finance function and external auditors on technology-related matters, including audit trail standards and controls evidence for automated workflows Close Automation & Process Optimization Build and maintain real-time close monitoring: dashboards and alerts that give Finance leadership live visibility into close status, open items, and risk flags Partner with the VP Controller to systematically accelerate the month-end close cycle — identifying and removing structural bottlenecks through better tooling, automation, and process design Support the build-out of automated financial reporting infrastructure — enabling reliable, timely reporting across P&L, balance sheet, cash flow, and operational metrics with minimal manual intervention Drive P2P process optimization and efficiency — implementing system-based workflows, reducing processing and cycle time, and continuously improving the AP and T&E experience across Finance and the broader company Team & Stakeholder Leadership Build out and shape the Financial Systems & Transformation function over time — defining scope, identifying capability gaps, and bringing in talent as the function evolves Serve as the Finance function’s primary technical voice in cross-functional forums — partnering with Engineering, Product, Data, and AI Central on decisions that affect financial data, systems, and processes Champion AI and systems adoption across the Finance team — providing training, tooling guidance, and hands-on support to help Finance professionals get the most out of available tools What We're Looking For Required 10+ years of experience in financial systems, accounting technology, or a closely related field — with meaningful time spent in a high-growth or scaling environment Deep ERP expertise — ideally including implementation experience (go-live, integration design, configuration, and post-live optimization) with platforms such as NetSuite, Campfire, Sage Intacct, or equivalent Strong finance and accounting foundation — sufficient understanding of US GAAP, month-end close processes, and financial reporting to both translate business requirements into systems design and identify where process redesign itself is the better answer, without losing fidelity Demonstrated experience building or owning IT General Controls and access control frameworks — SOD enforcement, user provisioning, change management, and audit-trail documentation Strong grasp of financial master data design and governance — chart of accounts structure, dimension/segment design, and the data architecture decisions that determine downstream reporting flexibility Demonstrated ability to design or re-engineer core accounting processes (close, AP, payroll, or similar) around best practices — not just automate existing process but rethink it Experience working directly with external auditors (Big 4 preferred) on IT controls testing and audit evidence standards Hands-on experience with API integrations and data pipeline design — comfort working with Engineering teams to scope and spec integration work Genuine enthusiasm for AI and automation — you think naturally about where agent-based workflows can replace manual processes, and you’re excited to build them Exceptional communication skills — ability to translate between finance, engineering, and executive audiences without oversimplifying or losing technical precision Comfort building and scaling in a fast-paced, resource-constrained environment — this is very much a “build the plane while flying it” role, and success will depend on strong prioritization instincts and the ability to move quickly as priorities shift Strongly Preferred Experience with Campfire or another AI-native ERP platform — distinct from legacy systems, these environments call for a different way of thinking about configuration and workflow design Experience designing or operating AI-automated workflows in a finance or accounting context — intelligent document processing, transaction coding automation, or similar SOX compliance experience, including ITGC documentation, RCM design, and internal or external audit support — ideally in a pre-IPO or newly public company Experience with close management platforms (FloQast, BlackLine, or equivalent) and financial reporting automation tooling Prior experience at a fintech, payments company, or similarly regulated financial services environment CPA or equivalent credential is a plus, not a requirement Formal project management experience or training — this role requires running complex, cross-functional projects to completion, not just providing technical and functional expertise Experience leading close process optimization or standardization initiatives, ideally reducing close timelines or manual touch-points Familiarity with payroll and AP operational best practices — vendor management, payment controls, exception handling — beyond the systems that support them Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) and Tier 3 (Salt Lake City) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $180,000 — $225,000 USD Tier 3 (Salt Lake City) $150,000 — $190,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

-Проектировать целевую архитектуру системы (модули и компоненты).

