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Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE At Halter, we’re changing the way the world farms - and with that comes a great deal of responsibility to the producers worldwide who trust us with their animals. Our hardware fleet operates across farms and ranches globally, and as we scale, we need better systems, better tooling, and smarter workflows to support our farmers faster and more reliably. We’re looking for a highly motivated Intermediate Field Operations Engineer to join our Field Operations team. This role is ideal for someone with a computer science or software-oriented background who enjoys solving real-world problems, building internal tools, and improving how teams operate at scale. This role sits at the intersection of hardware operations, customer impact, and engineering. You will spend part of your time running the day-to-day work, such as monitoring fleet performance, triaging issues, working tickets, and coordinating resolution. The other part of your time will be dedicated to designing and building internal tooling, dashboards, automations, and process improvements that make the Field Operations team more effective and allow us to scale globally. You will collaborate closely with Field Engineers, Product, Deployment, Customer Experience, and Software teams to improve how we detect issues, investigate incidents, drive resolution faster, and more consistently. WHAT YOUR DAY COULD LOOK LIKE Fleet monitoring and operational support - Monitor hardware performance metrics to proactively identify collar and tower issues - Investigate and respond to technical support tickets related to collar functionality and tower performance - Lead investigations end-to-end, from triage through root cause to resolution, deciding when to escalate to relevant teams - Collaborate closely with customer teams to ensure efficient handover and resolution of technical issues - Communicate cross-functionally with Deployment, Product, and Engineering teams to align on incidents, root causes, and follow-ups - Contribute to and maintain internal documentation and knowledge bases for known collar and tower issues Tooling, systems, and scaling improvements - Identify opportunities to remove manual work and improve internal workflows across Fleet Operations - Own and build internal tools that support fleet monitoring, investigation, and incident response for a scalable global operating model - Improve internal process flows, including triage pathways, escalation rules, investigation checklists, and automation, to reduce time-to-resolution - Create systems that help surface issues earlier, such as improved alerting logic, trend analysis, and automated detection of known failure modes - Work with engineering teams to integrate tooling with core systems and improve data quality and visibility Field exposure (optional, as needed) - Visit customer farms to work through hardware issues alongside our field-based team where useful WHAT YOU WILL BRING - Hands-on experience in technical operations, support engineering, or a similar role. A background in Computer Science, Software Engineering, Mechatronics or similar is useful but not required - Strong analytical and problem-solving skills, with the ability to break down ambiguous problems and turn them into clear next steps - Confidence working with systems and data, including dashboards, tools, workflows, logs, and APIs - A track record of building tools or automations that others rely on, designing scalable workflows, and making systems easier to operate - Strong technical troubleshooting skills with a practical, hands-on approach - Excellent attention to detail and the ability to identify patterns in data and turn them into action - Clear and concise communication skills, including the ability to explain technical issues to both technical and non-technical audiences - Strong time management skills and the ability to prioritise across urgent support needs and longer-term improvement work - Comfort operating in fast-paced environments where priorities can shift quickly - A passion for supporting farmers and ranchers, and contributing to Halter’s mission to change the way the world farms DEPENDING ON WHERE YOU SIT ON THE STACK, SOME OF THESE WILL LAND HARDER THAN OTHERS - Frontend: strong UX intuition, modern frontend frameworks (React, React Native a bonus), an eye for performance and polish on real devices. - Backend: building and scaling REST APIs, distributed systems, and event-driven services. Comfort with both relational and non-relational databases. Node.js, Kotlin, Go, or systems that integrate with hardware/IoT a bonus. - Full stack: all of the above, end to end, across web, mobile, and the services that power them. WHY THIS ROLE MATTERS This is a role where you will have a direct impact every day, both by helping solve urgent issues for farmers, and by building the internal systems and tooling that allow Halter’s Field Operations team to scale across the globe. THE DETAILS - Full-time with some rostered on-call - Regular days off are Saturday/Sunday with weekend on call rostered - Based in our Auckland HQ JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annualized revenue, 32M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. ABOUT THE ROLE We are looking for a Growth Marketer to own demand generation for our B2B and enterprise business. Our GTM team already has sellers closing deals, creators producing cinematic content for enterprise audiences, and an email engine reaching thousands of prospects. Your job is to build the machine that feeds all of it: campaigns, funnels, and channels that turn attention into qualified pipeline. You are judged on pipeline and revenue influenced, not on clicks or impressions. This is a hands-on operator role. There is no playbook to execute; you will be writing it. WHAT YOU'LL DO GENERATE PIPELINE - Plan, launch, and scale integrated campaigns across paid channels (LinkedIn, Google, X), retargeting, and content distribution that convert into qualified meetings. - Build account-based programs on target enterprise accounts together with sales: the right message, to the right buyer, at the right moment. BUILD THE B2B FUNNEL - Own landing pages and conversion paths from first touch to booked meeting: copy, creative briefs, forms, routing, follow-up. - Launch webinars, showcases, and campaign moments using the cinematic work our creators produce. MEASURE, ITERATE, SCALE - Own funnel metrics end to end: cost per meeting, conversion by stage, channel ROI, attribution. You pull your own numbers and tell an honest story with them. - Run a constant experiment loop: test messaging, audiences, and channels weekly; kill what doesn't convert, scale what does. - Build lightweight systems (Sheets, APIs, automation, AI tools) instead of doing the same work by hand every week. RUN THE GTM LOOP - Sync campaigns with our sales, email, and creative teams so every touch a prospect sees tells one story. - Feed market signal back to product and leadership: what resonates, what objections repeat, where demand is forming. YOUR MUST HAVES - 3+ years in B2B growth, demand generation, or performance marketing at a SaaS or AI company. - A measurable result you can walk us through: pipeline or revenue you generated, which channels drove it, and what part of it was yours. - Hands-on paid channel experience (LinkedIn Ads, Google Ads) with real budget ownership. - Full command of your data: funnels, attribution, dashboards. You don't wait for an analyst to tell you what happened. - Excellent written English and strong copy instincts: you can write a landing page, an ad, and a nurture email yourself. - AI-native: you use LLM tools daily and automate before you hire out. - High agency, fast execution: you ship, iterate, and don't wait for perfect. NICE TO HAVES - ABM and marketing ops tooling: HubSpot or Salesforce, Clay, 6sense or similar. - Experience marketing to enterprise and Fortune 500 buyers. - Webinar or event program experience. - Experience in creative tools, generative AI, or the broader martech ecosystem. THE DEAL - Competitive salary in USD. - On-site role in our Almaty office. - Relocation to Almaty from anywhere: we sponsor and process your work permit, cover your flights, and provide temporary housing while you settle in. - Full-time position.

