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Location: Georgia; Armenia; Spain; Poland; Lithuania; Kazakhstan GoMining runs a portfolio of products, and Mining is at its core. Digital Miners, upgrades, maintenance, the secondary marketplace and the GOMINING token’s role in all of them are where most users start with GoMining. They also hold up the economics of the whole ecosystem. Mining has a product manager today, but nobody owns the business end to end. This role is that owner. You’ll run Mining as your own business inside GoMining. That covers everything from economics and product strategy down to the roadmap, the team and what ships each sprint. Think of it as being the CPO of your own domain. You’ll have a small dedicated engineering team, direct access to legal, finance and compliance, and you’ll report straight to the founder. This isn’t a role for keeping things running. We want someone who grows the business and moves the numbers that matter: revenue, LTV and active users. What you’ll do Business: own the economics and the strategy Own Mining’s key business metrics: revenue, LTV, user growth, retention, and the unit economics behind every miner that’s sold, upgraded or traded. Build and own the product and business strategy for Mining: where it grows next, what we launch and what we stop doing. Model and tune the economics of miners, upgrades, maintenance, marketplace fees and token mechanics so they work for users and for the business. Find and launch new ways to grow: new mechanics and miner products, pricing and bundles, and tighter links with the rest of the ecosystem (Card, Simple Earn, VIP, Miner Wars). Track how crypto, mining and Web3 products make money and keep users, and bring back what’s worth trying. Product: own what gets built and why Own the Mining roadmap and priorities, and turn strategy into a plan the team can execute. Work hands-on with the product: user research, analytics, funnels and experiments. Decisions are made on data, not opinions. Define requirements with the tech lead: what problem we’re solving, for whom, and how we’ll measure success. Manage the full product lifecycle, from discovery and launch through growth to retiring what no longer pays off. Delivery and team: make it ship Lead a small dedicated team: a tech lead, 2–3 software engineers and 1–2 QA engineers. You set the goals, the priorities and the pace. Own delivery end to end: scope, timelines, quality and releases. Bring in legal, finance, compliance, marketing, design, analytics and support as you need them. You won’t manage them, but you’ll drive the work forward together. Work with marketing on go-to-market for every Mining launch, so what we ship actually reaches users. What success looks like First month: you’ve taken over the full context from the CPO, you understand Mining’s economics and metrics in depth, and you have a clear view of the biggest growth opportunities and risks. First 3 months: Mining has a strategy and roadmap the founder has signed off on, and the team ships on a predictable rhythm. The first growth initiatives you own are live and measured, with visible impact on key metrics. Requirements 6+ years in product management, including at least 2–3 years owning a product or business line end to end: strategy, metrics, delivery and team. Experience as a CPO, Head of Product, GM or founding product lead, ideally at a startup or scale-up where you did a lot at once: product, delivery, analytics, sometimes fundraising or partnerships. A track record of growing business metrics (revenue, LTV, user base) that you can walk us through with real numbers. A strong grasp of unit economics, monetisation models and the product lifecycle. You can build and defend a business model, not just a backlog. Hands-on product analytics skills: funnels, cohorts, A/B tests, and SQL or BI tools. You don’t wait for someone else to answer your questions. Experience leading engineering teams directly and working closely with a tech lead on trade-offs. The ability to get decisions made with teams you don’t manage, including legal, finance and compliance. A background in crypto, Web3 or fintech products. Crypto is strongly preferred: you understand how tokens, wallets and crypto users behave. Strong English (B2+). Fluent Russian. Would be a plus Experience with mining, hashrate-based products, NFTs or tokenomics. Founder or co-founder experience, including fundraising. Marketplaces, two-sided economies or in-game/gamified economies. Regulated financial products and compliance constraints across jurisdictions. An engineering background. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year. Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates Apt Resources is currently seeking an experienced MEP Supervisor to oversee the mechanical, electrical, and plumbing systems at a prestigious royal palace in Abu Dhabi. The ideal candidate will have extensive experience in MEP management within high-profile environments, ensuring that all systems run smoothly and adhere to the highest standards of safety and efficiency. Responsibilities Supervise the installation, maintenance, and repair of MEP systems within the palace. Conduct regular inspections of MEP installations to ensure compliance with design specifications and safety regulations. Coordinate with contractors, vendors, and other stakeholders to facilitate smooth operations and project execution. Develop and implement maintenance schedules and procedures for all MEP systems. Manage and oversee the work of MEP technicians and other staff members. Diagnose and resolve any issues related to MEP systems in a timely manner. Prepare reports and documentation related to maintenance activities, inspections, and system performance. Ensure compliance with local and international codes and standards. Requirements Bachelor's degree in Mechanical or Electrical Engineering or a related field. Minimum of 5 years of experience in MEP supervision, preferably in royal or high-profile environments. Strong knowledge of HVAC, electrical, and plumbing systems. Excellent leadership and team management skills. Proficiency in using MEP design and management software. Strong problem-solving abilities and attention to detail. Excellent communication and interpersonal skills. Knowledge of safety regulations and building codes. Must be in UAE. Benefits Salary: AED 5000 plus sharing accommodation, food, and other benefits as per UAE Labor Law.