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role You will design, build and own the production systems behind Xero’s AI features: the services, pipelines and infrastructure that power LLM-driven and agentic experiences for millions of small businesses every day. This is a software engineering role. You’ll build and operate systems rather than train or tune models, and your architecture decisions will directly shape scale, cost, reliability and how fast our teams ship. You don’t need a machine learning background. We’re looking for strong production engineers, ideally with experience building LLM or agentic systems, and ML depth can be learned on the team. Beyond architecture, you’ll lift engineering capability across AI Products by setting standards, mentoring engineers and partnering across Xero to make data usable and systems dependable.   The team You’ll join AI Products, a diverse, globally distributed team of scientists, engineers, product managers and analysts within our broader Data & AI business. Engineers here partner closely with Applied Scientists early on to build the interfaces and harnesses that take models into production. They then own the engineering and infrastructure of every ML and AI system shipped into production, from reliability and cost to scale. Together, this collaborative team reduces toil and delivers reliable, intelligent experiences for small businesses. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work.   Where and how you can work Xero offers a flexible hybrid working model designed to blend the collaboration of office life with the autonomy of remote work. You will have access to our modern office spaces, with expectations around office days and collaborative 'boost days' aligned to help your team connect and ship great code effectively. Here are some of the things we are looking for - A track record of designing, shipping and operating production-grade backend systems at scale - Experience building and operating production systems for LLM or agentic workloads (orchestration, tool use, evaluation, guardrails, latency and cost management) - Strong system design fundamentals and excellent coding in Python, or another language suited to web-scale services (Go, Java, Kotlin, TypeScript) - Experience with APIs and service design, cloud infrastructure (ideally AWS), CI/CD and observability, with a focus on latency, cost, reliability and SLOs - Experience running services in production, including on-call and incident response - Solid SQL and experience with large-scale data processing - Excellent communication, with the ability to explain complex technical concepts to business and technical audiences - A coaching mindset and the ability to set engineering standards and mentor other engineers Nice to have - Experience operationalizing ML or LLM workloads (inference serving, evaluation pipelines) - Familiarity with MLflow, PyTorch or TensorFlow, and data orchestration tools - Distributed processing experience (Spark, Dask)   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: Romania; Croatia; Serbia; Bulgaria; South Africa Own AI and systems for a scaling CPA firm. Automate workflows, integrate APIs, build real AI capacity gains. $3,500-4,000 USD/month | Full-time | Overlap to 2pm ET Craig Cody & Company is a US-based CPA firm headquartered in New York, working with a large base of agency clients. We support over 70 agency clients, many of them connected to AMI (Agency Management Institute), on their accounting and tax work. The firm is almost entirely remote with around 30 people: CPAs across the US in the Carolinas, Texas, California and Washington State, a small admin and bookkeeping team in the Philippines, and team members in the UK. Hiring remotely and internationally is something we are already very comfortable with. Compared to most small CPA firms, we lean heavily into technology. The attitude here is simple: let's spend the money, let's get the tech, let's use it. We are not a hierarchy, we are pretty flat, and we are nice people, so no one is snapping at anybody. Core IT is handled by an MSP provider we have worked with for around 15 years. We're looking for an AI & Systems Specialist to help the firm take advantage of AI and better integrate the systems we already use, so we can increase capacity and efficiency across the business. You will become the internal go-to owner of the firm's systems, working alongside our long-standing MSP provider to implement and evolve an AI strategy, likely built around a locally hosted AI model. Here is what you will be doing: 🔗 Tie together our core systems (Karbon practice management, QuickBooks Online, HubSpot and CCH Axcess tax software) using APIs where available. 🤖 Implement AI into existing processes, for example drafting account-manager email replies by pulling from recorded client calls, email threads, notes and Karbon data. ⚙️ Automate recurring workflows, such as pulling data out of QuickBooks Online for tasks done for every client. 📄 Support AI-assisted first-pass review of tax returns, for example working with XML output from CCH Axcess rather than 100-plus page PDFs. 🖥️ Stand up and manage AI infrastructure flexibly, including local AI (a Mac Studio is on order) and cloud environments such as AWS, depending on data sensitivity. 