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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 Halter is flipping the livestock world on its head. We're scaling fast across NZ, Aus, and the US, lining up multiple new international markets, and the stakes are high. We are looking for a Senior Hardware Test Engineer to be a technical cornerstone of our Test Engineering pillar within the broader Product Reliability Function. Our collar is tough and built for the beating it takes day in and day out on a farm, but it can always be tougher. We've iterated it to this point and learnt many tough lessons along the way. We need someone who can design and execute automated tests across 100's of samples, that turn assumptions into evidence; someone who brings rigour, creativity, and speed to every challenge they take on. Our devices face demanding field conditions at incredible scale. We'll be the first virtual fencing company ever with 1 million devices live, and with some customers deploying thousands of units per herd, our testing must be comprehensive, automated and traceable back to product requirements on top of accounting for every edge case to guarantee reliability. Hardware is only getting more important strategically for Halter, and you'll be right at the core, making that happen. It's a rare opportunity to accelerate your career with unique and valuable experience in a high-performance, fast-paced environment where product reliability matters most and test automation, repeatability and traceability are your tools. This role reports to our Hardware Test Engineering Manager and sits within the Product Reliability Function. You'll be the person who owns the test strategy and test infrastructure, builds the tests, builds the rigs, analyses the data, and delivers the evidence that drives confident product decisions. WHAT YOU'LL OWN Your work produces the evidence that decides whether we ship, whether we hold, and what we fix next. You'll operate with a high degree of autonomy across test design, execution, and infrastructure. Design, build, and run tests that matter: - Own and execute the test automation strategy and overarching infrastructure (likely in Python or Teststand) - Design and execute environmental, reliability, verification and validations tests across electromechanical sub-systems and full product assemblies: HALT, UV exposure, tumble, impact, thermal cycling, ingress, and more. - Own tests end-to-end: from interpreting product requirements and writing test plans through to execution, analysis, and delivering clear pass/fail evidence. - Identify gaps in requirements or test coverage and propose new methods or approaches to close them. Build and maintain test infrastructure: - Design and build bespoke test rigs, fixtures, and automation that makes testing faster, more repeatable, more reproducible and less manual. - Own, maintain and integrate environmental chambers, DAQ systems, RF systems and other equipment into the test automation infrastructure, ensuring the infrastructure is always calibrated and up to a high standard. - Continuously raise the bar on test and data throughput without compromising evidential quality or repeatability. Deliver decision-grade data: - Ensure every test produces data that is trustworthy, traceable, and actionable—not just raw numbers, but clear evidence that links back to requirements or risks that engineering leadership can rely on for go/no-go decisions. - Maintain strong test governance practices: calibration records, equipment versioning, code versioning, procedure versioning, and full traceability. - Present findings clearly to cross-functional stakeholders, turning complex results into crisp recommendations. Collaborate across engineering: - Partner closely with Reliability Engineering, Hardware Design, Firmware, and Production to ensure quality testing approaches are embedded early in the development cycle, not bolted on at the end. - Work with Reliability Engineers to translate reliability requirements and product requirements into robust, efficient and scaleable test plans. - Contribute to a culture of evidence over opinions—where "reliable" and "quality" means "proven," NOT "seems fine." WHAT SUCCESS LOOKS LIKE - Tests you design and run are repeatable, well-documented, and trusted across the organisation. - Your evidence directly enables Halter to ship with confidence, driven by data rather than hope. - Test infrastructure you build scales with the team—others can pick up your rigs, procedures, and methods and run with them. - Reliability and Quality improves with every release, and your work is a key reason why. WHAT WE'RE LOOKING FOR You're a hands-on engineer who builds things that work - Significant experience in hardware test engineering or validation in high-reliability environments (IoT, ruggedised consumer electronics, automotive, aerospace, industrial, robotics, or similar). - You've designed and run environmental and reliability tests, and you understand the science behind the stress methods, not just the procedures. You know the tools and the reality - Strong experience at building a scalable and automated test infrastructure - Strong experience with environmental testing, accelerated life testing, and reliability stress methods such as HALT/UV/Tumble/Impact etc. - Proven ability to design and build bespoke test jigs, fixtures, instrumentation, DAQ systems, and automation. - Solid calibration discipline and an instinct for where precision matters versus where "good enough" is actually good enough. - Comfortable with data analysis, automate reporting and able to draw clear conclusions and value from test results. You operate with ownership and clarity - You take end-to-end ownership of your work and hold yourself to a high standard. - You communicate clearly—your test reports, presentations, and recommendations are easy to act on. - You thrive in cross-functional environments and collaborate with high standards and low ego. 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: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com Mattermost is hiring a GRC Manager to own and modernize our governance, risk, and compliance program across both federal and commercial markets. This is a program-ownership role for someone who brings a modern, engineering-led approach to compliance — harnessing GRC engineering and AI to reduce manual effort and scale our programs. You will own Mattermost's compliance posture end to end, accountable for our federal readiness and commercial certifications, and you will modernize how we run them: automated, continuously monitored, and AI-native. You will do the hands-on compliance work while coordinating across internal stakeholders in engineering, infrastructure, and IT who implement controls, the external auditors who assess them, and the customers whose trust rests on the outcome. As the program scales, you will grow and lead the team behind it. What You'll Do Own and modernize Mattermost's compliance programs across federal and commercial markets Lead readiness, certification, and surveillance cycles across both programs Operate the risk management program end to end — from identification and assessment through treatment and acceptance Own the third-party and vendor risk management program, including security assessments and supply chain risk Apply GRC engineering and automation to replace manual evidence collection with continuous controls monitoring Build AI-native workflows to accelerate and improve the quality of recurring compliance work Maintain the control library, system security plans, POA&Ms, and policies Coordinate external audits from scoping through remediation Accelerate deal cycles by owning customer security questionnaires, trust center content, and reusable compliance artifacts Grow and lead the GRC team as the program scales What We're Looking For Bachelor's degree in computer science, information security, or related field — or significant professional GRC and compliance experience Proven senior-level experience in governance, risk, and compliance, security compliance, or IT audit, including direct ownership of a certification or authorization program Experience with U.S. Federal standards including CMMC and NIST series (800-171 / 800-53) Experience with ISO 27001 and SOC 2 Type II Experience operating a formal risk management program Experience running a third-party and vendor risk management program Experience owning customer-facing security assurance, including security questionnaires and trust center content Working knowledge of security controls for cloud environments (AWS, GCP, and/or Azure) Excellent written and verbal communication skills Nice to Have Professional GRC certifications such as CISA, CRISC, CISM, CISSP, or CIPP Experience working with AI platforms such as Claude, OpenAI, or Gemini Experience with compliance automation tooling such as Vanta or Drata, and continuous controls monitoring Direct experience applying AI or LLM-based workflows to GRC tasks Proficiency in no-code automation or scripting languages Past success in critical infrastructure industries including defense, cybersecurity, communications, or manufacturing How Success Is Measured CMMC Level 2 gap assessment and readiness roadmap delivered within first 90 days SOC 2 Type II and ISO 27001 audit cycles completed on time without slippage Manual evidence collection replaced with automated, continuously monitored controls Customer security questionnaires and trust center content maintained to unblock deal cycles GRC team grown and operating as a scalable, program-driven function Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration AI-forward environment: We actively adopt and build AI-enabled workflows — you'll work with and on cutting-edge tooling Unique scope: Own the compliance program end to end across both federal and commercial markets at a high-growth Series B company Target Salary Range: $139,254-$168,318 Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives.  