Location: Athens, Greece Are you interested in working with a leading education technology player, the global leader in the assessment and certification of professional skills industry with presence in more than 200 countries worldwide? If so, this is the chance to apply now! 📥 PeopleCert is looking for a Cost Reduction & Cost Control Manager to lead a company-wide cost reduction initiative and strengthen cost discipline across the organization. This is a high-impact, cross-functional role focused on identifying inefficiencies, challenging spend, and delivering measurable and sustainable cost improvements. The role requires a hands-on, execution-driven professional with the ability to understand how the business operates end-to-end and translate insights into concrete cost actions. As a Cost Reduction & Cost Control Manager , your tasks will include the following: Own the day-to-day cost control cycle, focusing on material spend, contract renewals, price increases, utilisation, volumes and cost deviations. Maintain a forward-looking cost and renewal pipeline so significant costs are challenged before commitments are made. Lead deep-dive analysis of contracts, suppliers, licences, services and operational spend to identify waste, duplication, under-utilisation and structural inefficiencies. Work directly with internal stakeholders, together with Procurement where appropriate, to validate requirements and challenge scope, volumes and specifications. Define cost-reduction opportunities and targets: stop, reduce, consolidate, redesign, renegotiate or source alternatives. Own the cost-reduction pipeline from opportunity identification through implementation and realised savings. Partner with Procurement on sourcing and negotiations while retaining clear ownership of the cost challenge and optimisation recommendations. Work with Finance to establish baselines and validate realised savings; provide concise reporting to the SVP Procurement & Facilities. Lead and develop the Cost Reduction Analyst and ensure sufficient capacity is protected for proactive analysis. Use data, technology, automation and AI tools to improve cost visibility and identify opportunities. What we look for: Bachelor’s degree in Business Administration, Finance, Economics, Supply Chain Management, or a related field preferred. 5–8 years in cost optimisation, cost control, commercial finance, procurement transformation, performance improvement or consulting. Proven delivery of measurable, realised savings in a complex organisation. Strong experience with spend, contract, pricing, utilisation and cost-driver analysis. Deep understanding of both business operations and the technical cost drivers that support them. Excellent knowledge of English (C2 level certification desired, LanguageCert C2 LTE or C2 IESOL certificate would be a plus) Extra languages desired. Advanced computer literacy is required. ECDL Advance level certification is desirable. Hands-on experience or familiarity with data analysis, Power BI, automation and AI will be considered an asset. Strong analytical thinking with commercial and operational judgment. Execution-driven mindset with a focus on outcomes over theory. Experience working across multiple functions in a cross-functional environment. Confident stakeholder management and ability to challenge requirements and influence decisions. What we offer: Competitive remuneration package 💲 Work in an international, dynamic and fun atmosphere among young and smart people 💯 Two free vouchers for all certifications from PeopleCert's Portfolio per year for all employees 🎓 Huge learning experience in using best practices and global environment 📈 Constant personal and professional development 🥇 If you want to become a member of our international, dynamic and agile team that creates world leading software products, then we should certainly like to hear from you! About PeopleCert PeopleCert is a global leader in assessment and certification of professional skills, partnering with multi-national organizations and government bodies for the development & delivery of standardized exams. Delivering exams across 200 countries and in 25 languages over its state-of-the-art assessment technology, PeopleCert enables professionals to boost their careers and realize their life ambitions. Quality, Innovation, Passion, Integrity, Clarity, Velocity are the core values which guide everything we do. Our offices in UK, Greece, Cyprus and India boast a culture of diversity, where everyone is different, yet everyone fits in. All of us at PeopleCert are committed to the reflection of the diversity and inclusion of our customers and the communities in which we do business. Working on Home Office (HO) Secure English Language Tests (SELTs) Any person who is engaged by PeopleCert to work on the SELT service must undergo a Background Check (the results of which must be acceptable to PeopleCert and the HO) prior to commencing their SELT duties. All SELT personnel will be required to complete a declaration (provided by PeopleCert) where the existence of any criminal record and/or bankruptcy must be declared. If working on the SELT service in the UK, background checks will include: A basic or enhanced Disclosure Barring Service (DBS) check Right to Work in the UK check (including nationality, identity and place of residence) HO security check (Baseline Personnel Security Standard (BPSS) or Counter Terrorist Check (CTC) Financial background check Employment reference check. If working on the SELT service anywhere in the world (outside of the UK) personnel will undergo background checks that are equivalent to those stated for the UK. In addition, if personnel are required to speak to SELT candidates they must be appropriately skilled in English language and, where SELT services are provided anywhere in the world (outside of the UK), the official language of the relevant country. All applications will be treated with strict confidentiality.