🛠️ Interact with our existing MSP provider (2 to 3 people) on IT matters. 💬 Sit down with team members, such as our HR and Admin lead, to understand their processes and identify where AI and automation can help. This is a full-time role. You will need to overlap with US hours, working until around 2pm US Eastern. Requirements To be successful in this role, you need: ✅ Strong experience integrating SaaS systems via APIs and building automations. ✅ Hands-on AI implementation experience, using the right model or tool for the job (local versus cloud, sensitive versus non-sensitive data). You don't need to be a hardcore developer: building with AI and low-code tools is fine, as long as you understand the technology well enough to judge the right approach. ✅ Solid working knowledge of local AI setups and cloud environments, with proficiency in AWS. ✅ Excellent spoken and written English, and the ability to explain things in plain terms and train non-technical team members. You will translate business problems into technical solutions. ✅ To be willing and able to overlap with US hours, up to around 2pm US Eastern. ✅ Your own laptop and a reliable high-speed internet connection. Brownie points for: ⭐ Experience or interest in the accounting and finance world (interest matters more to us than direct experience). ⭐ Familiarity with any of our core tools: Karbon, QuickBooks Online, HubSpot, CCH Axcess. You will fit in well here if you are a self-starter who doesn’t need hand-holding. You bring us ideas, we approve them, and you run with them. When we suggest doing something one way and there’s a better way, you tell us why. Some of what we want may not be technically possible yet, and we’d rather hear that early. You build trust with non-technical colleagues rather than being seen as just the techy person. We are looking for someone who is long-term minded and excited to grow with a fast-moving firm at the forefront of AI in accounting. Benefits What’s in it for you? 💰 $3,500 to $4,000 USD per month.* 📄 Full-time independent contractor position. 🌍 Fully remote, with flexibility on location as long as you overlap with US Eastern hours until around 2pm ET. 🏖️ 2 weeks of paid vacation. 🤒 5 sick days. 🎄 Christmas week and July 4th week off with pay. 📅 5 local holidays. *Please note that this is a gross salary and that you are responsible for any tax-related procedures in your country of residence. We kindly ask you to apply only if you are happy to work remotely as an independent contractor. This is our typical hiring process - occasionally, it may include extra steps. For this role, JobRack is partnering with the company to find their next hire. We’ll handle all the screening and testing, so they see only the best-fit candidates - like you! 🔍 How to shine • Read the role details carefully. • Submit a thoughtful, high-quality application. • Stay responsive - we’ll keep you updated at every stage. ✨ Important notes • Apply only through JobRack; please don’t contact the company directly. • We expect a respectful hiring experience - any disrespect means instant disqualification. • This is a full-time, primary role (no freelancing or second jobs). ❓ New to remote work? Check out our handy FAQ: jobrack.eu/jobseeker-faq

Location: Valletta, Malta We currently have a vacancy for a System & Network Engineer fluent in English, to offer his/her services as an expert who will be based in Malta. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site and off site. Your tasks Design, implement, operate, and troubleshoot enterprise network and network security infrastructure across LAN/WAN environments; Implement and support routing, switching, firewalling, VPN, and network segmentation solutions; Configure and support Application Delivery Controller (ADC), load balancing, and Web Application Firewall (WAF) solutions; Participate in infrastructure projects, network upgrades, migrations, and deployment of new technologies; Maintain network documentation and support operational, security, and change management processes. Requirements Bachelor Degree in IT combined with 6 years of relevant working experience in mission-critical, high-availability and security sensitive environments; Hands-on experience in deploying and hardening on-premises infrastructure (HCI, VMware, RHEL/Windows Server, Docker/Kubernetes); Experience with enterprise networking (VLAN segmentation, firewalls, load balancers), hybrid cloud platforms (Microsoft Azure / Azure Key Vault / VNets); Experience wirh operational security (Veeam backup/DR, SIEM logging); Experience in supporting PKI / network-attached HSM integrations; Excellent command of the English language; Good command of Maltese. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference (SE/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. EUROPEAN DYNAMICS (ED) () is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 600 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion. EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in . By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy. Furthermore, when providing your data, it is up to you to explicitly consent that your data can be assessed for future job openings, for as long as you do not withdraw such consent. If you do not consent, we will not be able to consider the data you provide to us for future job openings.