Location: Abu Dhabi, United Arab Emirates; Dubai, United Arab Emirates; Colombo, Sri Lanka Apt Resources is searching for an experienced Landscape Supervisor to join our client in Abu Dhabi, UAE. In this role, you will oversee the landscape maintenance and development activities, ensuring vibrant, healthy landscapes. The successful candidate will lead a team of landscape personnel, coordinate landscaping projects, and collaborate closely experts to promote sustainability and efficiency. Responsibilities: Conduct daily inspections of all landscaped areas to ensure maintenance activities and ongoing projects are progressing as scheduled. Monitor fruit trees daily, document their condition, and share video updates in designated communication channels. Track all feedback and instructions from Her Highness, ensuring prompt follow-up and implementation. Maintain open communication with the Facilities Management (FM) team, addressing any landscape-related issues within their scope. Coordinate with external contractors to ensure landscaping works meet palace standards and expectations. Oversee the progress of all landscaping activities, ensuring adherence to approved schedules and timelines. Verify irrigation schedules and ensure systems are fully operational and supplying sufficient water to all zones. Monitor daily progress of landscape projects and update relevant reports accordingly. Inspect all irrigation zones regularly to confirm proper functionality and compliance with watering schedules. Monitor plant health to ensure optimal water and nutrient delivery. Ensure the exclusive use of approved agrochemicals for pest and disease control, maintaining safety and compliance. Enforce contractor compliance with palace rules and regulations at all times. Monitor and ensure contractors’ adherence to safety protocols during all landscaping and project-related activities. Assist contractors in developing landscape designs and proposals, as required. Conduct regular quality inspections of landscaping and irrigation work. Verify that all materials delivered on-site comply with project specifications and quality standards. Prepare snag lists for landscaping and irrigation works, and oversee timely resolution prior to project handover. Review and validate as-built drawings and Operation & Maintenance (O&M) manuals for landscape and irrigation systems. Support the preparation and execution of handover procedures, ensuring all deliverables and requirements are fulfilled. Requirements Bachelor's Degree in Landscape Architecture, Horticulture, Agronomy, or a related field. Minimum of 5 years of experience in landscape supervision, preferably in agricultural settings. Strong understanding of plant species, soil management, and irrigation systems. Proven leadership skills with the ability to manage and motivate a team. Excellent communication and organizational abilities. Ability to work outdoors in various weather conditions. Strong problem-solving skills and attention to detail. Must be locally available in UAE. Benefits The salary is AED4,000, plus accommodation, food, and other benefits as per UAE labor law.

Location: Dhahran, Saudi Arabia We are seeking a Valve Repair Specialist to join our Mechanical Services Shops. Mechanical Services Shops is responsible for providing rotating and static equipment repair and fabrication of components. Your primary role is to provide technical and on-hand support for inspection, repair, reconditioning, testing, and performance improvement of industrial valves. You will determine repair strategy, resolve complex leakage or operability problems, approve procedures, and ensure repaired valves meet standard, service, and reliability requirements. Key Responsibilities As the successful candidate you will be required to perform the following: · Repair Strategy: Review valve type, service, damage, pressure class, materials, trim, actuator, and code requirements to establish inspection, repair, replacement, upgrade, and test scope. · Complex Troubleshooting: Diagnose seat leakage, packing leakage, galling, erosion, cavitation, corrosion, distortion, stem or guide problems, actuator issues, and recurring functional failures. · Procedure Development: Approve disassembly, dimensional inspection, machining, lapping, welding, heat-treatment, assembly, torque, setting, and acceptance criteria. · Testing & Certification: Define shell, seat, backseat, closure, fugitive-emission, torque, stroke, and functional tests; review calibrated data and certify results against applicable standards. · Technical Governance: Control deviations and material substitutions, support RCAs, standardize repair practices, mentor personnel, and recommend design or service improvements. Minimum requirements ·        You will hold a Bachelor's degree in Mechanical, Materials, Metallurgical, or Manufacturing Engineering from a recognized and approved program. ·        You will have at least 15 years of valve, pressure-equipment, or mechanical-repair experience, including a minimum of 10 years in complex industrial valve repair and testing. ·        Expertise across gate, globe, check, ball, butterfly, and other applicable valve types such as safety relief valves is required. Moreover, expertise in trim designs, packing systems, actuators, and pressure classes is required. ·        Strong knowledge of valve metallurgy, hard-facing, machining, lapping, welding repair, dimensional inspection, pressure testing, and leakage diagnosis is necessary. ·        Demonstrated ability to develop repair procedures, troubleshoot repeat failures, assess deviations, and optimize valve performance is required. ·        API valve training and recognized OEM repair, actuator, or diagnostic training are strongly preferred.

Location: United States About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are looking for a detail-oriented Business Analyst – AI Evaluation Specialist to support a project focused on assessing and comparing chatbot responses. You will evaluate multiple AI-generated outputs against defined business requirements and quality criteria, analyze business processes, and deliver structured assessments that help improve the accuracy and usefulness of AI systems. The ideal candidate combines strong business analysis, data interpretation, requirements documentation, and critical evaluation skills with the ability to communicate clear, evidence-based conclusions. Key Responsibilities Gather, analyze, and document business requirements, stakeholder expectations, and project objectives. Compare multiple chatbot responses and assess their accuracy, relevance, completeness, and alignment with defined evaluation criteria. Conduct structured evaluations and provide clear, evidence-based final assessments of AI-generated outputs. Translate business requirements into functional specifications, evaluation criteria, and actionable documentation. Analyze workflows, business processes, and data to identify gaps, inefficiencies, and improvement opportunities. Create reports, dashboards, process maps, and other project documentation. Support project planning, testing, implementation, and user acceptance testing (UAT). Collaborate with technical teams and business stakeholders to ensure project requirements are understood and met. Track project progress, risks, dependencies, and key performance indicators (KPIs). Present findings, insights, and recommendations to support informed decision-making. Maintain consistent evaluation quality and meet project deadlines and task completion targets. Requirements Bachelor's degree in Business Administration, Finance, Computer Science, or a related field. At least 3 years of professional experience as a Business Analyst or in a similar analytical role. Strong analytical thinking, problem-solving, and decision-making skills. Proficiency in Excel and experience with SQL, Power BI, Tableau, or comparable analytical and reporting tools. Experience gathering requirements, documenting functional specifications, and mapping business processes. Strong attention to detail and the ability to compare complex information against defined criteria. Excellent written communication, reporting, and documentation skills. Ability to collaborate with cross-functional teams and manage multiple priorities independently. Willingness to work five days per week, including weekends when required, with two weekdays off during the project.