WHOOP is looking for a Senior Mechanical Engineer to lead critical design, validation, and development for next generation biometric wearable products. You are a proactive, highly organized engineer with strong problem-solving skills and a sharp eye for detail. You thrive in a fast-paced, execution-driven setting and can drive creative mechanical design solutions with independence and sound technical judgement. You will mentor junior mechanical engineers and collaborate with cross-functional stakeholders (Electrical Engineering, Embedded Engineering, Manufacturing, Product, and Program Management). You will work closely with our suppliers and contract manufacturers around the world to execute engineering validation builds with a focus on high quality deliverables, sharp engineering risk management, clear technical communication upwards and externally, and commitment to product excellence. WHOOP operates with urgency because our mission demands it. We build products for people who push their limits—and we hold ourselves to the same standard. If you’re energized by complex challenges, cross-functional collaboration, and the opportunity to ship hardware at scale, this role will push you—and reward you. RESPONSIBILITIES: - Complete technical ownership (at subsystem and component level) of a next generation product  from design concept to manufacturing release - Lead mechanical design, analysis and development of mechanical components around micro-electronics, and exact industrial design specifications, product requirements, and manufacturing constraints.  - Create SolidWorks CAD models to bring up design concepts that enable simulation exercises, prototyping, and mass production qualification  - Generate technical documentation such as 3D files, 2D drawings, bills of material (BOM’s), and Engineering Change Orders (ECO’s) following product development cycle timeline - Communicate engineering changes to vendors and contract manufacturers as the product development cycle progresses  - Design testing protocols and validation plans, managing testing processes - Perform thorough engineering root cause analyses to identify and resolve issues - Mentorship, engineering best practices - Willingness to travel internationally up to 20% of the time QUALIFICATIONS: - BS or MS in Mechanical Engineering or a related field - 4+ years of experience in the design, documentation and validation of complex mechanical parts for medium to high volume consumer electronics - 4+ years SolidWorks CAD experience with best practices for part design/ feature architecture, advanced assemblies, complex configuration management and integrating DFx feedback efficiently - 2+ years working with Tier 1 and 2 contract manufacturers in Asia and North America - Extensive experience in mechanical design concepts and the manufacture of products utilizing high volume, automated manufacturing processes as well as manual assembly - Well-versed in design, prototyping, and evaluation of advanced injection molded plastic components, die castings, metal injection molding, packaging, and material selection - Strong organization and communication skills and the ability to work well within teams in a fast-paced environment This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Paris; London Workplace: Hybrid TL;DR: We are looking for several ML Engineers to train, post-train, and evaluate the LLMs at the core of our platform. This is hands-on modern model training work: large-scale data pipelines, SFT/RLHF/DPO-style alignment, reward models, distributed multi-GPU training, and evaluation. About us White Circle http://whitecircle.com is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. - We’ve recently raised our Series A funding round, taking our total funding to $70M. Our investors include top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others - We process over 100M+ API calls every month - We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model We’re a small, highly focused team. If you want to work deeply on hard problems, see your work ship to production quickly, and influence how AI safety is actually built – you’re the one we need.   What you’ll do - Turn petabytes of unstructured text into a structured, explorable view (topics, clusters, segments, trends, anomalies): iterate from “unknown unknowns” to stable definitions we can track. - Build scalable representation pipelines: sampling strategies, preprocessing/normalization, embeddings at scale, indexing, and retrieval to make the corpus searchable and analyzable. - Use LLMs pragmatically: labeling/classification, weak supervision, data enrichment, summarization, and automated diagnostics of inbound volumes (with cost/quality controls). - Deliver insights that change decisions: translate findings into product and operational actions (what data we have, what’s missing, where quality breaks, what to prioritize next). - Ship self-serve analytics: datasets, data models, and lightweight tools/dashboards so the team can explore and answer questions without ad-hoc requests. - Partner closely with engineering/research: align pipelines with production constraints (latency/cost/privacy), and integrate outputs into workflows. You'll fit right in if you - Have strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks. - Have solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. - Are comfortable at scale: distributed processing, large-scale storage-querying, and performance-cost tradeoffs. - Know how to evaluate fuzzy problems: offline/online metrics, human-in-the-loop labelling, inter-annotator agreement, drift monitoring, and reproducibility. - Have prior work with safety/moderation datasets, policy/rule systems, or high-volume logging/observability A big plus - A public builder footprint: open-source models, datasets, or training frameworks on HuggingFace/GitHub, benchmarks, papers (workshop or main conference), or technical posts with real usage - Experience training models at a frontier or near-frontier lab, or leading open-source model releases with documented adoption - Experience with RL methods for LLMs beyond standard RLHF: online RL, GRPO-style methods, or novel alignment approaches - Experience with moderation, safety, or classification models at scale - Multilingual model training experience Compensation & benefits - Competitive compensation, including equity - Flexible time off - Office in central London/Paris with flexible hybrid setup - Relocation support if you’re moving to Paris, available after your probationary period - Premium private health insurance - Mental health support, including coverage for therapy when you need it - Lunch and dinner covered when you work from the office - Learning and development support for courses, conferences, and opportunities to grow your skills - All the hardware, subscriptions, tools, and services you need - Team off-sites twice a year: we’ve recently been to the Alps, Saint-Tropez, and Marbella Process 1. Intro call with Talent Team 2. Test assignment 3. Technical interview with Head of Applied Research 4. Final conversation with CEO

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX - Hybrid About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for a visionary and hands-on Lead Machine Learning Engineer to join our Austin team. In this role, you will be the principal architect behind the next generation of our unified AI/ML platform, designing and building the infrastructure that powers everything from traditional predictive models to generative AI, large language models (LLMs), and autonomous agent frameworks. You will own the end-to-end technical strategy, blueprint, and execution of scalable backend services and data pipelines that support AI-driven applications across go-to-market, engineering, and product teams. Because our products are initiated and owned entirely within the team, you will drive the vision from initial requirements and system design to global deployment, optimization, and long-term evolutionary ownership. What you'll do Architect and evolve a highly scalable, multi-tenant AI/ML platform that seamlessly unifies traditional ML (classification, regression, forecasting) and Generative AI/LLM orchestration. Design and implement robust production-grade AI Agents and Advanced Chatbots. Build reliable execution environments for Multi-Agent Systems, including state management, long-term memory architectures, and Model Context Protocol (MCP) server integrations. Build high-throughput, low-latency application backends and orchestration layers. Partner closely with data, platform, and full-stack engineers to ensure seamless feature delivery and reliable production operations. Act as a technical anchor for the Data Science team – enforcing rigorous engineering standards, leading design and security reviews, evaluating build-vs-buy decisions, and mapping business requirements to robust technical designs. Evaluate trade-offs and drive adoption of modern AI infrastructure tools, optimized embedding pipelines, vector databases, and serverless compute paradigms (such as Workers AI).