Location: South Africa; Serbia; Romania; Poland; North Macedonia; Bosnia and Herzegovina Senior Performance Marketing Manager — apply now! $3,500-$4,500/month | Full-time | Fully Remote | US ET hours I’m Dan, the founder of Syroscape . I work with established B2B SaaS companies that already have product–market fit and are ready to scale in a calm, systematic way. My focus is on helping founders grow without burning out, by building better systems around marketing, delivery, and operations. Right now, Syroscape is small, hands-on, and very client-focused. I work closely with founders, stay involved in execution, and care a lot about long-term relationships and retention. This is a great place to work if you like ownership, clear impact, and growing alongside the business as it scales. Why this role exists I need someone who can own a set of client accounts end-to-end — strategy, execution, and communication — without splitting those responsibilities across multiple people. Too often, "media buyer" has come to mean someone who only wants to execute and never talk to clients, while "account manager" has come to mean someone who relays updates without understanding the work well enough to explain it. Neither works for us. This role is both. You'll run your own accounts: build the strategy, execute the campaigns yourself, and be the person on the call explaining results, answering questions, and building the client relationship. You won't be handing off communication to someone else, and you won't be handing off execution to someone else either. In this role, you will: 📈 Own paid media strategy and execution for a focused set of client accounts (not a large book — quality over volume) 🎯 Manage and optimize campaigns across Google Ads and Bing Ads primarily, with Meta and LinkedIn Ads where relevant 🤝 Lead client communication yourself — regular calls, Slack updates, and reporting, with a real understanding of what's happening in the account so you can explain it clearly 🔍 Develop and adapt strategy based on performance data, market changes, and client goals — this isn't an execution-only role ✍️ Guide ad copy, messaging, and landing page direction for your accounts, working closely with our Creative Strategist 📊 Translate performance data into clear, honest updates clients can act on — including when results aren't where we want them, as long as we're showing a plan 🔁 Act as backup coverage on our largest accounts when needed, working alongside our senior US-based lead so nothing falls through the cracks if someone's out ⚡ Use AI tools (Claude, ChatGPT, and similar) as a core part of how you work — for campaign builds, research, reporting, and more — to work efficiently without needing a large support team 🧠 Bring your own point of view on strategy — we want someone who proactively flags problems and proposes solutions, not someone who waits to be told what to do This is a full-time role. Core overlap with US Eastern Time required (approximately 7am–3pm ET), with flexibility for client meetings as needed. Requirements To excel in this role, you need: ✅ 5+ years of hands-on paid media, including 2+ years in a multi-client agency environment — you've run 5+ accounts simultaneously and know the context-switching cost ✅ Solid B2B experience — B2B SaaS specifically is ideal, but strong B2B ads experience (longer sales cycles, lead gen, booked meetings) is what matters most ✅ Strong expertise in Google Ads, with Bing Ads experience a real plus ✅ Working knowledge of Meta Ads and/or LinkedIn Ads ✅ Comfort and confidence leading client calls and explaining performance and strategy in your own words — this is not optional ✅ Direct, primary ownership of client communication in a past role — you were the main point of contact, not a support role behind an account manager — and you manage your own task list and priorities without a project manager checking in on you ✅ Ability to own both strategy and execution for your accounts, not just one or the other ✅ Experience managing multiple accounts at once, with a range of budget sizes ✅ Hands-on conversion tracking and attribution implementation — GTM, offline conversion imports, and reconciling platform data against attribution tools (we use Hyros) ✅ Practical, daily use of AI tools to improve your own workflow and output ✅ Excellent written and spoken English ✅ Proven ability to take ownership and work independently without close oversight Brownie points for: ⭐ Experience managing larger, more complex accounts (six figures/month) in addition to smaller ones ⭐ Experience building AI-powered workflows or automations ⭐ Experience with LinkedIn Ads or other B2B-specific channels The ideal candidate is proactive, highly accountable, and genuinely cares about results. You don't wait to be told what to do - you identify problems, bring solutions, and follow through. You're equally comfortable discussing strategy with a client and diving into campaign details yourself. You simplify complexity, communicate clearly, and take ownership of outcomes. Most importantly, you're someone people can rely on to do what you say you'll do. Within your first 90 days, success looks like: Fully owning your accounts — strategy, execution, and client relationship — with minimal need for Dan's involvement Clients feeling consistently informed and confident in what's happening with their account, even when performance dips Demonstrating sound judgment on when to test, when to scale, and when to flag a problem before it becomes one Working smoothly alongside our senior US-based lead and Creative Strategist as part of a small, high-trust team Benefits 💰 $3,500 - $4,500 per month* 🌍 Full-time role, fully remote 🏖 Around 20 days paid time off, depending on your country 📈 Opportunity to become a key leader within a growing agency 🚀 High-impact role with significant ownership and influence 🤝 Direct collaboration with the founder and exposure to strategic business decisions 🕒 Structured workdays with a focus on sustainable growth *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: Bengaluru, India We are looking for a lead-level Accessibility QA Engineer who still tests hands-on. You will guide engineering on accessible implementation, run knowledge sessions for engineering and product, and write an accessibility plan for a platform. The plan states the testing the platform needs and the support and budget it does not yet have. Quality engineering uses that plan to request both. You will audit against WCAG 2.2, targeting AA, with awareness of AAA where relevant, and you need working knowledge of WCAG 2.1 and 2.2 at A and AA. Audits use screen readers, keyboard-only navigation, and automated scanners. You will own the accessibility testing process, from test plans, severity, regression, and sign-off through CI gates, remediation guidance, and stakeholder reporting. An accessibility certification is not required. You will manage and mentor the accessibility QA team, and report conformance and regulatory risk in writing that both engineers and legal or compliance staff can use. This position is intended for Hyderabad-based candidates who are available to work from the office. Our client delivers web and mobile products that must meet US and European accessibility requirements. Accessibility is managed continuously through early acceptance criteria, automated checks, hands-on testing with assistive technology, remediation, and conformance reporting. Conduct accessibility audits and risk assessments against WCAG 2.2 Level A and AA, with awareness of relevant Level AAA criteria. Test semantic HTML, WAI-ARIA, keyboard interaction, screen-reader behavior, native mobile applications, the DOM, and the accessibility tree. Create and review test plans, test cases, and automated accessibility tests using axe-core with Playwright, Cypress, Selenium, or comparable frameworks. Write platform accessibility plans and maintain the testing process, including priorities, definition of done, regression, release-readiness, approved exceptions, risk acceptance, and remediation tracking. Shift accessibility left with product, design, and engineering through accessible components, early acceptance criteria, pull-request checks, automated scanners, and CI/CD gates. Track conformance, maintain Accessibility Conformance Reports using the appropriate VPAT template, evaluate vendor accessibility claims, and communicate regulatory risk. Establish accessibility quality metrics, dashboards, and stakeholder reporting. Apply AI-assisted testing and reporting tools with human verification of generated results. Lead, mentor, and develop the accessibility QA team through planning, coaching, review, and calibration. Train product, design, engineering, and QA teams, and provide actionable remediation guidance through validation. Produce technical findings, defect reports, and stakeholder communications for engineering, business, and Legal and Compliance audiences. Lead-level accessibility experience, including hands-on testing and building or operating an accessibility testing process. Deep knowledge of WCAG 2.2 testing and conformance, plus US and European requirements including the ADA, Section 508, EN 301 549, and the EAA. Practical fluency in WAI-ARIA 1.2, ARIA Authoring Practices, semantic HTML, CSS, accessible names, and expected keyboard interactions. Proficiency with NVDA, JAWS, VoiceOver, TalkBack, keyboard-only testing, native mobile accessibility, and DOM and accessibility-tree inspection. Experience conducting accessibility audits and risk assessments for web and mobile products. Experience creating test assets and automated accessibility tests using axe-core with Playwright, Cypress, Selenium, or comparable frameworks. Experience selecting automated scanners and integrating accessibility into design reviews, pull requests, and CI/CD. Experience writing accessibility plans and defining testing scope, priorities, quality gates, exceptions, and remediation tracking. Experience authoring and reviewing Accessibility Conformance Reports, selecting the appropriate VPAT template, and evaluating vendor accessibility claims. Experience defining accessibility metrics and using AI-assisted tools with appropriate human verification. Experience leading and training QA or accessibility teams and working with product, design, and engineering. Ability to explain user impact and provide actionable remediation guidance through implementation and validation. Strong written communication for engineering, business, and Legal and Compliance audiences. IAAP certification such as CPACC, WAS, or CPWA, or Section 508 Trusted Tester certification. PDF and document accessibility experience, including tagged PDF structure and the PAC tool. Knowledge of cognitive and low-vision accessibility. Experience contributing to or auditing an accessible design system. Experience with accessibility maturity models.

