Вакансии

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. Relocation allowance + bonus for European and UK Candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally eligible to work in Canada . Must be capable of obtaining the required security clearance . English proficiency is required. French is considered an asset. Strong hands-on experience with spacecraft Command & Data Handling (C&DH) systems is required. About the Role We are seeking an experienced Satellite Command & Data-Handling (C&DH) System Engineer to support the design, integration, verification, and operation of onboard command, control, and data-management functions for current and next-generation remote sensing and communications satellite programs. In this role, you will contribute to the C&DH functional architecture , drive technical trade studies, support system integration and verification, and provide technical leadership throughout the spacecraft lifecycle. Key Responsibilities Translate mission-level requirements into C&DH functional and non-functional requirements. Develop and maintain system requirements, Interface Control Documents (ICDs), and system descriptions. Maintain bidirectional requirements traceability throughout the project lifecycle. Support cybersecurity and resilience considerations within C&DH system design. Lead detailed design activities involving: Onboard processors Spacecraft data buses Memory subsystems I/O interfaces Support software architecture activities, including command sequencing, telemetry packetization, health monitoring, and FDIR. Support Satellite Reference Database development and validation. Define uplink command formats, downlink telemetry structures, and ground-segment data-handling interfaces. Collaborate with Flight Software (FSW), TT&C/PDT, and Ground Segment teams to ensure end-to-end data integrity. Develop verification plans, test matrices, and validation procedures for unit, subsystem, and spacecraft-level C&DH testing. Execute functional testing, bus-protocol compliance testing, and SIL/HIL campaigns. Lead anomaly investigations, root-cause analysis, and corrective-action activities. Support spacecraft launch preparation, early-orbit checkout, and on-orbit operations. Analyze on-orbit telemetry and support updates to operational parameters as required. Support SOOH development and operator training. Contribute to technical standards, process improvements, technology roadmaps, and engineering knowledge bases. Support major design reviews, including SRR, PDR, CDR, MRR, and TRR . Mentor junior engineers and serve as a technical liaison with customers, partners, and vendors. Required Qualifications Bachelor's degree in Electrical Engineering, Aerospace Engineering , or a related field. 8+ years of C&DH engineering experience on LEO, MEO, and/or GEO satellite platforms . Deep knowledge of spacecraft data-bus and communication standards, including: SpaceWire MIL-STD-1553 CAN Ethernet CCSDS packet telemetry and command PUS services Knowledge of processors, FPGA, firmware, and embedded systems . Strong understanding of aerospace systems engineering fundamentals, space environment, and orbit mechanics. Hands-on experience supporting systems integration, testing, troubleshooting, and problem resolution . Experience with Confluence and JIRA . Ability to work independently with minimal supervision. Strong analytical and problem-solving skills, with the ability to break down complex technical problems into fundamental components. Excellent written and verbal communication skills in English . Preferred Qualifications Experience supporting end-to-end spacecraft C&DH development and integration. Experience with spacecraft commissioning, early-orbit operations, and on-orbit telemetry analysis. Experience with FDIR , command sequencing, telemetry processing, and spacecraft health monitoring. Experience with SIL/HIL testing and spacecraft bus-protocol compliance verification. French language proficiency. Experience supporting satellite programs through the full lifecycle, from early concept and design through launch and on-orbit operations.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. Relocation assistance + bonus for European and UK candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally eligible to work in Canada . Must be capable of obtaining the required security clearance . English proficiency is required. French is considered an asset. Candidates must have strong experience with fault-tolerant embedded systems supporting LEO, MEO, and/or GEO spacecraft missions. About the Role We are seeking an experienced Satellite Bus Flight Software Systems Engineer to lead and support the system-level definition, architecture, integration, verification, and operational readiness of flight software for current and next-generation spacecraft platforms. This is a systems engineering and technical leadership role at the intersection of spacecraft architecture, platform subsystems, embedded flight software, avionics, mission operations, and verification. You will ensure that spacecraft bus flight software meets platform and payload functional, performance, autonomy, safety, reliability, and operational requirements throughout the full spacecraft lifecycle—from early architecture and detailed design through integration, launch preparation, commissioning, and on-orbit operations. Key Responsibilities Translate functional, performance, safety, and security requirements into flight software requirements and architecture. Allocate requirements to software modules and execution threads while maintaining bidirectional requirements traceability. Define Flight Software (FSW) architecture, including: RTOS Initialization PUS services Autonomy Health monitoring Fault management Payload interfaces Define FDIR algorithms , isolation logic, recovery actions, safe-mode sequencing, and redundancy management. Guide the integration of FDIR logic into flight software. Develop and maintain Interface Control Documents (ICDs) for payload, platform, and ground-segment interfaces. Support Satellite Reference Database development and validation. Collaborate with payload, platform, ground-segment, and mission-operations teams to identify and resolve integration issues. Develop and support Flight Software Verification Plans and integration testing. Support SIL, HIL, fault-injection, performance, and security testing . Support verification and test automation frameworks, test case development, results analysis, and test-report certification. Support spacecraft mode and operational procedure development. Analyze on-orbit telemetry and support software updates and operational improvements. Support SOOH development and operator training. Participate in major design reviews, including SRR, PDR, CDR, MRR/TRR . Mentor junior engineers and serve as a technical liaison with customers, partners, and vendors. Contribute to engineering standards, process improvements, technology roadmaps, and lessons learned. Required Qualifications Bachelor's degree in Electrical Engineering, Aerospace Engineering, Computer Science, Embedded Systems , or a related field. 10+ years of experience working with fault-tolerant embedded systems on LEO, MEO, and/or GEO satellite missions . Experience with: CCSDS ECSS PUS services MIL-STD-1553 SpaceWire RS-422/485 CAN Ethernet Experience with real-time computing cores and/or embedded Linux . Experience with auto-coding or automated code-generation workflows. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, troubleshooting, and problem resolution . Experience with Confluence and JIRA . Ability to work independently with minimal supervision. Strong analytical and problem-solving skills, with the ability to break down complex technical challenges into fundamental components. Excellent written and verbal communication skills in English . Preferred Qualifications Experience with end-to-end spacecraft flight software development and integration. Experience with FDIR, spacecraft autonomy, safe-mode management, and redundancy management . Experience supporting spacecraft commissioning and on-orbit operations . Experience with SIL/HIL , fault injection, and automated verification frameworks. Experience integrating flight software with spacecraft payloads, avionics, and ground systems. French language proficiency. Experience supporting satellite programs from early concept and architecture through launch and on-orbit operations.

Location: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote opportunity for US and Canadian citizens. Relocation assistance + bonus for European candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Remote opportunity for US and Canadian citizens. Relocation assistance + bonus for European candidates. About the Role We are seeking an experienced Satellite and Payload System Test Authority to lead the planning, coordination, and execution of system-level testing for advanced satellite and payload communication systems. In this role, you will oversee the validation and integration of satellite platforms, payloads, and ground systems to ensure mission readiness and performance. The ideal candidate has extensive experience in satellite communications, systems engineering, and integration testing across LEO, MEO, or GEO satellite programs. Key Responsibilities Lead system-level testing, validation, and verification activities for satellite and payload communication systems. Develop and execute test strategies, procedures, and plans for satellite and payload integration. Support the integration of space and ground segment systems throughout the project lifecycle. Analyze system performance and troubleshoot hardware, software, and communication issues during testing. Collaborate with multidisciplinary engineering teams to ensure successful system integration and mission readiness. Support flight software integration, satellite database validation, and operational testing. Develop automation tools and scripts using Python or other scripting languages to improve testing efficiency. Prepare technical documentation, test reports, and engineering recommendations. Required Qualifications Bachelor's degree in Electrical Engineering or a related engineering discipline. 10+ years of relevant experience in digital communications within the space industry. Experience with LEO, MEO, and/or GEO satellite communication systems . Strong understanding of: Phased Array Antenna systems with multiple active elements Digital modulation techniques, signal processing, and networking Space and ground segment architecture, specification, and integration Flight Software and Satellite Database concepts Proficiency with Python or other scripting languages. Preferred Qualifications Experience leading system integration, verification, and validation activities for satellite or payload systems. Experience supporting satellite communications, payload development, or mission operations. Knowledge of automated test frameworks and systems engineering best practices. Strong leadership, analytical, and cross-functional collaboration skills.

Location: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian c itizens. Relocation assistance + bonus for European candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Remote Opportunity for US and Canadian Citizens. Relocation assistance + bonus for European candidates. About the Role We are seeking a Phased Array Antenna Systems Engineer to support the design, development, and integration of advanced antenna systems for next-generation satellite programs. In this role, you will contribute to phased array antenna design, beamforming technologies, system integration, and antenna testing to ensure optimal performance across space and ground segment applications. The ideal candidate has strong expertise in antenna systems engineering, RF technologies, and simulation tools within aerospace or satellite communications environments. Key Responsibilities Design, develop, and optimize phased array antenna systems for satellite applications. Support active antenna system design, beamforming, and antenna performance analysis. Conduct antenna testing, validation, and radiated performance measurements. Support the specification, integration, and verification of antenna systems for space and ground segment applications. Perform system modeling and simulations using MATLAB , Simulink , and other engineering tools. Analyze antenna parameters and recommend design improvements to optimize system performance. Collaborate with multidisciplinary engineering teams to support system integration and testing. Prepare technical documentation, test reports, and engineering analyses. Required Qualifications Bachelor's degree in Electrical Engineering or an equivalent engineering discipline. 5+ years of relevant engineering experience. Experience with: Active antenna system design Phased array antennas and beamforming technologies Antenna performance analysis and antenna parameters Antenna testing and radiated test facilities Space and/or ground segment antenna design, specification, and integration methodologies Proficiency with MATLAB , Simulink , and other engineering simulation tools. Preferred Qualifications Experience supporting satellite communications or aerospace antenna systems. Knowledge of RF system design and electromagnetic principles. Experience with antenna modeling, simulation, and system validation. Strong analytical, problem-solving, and cross-functional collaboration skills.

Location: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Remote Opportunity for US and Canadian citizens. Relocation assistance + bonus for European candidates. About the Role We are seeking an experienced Phased Array Antenna Lead Systems Engineer to provide technical leadership in the design, development, and integration of advanced phased array antenna systems for next-generation satellite programs. In this role, you will lead antenna systems engineering activities, oversee system integration and testing, and collaborate with multidisciplinary teams to deliver high-performance solutions for space and ground segment applications. The ideal candidate has deep expertise in phased array technologies, beamforming, antenna system design, and satellite communications. Key Responsibilities Lead the design, development, and integration of phased array antenna systems for satellite applications. Provide technical leadership for active antenna system design, beamforming, and antenna performance optimization. Oversee antenna testing, validation, and radiated performance measurements. Define antenna system requirements, specifications, and integration strategies for space and ground segment applications. Perform system modeling and simulation using MATLAB , Simulink , and other engineering tools. Analyze antenna parameters and recommend design improvements to maximize system performance. Collaborate with multidisciplinary engineering teams to support system integration, testing, and project delivery. Mentor junior engineers and contribute to technical reviews, documentation, and engineering best practices. Required Qualifications Bachelor's degree in Electrical Engineering or an equivalent engineering discipline. 10+ years of relevant engineering experience. Strong experience with: Active antenna system design Phased array antennas and beamforming technologies Antenna performance analysis and antenna parameters Antenna testing and radiated test facilities Space and/or ground segment antenna design, specification, and integration methodologies Proficiency with MATLAB , Simulink , and other engineering simulation tools. Preferred Qualifications Experience leading antenna systems engineering projects for satellite or aerospace programs. Expertise in RF systems, phased array technologies, and electromagnetic analysis. Experience supporting satellite communications, payload development, or space systems integration. Strong leadership, communication, and cross-functional collaboration skills.

Location: Paris; Zurich; Madrid; Amsterdam; Warsaw; Linz; Munich; London; Berlin Workplace: Remote 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 TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE A datacenter is not a cloud until software makes it one. You will lead the team that turns arriving hardware into accepted clusters. Cabling validation, burn-in, firmware, deployment validation, software stack install — all of it automated, none of it click-ops. Your KPI is time to acceptance: the hours between a rack being physically installed and it serving customer workloads. Across the industry that number is measured in weeks. You will drive it toward days, then hours, as we scale toward a gigawatt of compute across Europe. This is a founding leadership role at the intersection of hardware and software. Early on it is deliberately hands-on: most of your time in the code and the architecture, some of it on datacenter floors, because the automation has to survive contact with the machines it runs on. But the job is building and leading a team from day one — hiring your first engineers, coaching them, setting their growth paths, and running the rituals that keep quality high. As the team grows, the balance shifts toward people leadership, and you decide how fast. You shape this new team's charter and set the standard for how every future Mistral datacenter comes online. WHAT YOU WILL DO - Build the delivery pipeline in Go: provisioning, configuration, validation, burn-in, network bring-up, software stack install. - Build the team from scratch: make the first hires, onboard and coach them, own their performance and growth paths — and set the tooling standards and the playbook every future site reuses. - Own time-to-acceptance and drive it down relentlessly — measure it, break it down, kill the slowest step first. - Work shoulder-to-shoulder with Hardware Design and Fleet Health — reliability starts at delivery. - Handle GPU fleets at scale: H100 and GB200-class nodes, InfiniBand and RoCE fabrics, and the failure modes they bring. - Partner with Product Managers and the datacenter org to plan delivery waves against capacity commitments. WHAT WE'RE LOOKING FOR - You have automated bare-metal fleets — you have written the software that turns racks into clusters. If you have done it by hand, you resented it and scripted it. - Hardware fluency: servers, GPUs, NICs, switches, firmware — you can read a parts list and a topology diagram. - 8+ years building backend or infrastructure systems, with at least 2 years leading engineers — real people leadership: you have hired, coached, and grown engineers, not just set technical direction. - Deep Linux: you are comfortable well below the application layer. - You have shipped production systems in Go. Not dabbled. Shipped. - Willing to travel to datacenter sites when the work demands it. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. 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: Paris; Zurich; Madrid; Amsterdam; Warsaw; Linz; Munich; London; Berlin 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 TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE This is a founding people-leadership role. There is no team to inherit and no legacy to maintain — you build the team as well as the stack, and you are accountable for both from day one. Early on you will be deliberately hands-on, because there is no one else to solve the hardest problems — but hiring your first engineers, coaching them, and setting their growth paths starts immediately, not later. You will be the founding EM for storage on our Sovereign AI cloud. Block, filesystem, and object storage for training runs, sandboxed workloads, and general compute: you decide what we build, what we buy, and how it adds up to storage our customers can bet a business on. Some layers we deploy and harden from best-in-class vendors. The ones that matter most we write ourselves in Go — S3-compatible object storage, tiering, backup and recovery, caching layers that put cold data on cheap spinning disks. As the team grows, the balance shifts toward people leadership, and you decide how fast. You will own capacity planning across datacenters and the architecture that keeps data durable when disks, networks, and entire sites fail. Storage is a strategic bet for this org: the team you build and the calls you make will define how a gigawatt of European compute stores its data. WHAT YOU WILL DO - Stand up the storage stack — block, file, object — for training, sandbox, and general compute workloads. - Make the build-vs-buy calls: deploy and harden vendor platforms where they win; design and write our own services in Go where they don't. - Own the data plane: allocation, duplication, tiering, backup and recovery, S3-compatible APIs. - Plan capacity across datacenters and across failure domains — petabytes, not terabytes. - Build the team from zero: make the first hires, onboard and coach them, own performance and growth paths, and set the standard for ownership. - Partner with Product Managers to shape the storage roadmap and make the technical and business tradeoffs. WHAT WE'RE LOOKING FOR - 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - You have built storage systems — object, block, or distributed filesystems — not just operated them. You know what happens when a disk dies mid-write and when a rebalance collides with a backup window. - Deep distributed-systems fundamentals: durability, consistency, replication, erasure coding, failure domains. - You have shipped production systems in Go. Systems engineers coming from C++ or Rust who are ready to write Go daily should still talk to us. - You are comfortable with hardware reality: HDD, SSD, and NVMe tiers, and the economics of each. - 8+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. 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: Paris; Zurich; Madrid; Amsterdam; Warsaw; Linz; Munich; London; Berlin Workplace: Remote 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 TEAM Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all. We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. THE ROLE Agents don't run in browsers. They run in sandboxes — and you will lead the team building ours. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. We build secure, isolated, network-controlled environments with snapshotting primitives, designed for AI agents and reinforcement-learning workloads. An RL training run doesn't need one environment; it needs thousands, created and destroyed every second. An agent needs to be sandboxed from the world while still feeling fast enough to be useful. That tension — airtight isolation, at fleet scale, at low latency — is the product. Your customers are the people building the next generation of AI software on our infrastructure; the primitives you ship become the runtime their agents live in. WHAT YOU WILL DO - Build the isolation layer: microVMs or containers, namespaces, cgroups, seccomp, snapshot and restore. - Own the security boundary. Customers run code they didn't write and can't fully trust — your systems make that safe. - Scale to fleets: creation latency, density, and lifecycle management for thousands of concurrent environments. - Design and build alongside your team, owning the architecture and the hardest implementation decisions. - Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone. - Own people management for the team: hiring, performance, growth paths, and honest feedback. - Partner with Product Managers to turn frontier research needs into shippable primitives. WHAT WE'RE LOOKING FOR - 3+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write. - Deep Linux internals: namespaces, cgroups, seccomp, virtualization — ideally microVMs of the Firecracker class. - You have shipped production systems in Go. Not dabbled. Shipped. - You understand network isolation at the packet level — not just firewall rules. - Performance instincts: you know what a syscall costs, and you have the profiles to prove you've cared. - 8+ years building backend or infrastructure systems. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. 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: Montreal, Canada 📍 Location: Montreal, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be eligible to obtain or hold Controlled Goods Program (CGP) clearance . H-1B visa holders are welcome to apply. Relocation assistance is available for qualified candidates. About the Role We are seeking an experienced Flight-Operations Systems Engineer to support the design, integration, and operation of advanced satellite systems. In this role, you will contribute to flight operations, satellite automation, and ground segment integration for Low Earth Orbit (LEO) and Medium Earth Orbit (MEO) satellite missions. The ideal candidate has a strong background in satellite operations, flight software, and systems engineering, with experience supporting mission-critical space programs. Key Responsibilities Support the design, integration, and operation of satellite flight systems. Develop and enhance automated satellite operations and operational workflows. Contribute to space and ground segment design, specification, and system integration. Support flight software integration and its role in satellite operations. Work with satellite databases, telemetry structures, and operational data systems. Develop automation tools and scripts using Python or other scripting languages. Collaborate with multidisciplinary engineering teams to ensure mission success. Participate in system testing, validation, and operational readiness activities. Required Qualifications Bachelor's degree in Engineering or a related technical field. 7+ years of relevant engineering experience. Experience supporting LEO and/or MEO satellite operations (SatOps) . Experience with automated satellite operations and IoT technologies. Strong understanding of: Space and ground segment design, specification, and integration Flight software and its role in satellite operations Satellite database operations Telemetry structures and operational concepts Experience with Python or other scripting languages. Preferred Qualifications Experience supporting end-to-end satellite mission operations. Knowledge of satellite command and control systems. Experience working in commercial or government space programs. Familiarity with systems engineering best practices for space missions.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Full-Time 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally authorized to work in Canada . Must be eligible to obtain the required security clearance. Candidates may be based in the United States, Canada, or Europe , provided they meet work authorization and security clearance requirements. Relocation assistance may be available for qualified candidates. About the Role We are seeking a Digital Payload Principal Systems Engineer to provide technical leadership in the architecture, design, and delivery of next-generation digital satellite payloads. In this role, you will lead end-to-end systems engineering activities, define payload architectures, drive technical trade studies, and oversee system verification throughout the program lifecycle. The ideal candidate has extensive experience in satellite communications, digital payload systems, and LEO/MEO constellation architectures, with a proven ability to lead multidisciplinary engineering teams on complex aerospace programs. Key Responsibilities Lead the end-to-end architecture and design of advanced digital satellite payloads. Define system requirements, conduct trade studies, and perform capacity analysis. Support program execution, technical planning, and proposal development. Collaborate with customers and cross-functional engineering teams to deliver mission-critical solutions. Lead and participate in system design reviews throughout the full program lifecycle. Define requirements for key payload subsystems, including: Onboard digital processing Phased-array antennas Feeder links Optical Inter-Satellite Links (ISLs) Oversee system integration, test planning, verification, and validation activities. Provide technical leadership and mentorship to engineering teams. Required Qualifications Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Physics , or a related field. 15+ years of experience in satellite payload or communications systems engineering. Strong background in LEO/MEO constellation architecture and digital payload systems . Experience leading multidisciplinary engineering teams and complex technical programs. Strong knowledge of: Digital communications Digital signal processing (DSP) Software Defined Radio (SDR) Phased-array antenna systems Networking technologies Familiarity with simulation tools, space environments, and orbital mechanics. Excellent communication, collaboration, and technical leadership skills. Preferred Qualifications Experience with 5G Non-Terrestrial Networks (5G NTN) . French language proficiency is an asset. Experience leading end-to-end satellite payload development programs. Strong background in system architecture, verification, and mission planning for commercial or government satellite systems.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Product Designer to define the next generation of connected member experiences. In this highly collaborative, 0-to-1 role, you’ll establish the UX foundations for emerging products and create intuitive, cohesive experiences that help members better understand and act on their health. You’ll work at the intersection of product experience, software, and systems thinking, partnering closely with Product, Engineering, Design Systems, and Research. You’ll define interaction principles and scalable patterns, navigate complex product and technical constraints, and shape how members experience WHOOP across an evolving ecosystem. RESPONSIBILITIES: - Lead the end-to-end design of new connected member experiences, from early discovery and concept development through production-ready designs. - Define interaction principles, navigation models, information architecture, and scalable UX patterns that create intuitive and consistent experiences across the WHOOP ecosystem. - Design cohesive member journeys across multiple touchpoints, translating complex product capabilities and information into clear, intuitive interactions that prioritize utility and ease of use. - Partner closely with Product, Engineering, Research, Design Systems, and Platform teams to navigate constraints, make thoughtful tradeoffs, and bring high-quality experiences to market. - Prototype and test interaction models, workflows, and product concepts to validate assumptions, accelerate decision-making, and continuously refine the member experience. - Help shape the long-term UX vision for emerging WHOOP products, championing simplicity and contributing to the continued evolution of WHOOP design principles. QUALIFICATIONS: - 7+ years of product design experience, with a portfolio demonstrating end-to-end ownership of high-quality consumer product experiences. - Exceptional UX and interaction design skills, with demonstrated ability to simplify complex problems and workflows into intuitive, member-centered experiences. - Strong systems thinking, including experience developing information architecture, navigation models, reusable interaction patterns, or design frameworks. - Experience designing highly crafted mobile experiences and working across multiple touchpoints, platforms, form factors, or interaction paradigms. - High proficiency in Figma and prototyping, with the ability to use prototypes to explore ideas, communicate interaction models, and accelerate product decisions. - Strong communication and storytelling skills, with demonstrated success partnering with Product, Engineering, Research, and other cross-functional teams to influence product direction and bring complex experiences to market. - Passion for health, fitness, and building products that empower people to better understand and improve their daily lives. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $175,000-$220,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Paris 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. ABOUT THE ROLE We are hiring an LLM Scientist to push the boundaries of AI-driven scientific discovery. You will specialize in developing and optimizing large language models (LLMs), agentic AI, and deep learning frameworks to solve open problems in the natural sciences: Biology, Chemistry, Physics, and/or Materials Science. Your work will empower scientists with cutting-edge AI tools and accelerate research through: - Model-centric innovation: Improving LLMs’ capabilities to tackle complex scientific problems (e.g., literature synthesis, autonomous experimentation, rigorous derivations). - Cross-disciplinary collaboration: Partnering with Natural sciences domain experts to translate AI advancements into real-world scientific impact. WHAT YOU WILL DO - AI/ML Research: Participate in end-to-end training of LLM-based solutions, with a focus on scalability, generalization, and scientific applicability. - Data creation: Design original workflows to accumulate high quality scientific data at scale, either through synthetic or crowd sourced pipelines. - Algorithm Design: Use and improve reinforcement learning, or agentic systems tailored to Natural sciences challenges (e.g., modeling resolution, material property prediction, advanced data analysis and coding). - Interdisciplinary Bridge: Work closely with domain scientists to identify AI opportunities and refine models based on feedback. - Tooling & Infrastructure: Contribute to company infrastructure to improve usability for model training in scientific contexts and open-source AI tools for science for non-AI experts. - Autonomous Innovation: Set a research agenda for AI in science, exploring high-risk/high-reward ideas.   WHAT WE'RE ARE LOOKING FOR - AI/ML Expertise: Strong background in LLMs, deep learning, or agentic AI, with a track record of applying these to real-world problems (publications, open-source contributions, or deployed systems) – at the minimum extensive experience in computer science and ideally experience scaling synthetic data generation. - State-of-the-art Knowledge: Familiarity with the latest advancements in LLM architectures and post training. - Technical Depth: Hands-on experience with PyTorch/TensorFlow/JAX, model optimization, and scaling techniques (e.g., fine-tuning, RLHF). - Scientific Capability: Ability to understand 1 Natural Science domain at a high level (e.g., graduate level specialization + general undergrad knowledge) to design effective AI solutions. - Engineering Rigor: Proficiency in scientific computing (e.g., numerical methods, HPC) and software best practices. - Collaboration: Experience translating technical AI concepts for non-experts (e.g., scientists, engineers) and iterating based on user needs. - Mindset: Low ego, team player, and eager to tackle operational challenges (e.g., data pipelines, model deployment). MOTIVATIONAL PARAGRAPH When applying for the AI for Science team at Mistral, please describe in a short paragraph a potential project that you would like to contribute to the team, why it is challenging and interesting in general, and more specifically for Mistral. Please also highlight the specific skill set that you can bring to the team. 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: Munich; Warsaw; London 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 The Inference Foundation team owns the core of Mistral's inference stack: the inference engine and its orchestration, from the feature set and configuration that serve our models in production to the release machinery that keeps the stack current and production-grade. This is a hybrid position spanning production LLM serving, engine and platform development, and capacity engineering. You will work on three intertwined problems: 1. Optimize the inference stack at scale — feature development and fixes in the engine and orchestrator, squeezing more throughput and lower latency out of every GPU under strict quality-of-service targets. 2. Make capacity elastic — scaling up and down should be cheap and fast, not a performance cliff. 3. Power the training of our frontier models — high-performance serving that keeps RL and post-training loops running at full speed.   What You Will Do INFERENCE ENGINE & ORCHESTRATION - Develop and fix the core of the inference stack — engine and orchestrator — including feature selection, configuration, and tuning for maximum performance at scale - Own the release process for the serving stack: validated, regression-free releases through automated performance gates and progressive rollout - Drive improvements and fixes upstream when the open-source engine is the right place for them PERFORMANCE & CAPACITY AT SCALE - Optimize serving efficiency across the fleet — driving down pod startup time, tackling cold-cache regressions on scale-up, smarter caching and offloading - Optimize and maintain the optimal serving topology — overlap communication and transfers with computation, ensure optimal placement, connectivity, and routing SERVING FOR FRONTIER TRAINING - Build the serving infrastructure that powers RL and post-training for our frontier models - Optimize inference performance across the full spectrum of our workloads   What We're Looking For - Experience building and running ML/LLM services at scale, with clear latency and availability targets - Hands-on experience with inference engines such as vLLM, SGLang, TensorRT-LLM, or others - A solid grasp of inference internals: prefill vs. decode, KV-cache behavior, batching, scheduling, speculative decoding, parallelism strategies - Familiarity with distributed and disaggregated serving architectures - Comfortable debugging across the full stack — CUDA/NCCL, kernels, containers, networking, storage - Python for systems tooling and backend services; PyTorch - Kubernetes for running infrastructure at scale - GPU and networking fundamentals: CUDA runtime, NCCL, InfiniBand/RDMA It Would Be Great If You Have - Demonstrated vLLM/sglang know-how — upstream contributions, or a track record of running in demanding production environments - Hardware-aware optimization for various model architectures - Experience serving MoE models at scale (expert parallelism, expert placement/load balancing) - CUDA/Triton kernel development; Nsight Systems/Compute profiling - Rust and/or C++ in production systems 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: San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp is building a dedicated function to drive its partnerships across the AI ecosystem — labs, AI-native companies, and the investor community — and convert those into real technical and commercial outcomes. This is a newly created, high-visibility role that sits at the intersection of strategic business development, product partnership, and ecosystem relationship-building. Ramp is already embedded with key partners across the AI ecosystem, from working with leading labs on the latest models to serving as a design partner for emerging product capabilities. This role exists to deepen those relationships across every major lab and AI-native company, and turn them into something commercially meaningful. There is no playbook for this. This person will own and grow Ramp's most strategic relationships across the AI ecosystem, leading the technical side of those relationships end to end with partner product and engineering teams. The mandate spans product integrations, technical partnership strategy, deal-making, co-selling, and the creation of new revenue channels, pairing real product and engineering depth with commercial execution and ecosystem credibility. WHAT YOU'LL DO - Demonstrate technical depth to lead AI product and integration conversations end to end with partner engineering and product teams. - Own Ramp's relationships with emerging labs and AI-native companies at a true partnership level — not account management - Be embedded in the San Francisco AI community and know who is actually driving decisions at the labs, not just what the org chart says - Convert ecosystem relationships into commercial outcomes — referrals, integrations, co-selling, and new revenue channels - Do both the business development and product/integration work, combining deal-making with genuine technical engagement - Stay ahead of how leading AI companies are commercializing and going to market, and help Ramp move with them — and ahead of them - Represent Ramp externally across the San Francisco AI community: founders, investors, lab leaders, and operators WHAT YOU'LL NEED - Deep, trusted relationships at leading AI companies with the people who make decisions and influence direction — not just formal contacts - Commercial outcomes tied to those relationships, including initiatives with measurable revenue potential and smarter product integrations on both sides - Ramp is known and respected across the San Francisco AI community as a must-know fintech partner - Ramp keeps pace with — and ideally stays ahead of — how quickly the labs are changing, evolving their go-to-market strategies, and commercializing - A repeatable business development and product motion built for the AI ecosystem, not a series of one-off partnerships - An ever-evolving AI partnership strategy that includes sourcing, negotiating, contracting, executing, and growing relationships with leading AI companies Over the course of a year, success means launching public products, integrations, go-to-market initiatives, and distribution channels with labs and applied AI companies. Near-term objectives could include inclusion in model-launch announcements and joint product-integration launches. Longer-term goals will incorporate adoption of integrations and revenue targets as distribution partnerships are executed. Every day will look different, but the work will include meeting with cross-functional stakeholders internally and externally, keeping a pulse on applied AI and the labs, negotiating active contracts, refining and executing Ramp's AI partnership strategy, and helping Ramp get closer to the teams that matter at the top AI companies. NICE TO HAVES - The ideal candidate combines two qualities that are hard to find in one person: ECOSYSTEM CONNECTOR - Deep personal relationships in the San Francisco AI community — founders, lab leaders, and investors — at a level where people pick up the phone - Experience working inside or alongside leading AI partners in a way that provides genuine credibility, not just familiarity - Known and trusted by the venture capital and investor community in AI COMMERCIAL OPERATOR - Has built partnerships from zero at a high-growth company and been accountable for commercial outcomes - Can do the product and business development work simultaneously — technically fluent enough to engage on integrations and commercially sharp enough to close deals - Has a builder mindset and can design scalable programs, not just one-off relationships KEY CRITERIA - Strategic business development — can identify and close partnerships that drive real commercial outcomes - Technical aptitude — enough depth to hold credible conversations with AI lab and product teams - Systems thinking — builds scalable programs, not just one-off deals - Access — personal relationships at the decision-maker level inside labs, AI-native companies, and the investor community WHY THIS ROLE IS EXCITING - Ramp's AI partners are among the most influential partners any technology company can have right now. Getting this right matters enormously. - There is no playbook. Anyone who can do something distinctive here will create a significant advantage — for Ramp and for their own career. - This is one of the few roles that is genuinely AI-focused at a leading company in AI and technology. - Ramp is already embedded with leading AI companies and is ahead of the curve in building this function. The groundwork is there. - Ramp will give this person real runway — not a constrained, narrow mandate. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Colombia In Colombia, we’re only starting to develop our product line . This means that by joining us now, you’ll become part of one of the most exciting stages of the company’s growth — and have a direct impact on building our products and operations in Colombia. If you like working in an environment where there’s no established playbook and where your decisions can directly shape the product, this is the right time to join. We are looking for Product Analysts in various teams in Colombia: Acquisition, Operations, Credit Cards Origination, Finance, Mobile Application, etc. Your team will include graduates from top universities (MSU, MIPT, HSE, NES, etc) and winners of math and economics olympiads What makes you a great fit: Care about the company and customers Be smart Understand math Challenges that await you: Take ownership — making mistakes isn’t a problem Use your mind to create top-tier products Find insights in data and turn them into action Design metrics to improve customers' lives How we work: Honest feedback — we value open, transparent communication A high-tech environment full of smart people rebuilding finance from the ground up Fast by default — technology moves fast, and so do we Our benefits: Relocation support to Colombia, Bogotá with full visa & permit support to the employee and family You will be provided with corporate accommodation by the company Flexible work from our office Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation policy: Annual leave and paid sick leave as per applicable policies

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment. We are looking for a Senior SEO Specialist to own product-related SEO tasks from idea through release. You will turn search opportunities into initiatives and tasks for product and engineering, and confirm that what is delivered works as intended. Job Responsibilities Identify technical and on-page SEO issues (crawling, indexing, site structure, redirects, canonicals, internal linking, templates, structured data) and initiate product-related tasks when they block organic performance; Prepare implementation-ready tasks and recommendations: problem, solution, affected templates or URLs, risks, and acceptance criteria; Validate proposed work with the Team Lead and SEO team before it reaches product or engineering; Consult product and development on SEO implications of planned features, template changes, and site architecture; Participate in estimations and groomings so work is sized, sequenced, and specified well enough to build; Analyze search intent, SERP structure, and competitor behavior when it affects product or template decisions; Optimize existing page types and templates for rankings, traffic, engagement, and conversions, including titles, meta descriptions, headings, internal links, page structure, and content; Support content planning with SEO briefs, keyword maps, and optimization guidelines when work touches product surfaces; Plan information architecture and landing-page structure for new product or content surfaces; Specify and, where appropriate, implement structured data; Test implementations after release against agreed acceptance criteria; Monitor performance in Google Search Console, Google Analytics, and in-house reporting tools. Track rankings, traffic, indexing, and trends tied to shipped work, not only site-wide averages; Prepare concise updates: what moved, what did not, and recommended next product or content steps; Stay current with SEO practices and search-engine updates that affect product implementation. You’ll thrive here if you have 4+ years of hands-on SEO across on-page, content, and technical work; Experience working with high-traffic international and multilingual websites; Proven experience turning SEO findings into tickets or requirements that engineering or product teams can implement; Comfort participating in agile delivery: grooming, estimation, clarification, and post-release checks; Strong understanding of keyword research, search intent, SERP analysis, and competitor research; Working knowledge of technical SEO: crawling, indexing, redirects, canonicals, internal linking, site architecture, and template-level changes; Experience with Google Search Console, Google Analytics, crawlers, and other SEO tools; Ability to analyze SEO data and turn it into a clear recommendation, with an expected effect and a way to verify the release; Clear written communication: tickets, briefs, and short performance notes that non-SEO teams can act on; Ability to work independently, manage several workstreams, and raise issues early rather than waiting for a fully specified brief. Nice to have: Experience with programmatic SEO or large-scale template optimization; Familiarity with Looker Studio, BigQuery, SQL, or another reporting stack; Basic scripting (Python or similar) for crawls, log samples, or bulk URL analysis; Familiarity with common CMS or front-end delivery setups; Awareness of generative search / AI results as a measurement context; Experience in SaaS, marketplace, media, or other product-led digital businesses. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals. Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches at the office, and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (45 min); Technical interview (1 hour); Test task; Final interview (1 hour). Recommendations check; Job Offer.

Location: Serbia; Armenia; Kazakhstan; Georgia Location: Remote, outside Russia and Belarus Type: Part-Time Workload: 10 hours per week Time zone: CET or within ±3 hours About Transparent Hiring Transparent Hiring is a one-stop recruitment and relocation agency for IT and digital professionals looking to work and relocate in Germany and other European countries. We support the entire process — from finding a job and securing a visa to finding housing and settling in. We’ve been growing steadily for over 6 years, combining the flexibility of a startup with the reliability of an experienced international team. We are looking for a Paid Ads Specialist to manage and optimize our Meta advertising campaigns for Russian- and English-speaking audiences . This is a hands-on role for someone who understands paid social beyond simply launching campaigns. You’ll work with ready-to-use creatives and ad copy, set up and monitor campaigns, analyze performance, optimize targeting and budgets, identify which creatives perform best, and provide clear feedback and recommendations to the marketing team. What You’ll Do Set up and manage Meta advertising campaigns for Russian- and English-speaking audiences Set up targeting, audiences, placements, budgets, and campaign structures Monitor campaign performance and optimize based on results Analyze which creatives and audiences perform best Provide recommendations for creative tests and campaign improvements Track relevant market and competitor advertising trends What We’re Looking For 2+ years of hands-on experience with Meta Ads Experience with lead generation campaigns Strong understanding of Meta Ads Manager, targeting, campaign structures and optimization Experience working with Russian- and English-speaking audiences Strong analytical skills and ability to make decisions based on campaign data High attention to detail Fluent Russian and good spoken and written English Ability to work independently and take ownership of campaigns It Would Be a Plus If You Have Experience with recruitment, HR, relocation, career services or other expert-driven businesses Experience conducting competitor and advertising market research Experience with Meta Pixel, Conversions API or other tracking tools Experience working with Google Analytics or similar analytics tools Important You will not be responsible for creating ad creatives from scratch. Our marketing team prepares the visuals and ad copy. Your role is to work with the available materials, launch the campaigns, monitor their performance, identify the strongest creatives and audiences, and recommend what should be changed or tested. What We Offer Part-Time work — around 10 hours per week Fully Remote work Flexible schedule Opportunity to shape campaign strategy and optimization based on your expertise Direct impact on campaign performance and lead generation Compensation: Up to €600 gross per month How to Apply Please send us: • Your CV • A short description of your experience with Meta Ads • Examples of campaigns you have managed, including results where possible We are looking for someone who can take ownership of Meta advertising, work with campaign data, identify the strongest creatives and audiences, and turn performance insights into concrete recommendations on what to change or test.

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. Role Overview We’re looking for a hands-on Accounting Manager to join our growing team and support our general ledger accounting function. You’ll help manage the month-end close, oversee reconciliations, and own key areas of our financial statements. This role is ideal for someone who enjoys taking ownership, bringing structure to accounting processes, and partnering with a team in a fast-growing business. Key Responsibilities Month-End Close - Own the monthly, quarterly, and annual close, including the close calendar, checklist, and timely, accurate delivery of results. - Prepare and review journal entries, including accruals, prepaids, fixed assets, and payroll. - Perform and review balance sheet reconciliations, and resolve variances promptly. - Manage intercompany accounting and multi-currency activity across entities. Financial Reporting - Prepare monthly consolidated financial statements (balance sheet, income statement, cash flow) and flux analysis. - Support management, board, and investor reporting. Audit & Compliance - Serve as a key point of contact for the annual financial statement audit, including PBC schedules and supporting documentation. - Support tax filings and other compliance work with external advisors. Process Improvement - Shorten and streamline the close through automation, better tooling, and clear documentation. - Contribute to finance systems improvements and implementations. Requirements - 7+ years of accounting experience, including public accounting and in-house experience at a high-growth or public company. - CPA or equivalent preferred. - Proven ownership of the month-end close, GL, and balance sheet reconciliations. - Strong knowledge of U.S. GAAP and hands-on experience preparing financial statements. - Experience supporting external audits. - Proficiency with a modern ERP (e.g., NetSuite) and strong Excel/Google Sheets skills. - Strong attention to detail, organization, and follow-through, with the ability to manage competing priorities. - A collaborative, proactive approach and comfort working in a fast-paced environment where processes are still being built. - Based in the San Francisco Bay Area or willing to relocate for a hybrid role. Nice to Have - Experience with multi-entity, multi-currency, and international operations. - Exposure to SOX readiness or public-company reporting. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $160,000-$200,000, depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks. - The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.