\ Must-Have Skills Extensive experience as a Senior or Lead ML Engineer, with a proven track record of architecting and operating production-grade ML platforms, services  and distributed backends. Strong competency in Traditional ML lifecycles (feature stores, training pipelines, model monitoring) alongside deep experience in Generative AI patterns (RAG pipelines, context engineering, fine-tuning, guardrailing, and agentic AI systems). Mastery of Python and robust experience with modern backend ecosystems. Familiarity with (or willingness to collaborate on) full-stack technologies like React and TypeScript is highly valued. A builder's mindset. You are comfortable navigating ambiguity, shaping your own technical roadmap, adapt as needed and taking extreme ownership of system reliability, costs, and model performance. Nice-to-Have Skills Technical Leadership & Systems Architecture 3+ years of dedicated ML Engineering experience within a large-scale, enterprise environment (handling petabyte-scale data and working across globally distributed teams). Proven ability to architect, scale, and secure reliable, highly observable distributed systems, with a track record of leveling up platform foundations. Experience mentoring engineers, leading by example through high-quality code and rigorous design reviews, and fostering a culture of technical excellence. Strong problem-solving skills with a demonstrated ability to independently drive complex projects through ambiguous spaces and collaborate cross-functionally with data engineers, full-stack teams, and analysts. AI, LLMOps & Agentic Engineering Hands-on proficiency in building production-grade GenAI applications and multi-agent systems using advanced LLM frameworks like LangGraph, LangChain, or Autogen. Deep understanding of agent harness primitives, state management, memory architectures, and tool-calling loop mechanics. Experience establishing LLMOps foundations, including automated prompt tracking, LLM evaluation pipelines (e.g., Ragas, TruLens), vector database optimization, context/token management, and real-time guardrailing/moderation layers. Deep experience in scientific computing using Python (Scikit-Learn, PyTorch, or TensorFlow) and deploying traditional systems for end-to-end training, batch/real-time inference, and model observability. Infrastructure, Cloud & Data Platforms Strong experience with Docker and Kubernetes for containerization and orchestration, alongside Infrastructure-as-Code tools like Terraform and public cloud ecosystems (GCP, AWS, or Azure). Hands-on experience with modern MLOps platform tools (e.g., Airflow, Argo Workflows, ArgoCD) and data systems including BigQuery, Postgres, and robust ETL/ELT practices. Experience with full-stack web technologies and serverless/edge environments (FastAPI, TypeScript/JavaScript, Cloudflare Workers), with the agility to contribute across a multi-language stack. Strong foundation in continuous integration/continuous deployment (CI/CD), testing frameworks (Pytest), and robust version control practices. Education & Communication M.S. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. Exceptional written and verbal communication skills, with the ability to translate complex technical architectures into clear concepts for both engineering peers and business stakeholders. Equity This role is eligible to participate in Cloudflare's equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

MDiet — early-stage HealthTech стартап, разрабатывающий AI-powered платформу, которая помогает снижать количество повторных госпитализаций пациентов. Продукт ориентирован на рынок здравоохранения США. Возможна релокация в США при успешном росте компании, обсуждается индивидуально. Tech Stack: • LangGraph + LangChain / Agentic AI • vLLM + Hugging Face • PyTorch + PEFT / LoRA / QLoRA • Vector databases: pgvector, Qdrant, Weaviate, Chroma, Pinecone • Advanced RAG, Prompt Engineering, Embeddings • FastAPI + PostgreSQL • Docker + Kubernetes + async processing: Arq / Celery / Redis Streams • Apache Airflow для data pipelines • AWS Cloud: EC2, S3, SageMaker, Lambda, RDS, Bedrock • Structured output: Outlines / Guidance / Instructor • Evaluation & observability: Langfuse, RAGAS / DeepEval, Prometheus + Grafana • MLOps practices Задачи: • Проектирование и разработка multi-step LLM agents и pipelines для обработки медицинских данных • Разработка production RAG-систем с высоким уровнем grounding и качеством citation • Деплой и оптимизация self-hosted LLM inference через vLLM с фокусом на cost и throughput optimization • Fine-tuning open-source моделей на domain-specific medical data с измеримым улучшением результата • Построение data pipelines и versioning для документов, embeddings и training data • Создание evaluation frameworks, guardrails и систем контроля hallucinations • Реализация reliable structured output и data extraction • Тесное взаимодействие с physicians и Platform Architect Требования: • Сильный hands-on опыт с production LLM systems: RAG, agents, inference • Опыт fine-tuning open-source LLMs: LoRA / QLoRA / PEFT, с измеримыми результатами • Опыт построения data pipelines и versioning для LLM / RAG workloads • Сильные навыки в evaluation, hallucination reduction и structured output • Production Python + FastAPI + async processing • Опыт с self-hosted inference: vLLM или аналогичные решения • Опыт GPU optimization • Английский язык на уровне C1: strong written and spoken communication skills • Bachelor’s degree или выше в Computer Science, Artificial Intelligence, Machine Learning, Data Science или смежной технической области • 5+ лет опыта в ML/AI • 1.5–2+ года опыта в production LLM projects • Опыт с MLOps Будет плюсом: • Опыт в medical / clinical NLP или regulated domains • Cost modeling и optimization of LLM workloads • MLOps и production fine-tuning pipelines • Apache Airflow, Prometheus / Grafana или AI Solution Architecture • Publications in relevant fields Условия: • Работа в early-stage HealthTech startup с продуктом для US healthcare market • Возможность участвовать в создании AI-powered платформы с реальным влиянием на healthcare-процессы • Офисный формат в Астане первые 7–9 месяцев, далее возможен hybrid/remote • Зарплата $4 000 – $5 000 USD gross + equity • Возможность релокации в США при успешном росте компании, обсуждается индивидуально

Location: Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Key Responsibilities 1. Recommendation Engine & Full-Pipeline Development Multi-stage Engine Development: Own the development and refactoring of high-concurrency, low-latency recommendation serving engines, powering the full pipeline of multi-channel recall (two-tower/collaborative filtering/ANN vector retrieval) → coarse ranking → fine ranking → re-ranking. Compute Tiering & Strategy Engine: Implement dynamic compute trimming and degradation mechanisms for dynamic Ul personalization and global strategy dispatch, ensuring core engine stability under extreme traffic spikes. 2. Real-time Feature Engineering & Data Consistency Governance Real-time Feature Pipeline: Build high-throughput, low-latency real-time feature streams on Kafka/Flink, enabling minute-level/second-level user pehavioral feature updates and dynamic sliding-window aggregations. Feature Store: Contribute to the development of unified online/offline feature storage with stream-batch convergence architecture; deeply govern industrial-grade pain points such as "online/offline feature inconsistency" and "feature time-travel leakage," systematically improving online/offline feature consistency. 3. Large-scale Retrieval & Vector Infrastructure Optimization Vector Retrieval System: Own the construction and optimization of large-scale vector retrieval systems (Faiss/Milvus/NSW) supporting candidate pools from tens of thousands to milions, lead index structure parameter tuning, achieving P99 retrieval latency < 100ms. Multi-source Heterogeneous Indexing: Build unified Embedding Pipelines and high-performance inverted index services covering trading products, news, KOL content, on-chain signals, and other heterogeneous data sources. 