Location: United States Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for integrations between our product and external systems, including the Integrations Store. You will combine engineering leadership with hands-on technical expertise to deliver secure, reliable integrations that fit our customers' workflows. What you'll do: Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible. Delegate ownership to engineers and, as the team grows, team leads; distinguish near-term delivery from long-term capability development. Keep the role to no more than three clearly defined focus areas, with team leads taking ownership as capacity grows. Work with Product Management to define priorities, plan delivery, and translate customer needs into integration capabilities. Oversee the design, development, and maintenance of integrations, including: - Connectors to third-party applications and services. - An Integrations Store for discovering and managing available integrations. - Data mapping, validation, and synchronization between systems. - Authentication, authorization, and secure credential handling. - Monitoring, troubleshooting, and recovery from integration failures. Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners. Establish reusable integration patterns that handle retries, rate limits, duplicate events, and API version changes reliably. Own automated pipelines for building, testing, validating, and deploying integrations. Improve integration reliability, performance, and observability, and guide the team in resolving production issues. Coordinate with other engineering teams and external partners to manage dependencies and compatibility. Apply AI technologies where they improve integration development, testing, or support, with appropriate validation of outputs. Requirements What we're looking for: Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, and TypeScript. Experience building and operating AWS services in production. Hands-on experience designing and maintaining APIs and integrations with external systems. Understanding of distributed systems, asynchronous processing, data consistency, and failure recovery. Proficiency in SQL and experience with data modeling, aggregation, and query performance. Experience with secure authentication and authorization for integrations. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have: Experience writing automated integration and contract tests. Proficiency in SQL. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products with numerous endpoints. Experience maintaining integrations across multiple third-party API versions. Benefits Fully remote work with flexibility to support your work-life balance. A collaborative environment that empowers you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for career advancement. Friendly, professional colleagues who are eager to support you and help you grow. Engaging challenges and opportunities to make a meaningful impact.

Location: Limassol, Cyprus The System & Infrastructure Administrator is responsible for the day-to-day administration, support, security, and reliable operation of the company’s corporate IT environment. The role ensures that user access, infrastructure, internal services, networks, endpoints, and core business systems remain available, secure, and properly maintained to support daily business operations. Responsibilities Manage the full employee access lifecycle (Joiner–Mover–Leaver) across Microsoft 365, Active Directory, GitLab, 1C-related systems, Slack, ClickUp, Vaultwarden, VPN, file storage, and other corporate services. Provision and revoke accounts, access, licences, MFA, SSO, VPN access, equipment, and company assets; update access promptly when employees change roles or leave. Administer Microsoft 365/Entra ID, Windows Server, Active Directory, Group Policy, DNS, DHCP, file services, Linux systems, and SMB-based shared storage. Maintain server and virtualisation infrastructure, storage, backups, internal services, and remote-access solutions. Administer office networks, Wi-Fi, VLANs, VPNs, firewalls, switches, routers, DNS records, domains, and TLS certificates. Monitor infrastructure and backup jobs, perform regular recovery tests, apply patches and updates, and troubleshoot incidents. Operate endpoint protection, EDR, vulnerability-management, logging, and SIEM tools; triage alerts and escalate security incidents when required. Provide infrastructure-level support for SWIFT, 1C-related systems, corporate websites, and internal web services. Provide L2–L3 support for employee endpoints and workplace technology, including advanced troubleshooting, hardware replacement, OS and application issues, access-related problems, encryption, VPN connectivity, and escalated technical incidents. Manage the lifecycle of laptops, peripherals, IT assets, software licences, subscriptions, repairs, and approved purchases. Maintain technical documentation, asset and access records, recovery procedures, and operational runbooks; automate repetitive tasks where appropriate. Requirements 3+ years of hands-on experience in system administration, infrastructure support, or corporate IT operations. Strong practical knowledge of Windows Server, Active Directory, Group Policy, Microsoft 365/Entra ID, DNS, DHCP, and access management. Working knowledge of Linux administration and troubleshooting. Strong understanding of TCP/IP, VLANs, routing, NAT, VPNs, Wi-Fi, firewalls, NAS, and SMB. Experience with virtualisation, Proxmox, ZFS, LVM, storage systems, backup systems, and recovery procedures. Experience with Docker, GitLab CI, and container registries. Understanding of RBAC, least privilege, MFA, SSO, privileged and service accounts, access reviews, patching, endpoint security, and incident escalation. General knowledge of cloud providers and cloud concepts, including compute, storage, networking, IAM, monitoring, backups, shared responsibility, and basic cost awareness. Experience supporting employee devices at L2–L3 level and working with an ITSM/helpdesk system. Basic automation skills in PowerShell, Bash, Python, Ansible, or APIs. Good written English and the ability to maintain clear technical documentation. Nice to Have Hands-on experience with AWS, including IAM, EC2, VPC, S3, Route 53, CloudWatch, or AWS Backup. Experience operating or troubleshooting Kubernetes clusters. Experience with SIEM, EDR, vulnerability scanners, PKI, certificate automation, or secrets-management systems. Experience supporting 1C, SWIFT, financial systems, Microsoft Intune, or ITAM/CMDB platforms. Benefits Competitive salary; Annual performance bonus; Access to our Limassol offices, including daily drinks and snacks, as well as parking facilities; Working hours are from 9:00 to 18:00, with a shorter day on Fridays until 16:30; 24 working days of paid annual leave, in addition to statutory public and bank holidays in Cyprus; 14 working days of paid sick leave per calendar year; Work permit sponsorship and full support with all related arrangements; The opportunity to participate in corporate sports activities and events, and receive corporate gifts.