Lightmatter is looking for a Hardware Systems Technical Lead to lead the development, integration, validation, and production delivery of photonic AI hardware systems.

GrayMatter Robotics is looking for a Robotics Engineering Intern Systems and Applications to design, test, and support robotic grinding systems and customer proof of concepts.

— Автоматизация инфраструктуры, CI-пайплайны; — Миграция между ДЦ, запуск новых проектов;

Location: United Kingdom; Belgium; Poland; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. THE ROLE ElevenLabs runs a deliberately lean finance team across 10+ legal entities and 40+ countries. The stack is built around NetSuite, Stripe, Ramp, Deel, HiBob and Pigment, with a BigQuery/dbt warehouse underneath. We want a close where people review exceptions and agents handle the rest. You'll own that stack, from architecture and integrations to controls and vendors. This is a builder role, not a ticket queue. - Run NetSuite end to end. That covers multi-subsidiary setup, chart of accounts and segments, scripting and workflows, release management, and roles and segregation of duties as we build toward public-company controls. - Own the integration layer: Stripe, Ramp, Deel and HiBob into NetSuite, and NetSuite into the warehouse. Month-end should reconcile by design instead of by hand. - Lead selection and rollout of new systems, including usage-based billing and equity administration. You'll also handle the finance setup of every new entity. - Build with AI, alongside our Automations and Data teams. Examples include agents and automations for invoice coding, people-cost reconciliations and accounting requests. - Be the systems voice in finance decisions on new pricing models, new geographies and audit readiness. REQUIREMENTS - You've administered a multi-entity NetSuite OneWorld instance yourself, including SuiteScript/SuiteQL, saved searches, roles and releases. - You've owned an ERP or billing implementation or migration end to end, and you know how Stripe data flows into the ERP and into revenue recognition. - You build integrations, through iPaaS or code, that reconcile and alert when something breaks, and you're comfortable in SQL. - You understand R2R, P2P and O2C and the controls behind them, and you can work with accountants, engineers and auditors in the same week. - You work AI-first: tools like Claude Code or Cursor are part of your day, and you automate a workflow before you staff it. - Bonus: experience with Ramp, Pigment, Metronome or another usage-billing platform, Deel/HiBob, or n8n, or dbt/BigQuery; SOX or ITGC work at a pre-IPO or public company. GROWTH POTENTIAL We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Lead a Finance Systems & Automation team as the company scales. LOCATION This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in CET timezones required. If you prefer, you can work from our offices in Warsaw and London. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Software Engineer to join the Business Systems team. In this role, you will play a crucial role in architecting, developing, and optimizing the backend infrastructure and user experiences that underpin WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll design, build and evolve critical services and integrations that support Supply & Demand Planning, Inventory Management, Order Management, Fulfillment & Logistics, Membership Services, and other business functions. This role is designed for a visionary backend engineer who is passionate about building scalable, reliable, and flexible systems, eager to tackle high-impact challenges, and committed to delivering user-centric solutions that pave the way for our growth. RESPONSIBILITIES: - Set technical direction for critical domains within the Business Systems team, establishing an architecture and roadmap that balances immediate business priorities with long-term reliability, flexibility, and scale. - Architect, develop, and maintain backend services, APIs, integrations, and internal tools that connect business platforms, reduce manual work, and improve the accuracy and flow of data across systems. - Design and implement well-loved user experiences to interact with backend systems. - Partner with stakeholders across all of the teams mentioned above to understand critical workflows, identify opportunities for needle-moving improvement, and translate them into technical solutions. - Lead engineering efforts for complex technical initiatives from discovery through production rollout, coordinating dependencies across teams and vendors and measuring outcomes through operational efficiency, reliability, and user adoption. - Strengthen the security and resilience of business-critical systems through automated testing, observability, appropriate access controls, and improvements informed by production incidents. - Mentor engineers and elevate technical decision-making through hands-on development, thoughtful design and code reviews, and clear documentation that builds shared understanding and ownership. - Independently drive your agenda forward; this is a highly cross-functional role that needs broad trust and alignment in order to thrive. You must be skilled in driving this independently while also being able to move quickly. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 8+ years of professional backend software engineering experience. - Experience delivering and operating production software for complex business workflows, with demonstrated technical leadership across multiple systems or teams. - Ability to evaluate architectural tradeoffs across custom software and third-party platforms, considering business value, security, reliability, and ongoing maintenance. - Deep expertise in designing APIs, working with relational databases, and integrating enterprise applications or cloud services, including managing data consistency, retries, and failure recovery. - Strong software engineering fundamentals and proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., with a track record of writing maintainable, well-tested code. - Demonstrated ability to interface with multiple product domains, particularly in developing backend solutions for resilient, high-throughput data processing networks, task automation, and streamlined workflows to optimize business operations - Deep experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - A strategic problem-solver with the ability to turn ambiguous business needs into practical technical plans and communicate decisions clearly to both technical and nontechnical stakeholders. - A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment - Experience mentoring engineers and influencing cross-functional partners through collaboration, sound technical judgment, and a focus on shared outcomes. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

As a Distributed Systems Engineer at Ritual, you'll be instrumental in building and scaling our heterogeneous blockchain infrastructure. Design and implement distributed systems components for Ritual's heterogeneous compute network.

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 go-to-market teams are scaling quickly, and the decisions they make, from who to sell to and how to cover them to where to invest next, are only as good as the intelligence and infrastructure underneath them. As a Data Engineer on the GTM Systems data foundations team, you'll help build that layer: the data products that give sellers, operators, and analysts a rich, current, and trusted picture of the market, and the engineering rigor that lets our GTM systems run reliably as the business grows. This is an engineering role that goes beyond pipelines. You'll treat GTM data as a product and a platform: built once, kept current, and available wherever people work. Alongside the build, you'll help shape what the data means: how attributes are defined, which sources are trusted, and how the business puts them to use. The role sits at the intersection of the sales organization, the data organization, and the systems that data flows through. You'll partner closely with Sales Strategy and Operations, Finance, Data Science, and the central data engineering team. Key responsibilities Bring disparate internal and external sources together: orchestrate, model, and normalize first-party product and revenue data alongside third-party data into one usable understanding of the company landscape Build and maintain identity and entity resolution, so every source attaches to one trusted record for each company and the relationships between companies are clear Help build the canonical layer where key attributes are defined once and mean the same thing everywhere, with clear sourcing logic, provenance, and freshness Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams prioritize and act, held to the same quality bar as any other source Deliver that intelligence to the surfaces where teams work, including the CRM, and bring production discipline to how data moves through those systems Operate what you build as a living system, with observability, data quality, cost, security, and access controls designed in, so problems surface before the field sees them Partner with the owners of GTM processes such as planning, segmentation, and routing to settle definitions, make clear commitments, and communicate tradeoffs Make the platform easy for other teams to build on, so work is contributed once and not rebuilt in silos Minimum qualifications Experience as a data engineer or analytics engineer building and operating production pipelines and data models Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse Experience making messy data from many sources usable, including record matching, deduplication, and reconciling conflicting values Familiarity with go-to-market data and the CRM systems it flows through Judgment beyond the pipeline: weighing data sources, shaping definitions with business partners, and making calls on data quality Clear written and verbal communication with technical and non-technical partners Regular hands-on use of AI tools in your engineering work Preferred qualifications 5+ years of experience in data engineering, analytics engineering, or GTM data roles Experience building a shared data product or platform that several teams depend on and contribute to Experience with company data such as firmographics, corporate hierarchies, or master data management Experience using LLMs inside data pipelines and evaluating their output Hands-on Salesforce experience, including working at large data volumes Experience supporting GTM planning processes such as territory design, segmentation, or scoring 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: $270,000 — $345,000 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life.   WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design, build, and maintain internal tools and integrations that power our business operations. You’ll work cross-functionally with teams across WHOOP to ensure that our systems are scalable, reliable, and efficient, directly impacting how we serve members and scale the business.   RESPONSIBILITIES: - Develop, test, and deploy scalable software solutions that support internal operations, including integrations between business applications and services - Partner with stakeholders across Finance, Operations (Supply Chain, Manufacturing, Quality, Logistics), Membership Services, and other teams to gather requirements and translate them into technical solutions - Interface with critical business systems: NetSuite, Salesforce, Stripe, Boomi, and more, ensuring reliability, performance, and security - Contribute to the design and implementation of APIs, data pipelines, and automation to improve business efficiency - Collaborate with other engineers to share knowledge, establish best practices, and improve engineering processes - Work collaboratively in a high growth environment with a product minded approach - Consistently deliver features and code with an iterative approach - Coach and up-level engineers in your team and neighboring teams through direct and indirect mentorship QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience - 2–4 years of professional software development experience - Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript/TypeScript) - Experience in API design, integrations, or middleware in a business systems environment - Experience in relational database design, data modeling, and query optimization - Strong problem-solving skills and ability to translate business needs into technical solutions - Experience developing large scale, production-quality web applications  - Thrives with autonomy, with a positive attitude and ownership mentality - Excellent communication and collaboration skills, with an eagerness to work cross-functionally - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Finance Systems Analyst focused on integrations and automation, you’ll support the Finance Systems team in building, maintaining, and testing Application Programming Interface (API) integrations across core financial applications. You’ll work closely with senior Finance Systems team members to keep financial platforms communicating reliably, ensure automations run as expected, and document integration testing thoroughly in this hands-on, technically oriented role at the intersection of finance operations and systems engineering. By improving the reliability of financial data flows, you’ll contribute to 1Password’s mission of making it safer to use technology every day. How we’re using AI today On the Finance team, we’re using AI to drive productivity, scale insight, and deliver better decision-making across 1Password. AI helps us move faster and sharpen our thinking, from summarizing context and pressure-testing assumptions to turning complex inputs into clear executive-level narratives. We bring AI into our work thoughtfully, improving repeatable workflows while staying accountable for the accuracy, confidentiality, and controls behind every output, creating space to focus on judgement, strategic partnership, and meaningful business outcomes. This is a remote opportunity within Canada and the US. What we're looking for: • Build a foundation in technical work involving Application Programming Interfaces (APIs), integrations, automation, or related systems. • Work with Representational State Transfer (REST) APIs and JavaScript Object Notation (JSON) data. • Write or adapt scripts in Python, JavaScript, or another programming language, and apply sound technical logic across different tools and platforms. • Create and execute test cases for integrations and automated workflows, including edge cases, error handling, and retry logic. • Learn unfamiliar systems and technologies independently, using research and available tools to solve problems effectively. • Communicate clearly with technical and non-technical partners to understand requirements and explain solutions. • Document integrations, test results, and workflows clearly; experience with financial systems, NetSuite, Workato, Postman, or similar tools is helpful. What you can expect: • Support the design, development, maintenance, and release of integrations across financial applications such as NetSuite, Salesforce, Zip, Ramp, UKG, Workato, and Stripe. • Write and maintain scripts that automate data flows, transformations, and system-to-system synchronization. • Build and refine Workato recipes and integration workflows using APIs, JSON payloads, and webhooks. • Assist with SuiteScript customizations within NetSuite and develop small utilities that reduce manual work. • Design and run integration tests, validate data accuracy from end to end, and document results and follow-up actions. • Troubleshoot integration failures and data discrepancies across connected systems. • Collaborate with finance, accounting, procurement, data, legal, and other partner teams to understand needs, clarify requirements, and deliver reliable solutions. USA-based roles only: The annual base salary for this role is between $83,000 USD and $116,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $78,000 CAD and $109,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote-Friendly (Travel Required) | 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 Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. You'll be the engineer who owns autonomous systems across that footprint as one security domain, from both sides: drones, ground robots and automated vehicles for patrol, inspection and moving hardware, including the security of that automation inside secure areas, and the detection systems that tell us what is flying over or operating near a site uninvited. You set the approach, select and integrate the platforms and sensors, write the requirements vendors build to, and run what you ship, from the operating model where operators assign missions and machines carry them out to the playbook that turns a detection into an identified track and a well-evidenced handoff to whoever holds authority over the airspace. Interdiction is not part of this role. The goal is security that runs itself: coverage, fleet health and evidence verified continuously, with tools and AI agents doing the routine triage. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including its physical security systems engineers and the engineers on its security monitoring platform, with Anthropic's data center operations and legal teams, and directly with site operators, equipment vendors and aviation and public safety authorities. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities Autonomous security and inspection systems: own the drones, ground robots and other autonomous platforms for perimeter patrol, incident response and infrastructure inspection: platform selection, operating model, operator qualification, maintenance, and the data path from machine to analyst Tools, automation and AI agents: build the integrations that carry detections, tracks, telemetry and fleet health into the team's security monitoring platform, and the tools and agents that triage detections, check fleet health and assemble evidence. When a review keeps costing people time, you build the tool or agent that retires it Detection of uncrewed systems: engineer the sensing that tells us what is flying over or operating near a site, what it is and who needs to know: sensor selection and evaluation against live targets, per-site coverage, classification and false-alarm handling, and the playbook from first detection to handoff, with evidence retained Security of site automation: engineer the controls on automated vehicles, robots and similar machines that move hardware or work inside secure areas: identity and access, network isolation, what they may record and where it goes, fail-secure behavior, their place in chain of custody, and acceptance before they enter a site Regulatory and site constraints: establish what we may sense, fly, drive, record and retain at each site, partner-operated sites included, under the aviation, spectrum, privacy and safety rules that apply there, with the waivers and approvals that extend it and coordination with local authorities set up before it is needed Health monitoring: define and test heartbeats, loss-of-coverage and lost-link alarms and fail-secure behavior, so a silent sensor or machine shows as a fault, not a quiet day Vendor requirements and acceptance: write the requirements, evaluate against live flights and runs, and hold vendors to what they ship Minimum qualifications Have engineered autonomous or sensing systems in the field (drones, ground robots, automated vehicles, or RF, radar or optical detection sensors): selected, integrated or secured them for an operation other people relied on, and verified what they actually do against real targets or runs rather than a datasheet Have integrated systems you did not build (vendor APIs, SDKs, appliances, machine and sensor telemetry) into a platform that outlives any one of them Read and review code, design the data systems behind security tooling, and build automation (often with AI coding agents) using Git and code review Have done this work hands-on for data centers, critical infrastructure or a large hardware fleet Have designed inside a regulatory or safety constraint (aviation, spectrum, privacy, machine safety or similar) and can show the decision it drove Own a domain end to end: set the approach, carry it through with vendors, site operators, partners and authorities, and run it as something people depend on every day Preferred qualifications Remote pilot certification (for example FAA Part 107) and experience flying beyond visual line of sight under a waiver or exemption Experience with counter-drone (counter-UAS) detection, airspace surveillance or air traffic data systems Experience running a robot, drone or automated-vehicle fleet in an industrial, logistics or data center setting: fleet management, mission planning, safety cases Experience securing embedded, operational technology or robotic systems: device identity, network segmentation, update control, logging Experience with physical security operations at large sites, with law enforcement or aviation authorities, or at sites you did not fully control: cloud, colocation or GPU cloud operators Have built AI agents or automation that replaced recurring manual work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.