4. High-performance Model Inference & Compute Optimization Deep Model Engineering: Own high-performance online deployment and operator optimization of complex deep ranking models (e.g., DIN/SIM sequential models, MMoE/PLE multi-objective deep models). Inference Graph & Compute Governance: Solve compute explosion in multi-task/multi-objective online inference through inference optimization (quantization, graph optimization, batching strategies) - targeting fine-ranking P99 latency < 200ms. 5. System Performance, Global Observability & Experimentation Infrastructure High Availability & SLO: Ensure global recommendation service P99 latency < 200ms and system availability > 99.9%; write comprehensive overload protection, thread isolation, and disaster recovery degradation code. Global Distributed Tracing: In complex multi-region/multi-site/multi-language cross-border IDC environments, build and maintain end-to-end distributed tracing and monitoring systems (e.g.,Jaeger/Prometheus), establishing minute-level root cause attribution and fault localization mechanisms. Experimentation Platform Engineering: Contribute to A/B experiment traffic-splitting platform upgrades, engineering CUPED variance reduction and sequential testing mechanisms to reduce sample size requirements and accelerate algorithm iteration pipelines. Requirements Industrial-grade Hands-on Experience: 5+ years of recommendation system engineering at consumer-scale internet companies; must have deeply participated in or led architecture refactoring or launches of realtime recommendation systems serving tens of millions of users at scale. Proven experience building recommendation systems from 0→1 (not just maintaining mature systems) is strongly preferred. Mastery of Engineering Foundations: Exceptionally solid low-level CS fundamentals; proficient in at least one of Go/Java/C++ (Go preferred given current stack; C++ experience a plus for future engine optimization); familiar with PyTorch/TensorFlow model online inference and deployment optimization. Deep Expertise in Big Data & Retrieval: Hands-on with Spark/Flink/Kafka stack, with real experience solving stream computing latency and data backlog issues; proficient in Milvus/Faiss cluster deployment and tuning. Engineering Perspective on Algorithms: Deep understanding of computational complexity and online bottlenecks of core algorithms (collaborative filtering, two-tower recall, multi-objective optimization MMoE/PLE); ability to interface smoothly with algorithm teams for high-quality, efficient engineering translation. Excellent System Design Capability: Proven experience in actual development and core module design of recommendation platforms, feature platforms, experimentation platforms, or high-performance RPC frameworks at top-tier companies. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: UK, London; US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Principal Product Cybersecurity Assurance Engineer with deep expertise in product security, threat modelling, and risk assurance for highly regulated electromechanical systems. In this role, you will lead the delivery of product cybersecurity across Humanoid's HMND 01 platform family — the Alpha Wheeled industrial robot and the Alpha Bipedal home robot — both powered by our KinetIQ VLM/VLA-based AI framework. Working alongside product, firmware, autonomy, and hardware teams as part of the Systems Engineering and Architecture Team, you will define and maintain the cybersecurity assurance strategy for all product security activities from first concept through post-market deployment. Security at Humanoid is an engineering discipline inseparable from functional safety and central to our mission of creating the world's most reliable, commercially scalable, and safe humanoid robots. To excel in this position, you must demonstrate the authority to influence security architecture decisions across complex, cross-functional programmes, the rigour to build defensible security cases for novel cyber-physical systems, and the leadership to grow and guide a cross team of security engineers operating at the frontier of robotics. WHAT YOU'LL DO - Team Leadership & Product Security Delivery - Lead and develop a cross-functional team of security engineers, maintaining accountability for the delivery of product security services within product teams throughout the HMND 01 development lifecycle. - Define product security requirements and advise development teams on suitable implementation standards, techniques, and toolchains for embedded and AI-enabled robotic systems. - Partner with cross-functional teams to develop security protocols, tools, and processes that keep HMND 01 technologies ahead of emerging threats — including attack surfaces specific to the KinetIQ AI inference pipeline and cloud-to-robot communication architecture. - Own and maintain key security artefacts for audit-ready cybersecurity documentation including Security Management Plans, Threat Analysis and Risk Assessment (TARA) reports, Risk Assessments, and Remediation Action Plans across both platforms. Security Assurance & Certification - Drive security assurance through the full product lifecycle, ensuring every HMND 01 design is robust, compliant, and resilient. Contribute to the continual improvement of security engineering capability across the organisation. - Ensure compliance with cybersecurity obligations under the EU Machinery Regulation 2023/1230 where cyber controls intersect with safety-critical functions and compliance to IEC 62443 (for industrial/OT product security), and the EU Cyber Resilience Act. - Provide independent Information Assurance (IA) reviews and risk assessments on complex, high-impact projects — with particular focus on cyber-physical systems where a digital compromise could result in physical harm to operators or end users. - Review and provide guidance on security risk assessments, risk mitigation plans, mitigation gap analysis, and security management documentation in support of system cybersecurity certification. Incident Response & Lifecycle Security - Establish and maintain a Product Security Incident Response (PSIR) process, encompassing coordinated vulnerability disclosure, patch deployment pipelines, and post-field incident analysis. - Define and oversee security monitoring requirements for deployed fleets, ensuring field data feeds back into risk files and security artefacts in line with post-market surveillance obligations. Commercial & Bid Support - Support the production of work package descriptions and cost estimates for product bids, services, and proposals that include product security scope. - Represent Humanoid's security posture in customer and partner engagements, including regulatory consultations and certification body interactions. WHAT WE'RE LOOKING FOR - Proven, hands-on experience with ISO 27001/27004/27005 and the NIST Risk Management Framework (RMF), applied to regulated hardware or embedded product programmes. - Experience owning a security risk management system for highly regulated, safety-critical products — with background drawn from automotive, commercial vehicle, or industrial automation environments. - Working knowledge of IEC 62443, with the ability to adapt ISO/SAE 21434 lifecycle methodologies to robotic or electromechanical product context. - Solid understanding of engineering development lifecycles and how the product cybersecurity specialism aligns with systems engineering, functional safety, and hardware/software co-development. - Ability to interpret Penetration Test reports and author Remediation Action Plans that address identified vulnerabilities in a structured, risk-prioritised manner. - Clear, structured communication skills — able to articulate complex security risk arguments to both technical engineers and executive stakeholders with equal confidence. Preferred: - Familiarity with Threat Analysis and Risk Assessment (TARA) or equivalent threat modelling methodologies (STRIDE, PASTA) applied to embedded or OT/IT convergent systems. - Understanding of secure-by-design principles for AI/ML-enabled systems, including securing inference pipelines, model integrity, and cloud-to-edge communication paths. - Exposure to CAN bus, Ethernet backbone, or wireless interface security in mobile, vehicular, or robotic systems. - Experience contributing to or establishing a Product Security Incident Response (PSIRT) process or coordinated vulnerability disclosure programme. - Knowledge of UL 4600, UL 3300, or ISO 13482 and an appreciation of how cybersecurity evidence integrates into safety case arguments. - Prior engagement with certification bodies (TUV, UL, BSI) or standards development organisations (ISO TC 184, IEC TC 65, SAE, IEEE RAS). WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: Seoul About the Role Cloudflare’s Forward Deployed Engineer (FDE) program (Or Professional Services Engineer) provides customers with a dedicated, hands-on technical expert embedded directly within their environment. This is not a traditional support or purely advisory engagement—it is a staff-augmentation model where you act as an extension of the customer’s team, taking the lead in managing, optimizing, and evolving their Cloudflare solutions. As a Forward Deployed Engineer, you are a recognized subject-matter expert in your specialization and a trusted advisor to both the customer and Cloudflare leadership. You will own the most complex, high-stakes customer engagements, and contribute to the evolution of Cloudflare's service methodologies and offerings. You operate with a high degree of autonomy, make architectural decisions that impact mission-critical infrastructure, and partner with executive stakeholders to align technical outcomes with business objectives. This role is ideal for senior technologists who have a proven track record of owning end-to-end customer transformations, leading through influence, and scaling expertise across teams. What You Will Do Embed & Integrate Become a trusted, embedded member of the customer’s technical team, operating within their tools, processes, and change-management frameworks. Follow the customer’s change-management process for all hands-on modifications, ensuring risk mitigation and operational continuity. Hands-On Execution Design, configure, and optimize Cloudflare solutions directly within the customer