Location: India Our client is a UK-based B2B software company specialising in technology for the energy and commodity markets. They are looking for a hands-on Principal Software Engineer to join a small engineering team building complex software for the European energy and trading market. This is a technical leadership role first, with people management alongside it. You’ll continue writing and reviewing production code every week while also leading and developing a small team of engineers. Requirements You’ll take ownership of the technical direction of a core product area, working from well-defined requirements through design, development and delivery. Key responsibilities include: Write, review and ship production code regularly using C#/.NET and Azure Lead technical design and make architecture decisions, balancing delivery speed with long-term maintainability Design, develop, refactor, debug, test and support high-quality software Line-manage and mentor a small team of engineers Lead code and design reviews and constructively challenge technical decisions Own automated unit testing and promote strong engineering practices Identify root causes of complex technical issues and implement long-term solutions Contribute to planning, estimation and requirements refinement What We’re Looking For 10+ years of commercial software engineering experience Strong, recent and hands-on C#/.NET experience, including .NET Core/Web API Experience with Azure and cloud-based software development Strong system design and software architecture skills Experience with SQL and NoSQL databases Docker, containerisation and orchestration experience Strong understanding of SOLID principles, design patterns and integration patterns Experience with automated testing and code reviews Proven people management / line management experience while remaining hands-on technically Fluent English and strong communication skills A stable career history and experience working in complex products Nice to Have Experience in fintech, payments, trading, energy or another complex/regulated domain Experience in a smaller product-focused company Infrastructure as Code, such as Terraform, Bicep or ARM GitHub Actions, SonarCloud or CodeQL Experience with multi-tenant SaaS products TypeScript, Angular, JavaScript or Python Benefits Fully remote within India Competitive salary + annual bonus Private medical insurance Flexible working hours 24 days’ annual leave plus bank holidays Regular in-person team gatherings with travel and accommodation covered Opportunity to work on complex software used in live European energy markets

Задачи: — Вести продукт от бизнес-проблемы до ценности в production: исследовать процесс заказчика, формулировать jobs-to-be-done / потребности, определять scope, критерии успеха и приоритизировать — Формировать и защищать product decisions: что делаем, что не делаем, почему именно такой вариант — Глубоко понимать техническое решение, чтобы обсуждать с разработчиками и архитекторами ограничения, варианты реализации, стоимость изменений и технические компромиссы — Активно использовать AI в production-процессе (Claude Code, Codex, Cursor и другие agents) — для исследования, прототипирования, проверки гипотез и работы с продуктом — При необходимости самостоятельно исследовать существующую систему и процессы через AI-агента — Быстро собрать prototype / vertical slice — Проверить гипотезу на реальных данных или сценариях — Описать и провалидировать API / интеграции — Провести AI-assisted review решения — Проверить пользовательский сценарий end-to-end — Организовывать работу так, чтобы AI ускорял discovery, валидацию и delivery, а не просто помогал писать тексты и тикеты — Удерживать фокус на результате для бизнеса и пользователя, а не на количестве фич Требования: — Опыт работы Product Manager / Product Owner в software-продуктах или заказной разработке от 5 лет — Техническое образование или опыт в аналитике / разработке — Техническая погружённость: понимание frontend/backend, API, данных, интеграций, ограничений разработки и release-процесса — Способность разобраться в существующей системе (в том числе вместе с coding agent) — Умение отличать сильное продуктовое и техническое решение от слабого и разговаривать с Tech Lead / Senior на одном языке — Реальный опыт работы с AI-агентами (не только ChatGPT), особенно для исследования, прототипирования и проверки гипотез — Умение выстраивать процесс работы с AI: что отдавать агенту, какие решения оставлять человеку, как проверять результат и снижать риски галлюцинаций — Способность проходить путь: business problem → discovery → scope → solution → prioritization → delivery → verification → value — Умение выбирать простое и быстрое решение вместо технологически красивого, но долгого, когда оба закрывают потребность Будет плюсом: — Опыт самостоятельного создания с AI работающего продукта, внутреннего инструмента или automation — Опыт работы с coding agents, MCP, Playwright, agent orchestration Условия: — Удаленный формат с гибким графиком — Официальная оплата, прозрачные условия и регулярный пересмотр компенсации — Доступ к ИИ-инструментам разработки за счёт компании — Переработки не приветствуются, но если бывают — честно оплачиваются — Компенсация участия в конференциях, поддержка публикаций и выступлений — Минимум бюрократии, максимум свободы и доверия

Location: British Columbia Workplace: Hybrid Safe Software is looking for an experienced developer to join our Cloud Applications team and take a leading technical role in our FME AI Service, AI Assist Plugin, and future AI product offerings. This is deliberately a hybrid role. We need the software engineering depth to build and operate production services, alongside the experimental instinct to determine empirically what makes an LLM-based agentic system work. Many of the problems don't have standard solutions yet, so you'll be the person who designs the experiment, measures the result, and turns the finding into a shipped improvement. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM As a member of our Cloud Applications development team, you will take technical leadership of designing and developing new features, as well as maintaining existing functionalities in our products. You will primarily work in Python (FastAPI and LangChain), with a willingness to learn new languages and technologies as needed. You will also contribute to support our live applications. The team practices agile development and utilizes Kanban boards to manage their backlog, epics and stories. As a Staff Software Developer - AI Products, you will regularly participate in team meetings (stand-ups, planning), lead technical decision-making processes, and work closely with our Product Managers, UX Designers, and QA, as well as Customer Experience team members who review live traces from AI applications. WHAT YOU’LL BE DOING As a Staff AI Developer, you will: - Design and build server-side services and APIs (FastAPI). - Design and build modular agentic workflows to augment the FME platform capabilities. - Stay up to speed with developments in AI and LLM tooling, and incorporate relevant ideas into our products. - Participate in every aspect of the development cycle, including shaping specifications with the product owner, developing clean and maintainable code, writing unit and integration tests, doing code reviews, and maintaining and improving existing code. - Collaborate, support, and share expertise with other team members. - Work closely with the product owner and design team to deliver a high quality and consistent user experience. - Maintain and continuously improve the building and delivery of our AI service to reduce query latency and improve assistant response quality. - Investigate, evaluate the impact, and resolve anomalies and bugs in live applications. - Participate in the team’s light on-call rotation to support live applications. QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. Background - Bachelor's degree in Computer Science or a related field, or equivalent experience. - Typically, at least 7 years of experience working on production backend systems. - A track record of leading technically ambiguous projects and raising the capability of the engineers around you. Technical skills - Project or work experience with agentic LLM-based applications, including techniques such as RAG, prompt and context engineering, and tool calling. - Demonstrated experience evaluating LLM systems: building eval sets, defining quality metrics, and tracing and debugging non-deterministic