Location: Antalya, Turkey; Baku, Azerbaijan; Bangkok, Thailand; Da Nang, Vietnam; Almaty, Kazakhstan Hey there! Are you ready to join a fast-growing international travel-tech company and be a part of an awesome team? At RateHawk, we’re passionate about travel and technology, and we’re looking for a Premier Reservation Manager to help us keep our clients happy and our operations smooth. Who We Are: We're a fast-growing international travel-tech company with an amazing team, a fantastic culture, and plenty of opportunities for growth. If you love helping people and solving problems, we’d love to hear from you! Requirements What You’ll Do: Work with VIP clients: Receiving and processing requests for booking hotels, other accommodation facilities, transport services, excursions around the world; Formation of a commercial offer to the client; Searching and booking of accommodation options, additional services, according to the request; Negotiation of the cost, conditions of cancellation, booking and payment with hotels directly and suppliers; Support in all cases arising from the completed booking (cancellation, changes, relocation, etc.) What We’re Looking For: English Proficiency: Upper Intermediate level (both spoken and written). Russian Proficiency: Upper Intermediate level (both spoken and written). Soft Skills: Kindness, empathy, stress-resistance, politeness, and responsibility. Quick Learner: Ability to learn quickly and stay results-focused. Travel Knowledge: Experience in tourism, concierge agency, TMC, DMC or tour operator companies. Knowledge of the bases of hotels in Russian Federation and popular destinations: countries in Europe, Asia. Tech Requirements: A functioning computer and microphone. Benefits What We Offer: Remote Work: Work from the comfort of your home. Great Team: Join a young and active team of super specialists. Flexible Schedule: 2 days-on after 2-days off from from 9 a.m. to 9 p.m. GMT +3. Competitive Salary: Earn a base salary of 800 EUR + up to 200 EUR in bonus KPI Challenging Tasks: Tackle interesting and ambitious tasks that will elevate your professional skills. Continuous Learning: Access to seminars, trainings, and conferences. We’ll even help you get to any conference you want to attend. Perks: Enjoy corporate discounts on hotels and other services. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice If this sounds like the perfect fit for you, we’d love to hear from you! Apply now and let’s create amazing travel experiences together!

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Every agent on Baseten Sandboxes runs in its own microVM. Agents call models, reach tools and APIs, expose services, and more and more often talk to each other. Networking built into today's cloud providers was not designed for very large numbers of isolated machines that suspend, resume, and exchange data constantly. The Agent Infra team builds its own networking stack for sandboxes, designed from the start for that scale. It runs in user space, with VPP (FD.io http://FD.io) as its main data plane technology, and is built from virtualized network functions (VNF/NFV): carrier-grade, low-latency packet processing designed for very large numbers of agents. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose sandboxes, storage, and networking are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. You'll build multi-tenant virtual private networking that connects each customer's agents and services privately and securely, using modern overlay technologies. We are building a cloud, not just using one. We want engineers who expose the network as a programmable API and write the code, not operators who push router and switch configuration. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. This role is separate from Baseten's GPU-to-GPU networking. Here you'll own how sandboxes connect to each other, to Baseten services, to customer networks, and to the internet. If you've built user-space data planes, virtualized network functions, or multi-tenant cloud networking and want to design one for agents, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Securing the open frontier with NVIDIA OpenShell and Blaxel sandboxes https://www.baseten.co/blog/announcing-carbon/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Design and build the user-space, VPP-based data plane that connects microVM sandboxes to each other, to Baseten services, and to the internet - Build multi-tenant virtual private networking and overlays (for example EVPN, GENEVE, VXLAN) across regions - Expose the network as a programmable API that the rest of the platform calls - Cut latency and raise connection scale for agent-to-agent and agent-to-service traffic - Build routing that sends each request to the nearest region and keeps connections working as sandboxes suspend and resume - Build secure ingress and egress for sandboxes, including firewalling, static egress IPs, and custom domains with managed TLS - Build L7 proxies for request inspection, filtering, secret injection, and auditing - Own per-sandbox addressing, including IPv6, and network isolation between tenants - Build observability for the packet path across guest, host, and network, and debug production issues end to end - Work closely with the compute, storage, GPU infrastructure, and datacenter teams REQUIREMENTS - Experience with user-space packet processing (DPDK, VPP, or similar) or virtualized network functions (VNF/NFV) - Experience building multi-tenant networking in production (VXLAN, GENEVE, VRF) - Experience building a software-defined network, overlay network, or packet-processing data plane in production - You write production code: strong systems programming in Rust, Go, and/or C/C++. Network architects are welcome if they build, not only configure - Experience building cloud networking as the provider, not only consuming a cloud provider's network - Solid grounding in TCP/IP and routing - Experience building or operating proxies, load balancers, or L4/L7 gateways at scale - Experience debugging latency and throughput problems with packet captures, tracing, and profiling - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Experience with VPP / FD.io http://FD.io, our main networking technology - Experience with GENEVE or VXLAN overlays and EVPN - Linux kernel networking: eBPF/XDP, netfilter or nftables, network namespaces - Familiarity with virtual machine networking: virtio-net, vhost, TAP devices, or networking for Firecracker or Cloud Hypervisor - Experience running IPv6 at scale - Background in telecom user-plane or 5G core networking, or in low-latency trading networks - Experience with multi-region traffic routing, anycast, or BGP - Experience with TLS termination, DNS, and egress security controls BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Every agent on Baseten Sandboxes gets its own microVM, where it writes and runs code, calls tools, and keeps state across long tasks. Agents pause and resume constantly, so the machine underneath has to start, stop, snapshot, fork, and resume fast, and keep every tenant isolated while it does. General-purpose virtualization was not built for that workload. The Agent Infra team builds that layer. Sandboxes run in microVMs with custom Linux kernels on bare-metal servers we operate. You'll own how sandboxes start, stop, snapshot, fork, and resume, and how they perform on each host's CPU and memory, down to the hardware. You'll also own the guest and host side of each sandbox: its identity, how it attaches to different storage classes for performance or capabilities, and the virtual devices that connect it securely to the network. In September 2026, Baseten acquired Blaxel https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/, whose microVM sandboxes are the foundation for Baseten Sandboxes https://docs.baseten.co/sandboxes. We are building a cloud, not just using one. That means designing for many tenants from day one and thinking through what each decision means all the way down to the datacenter. The team is small and ownership is big: we ship in weeks and months, not multi-year programs. If you've worked deep in KVM and Firecracker, Cloud Hypervisor, or QEMU and want to build the computers AI agents run on, we'd love to talk. EXAMPLE INITIATIVES - Blaxel is joining Baseten to build the future of agentic infrastructure https://www.baseten.co/blog/blaxel-is-joining-baseten-to-build-the-future-of-agentic-cloud/ - Securing the open frontier with NVIDIA OpenShell and Blaxel sandboxes https://www.baseten.co/blog/announcing-carbon/ - Baseten Sandboxes documentation https://docs.baseten.co/sandboxes RESPONSIBILITIES - Own the microVM lifecycle for agent sandboxes: start, stop, suspend, resume, snapshot, and fork - Build and tune the custom guest kernels sandboxes run on - Tune host CPU and memory configuration so sandboxes run fast and safely on each type of hardware we operate - Manage host-level resources and sandbox density on each machine - Own startup and resume performance end to end, from VM boot or snapshot restore to the first command - Own the guest and host side of each sandbox: its identity, how it attaches to storage, and the virtual devices that connect it to the network - Design isolation for multi-tenant workloads where the hypervisor is the security boundary - Debug virtualization and isolation issues at scale, from userspace through the kernel to the hardware - Contribute architecture decisions and code back to the open-source projects we build on REQUIREMENTS - Hands-on experience with KVM, plus Firecracker, Cloud Hypervisor, or QEMU - Deep understanding of Linux internals: namespaces, cgroups, memory management, and the boot path - Experience building cloud infrastructure as the provider (multi-tenant compute that customers run on), not only running workloads on a cloud provider - Experience building multi-tenant infrastructure where isolation is a security boundary - Strong systems programming background in Rust and/or Go; C/C++ also welcome - Experience debugging performance and correctness problems across userspace and kernel boundaries - You move fast and like owning a problem end to end on a small team NICE TO HAVE - Contributions to KVM, Firecracker, Cloud Hypervisor, QEMU, rust-vmm, or the Linux kernel - Experience with Xen - Working knowledge of container runtimes and sandboxing (containerd, runc, gVisor, Kata Containers) - Experience with VM snapshot and restore, fast VM resume, or building and tuning custom Linux kernels - Experience running virtualization on bare metal and tuning for specific CPU and memory architectures - Experience building a sandbox, serverless, or function runtime product - Familiarity with Linux performance tooling such as eBPF, perf, and ftrace BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Remote-Friendly (Travel Required) | San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Security at that scale runs on data, and you'll be the engineer who owns it and the systems that produce it: component-level hardware inventory and chain of custody, fed by software that runs at our sites and on hosts, and continuous control monitoring, with the posture calculations that decide what each site is cleared to run. You set the architecture, agree schemas and interfaces with the teams, operators and vendors that own the sources, build the pipelines, stores and tools, and run what you ship. The goal is security that runs itself: custody, access and evidence verified continuously from records, with tools and AI agents doing the reviews. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including the engineers on its security monitoring platform, with Anthropic's compute and data center operations teams, and directly with data center operators, hardware vendors and logistics providers. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities Hardware inventory and chain of custody: own the component-level record of what hardware exists, where it is and who has handled it: the data model, the pipelines that join inventory and custody events from many source systems, change history on every record, and the tamper-evident stores behind it Tools, automation and AI agents: build the tools and agents the team runs on this data: reconciliation, audit evidence exports, custody checks. When a review keeps costing people time, you build the tool or agent that retires it Custody workflows and field software: build the workflows and the site and host software that capture custody events as they happen (a receipt, a move, a data wipe, a decommission) and enforce who is authorized to record them Continuous control monitoring and posture: own the pipelines that turn check outcomes, assessment results and findings into per-control and per-site measures over time, against the compliance frameworks we and our partners are assessed against, and the posture calculation that decides what a site is cleared to run Data quality: build coverage checks, reconciliation against sources and alerts on a silent or drifting feed, so a wrong or missing record is caught the same day; own retention and access controls on the records Integration and reporting: agree schemas and interfaces with the engineers who run the security monitoring platform, and build the query surfaces and reports the team, site leads and leadership use directly Minimum qualifications Have designed and run production data systems (relational schemas, change data capture, batch or streaming pipelines and the services around them) and kept them correct: coverage measured, records reconciled against the source, alerts on silence, and a design that expects records to get corrupted or lost Have integrated with systems you did not control (inventory tools, ticketing systems, vendor APIs) and built data models that outlive any one source Have shipped software that runs outside a central service (host agents, site-local services, edge collectors) and kept it correct in the field, or built metrics a team made decisions on and defended them when challenged Have worked hands-on with data about physical assets or security controls: a hardware fleet, data center or supply chain inventory, asset custody, or the control and evidence data of a security or compliance program Read and review other people's code, and build with AI coding agents using Git and code review Own a domain end to end: set the approach, design and build it with the teams and vendors whose systems it depends on, and run it as something people use every day Write SQL and at least one general-purpose programming language well Preferred qualifications Experience with asset management, supply chain or warehouse systems where serialized tracking and custody transfer are the core problem Experience building continuous control monitoring or metrics for a security or compliance program, or producing evidence an assessor accepted, for example against NIST SP 800-53, ISO 27001 or SOC 2 Experience with risk or posture scoring that combines control results, findings and other evidence into a measure people make decisions on Familiarity with data center hardware and its lifecycle from receipt to decommission, and with sites and parties you did not control: colocation, cloud or GPU cloud operators, hardware manufacturers, logistics providers Have run software on many hosts or at remote sites with versioned rollout and a way to know each copy is still reporting Have built AI agents or automation that replaced recurring manual work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Hardened Images (DHI) is Docker's catalogue of security-hardened, enterprise-grade container images and Helm charts, built to be minimal, up-to-date, and safe to deploy in regulated and security-conscious environments. We're looking for a Principal Software Engineer to set the long-term technical direction for this catalogue and shape how the broader container security ecosystem evolves inside and beyond Docker. At this level, you'll work across organizations, not just within one team. You'll set direction for major domains, resolve the highest-ambiguity problems in container supply chain security, and grow your impact through architectural leadership, cross-functional alignment, and influence on industry standards. This is a pure individual contributor role; influence comes through technical vision, design, and the ability to move organizations. _______________________________________________________________________ RESPONSIBILITIES - Own the architecture for DHI as a platform, making high-leverage decisions that define how images and Helm charts are authored, secured, distributed, and evolved across the entire catalogue and across Docker's broader product surface. - Define and drive multi-quarter technical roadmaps for the container hardening domain, balancing upstream velocity, supply chain security posture, customer compliance requirements, and long-term catalogue scalability. - Identify systemic patterns from customer, operational, and upstream signals and translate them into architectural changes that span the catalogue, not just individual images or charts. - Build alignment across teams and executives on technical strategy, tradeoffs, and sequencing, including product, security, infrastructure, and customer-facing functions. - Represent Docker as a trusted technical voice in escalations, key enterprise customer engagements, and upstream OSS communities on issues that shape the future of secure container delivery. - Set conventions and standards at scale, defining the patterns others build within for image definition, Helm chart adaptation, hardening strategy, and supply chain tooling (Sigstore, SBOM, SLSA), and evolving those standards as the ecosystem changes. - Drive the hardest, most ambiguous packaging problems where the right answer requires reasoning across upstream dynamics, security tradeoffs, multi-arch constraints, and customer impact simultaneously. - Shape the integration test infrastructure and developer tooling strategy so that DHI's engineering platform scales with the catalogue and raises quality across the team. - Mentor and raise the technical ceiling for staff and senior engineers across the org, through review, design, and well-chosen architectural decisions that create durable leverage. - Take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability. _______________________________________________________________________ QUALIFICATIONS - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Ability to set multi-quarter technical roadmaps and align stakeholders (engineering, product, and executives) on strategy and tradeoffs. - Deep expertise in the container and Kubernetes ecosystem: you have strong, grounded opinions about cert-manager, kyverno, grafana, istio, and similar projects, and you can reason about tradeoffs at the ecosystem level, not just the image level. - Mastery of container supply chain security concepts (provenance, attestation, SBOM, signing, SLSA) and experience driving posture decisions across an organization rather than implementing them on a single project. - Strong software engineering fundamentals: code review, testing, source control, CI/CD, and Go sufficient to shape infrastructure and harness design. - Track record of technical influence without authority across multiple teams or organizations, raising quality through design docs, standards, review, and mentorship. - Experience navigating upstream OSS communities as a decision-maker, representing a downstream organization's requirements and shaping upstream direction on security-relevant issues. - Comfort working across remote, distributed teams and communicating complex technical strategy clearly to both technical and non-technical audiences. BONUS BUT NOT REQUIRED - Experience as a package maintainer at a Linux distribution, Homebrew, or comparable ecosystem. - Hands-on experience implementing or operationalizing supply chain tooling (Sigstore, SBOM, SLSA) at org scale. - Experience in regulated environments (FedRAMP, FIPS, PCI) with direct exposure to compliance requirements shaping engineering decisions. - Prior Principal or Distinguished IC experience on a platform, security, or developer-tools team. - Experience engaging directly with enterprise customers on container security architecture. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Align with leadership on the most critical org-wide technical risks and opportunities in container supply chain security. - Develop a point of view on DHI's current architectural constraints and where the highest-leverage interventions are. - Begin mapping the cross-functional landscape: product priorities, upstream pressures, customer compliance signals, and engineering gaps. FIRST 90 DAYS - Drive an architectural decision that unblocks multiple teams and reduces systemic risk across the catalogue. - Establish a feedback loop from customer, operational, and upstream signals into the multi-quarter roadmap. - Engage upstream OSS communities on at least one DHI-relevant issue with meaningful influence on direction. FIRST YEAR - Deliver a major platform or standards evolution with broad adoption across DHI and adjacent teams. - Create durable alignment across engineering, product, and security on catalogue architecture, supply chain posture, and hardening strategy. - Raise the technical ceiling for the engineers around you, measurably improving review quality, architectural consistency, and the team's ability to operate independently at a higher level. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$245,913 – CA$397,139 base United States: $180,500 – $291,500 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Distributed 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. Open to any of the listed location(s): Florida: Miami (MIA), Tampa (TPA) Georgia: Atlanta (ATL) North Carolina: Charlotte (CLT), Raleigh (RDU) Tennessee: Nashville (BNA) About the Department Partner Account Managers, Account Executives, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community. What you'll do We are looking for a seasoned channel sales professional to help us build out the channel organization in the Southeast and MidAtlantic regions. In this role, you’ll identify and operationalize varied types of partner organizations to help expand Cloudflare’s sales team reach within an assigned territory. You will build a regional partner business plan with quantified goals and milestones to achieve partner sourced revenue metrics to meet all quarterly sales requirements. As a Partner Account Manager, you will work with a strategic group of partners in your territory and build a plan to drive alignment, enablement and pipeline generation efforts.   You will work with partner stakeholders to drive sales enablement and coordinate technical training of Cloudflare’s solutions, work with respective field teams on demand gen initiatives and campaigns, as well as working with direct sales on various Channel oriented opps. Additional responsibilities will include: Lead business planning and execution with partners and internal sales teams (e.g., QBRs, health checks, annual planning). Conduct joint partner territory planning with aligned sales segments. Deliver internal partner training to direct sales teams to foster collaborative selling. Drive pipeline creation and revenue through creative joint GTM activity with our channel and direct sales teams. Build product and sales competency within core regional and national partners, influencing their GTM strategies to maximize partner-sourced pipeline. Leverage data analytics and AI tooling to optimize and scale partner growth. Examples of desirable skills, knowledge and experience 5+ years in Software/SaaS/Security Sales & Channel management. 3+ years of proven success developing and scaling a partner ecosystem (VARs, SIs, MSPs/MSSPs) within a SaaS model. Understanding of cloud infrastructure ecosystem and cloud security is highly preferred. Direct experience in onboarding and enabling resellers/SI's. Experience working in a start-up environment. Ability to travel 30-50% of the time within the assigned territory. Technical competence strongly preferred. Compensation This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. 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.

Location: New York ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.     What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.   Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences   Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences   What We're Looking For • Master’s degree in Computer Science, Engineering or a related field • 7+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment   Your application will be all the more interesting if you also have: • experience in an AI/ML environment • experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Mobile, AL About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Purpose: We are looking for an experienced Full-time Provider (Nurse Practitioner or Physician Assistant) to provide primary care to our patients in the Mobile, AL region. You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: Provide high quality care to primary and palliative patients in and around Mobile, AL Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care Effectively communicate with office staff and clinical operations across various internal platforms Provide high quality, patient centered care to a panel of patients Attend quarterly medical staff meetings Develop impressions, diagnosis, and treatment plans Foster trust and consult with patients, families, and caregivers during visits Order diagnostic testing as medically necessary Prescribe medications supplies and appropriate medically necessary interventions What You'll Need: Board Certified, with a valid NP or PA certification in the State of Alabama Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose Positive demeanor and strong people skills Ability to confidently problem solve and operate independently 1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required) What you'll get: A flexible schedule - so you can see your patients during a schedule that works for you Autonomy - so you can feel trusted to provide the best care possible. Support - from our in-house clinical team with any requests or orders. Growth - the opportunity to join our growing leadership team Salary Range: Full-time: $105,000 - $130,000+ (depending on experience and other incentives) Providers are paid per visit #pink Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, fault-tolerant, and global infrastructure that is shared across multiple financial products, merchants, and vendors. Ensuring that our infrastructure is transparently available to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of writing blameless postmortems as well as writing detailed tech specs and gathering feedback before large changes to systems. The AI Platform team owns Affirm's paved path for building, running, evaluating, and governing AI systems. Our customers are not only Affirm users, but also every engineer and a growing set of production workloads at Affirm. As a team, we are responsible for building and exposing simple, governed interfaces to models, tools, and agents, with identity, cost attribution, reliability, and security built in. Examples of components we own include the LLM Gateway that fronts every approved model (Claude, ChatGPT, and open-weight models across AWS Bedrock and other providers), the MCP Gateway that mediates and audits tool calls, the Agent Runtime that gives agentic workloads bounded execution, and the evals and observability layer that tells teams whether an AI change is better, cheaper, or safe to ship. We are early: the gateway is in daily use across engineering, the first production agent is live, and the next year takes us from developer productivity to production inference and agents. What You'll Do Plan, execute, and own technical decisions and projects within the AI Platform team, from design through launch and on-call. Design and build the gateway, runtime, and evaluation services that take AI workloads at Affirm from pilot to production, securely scaling across millions of users and their transactions. Make AI spend attributable and governable: build the identity, quota, routing, caching, and failover controls that let teams adopt new models and tools without re-solving the same platform problems. Partner with security, infrastructure, and product engineering teams to set the guardrails for agentic workloads and the on-behalf-of identity model for tool access. Create and monitor metrics for your team's systems, and own the operational health of what you ship: monitoring, alerting, runbooks, and on-call. Set and improve code review and design standards, and advocate for them beyond your team through writing and tech talks. Use AI tools and agentic workflows every day as a multiplier for your own code, design review, and operations, and push the team on what a small AI-native team can deliver. Educate, mentor, and grow engineers in the team, and drive best practices around design, coding, and testing. What We Look For You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have practical experience building with LLMs, agents, or AI frameworks in production: inference APIs, LLM gateways (LiteLLM or similar), MCP, tool calling, evals, or agent runtimes. You understand AI usage and the infrastructure needed to support and leverage AI workloads across different disciplines. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $ 195,000 - 255,000 USA base pay range (all other U.S. states) per year: $173,000-233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Denver, Colorado, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. As the Manager on the GTM Finance and Strategy team, you’ll operate at the center of go-to-market strategy — owning and building critical models to forecast ARR and GAAP Revenue, analyzing and providing perspective around strategic initiatives, and delivering insights that shape executive and Board decisions. You’ll partner closely with Analytics, Revenue Accounting, Revenue Operations, External Reporting, and GTM leadership. This role reports to the Sr. Manager of GTM Finance and blends strategic finance, data storytelling, technical problem-solving, and operational execution. You’ll drive forward-looking planning, help scale our forecasting infrastructure for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function. This is a high-impact role ideal for someone who is passionate about leveraging data and financial insight to guide strategy and operational execution in a high-growth, cross-functional environment. This is a full-time, hybrid position based out of our Oakland, CA or Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Tools/Technologies You’ll Use Claude / ChatGPT, Looker, SFDC, BigQuery, G-Suite What You’ll Do Revenue Modeling & Forecasting: Own and re-evaluate our rolling GAAP revenue and ARR forecast models, including renewal behavior (NRR), new business, and contract-level revenue recognition across subscription and consumption-based streams. Evolve forecasting frameworks using both deterministic and AI/ML-driven approaches. Usage-Based Revenue: Build and maintain forecasting approaches for consumption revenue, including committed vs. overage usage, breakage, and the migration of customers between pricing models Business Partnering: Serve as a key advisor and partner to COO, CFO, and collaboration with Analytics, delivering actionable insights to improve efficiency, optimize investments, and accelerate growth. Strategic Decision Support: Deliver analysis that informs GTM investment, pricing and packaging, and target setting, and quantify the revenue impact of key business risks and opportunities Budgeting & Forecasting: Support annual planning and monthly/quarterly forecast cycles; partner closely with Revenue Accounting on close, variance analysis, and forecast-to-actual (BvA) tracking Performance Analysis: Own key revenue and retention metric packages — including NRR, ARPA, new business mix, ROI, and cohort trends — and surface insights to the CFO, executives, and the Board Forecast & Reporting Infrastructure: Use AI Tools, or SQL (BigQuery) / Python to automate data pulls, build repeatable and auditable models, and improve the accuracy, speed, and transparency of our topline forecast; partner with Analytics, AI Transformation and Systems on data quality, integrity and self-serve reporting capabilities. Executive Reporting: Create compelling, automated, executive-ready reports, dashboards, and narratives that distill complex data, trends, forecasts, and strategic implications into actionable recommendations for Finance leadership and GTM stakeholders. Team Leadership: Provide technical guidance, review work, and help raise the modeling standards and work products of the GTM FP&A team Skills We’re Looking For 5-7 years of experience in FP&A, strategic finance, revenue finance, or investment banking, with a strong focus on revenue forecasting Expert-level modeling skills (Excel/Sheets) with a commitment to formula-driven, driver based, auditable, well-documented models Experience with usage-based or consumption pricing models strongly preferred Technical aptitude: working proficiency in SQL, Python, or similar scripting, and hands-on use of AI tools to accelerate and elevate modeling, strategic analysis, and QA; experience with BI tools (e.g., Looker) and data warehouses (e.g., BigQuery, Snowflake) a plus Ownership mindset: takes a model or process from ambiguity to a repeatable, documented workflow with minimal oversight, including QA and reconciliation to source data Data storytelling: translates complex data into clear insights and recommendations for senior, non-finance audiences, with strong executive presence and attention to detail Demonstrated ability to partner cross-functionally and influence without authority Excellent communication skills with high attention to detail and executive presence Adaptable, resourceful, and excited by the challenge of working in a fast-moving, growth-stage company #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Denver Pay Range $138,847 — $173,559 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Denver, Colorado, United States, AMER; Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. As the Manager on the GTM Finance and Strategy team, you’ll operate at the center of go-to-market strategy — owning and building critical models to forecast ARR and GAAP Revenue, analyzing and providing perspective around strategic initiatives, and delivering insights that shape executive and Board decisions. You’ll partner closely with Analytics, Revenue Accounting, Revenue Operations, External Reporting, and GTM leadership. This role reports to the Sr. Manager of GTM Finance and blends strategic finance, data storytelling, technical problem-solving, and operational execution. You’ll drive forward-looking planning, help scale our forecasting infrastructure for a hybrid pricing motion that includes both subscription contracts and usage-based (consumption) revenue, and support high-visibility initiatives across the function. This is a high-impact role ideal for someone who is passionate about leveraging data and financial insight to guide strategy and operational execution in a high-growth, cross-functional environment. This is a full-time, hybrid position based out of our Oakland, CA or Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Tools/Technologies You’ll Use Claude / ChatGPT, Looker, SFDC, BigQuery, G-Suite What You’ll Do Revenue Modeling & Forecasting: Own and re-evaluate our rolling GAAP revenue and ARR forecast models, including renewal behavior (NRR), new business, and contract-level revenue recognition across subscription and consumption-based streams. Evolve forecasting frameworks using both deterministic and AI/ML-driven approaches. Usage-Based Revenue: Build and maintain forecasting approaches for consumption revenue, including committed vs. overage usage, breakage, and the migration of customers between pricing models Business Partnering: Serve as a key advisor and partner to COO, CFO, and collaboration with Analytics, delivering actionable insights to improve efficiency, optimize investments, and accelerate growth. Strategic Decision Support: Deliver analysis that informs GTM investment, pricing and packaging, and target setting, and quantify the revenue impact of key business risks and opportunities Budgeting & Forecasting: Support annual planning and monthly/quarterly forecast cycles; partner closely with Revenue Accounting on close, variance analysis, and forecast-to-actual (BvA) tracking Performance Analysis: Own key revenue and retention metric packages — including NRR, ARPA, new business mix, ROI, and cohort trends — and surface insights to the CFO, executives, and the Board Forecast & Reporting Infrastructure: Use AI Tools, or SQL (BigQuery) / Python to automate data pulls, build repeatable and auditable models, and improve the accuracy, speed, and transparency of our topline forecast; partner with Analytics, AI Transformation and Systems on data quality, integrity and self-serve reporting capabilities. Executive Reporting: Create compelling, automated, executive-ready reports, dashboards, and narratives that distill complex data, trends, forecasts, and strategic implications into actionable recommendations for Finance leadership and GTM stakeholders. Team Leadership: Provide technical guidance, review work, and help raise the modeling standards and work products of the GTM FP&A team Skills We’re Looking For 5-7 years of experience in FP&A, strategic finance, revenue finance, or investment banking, with a strong focus on revenue forecasting Expert-level modeling skills (Excel/Sheets) with a commitment to formula-driven, driver based, auditable, well-documented models Experience with usage-based or consumption pricing models strongly preferred Technical aptitude: working proficiency in SQL, Python, or similar scripting, and hands-on use of AI tools to accelerate and elevate modeling, strategic analysis, and QA; experience with BI tools (e.g., Looker) and data warehouses (e.g., BigQuery, Snowflake) a plus Ownership mindset: takes a model or process from ambiguity to a repeatable, documented workflow with minimal oversight, including QA and reconciliation to source data Data storytelling: translates complex data into clear insights and recommendations for senior, non-finance audiences, with strong executive presence and attention to detail Demonstrated ability to partner cross-functionally and influence without authority Excellent communication skills with high attention to detail and executive presence Adaptable, resourceful, and excited by the challenge of working in a fast-moving, growth-stage company #LI-Hybrid The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $148,104 — $185,130 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Singapore Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Recruiting Coordinator on the Talent Acquisition team, you will help deliver a smooth, consistent hiring experience for candidates and hiring teams. You will coordinate interviews, keep recruitment processes running efficiently, and ensure every interaction reflects a high standard of care. You will work closely with recruiters, hiring managers, and cross-functional partners to improve how we hire as we grow. Beyond day-to-day coordination, you will identify opportunities to simplify processes, improve data quality, and support projects that make our recruiting operations more effective and scalable. WHAT YOU WILL DO - Coordinate end-to-end interview scheduling across global teams and time zones, ensuring a seamless experience for candidates and interviewers. - Own candidate experience initiatives by managing feedback surveys, reporting on insights, and driving continuous improvements. - Maintain job postings, recruitment pipelines, and ATS data accuracy while identifying opportunities to streamline workflows. - Support employer branding through LinkedIn campaigns, hiring announcements, and recruitment content. - Manage the employee referral program, ensuring timely follow-up, tracking, and recognition. - Improve recruiting processes by documenting best practices, supporting tooling initiatives, and helping automate workflows. - Lead or contribute to cross-functional talent operations projects that improve the efficiency and scalability of recruitment. WHAT WE'RE LOOKING FOR - Around 4–5 years of experience in recruiting coordination, recruitment operations, HR coordination, or a similar role. - Strong written and verbal communication skills in English. - Excellent organizational and project management skills, with the ability to manage multiple priorities and deadlines. - Confidence working with spreadsheets, applicant tracking systems such as Greenhouse or Ashby, and recruitment data. - A proactive, solution-oriented approach with a focus on improving processes rather than simply maintaining them. - A collaborative working style and the ability to build effective relationships with hiring managers, recruiters, HR, and external partners. - Adaptability, ownership, and the ability to work effectively in a changing environment. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.