environment. Implement changes, build prototypes, develop automation scripts, and troubleshoot issues in real time. Strategic Advisory & Architecture Provide proactive architectural guidance, roadmap alignment, and best-practice recommendations. Produce Solution Designs, HLDs, LLDs, databuilds, procedures, test plans, deployment plans, migration plans, as-builts, and other artifacts necessary for delivery and smooth handoff. Workshops & Knowledge Transfer Lead technical workshops, knowledge-transfer sessions, and special-event preparation (e.g., product launches, traffic events, security drills, quarterly business reviews). Ensure continuity by documenting decisions, runbooks, and configurations in the customer’s collaborative workspace. Customer Advocacy & Liaison Act as the voice of the customer within Cloudflare, surfacing product gaps, feature requests, and escalation items to Engineering, Support, and Product. Partner closely with the Account Executive, Solutions Engineer, Customer Success Manager, Delivery Leaders and other stakeholders to align on account strategy and expansion opportunities. Experience & Skills Core Requirements 15+ years of experience in a customer-facing technical role. Recognized Expertise in one of the following focus areas with a proven track record of leading complex, enterprise-scale engagements: Applications — Advanced tuning of WAF, Bot Management, API Gateway, DDoS protection, Rate Limiting, and performance optimization for global web properties. Experience designing security architectures for large-scale, multi-zone deployments. Network — Hands-on management of Magic Transit, BYOIP, complex L3/L4 routing, DDoS resilience, and low-latency global connectivity design. Experience with network transformations and MPLS/SD-WAN migrations. Leadership & Mentorship — Demonstrated experience mentoring junior team members, leading technical workshops, and contributing to the development of service methodologies, best practices, and reusable assets. Strong Networking Foundation — Expert-level understanding of the OSI model, TCP/IP, TLS, DNS, and HTTP. Hands-On Technical Skills — Demonstrated ability to implement, configure, and troubleshoot complex solutions. Experience with infrastructure-as-code tools (e.g., Terraform) and scripting (e.g., Python, JavaScript, Bash) is highly desirable. Project & Program Management — Ability to manage multiple competing priorities, work to deadlines, and deliver results in ambiguous or fast-moving environments. Experience scoping and estimating complex engagements. Communication & Executive Presence — Exceptional verbal and written communication skills. Ability to translate complex technical concepts for both technical and executive audience Regional Experience — Experience working with enterprise customers in APJC, ideally within Korea. Understanding of regional compliance requirements, business culture, and technical ecosystems. Preferred Qualifications Experience in heavily regulated industries (Public Sector, Financial Services, Healthcare) or complex legacy-migration environments. Relevant industry certifications: CISSP, CCIE, AWS, GCP, Azure certifications, or equivalent. Familiarity with Agile methodologies and enterprise change-management processes. Prior experience with Cloudflare’s product suite and edge-network ecosystem. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA, USA About the Role Chime serves millions of members on a mission to help them unlock financial progress. Growth Engineering builds the product surfaces and systems that turn that mission into measurable outcomes for members — running fast, data-informed experiments to acquire, activate, and deepen member relationships at scale. This role sits on our Early Stage Experience area, focused on the beginning of the member journey — the first experiences that turn new sign-ups into engaged, active members. It's high-volume, high-stakes work where small improvements compound, and the systems behind it have to be both quick to experiment on and dependable at scale. As a Staff Software Engineer, you'll operate as a subject matter expert and technical leader across the Growth stack. You'll shape the architecture and technical strategy for high-traffic, member-facing systems, influence product direction, and drive cross-team initiatives that measurably move growth outcomes while raising the engineering bar across the org. You will leverage the capabilities of AI and LLMs to improve the productivity of the org, personalize member experience and speed up decision making. In this role, you can expect to Lead the design and implementation of high-impact, member-facing systems across the Growth stack Set the technical vision for high-traffic systems with a scalable, forward-looking approach that meets Chime's reliability and latency standards Drive experimentation strategy and execution by building the systems and habits to test, learn, and iterate quickly — without sacrificing durability Identify and solve systemic challenges in performance, availability, and conversion-critical reliability across the Growth stack Collaborate closely with Product, Design, Analytics, and Data to shape product direction and ensure technical feasibility and excellence Mentor senior engineers, elevate engineering practices, and drive consistency in quality, architecture, and code craftsmanship across teams Represent Chime externally through recruiting, open source, technical talks, or community engagement To thrive in this role, you have 10+ years of experience in software engineering Deep understanding of system design, service boundaries, and product-engineering tradeoffs, especially in high-traffic consumer systems A track record of driving measurable impact on business and engineering goals — ideally in growth, conversion, activation, or other consumer product problems Experience with experimentation: test design, instrumentation, analysis, and iterating on results Ability to influence technical and product direction across teams and orgs, and to lead through influence rather than authority Strong communication and collaboration skills Experience working in a fast-paced, product-focused environment (Fintech experience is a plus) #LI-Onsite #LI-AC2 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $223,000 — $308,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Remote - Argentina; Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking an AI Workflow Engineer ! About the Role: Backblaze is running a company-wide AI transformation program, and this role is where strategy becomes something you can actually use. As AI Workflow Engineer, you will be the hands-on builder inside the AI Program Office - embedded alongside the Director, AI Enablement, and deployed into non-GTM, non-Engineering business teams to prototype, build, and ship AI-powered workflow solutions that make a measurable difference in how work gets done. This is not a research role or a strategy role. You will spend your time building: prompt architectures, automation flows, lightweight agents, API integrations, and demos that help a business team see - concretely - what AI can do for them. You will move across functions, which means you need to understand how businesses actually operate. The ideal background is someone who started in a business-facing role - finance, operations, marketing, customer success, HR - and developed serious hands-on AI and automation skills on top of that foundation. You will work closely with the Director, AI Enablement, who owns the program management and delivery layer. Your job is to make their scoped solutions real - fast, iteratively, and with enough rigor that what you build can go to production. What You Will Do: Build and Ship AI Workflow Solutions Take scoped use cases from the Director, AI Enablement and build working solutions: prompt layers, automation flows, lightweight agents, RAG implementations, and API integrations that connect AI tools to the systems business teams already use Build working prototypes quickly - the goal is to show a team what is possible in days, not weeks, then refine based on what actually lands Translate a documented workflow assessment into a technical design, select the right tools for the job, and own the build through to a deployable solution Maintain solution documentation that is clear enough for handoff, iteration, and audit - not just for engineers, but for the business owner who will live with it Embed in Business Teams Spend time inside the functions you are building for - Finance, HR, Legal, Marketing Ops, Customer Success, and others - understanding how the work actually flows before you redesign it Run working sessions with team members to map current-state workflows, surface friction points, and identify where AI creates real leverage versus where it creates noise Build credibility with non-technical stakeholders by showing them working solutions, not decks - and by being honest about what will and will not work Support user acceptance testing and early adoption, troubleshooting issues close to launch and iterating based on real usage Support the AI Program Office Build demos and proof-of-concepts that help the Director, AI Enablement make the case for a use case - or disqualify it early before resources are committed Contribute to vendor and tool evaluations with a builder's perspective: not just whether