behaviour. - Depth in at least one modern backend language, and the ability to pick up others as the work demands. - Experience with a modern backend web framework such as FastAPI. How you Work - An empirical mindset — comfort designing and running experiments to reach a decision, rather than reasoning about which approach should be best. - Strong interest in the craft, a curious mind, and eagerness to learn new tools and technologies. - Able to explain technical tradeoffs clearly to teammates and stakeholders. - Excellent organizational skills, with the judgment to prioritize your own work efficiently. - Resourcefulness and the ability to work well in a team-based environment. DESIRED SKILLS / BONUS POINTS We don't expect any single candidate to have all of these. Evaluation and experimentation: - Familiarity with LLM evaluation libraries such as Ragas, DeepEval, openevals, promptfoo, Inspect, or TruLens. - Experience with LLM observability and tracing tooling such as LangSmith, Langfuse, Braintrust, or Arize Phoenix. - Statistical literacy: A/B testing, significance, and sample sizing for model and prompt comparisons. - A background in machine learning or data science, or experience collaborating closely with those who do. - Experience with the problem domain: FME, other ETL tools, spatial data processing, or data integration. Retrieval and infrastructure: - Working knowledge of embeddings, vector databases (e.g. pgvector), and chunking and retrieval strategy. - Experience with Docker and deploying applications on Kubernetes. - Experience working with services from a cloud provider, such as AWS, GCP, or Azure. - Understanding of common client and server side vulnerabilities (e.g. OWASP Top 10) as well as security vulnerabilities specific to LLM–based applications. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: New York, NY (HQ); San Francisco, CA; Remote (US) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT PRODUCTION ENGINEERING Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them. A few things that define how we operate: - One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle. - If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack. - We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed. - We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job. - We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters. You cannot build the future of finance on shaky infrastructure. OUR TEAMS Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does. Right now, we operate across four areas: - Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale - Storage — databases, caching, object storage, and the data infrastructure that underpins everything - Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture - Developer Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs WHAT YOU'LL DO Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team. As a Tech Lead & Manager, you are a hands-on player-coach: you will lead and grow a team while remaining directly engaged in the technical work. Management at Ramp does not mean stepping away from the technology or the code. You will help set direction, develop engineers, and work alongside the team to deliver consequential infrastructure outcomes. Day to day, you will: - Build, coach, and grow a high-performing team. Create clarity, give direct feedback, mentor engineers, and help each person expand their technical judgment, ownership, and leadership. - Set technical direction for your team’s domain. Identify the highest-leverage problems, define a path forward, bring the right people along, and stay engaged with the team until the work is delivered. - Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale. - Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved. - Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time. - Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs. - Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers. - Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE. - Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom. - Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done. WHAT WE LOOK FOR We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team. The mindset we're looking for: - You love building teams, mentoring engineers, and helping people grow—and you are equally energized by writing code, reviewing designs, and digging into complex distributed systems. - You are a true player-coach. You know when to coach, delegate, and create space for others to lead; you also know when your direct technical involvement will create the most leverage. - You can set a technical direction, bring people along, and then lock in with the team to make it happen. - You do not believe managing engineers means stepping away from the technology or the code. - You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem. - You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job. - You move with urgency but without chaos. You know when to go fast and when to slow down and do it right. - You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win. - You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one. - You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am. Experience profile: - 8+ years of software engineering experience, including a track record of shipping high-quality architectures for critical systems. - Staff+-level technical leadership: experience setting technical direction and leading complex, multi-quarter technical initiatives from ambiguous problems through durable production outcomes. - Experience managing, mentoring, and developing engineers. You create clarity, give direct feedback, and help people grow in technical judgment, scope, and leadership. - A sustained hands-on engineering track record. You are comfortable writing and reviewing production code, evaluating system designs, debugging incidents, and making difficult technical tradeoffs. - Hands-on experience building and operating distributed systems at production scale. - Strong software engineering fundamentals — you write clean, well-tested, production-ready code and set that standard for the team. - Experience with at least one major cloud provider (AWS preferred). - Familiarity with observability and reliability practices, including SLOs, error budgets, alerting, dashboards, and incident response. - Track record of delivering through cross-functional coordination: aligning stakeholders, unblocking teams, and staying accountable for the outcome. - Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — and helping a team use them to move faster and think bigger. Bonus (not required): - Experience with cellular or multi-tenant architecture patterns - Prior work on workflow orchestration systems (Temporal) - Contributions to developer experience or internal platform tooling - Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2) BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Задачи: — Разрабатывать и поддерживать модули Terraform/OpenTofu для vSphere VM provisioning, настройки размещения и resource-pool, интеграции cloud-init/cloudbase-init согласно дизайнам VMware Architect. — Создавать и запускать Ansible playbooks для пост-провиженинга конфигурации на VMware VM. — Обеспечивать модули VMware DRS (правила affinity/anti-affinity, resource pools) и vSAN (storage policy). — Помогать в создании и тестировании модулей SRM (protection groups, recovery plans) и HCX (site pairing, network extension), включая тестирование отказоустойчивости. — Сотрудничать с Network Architect по реализации NSX-T сегментов и правил DFW для VMware нагрузок. — Диагностировать и решать производственные проблемы в VMware automation модулях на этапах внедрения и адаптации. — Участвовать в тестировании модулей и документации согласно стандартам платформы Infrastructure as Code Engine. Требования: — Опыт 3+ лет в разработке и эксплуатации VMware automation. — Экспертные знания vSphere, DRS и vSAN через Terraform/OpenTofu и Ansible. — Опыт тестирования VMware, включая paired-site и failover тесты для HCX/SRM. — Знания NSX-T сетевой сегментации и распределённого файрвола (DFW) для взаимодействия с Network Architect. — Навыки настройки Windows guest (cloudbase-init) и Linux cloud-init. — Профессионализм в Terraform (IaC) и Ansible (CaC) разработке. — Умение работать с AI-поддержкой через GitHub Copilot. — Свободное владение английским языком на уровне B2 и выше. Желательно: — Опыт интеграции VMware provisioning с golden-image pipelines. — Знания Microsoft Azure. Условия: — Полная занятость. — Удалённая работа.

Location: Remote Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Alpaca is growing its Treasury function as we scale our product suite, global footprint, and self-clearing operations. We are looking for a Financial Risk Manager to support the development and day-to-day execution of Alpaca's liquidity risk monitoring and stress testing program. This is a hands-on, analytical role for someone who wants broad exposure across Treasury, Finance, Operations, and Risk. You will work closely with the Head of Treasury and partner cross functionally to help maintain sound liquidity governance and produce rigorous analysis under both business-as-usual and stressed conditions. This role is responsible for building out Alpaca's liquidity risk infrastructure from the ground up. You will establish daily liquidity reporting, streamline data pipelines, implement intraday monitoring and stress testing capabilities, develop longer-term and Monte Carlo-based stress testing frameworks, and build the alerting and controls needed to support Treasury decision-making as Alpaca launches new products and expands into new markets. While the title reflects managerial scope over liquidity risk and stress testing workstreams, this is primarily an individual contributor role with opportunity to grow into broader leadership as the function matures. What You'll Do: Key Priorities This role will be responsible for building out the following core capabilities: Daily liquidity reporting and streamlined data pipelines Intraday liquidity monitoring Intraday stress testing Longer-term stress testing Monte Carlo simulations for stress testing Alerting frameworks and other necessary controls Daily Liquidity Reporting & Data Pipelines Build and own daily liquidity reporting, ensuring timely, accurate views of firm liquidity positions across products and legal entities Design and streamline data pipelines connecting Treasury, Finance, Operations, and clearing/settlement systems to reduce manual effort and improve data quality Help maintain broker-dealer liquidity reporting related to SEC Rule 15c3-1 (Net Capital), SEC Rule 15c3-3 (Customer Reserve), and related FINRA/SEC requirements Partner with Engineering and Data teams to automate reporting workflows using SQL, Python, and BI platforms Intraday Monitoring Build and maintain real-time and intraday liquidity monitoring capabilities to track cash positions, settlement flows, margin movements, and funding needs throughout the day Establish intraday liquidity metrics, limits, and early warning indicators (EWIs); investigate breaches and prepare escalation materials for Treasury leadership Support same-day funding and treasury operations decisions with timely liquidity analysis during market hours Intraday Stress Testing Develop and implement intraday stress testing capabilities to assess the impact of sudden market moves, margin calls, settlement disruptions, and customer activity spikes on firm liquidity Run and refine intraday stress scenarios in coordination with Treasury Operations and Risk teams Ensure intraday stress results are actionable for real-time decision-making Longer-Term Stress Testing Build out the firm's longer-term stress testing program, including scenario design, assumption documentation, model runs, and results reporting Develop and update stress scenarios — including market-wide and tail-risk events — to assess impacts on net capital, customer reserve, firm liquidity, and settlement flows across multiple time horizons Participate in integrated stress exercises with Market Risk, Credit Risk, and Operational Risk teams and help synthesize results for Treasury and Risk stakeholders Review and challenge assumptions used in stress models; flag areas requiring further review or remediation Monte Carlo Simulations Build and maintain Monte Carlo simulation models to complement deterministic stress testing and better capture the distribution of potential liquidity outcomes under adverse conditions Calibrate simulation inputs, validate model outputs, and incorporate results into Treasury liquidity planning and risk limit setting Alerting & Controls Design and implement alerting frameworks to notify Treasury leadership of limit breaches, deteriorating liquidity metrics, and stress test threshold breaches Build out the controls infrastructure necessary to support liquidity risk governance, including escalation protocols, documentation standards, and audit trails Prepare analysis and documentation for regulatory examinations, internal audits, and management reporting; coordinate with the Risk team as needed Cross-Functional Support Provide liquidity risk input in the New Product Approval (NPA) process, identifying potential funding and liquidity considerations for new asset classes, leveraged products, and international expansion Partner with Engineering, Product, and Operations to help stress-test margin engines, settlement workflows, and treasury systems Contribute to ERM deliverables such as the Risk Register and Key Risk Indicators (KRIs) in coordination with the CRO and Risk team Help document policies, procedures, and methodologies as the Treasury function scales Stay current on regulatory developments, industry stress events, and emerging liquidity risks in fintech and digital asset markets Who You Are (Must-Haves): 2-4 years experience in liquidity risk, treasury, financial risk, middle office, or balance sheet analytics within a broker-dealer, bank, or fintech environment Solid understanding of broker-dealer liquidity and capital requirements, including SEC Rules 15c3-1 and 15c3-3 Hands-on experience building or supporting liquidity reporting, data pipelines, and stress testing programs Experience with intraday liquidity monitoring, stress testing, or real-time risk reporting Familiarity with Monte Carlo simulation techniques or probabilistic risk modeling Familiarity with Treasury operations, cash management, and funding workflows in a regulated environment Working knowledge of risk governance concepts and how Treasury and Risk functions interact in a broker-dealer setting Proficiency in SQL and Python (or similar) for data analysis, pipeline development, reporting automation, and working with large datasets Strong attention to detail and ability to produce clear, well-structured analysis for senior stakeholders Comfortable working cross-functionally in a fast-paced, remote-first startup environment Who You Might Be (Nice-to-Haves): Experience at a self-clearing broker-dealer or carrying/clearing firm Experience building alerting, monitoring, or controls frameworks from scratch Exposure to SPAN, TIMS, or margin methodologies and their liquidity implications Familiarity with crypto/digital asset liquidity risk or 24/5 trading environments Experience supporting SEC/FINRA examinations or internal audit requests Knowledge of international regulatory frameworks across Alpaca's global subsidiaries FRM, CFA, or similar certification (or in progress) Prior experience in a high-growth fintech where processes and frameworks are still being built How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: Remote Workplace: Remote About Prefect Prefect builds automation for an unpredictable world. The last decade of automation was about protecting workflows from unpredictability; in the agentic era, unpredictability is the point. Our mission is to give people confidence in automated work, whether that work is a mission-critical data pipeline or a fleet of AI agents. In August 2026, Prefect and Dagster, competitors for eight years, joined forces to build the next generation of automation infrastructure. Today, our ecosystem includes Dagster, the data platform; Prefect, the agent platform; and FastMCP, the leading open-source developer framework for the MCP ecosystem. Together, our open-source and commercial products are trusted by Fortune 500 companies, data innovators, and high-growth technology companies around the world. We think of our culture as the operating system of the company. We’ve carefully created a supportive, high-performance environment that empowers our team to do the best work of their careers, have meaningful impact, and continue growing personally and professionally. We’re a remote-first team that values high standards, ownership, and thoughtful collaboration. ROLE SUMMARY: Product work at Prefect currently lives inside our engineering organization and engineers carry real product ownership. As we grow, co-ordination across products becomes more important and we are looking for a Director of Product to manage product responsibilities across our portfolio. You will be our most senior dedicated product person, responsible for making our three products work as one coherent portfolio. You'll build our discovery and validation practices and coach our engineers on the product side of their work. You won't inherit a product org and instead will arrive as a team of one inside an engineering-led company. This role will report to our Head of Engineering, Jenny. WHAT YOU'LL DO: - Drive product decisions for shared surfaces across our products such as where certain enterprise features live and what consolidated auth and billing will look like. You will work with product leads (typically Engineering Directors) to align each product's roadmap to the company vision. - Build our product discovery practice - user conversations, customer signal, and problem validation. You don't run every conversation yourself but you set the standard for how discovery gets done, facilitate it across surfaces, and coach engineers to run their own user conversations well. You'll be a key partner to engineers in framing problems and help ground what we choose to build in customer evidence. - Coach the product side of our product engineers - our model asks engineers to carry real product judgment, and you raise that bar across the org helping engineers to frame problems, weigh evidence, talk to users, and decide what not to build. - Design and own the system for measuring the success of what we ship. This includes defining what "it worked" means and the practice of validating after launch. You make sure that post launch validation happens and happens honestly. And that what we learn feeds back into what we build next. YOUR QUALIFICATIONS: - 10+ years in product, with real product management experience at the leadership level — you've owned multi-team roadmaps, driven tough prioritization decisions and shipped through others without direct authority over them. - You've operated in start-ups and engineering-led orgs. You know how to carry product weight through influence, without a PM org or a reporting line over the people building. - You synthesize across domains. Multi-product portfolios, platform/product tension, or post-acquisition integration experience is a strong signal. - Deep familiarity with the modern data stack, orchestration, or developer tools. Bonus for hands-on experience with agentic systems or MCP. - You've made other people better at product. WHAT YOU'LL GET IN RETURN Base Salary Ranges: - San Francisco Bay Area & NYC Metro: $221,000–$276,000 - Washington D.C., Boston, LA Metro, Seattle: $200,000–$257,000 - Denver, Chicago, Atlanta, & all other U.S. metros: $191,000–$238,000 Actual base salary within each range depends on the candidate's location, experience, and qualifications. Please keep in mind that equity and benefits are not included in the range provided above. Your recruiter can share more about the salary range for your preferred location during the hiring process. Perks and Benefits: - Remote-first team with flexible-first culture - Equity Stock Options - 401(k) with 5% company match (vests immediately!) - Unlimited PTO - Medical, Dental and Vision insurance - Generous Parental Leave - Life Insurance and Disability benefits - $800/month remote work stipend And that's just the start — for more info check out our benefits and perks on our careers page. BELONGINGNESS AT PREFECT: Belongingness at Prefect is our commitment to ensuring mutual power, access, and opportunity among all groups and individuals who make up our community. We operationalize belongingness through actions large and small on a daily basis, but always with the goal that all groups and individuals can contribute as their most authentic self to the evolution of our product, our team, and our community. Belongingness is also our commitment to bridge with individuals or groups not yet established in our community, acknowledge differences in a way that affirms distinct identities, and allows for a new, more expansive group identity to form. EQUAL OPPORTUNITY AT PREFECT: Prefect is an equal opportunity employer and encourages applications from people of all backgrounds. All applicants will be considered for employment without attention to race, religion, color, sex (including pregnancy, sexual orientation and gender identity/expression), national origin, disability or any other status protected under applicable federal, state, or local laws. Delaney is a real live person (👋🏻) and is looking forward to learning more about you through your application.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. We're looking for full stack machine learning engineers with experience across model training, productionization, and evaluation. You'll also look for ways to use Claude to speed up how these models get built and maintained. This is classical ML on structured and behavioral data. You do not need a deep learning background or knowledge of LLM internals. What matters is that you have trained and shipped models where the stakes are real, and that you care about building robust production systems as much as the model itself. A false positive here is a legitimate customer locked out, so measurement, precision, and safe rollout are part of the job. Key responsibilities Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture Minimum qualifications Proficiency in Python and SQL Experience training machine learning models and deploying them to production Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow) Working understanding of point-in-time correctness and training / serving skew, and how to prevent both Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders Preferred qualifications Experience building or operating a feature platform such as Chronon, Feast, or Tecton Experience with stream processing engines such as Flink, Beam / Dataflow, or Kafka Streams Experience training ML models in a production setting with demanding serving requirements, such as fraud, risk, or ranking Experience with tree-based models on tabular data Experience building unsupervised, clustering-based or graph-based detection systems to surface coordinated account abuse Experience in integrity, spam, fraud, or abuse detection Experience working with scarce, delayed, or noisy labels Experience with AutoML or other approaches to automating the ML workflow Care about the societal impacts of AI and want your work to make powerful systems safer 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 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Overview We are looking for a Risk Product Analyst to work directly with Portfolio Managers, Traders, and Quantitative Researchers across multiple trading desks and asset classes.  The role sits at the intersection of trading, risk, and technology. You will be responsible for proactively identifying problems affecting our internal risk and valuation systems, diagnosing them by tracing the cause into the back-end services and infrastructure those systems depend on, and resolving them quickly and effectively. This is a fast-paced, highly collaborative role that requires deep knowledge of products and markets, strong technical skills, and sound judgement under pressure. Responsibilities Partner directly with Portfolio Managers, Traders, and Quantitative Researchers across rates, FX, commodities, equities, and crypto asset classes, serving as their primary point of contact for issues affecting risk and valuation. Diagnose and resolve issues affecting our next-generation risk and valuation systems, investigating across the full technology stack: applications, APIs, databases, messaging systems, and the underlying services that they depend on. Monitor system and trading issues and prioritize incidents based on their potential impact to trading, portfolio management, and P&L. When an issue cannot be resolved directly, identify the appropriate engineering, quantitative, or infrastructure team, and escalate with a clear, reproducible diagnosis that accelerates issue resolution. Work closely with Engineering and Product Management teams to identify recurring problems and drive strategic technology solutions. Develop tools and scripts in Python to automate diagnostics, investigate issues, analyze data, and improve workflows. Build a strong understanding of the firm’s trading and risk infrastructure and the dependencies between systems and underlying services. Qualifications Deep knowledge of financial products (cash instruments, futures, swaps, options) and markets, backed by strong technical skills. Previous experience in trade support, trading technology, production support, or a closely related role within a production trading environment – supporting multiple desks and/or asset classes. Ability to write Python and SQL to investigate issues, automate diagnostics, and query and reconcile data across systems. Familiarity with production diagnostic tooling (log aggregation, dashboards, monitoring, alerting). Strong analytical and problem-solving skills; able to methodically narrow down the source of an issue. Ability to communicate effectively with a varied audience, including portfolio managers, traders, quantitative researchers, engineers, and product managers. Who We’re Looking For The ideal candidate combines strong market and product knowledge with technical depth and is commercially aware and comfortable operating at the intersection of trading and technology. You should be able to take an instruction like “ my risk numbers look wrong ” and work through it independently by understanding what the front office is trying to do, investigating the relevant systems and services, determining where the failure is occurring, and either resolving it or routing it to the appropriate team with a clear diagnosis. This is not a role where success is measured by closing support tickets.  We are looking for someone who understands the trading domain, can solve problems, and can build strong relationships with the people running the firm’s trading strategies. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-DW1

Location: San Francisco, CA | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust 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 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have a strong interest in LLM serving; prior inference or ML experience is not required Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Thrive in cross-functional collaboration with both internal teams and external partners Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications LLM inference optimization, batching, and caching strategies Capacity-constrained scheduling or shared-resource test infrastructure Solid understanding of multi-region deployments, request routing, load balancing, global traffic management Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service Proficiency in Python or Rust 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 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.