a tool claims to do something, but whether it actually works in the context of a specific workflow Feed learnings from the build process back into the program - what worked, what did not, what should be standardized across functions Work on tactical quick wins and longer-horizon strategic builds at the same time, switching contexts across active use cases as priorities shift What Success Looks Like (First 90 Days) You have completed at least one workflow assessment alongside the Director and produced a working prototype from it At least one solution you built is in active use by a business team, with a named owner and feedback loop in place You have worked inside at least two different business functions and understand their core workflows well enough to identify the next use case without being told The Director, AI Enablement trusts you to own the build layer independently - scoping conversations happen together, execution happens with you driving The Right Fit: 2-4 years of experience that includes meaningful time working inside a business-facing function - operations, finance, marketing, customer success, HR, or similar - not just in Engineering or IT Hands-on experience building with AI tools: prompt engineering, automation platforms (Make, Zapier, n8n, or equivalent), API integrations, and at least working familiarity with RAG architectures and agent frameworks Proven ability to take a messy real-world process, understand it from the inside, and build something that makes it faster or better - not just technically cleaner Comfortable working with non-technical stakeholders: you can explain what you are building without jargon, gather requirements without a formal spec, and manage expectations when a prototype needs three more iterations Strong enough with code or no-code tools to get solutions to a deployable state independently - you do not need an engineer to ship your work Able to manage multiple active projects at different stages without dropping anything - a quick win in HR this week does not mean the Finance automation waits Genuinely curious about how companies work: the org chart, the incentives, the handoffs, the bottlenecks. This is what separates a good AI builder from a great one in a business context Bonus Points For: Direct experience working in or closely with G&A, Finance, Legal, Marketing Ops, or Customer Success teams - you have lived in the workflows you will be redesigning Familiarity with AI governance basics: data handling, PII awareness, and when a use case needs a security or privacy review before it ships Experience working in a small program or startup environment where you wore multiple hats and shipped without a lot of process overhead Experience in cloud infrastructure, SaaS, or storage companies - comfort with technical products and the teams that build them A portfolio, GitHub, or examples of AI workflows or automations you have built - something you can show, not just describe At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice. #LATAM

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE We're hiring a Head of Brand to set the direction for how Ramp shows up in the world. The Brand team — ~10 designers, writers, motion designers, illustrators, and producers today — defines Ramp's identity across every surface our customers see: product launches, integrated campaigns, customer marketing, web, events, social, sales materials, and the product itself. We help the rest of the company move fast and ship beautifully by building the principles, systems, and standards that let us scale. You'll lead this team. You'll set the visual identity and the voice. You'll build the AI pipelines that turn everyone else at Ramp into a good Brand Designer. You'll report to our VP of Design and work directly with our Co-CEOs to shape the future of the company. You'll also partner closely with leaders across Marketing, Product, Growth, and Recruiting to define strategy and execute against key business priorities. We're looking for someone who's obsessed with five things: - Story. How we show up in the world. How we change the conversation around finance. Keeping our why and our customers at the center of everything we do. - AI. The systems that bake AI into every production capacity, until 90% of the cross-functional brand work is self-serve. - Operations. Predictable rails for a creative org that ships fast, cherishes feedback, and holds itself accountable — to designers and to partners. - Craft. Lead by making. Facilitate decisions. Evolve the brand. - People. Two jobs: build the system that develops and motivates the team we have, and partner with our people team to land the best designers in the world. Please note that this role will require you to be comfortable with working in-person at our NYC HQ (located near Madison Square Park) at least 3 days/week. WHAT YOU’LL DO - Set the direction for Ramp's brand—its identity, voice, and narrative—across product, marketing, recruiting, and every customer touchpoint. - Lead and grow the team. Recruit exceptional designers and help every member of the team do the best work of their career. - Build the AI layer for Brand. Create systems and tools that automate production work at scale and empower non-designers to create on-brand assets. - Build the operating system for Brand: briefs, intake, reviews, decision-making, and production. Make work move fast without sacrificing quality. - Partner with the Creative Directors across Growth, Demand Generation, and Customer Marketing to set strategy and uphold a high bar for execution. - Lead by making when it matters—concept development, art direction, brand identity, and creative direction. - Deliver 2–3 brand-defining initiatives each year that strengthen Ramp's reputation and attract world-class talent. - Partner closely with Design, Marketing, Product, and executive leadership to ensure the Ramp brand is cohesive across every experience. - Manage agencies, freelancers, and production partners to extend the team's capacity as needed. WHAT YOU NEED - 10+ years of experience in brand design and creative leadership, including at least 3 years leading a brand team at a high-growth technology company or top-tier agency. - A portfolio of brand work that shaped a company's reputation through identity systems, campaigns, or brand evolutions you led end-to-end. - A clear point of view on AI in creative production. You've shipped AI-assisted brand work, not just prototypes, and know what should be automated versus where human creativity matters most. - A track record of building and leading high-performing creative teams. You've hired exceptional designers, developed talent, and built teams that consistently deliver outstanding work. - Strong operational instincts. You've built scalable creative processes and can describe them clearly. - Exceptional craft across typography, color, layout, motion, and visual identity, with the ability to elevate the work of others. - A strategic mindset and strong creative judgment. You can give clear direction, make difficult decisions, and balance speed with quality. - Comfortable partnering with Marketing, Product, Recruiting, and executive leadership. Excellent written, verbal, and presentation skills. - Comfortable giving and receiving thoughtful, constructive feedback. - Kind, curious, generous, low ego, and a great sense of humor! BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Bengaluru, Karnataka, India Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the role Our customer-obsessed Customer Success team serves as the critical bridge between our customers and Cast AI, representing both the voice of the customer to Cast AI and the voice of Cast AI to the customer. The CS Team lives by the core values of being Smart, Humble, and Hungry. We value technical excellence, a collaborative mindset, and a strong drive to succeed. Cast AI is looking for a Technical Support Engineer with a robust Kubernetes troubleshooting and administration background. If you thrive in a fast-paced environment, enjoy the challenge of solving complex technical problems, and have a passion for cloud technologies, you could be the perfect fit for our team. Requirements : 3+ years of hands-on experience in Kubernetes administration and troubleshooting, including cluster management, networking, and storage. Strong Linux/Unix fundamentals and experience working in distributed, containerized environments. Experience with at least one major public cloud provider (AWS, Azure, GCP). Experience supporting customers in a SaaS or cloud-native environment. Exceptional problem-solving abilities and a passion for diagnosing and resolving complex technical issues. Strong written and verbal communication skills to interact with technical and non-technical stakeholders. A collaborative mindset, with the ability to drive cross-functional projects and align teams. Excellent English to support global customers; other languages are an advantage. Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Nice to Have: CKA or CKAD Certification Terraform Certification Cloud Architect Certification Responsibilities: Serve as the primary Cast AI subject matter expert, delivering deep technical guidance and authoritative support to customers. Collaborate closely with customers to troubleshoot and resolve complex technical issues, ensuring clear communication and effective problem-solving throughout the process. Own customer issues from intake through resolution, driving timely outcomes that minimize downtime and improve system performance and reliability using Cast AI. Document and share knowledge by contributing to internal knowledge bases, creating technical guides, and outlining best practices to support both customers and internal teams. Provide mentorship and support to junior team members, fostering skill development and contributing to a strong, knowledgeable team environment. Participate in an on-call rotation, delivering critical after-hours assistance to maintain high levels of customer satisfaction and trust. What’s in it for you? Competitive salary. Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Premium health insurance. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. What’s in it for you: Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Enjoy a flexible, hybrid work environment. Equity options. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: San Francisco, CA; Remote (US); New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE TEAM & ROLE Ramp's procurement product is changing how companies buy. We've built the fastest intake-to-pay platform on the market — 3x faster than traditional P2P workflows, with AI that automates sourcing, contract extraction, approval routing, and invoice matching in one place. Customers save an average of 16% on vendor spend annually and eliminate 46+ hours of manual purchasing work every month. As Manager of Procurement Activation, you're the person who makes that real at scale. You'll lead a team of Procurement Activation Specialists working with Mid-Market customers, typically 100 to 999 employees, $50M to $100M in revenue, from discovery and configuration through go-live. Where your ICs work directly with CFOs and controllers to redesign how individual companies buy, you're building the system that makes those implementations excellent, repeatable, and fast. 🎯 WHAT YOU'LL DO Lead & Develop the Team - Hire, onboard, and develop Procurement Activation Specialists; own their ramp from week one to full independence - Run structured 1:1s and coaching that moves ICs from reactive to proactive, and from execution to insight - Build a team culture where CSMs, AMs, and AEs don't just loop you in on escalations — they come to your team first, before things get complicated Define & Lead Strategy - Build the Procurement Activation playbook from the ground up: define what excellent looks like at every stage — discovery, configuration, customer education, go-live — and codify it so the team can execute it consistently and independently - Turn implementation patterns into structured product feedback Engineering and Product can act on. You're the bridge between what customers experience in the field and how the product gets better. - Partner with Sales, AM, and CSM leadership to define how procurement deals get handed off, scoped, and resourced — and own those standards across the organization Operationalize & Scale - Build the implementation process to survive growth: as Ramp's procurement product ships new capabilities and the customer base expands, you're ahead of what needs to change - Spot systemic blockers across implementations, drive resolution across functions. Product gaps, handoff failures, coverage issues. - Represent procurement activation in GTM planning, headcount conversations, and roadmap discussions. This team has a seat at the table because you've earned it! 🧠 WHAT YOU BRING - Procurement depth that earns the room: you understand procure-to-pay workflows, approval structures, ERP integrations, and vendor management well enough that a Controller or VP of Finance trusts your judgment on the first call. - Real people development experience: you've managed or closely mentored ICs and can point to specific moments where someone's skills or confidence visibly changed because of how you worked with them. Formal management tenure matters less than the quality of those examples. - Cross-functional influence without authority: you get alignment from people who don't report to you, communicate clearly at every level — AE, CSM, AM, VP — and hold your position when priorities compete - You've built something people actually use: a playbook, a training program, an escalation framework — something you created from scratch that outlasted your direct involvement and others adopted as their own - Writes and speaks with precision: you can walk a Controller through a procurement workflow and brief a VP on why an implementation is stalling, on the same day, in the same register of credibility 🌟 NICE TO HAVE - Experience in a customer-facing implementation or success role at a procurement software company (Coupa, Zip, Procurify, Stampli, Ivalua, or similar) or working in Procurement at a previous company. - Familiarity with AP automation, ERP integrations (NetSuite, QuickBooks), or invoice-to-payment workflows - Background in CS, implementation, or solutions consulting in B2B SaaS 🏆 WHAT SUCCESS LOOKS LIKE At 6 months: You're onboarding new hires on your own, making customer escalation calls without day-to-day guidance, and you've built a real reputation as the procurement authority inside Ramp. At 12 months: You're running independently and generating ideas that move procurement forward, not just executing what you inherited. You've influenced product direction based on patterns you spotted in the field. You have genuine relationships across CS, Sales, AM, and Product leadership — not just working ones. And the team you've built has changed how Ramp thinks about what a specialist program can do, with a clear path to doing the same in other product areas. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: 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 THE TEAM & ROLE Ramp's procurement product is changing how companies buy. We've built the fastest intake-to-pay platform on the market. 3x faster than traditional P2P workflows, with AI that automates sourcing, contract extraction, approval routing, and invoice matching in one place. Customers save an average of 16% on vendor spend annually and eliminate 46+ hours of manual purchasing work every month. As a Procurement Product Activation Manager, you're the person who makes that real for our customers. You'll work directly with CFOs, controllers, and finance operations teams to design, configure, and launch Ramp's procurement product — helping them go from broken, manual buying processes to a streamlined system that their entire company actually uses. This is not a "follow the playbook" implementation role. You'll be redesigning how companies buy things, which requires equal parts process consulting, product expertise, and relationship management. 🎯 WHAT YOU'LL DO - Own procurement implementation for Commercial and upper Mid-Market accounts from close-won through go-live - Partner with CFOs, finance ops, IT, and legal stakeholders to map existing procurement workflows and design their future-state on Ramp through a change management process - When procurement and Bill Pay are both part of the deal, cover both — procurement is the priority, but you carry Bill Pay activation when it's bundled - Provide structured product feedback to Ramp's Engineering and Product teams based on what you see across implementations — this is a core part of the role - Partner with AEs and AMs when procurement configuration questions come up pre-close or during expansion 🧠 WHAT YOU BRING - Real procurement depth: you've lived inside procure-to-pay — whether at a company managing purchasing or at a platform like Coupa, Zip, Procurify, Stampli, or Ivalua. PO creation, approval routing, invoice matching, and ERP sync aren't concepts you read about; they're things you've configured or managed. - Customer-facing confidence: you run structured discovery, manage calls with multiple decision-makers, and can guide a Controller or AP Manager through a configuration decision without losing their trust - Strong follow-through: multiple implementations running at once, nothing falls through, customers don't have to chase you - Moves fast independently: Ramp's product ships constantly. You don't wait for someone to brief you on a new feature — you find it, figure it out, and update your approach. - Sharp product instincts: you can tell the difference between a user error, a training gap, and a real product limitation — and you say so directly to Engineering and Product, not just "the customer asked for X." 🌟 NICE TO HAVE - Experience at a procurement software company in an implementation, solutions, or customer success role - Familiarity with NetSuite, QuickBooks, or other ERP systems and how they integrate with procurement tools - Consulting background or experience at a company where structured discovery was a core skill. You know how to lead a call and leave with clear requirements 🏆 WHAT SUCCESS LOOKS LIKE - You're carrying 50–60 active implementations per quarter and customers are hitting go-live on schedule - Your CSM counterparts know what you're working on and why — handoffs are clean, nothing falls through the cracks between implementation and ongoing success - You've built or meaningfully improved at least one internal process — a playbook, a feedback loop with Product, a configuration template — that the team uses after you BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote - International Workplace: Remote ABOUT SOMNIA The Somnia Foundation, backed by Improbable, specialises in building and operating high-performance decentralised technology. Its EVM L1, launched in 2025, has been benchmarked as the fastest on the planet: at over 1 million ERC-20 transactions per second. At Somnia you'll be working alongside a talented team working across the core blockchain along with novel protocols leveraging its capabilities: - Somnia Agents adding the ability for smart contracts to leverage the latest open-source LLMs and interact with the outside world via headless browsers, powered by on-chain deterministic LLM inference and a decentralised network of agent runners - Prophecy an information oracle that can combine parsing of public websites and public data sources into decentralised, auditable attestations about the real world, powering prediction markets, forecasting and new types of financial systems - DreamDEX a high-performance DEX with a fully on-chain CLOB leveraging on Somnia's core capabilities, targeting centralised exchange characteristics - Somnia L1 continued work on the high-performance EVM L1, including working on MEV resistance, privacy, automatic gas sponsorship and 'reactivity' where smart contracts can autonomously invoke themselves based on specific timing or event criteria     ABOUT THE ROLE We're looking for a Senior Infrastructure Engineer to build and run Somnia's key backend services: the L1 and node fleet, RPC and indexing layers, product backends, and developer-facing services teams depend on. An SRE-minded role: you make reliability measurable, rollouts safe, and infrastructure repeatable, so every team can move fast without breaking things. You treat infrastructure as a product: automate relentlessly, measure everything, and leverage AI to accelerate development, operations, and incident response. KEY RESPONSIBILITIES - Define and maintain SLOs, SLIs, and error budgets, plus the observability—metrics, logs, traces and alerts—that catches regressions before users do. - Build repeatable, self-service infrastructure through infrastructure-as-code, CI/CD and golden paths so teams can provision, deploy and recover without reinventing the wheel. - Own rollouts end-to-end—progressive delivery, canaries, safe migrations and clean rollbacks. - Operate the systems behind Somnia's nodes, validators, RPC and indexing, tuning for performance and cost across regions. - Lead incident response and on-call, run blameless postmortems, and continuously harden the platform. - Partner with product and protocol teams to design and operate production-ready services. You'll rotate between embedding with engineering teams and building the shared platform, tooling and operational standards that underpin the wider organisation.   REQUIREMENTS MUST HAVE - Strong experience operating production infrastructure at scale (cloud and/or bare metal), with deep Linux fundamentals. - Experience with infrastructure-as-code such as Terraform or Pulumi, alongside configuration management. - Experience running containers and orchestration platforms (Docker, Kubernetes) in production. - Strong programming skills, ideally in Go and/or TypeScript, for building automation and internal tooling. - Experience with observability stacks (Prometheus, Grafana, OpenTelemetry or equivalents). - Experience operating and monitoring distributed systems, including capacity planning and performance tuning. - Comfortable operating in high-stakes production environments and responding to incidents. - Genuine interest in crypto and on-chain systems. NICE TO HAVE - Experience operating blockchain node infrastructure (validators, RPC, archive nodes) for an L1/L2. - Experience with high-performance networking, low-latency systems or load balancing at scale. - Multi-region and geo-distributed deployments with failover strategies. - Security and key management (HSMs, secrets management, hardening). - EVM tooling and the wider Web3 infrastructure ecosystem.   WHAT SUCCESS LOOKS LIKE - Engineers can deploy safely and frequently with confidence. - Platform reliability is measurable, with well-defined SLOs and continuously improving service health. - Infrastructure is automated, repeatable and increasingly self-service. - Incidents become less frequent, easier to diagnose and faster to resolve. - Product teams spend more time shipping features and less time managing infrastructure.   HOW WE WORK - Agent maximalists: We are strong believers in agentic tooling being a massive accelerant to velocity beyond vibe coding prototypes: from equipping engineers with the latest tools through to agentic harnesses for security testing and end-to-end shipping fixes and small features. - Ownership and autonomy: A lean team that optimises for individual impact and velocity. Engineers own features end-to-end, from idea to production, and are trusted to make the call to ship. - Outcome-oriented: We take on hard technical problems, but the tech is always a means to an end. What matters is what ships and the impact it has, not cleverness for its own sake. - Best tool for the job: We solve interesting problems in the simplest way possible. Mostly TypeScript for full-stack apps, C++ for high-performance systems, Go for infrastructure services and Solidity for smart contracts.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. As Unlimit expands into new markets, each license we obtain connects us to that country's banking infrastructure — domestic clearing and direct interaction with other participants in the banking system. This role owns the integrations that bring those rails live: working hands-on with central banks, national clearing systems, and third-party BaaS providers.   You'll act as both project lead and solution engineer — running each integration with the regulator or provider and doing the technical implementation yourself. It's a role that sits between delivery and architecture: you own a project end to end while staying deep in the technical detail. What You'll Be Doing Own central bank and clearing integration projects end to end, from kickoff to go-live, as Unlimit enters new licensed markets. Act as the primary technical and project contact for regulators and their assigned counterparts. Manage the full onboarding path: credentials and environment setup, certification test cases, and production activation. Set and defend realistic launch timelines, and keep projects on track within their delivery window. Design and implement the connections that plug Unlimit into local clearing and payment systems. Deliver integrations with third-party BaaS providers to bring additional payment rails online. Document integrations and hand over clean, maintainable solutions to engineering and operations. Our Tech Stack You'll work across a stack that includes: Backend & tooling: JVM, Kotlin, Java, Spring Boot, Modulith, Javalin, jOOQ, Temporal Integration & messaging: REST and SOAP/XML web services, ISO 20022; Kafka and SQS/SNS for internal eventing Security: mTLS, PKI, certificate-based authentication, and digital signatures — standard for central bank and clearing connections Cloud & infrastructure: AWS, Docker, Kubernetes, Terraform, GitLab CI/CD What We're Looking For 5+ years in payments, banking, or integration engineering, with hands-on ownership of complex integration projects. Direct experience integrating with central banks and/or national clearing and settlement systems. Hands-on familiarity with payment schemes and networks such as SWIFT and SEPA. Strong understanding of payment rails, clearing, and settlement flows. Comfort with payment messaging standards and integration patterns (ISO 20022, MT/MX, SOAP/REST web services, certificate-based auth). The ability to run a regulated project independently — managing scope, timelines, and regulator communication without close supervision. A solid awareness of AI-driven engineering practices and where the tooling is heading. Hands-on experience putting AI tools to work — LLMs, AI-assisted development environments, and automation frameworks — to sharpen productivity, system performance, or technical decision-making. A clear, structured communicator who can hold their own with regulators and technical counterparties alike. Nice to Have Experience working directly with financial regulators, especially in Europe, Mexico, and Brazil. Familiarity with local schemes such as SEPA (Europe), SPEI (Mexico), and Pix (Brazil). Prior BaaS / embedded-finance integration experience. A background in payments, banking, or fintech operating across multiple jurisdictions. What You'll Gain Ownership of high-impact projects that directly unlock new markets for Unlimit. Exposure to the full fintech product landscape: acquiring, BaaS, wallets, crypto, and more. A global company with a strong engineering culture, agile mindset, and flat hierarchy. Collaboration with international teams across EU, LATAM, and APAC. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: Tbilisi; Yerevan; Belgrade; Novi Sad, Vojvodina; Poland; Portugal Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits: You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. Requirements: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus What you’ll do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. Nice to Have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible