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Location: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Prague, Czechia; Lisbon, Portugal; Madrid, Spain CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: cloudlinux.com We are currently hiring Staff Engineers for various projects within the Imunify360 product. Imunify360 is CloudLinux's multi-layer security suite for Linux web servers: antivirus and malware cleanup, WAF, IDS/IPS, Proactive Defense, patch management (KernelCare/Patchman), and IP/domain reputation. It runs on hundreds of thousands of shared, VPS and dedicated hosting servers, under cPanel, Plesk, DirectAdmin and standalone. The engineering org is 60+ engineers in squads covering backend, core, server agent, malware research, WAF/WebShield, and Patchman. Core services are Python; agents and performance-critical paths are Go and Rust. We run on Hetzner and our own bare metal. Check out our website for more information: https://imunify360.com/ Role Mission & Scope Most complex technical challenges in Imunify360 go beyond individual squads. A single detection change can impact the scanner, agent, UI, reputation backend, and release process. While squad leads own delivery within their teams, the Staff Engineer ensures technical alignment across the product. As a Staff Engineer, you'll be a hands-on technical leader working across the entire product , focusing on the most critical and high-impact challenges as priorities evolve. You'll drive technical decisions, improve architecture, establish engineering standards, and help teams build sustainable solutions. This is an individual contributor role , without direct people management responsibilities. You'll remain actively involved in development, spending approximately 30–50% of your time writing production code , rather than focusing solely on architectural design. While deep expertise in a particular area is valued, this role requires the flexibility to work across different components, collaborate with multiple squads, and tackle challenges wherever your expertise can make the greatest impact. What you will own Architecture and technical direction Own the end-to-end architecture of Imunify360 as a product: agent ↔ server ↔ cloud backends, data flows, and the contracts between them. Write and drive ADRs and RFCs for cross-squad changes. Run the Wed/Fri architecture sync together with the Technical Director. Keep a living tech-debt and risk register (security / compliance / uptime) with owners and dates, and get the top items funded on the roadmap. Hard cross-cutting problems (examples of what lands on your desk) Agent resource footprint on dense shared hosts: CPU, memory and I/O budgets for scanning, file monitoring (inotify/fanotify) and WAF, measured on real kernels, not benchmarks from elsewhere. Detection pipeline quality: false positive / false negative rates, signature and ML model rollout with staged gates and rollback. Upgrade and release safety across a large, heterogeneous fleet (CentOS/AlmaLinux/CloudLinux/Ubuntu, multiple control panels, old kernels). Backend scale and cost of reputation, ThreatIntel and telemetry services. Migrating hot paths from Python to Go/Rust where the data shows it pays off, and saying no where it doesn't. Engineering standards Set the bar for design reviews, code review, testing strategy, observability (Prometheus/Grafana/Sentry) and secure SDLC (OWASP ASVS, CIS Benchmarks as relevant). Lead or co-lead SEV1/SEV2 incidents when the cause is unclear or cross-squad; make sure the blameless post-mortem ships within 24 h and its actions get closed. Drive the AI-augmented SDLC in practice: show what good agentic coding looks like (prompt specificity, context provision, review quality, tool boundaries) on real changes, not slides. People multiplier (no direct reports) Mentor senior engineers and squad leads toward staff-level scope. Act as the technical bar-raiser in hiring loops for senior and lead roles. Be the engineering voice in product and sales discussions: estimates, feasibility, and no dated customer commitment without a written squad-lead estimate. Key Milestones 30 days: Shipped at least one non-trivial change to production. Can explain the full request path from agent to backend. Has a personal list of top 10 technical risks. 90 days: Owns one cross-squad initiative with an approved ADR, a measured baseline, and a staged rollout plan. Published risk register reviewed in arch sync. 6 months: That initiative is in production with before/after metrics. At least one engineering standard (e.g. release gating, agent perf budget, design review template) is adopted by 3+ squads. 12 months: Recognized by squad leads as the default escalation point for cross-cutting technical decisions. At least one senior engineer grown into broader scope with your mentorship. Requirements Must have 10+ years building and operating production software, with 3+ years in a Staff/Principal/Tech Lead scope spanning several teams. Strong production experience in Python and at least one of Go or Rust . Deep Linux internals : processes, filesystems, networking, kernel interfaces (inotify/fanotify, eBPF or similar), packaging (RPM/DEB), systemd. Track record of designing and running distributed systems at scale: async backends, queues, databases, caching, failure modes. You have owned systems that run on customer machines (agents, daemons, on-prem software) and know what upgrade safety, backward compatibility and resource budgets mean there. Security mindset: threat modeling, secure coding, handling of untrusted input (files, HTTP traffic, user content). Writes clear, short technical documents and drives decisions in async, remote teams across time zones. Uses AI coding tools (Cursor, Claude, MCP-based tooling) daily and can judge their output critically. Nice to have Experience in server security: AV/malware detection, WAF (ModSecurity/Coraza), IDS/IPS, rootkit detection, CVE/patch management. Experience with WordPress and Node.JS web application hosting at scale ML in production for classification/detection, including evaluation and safe model rollout. Observability at scale: Prometheus, Grafana, Sentry, ClickHouse or similar. CI/CD ownership: GitLab CI, Jenkins, build systems for multi-distro packaging. Open-source contributions in security or systems tooling. Benefits What's in it for you? Stay hands-on technically while owning complex, high-impact engineering work. Work on challenging Linux, automation, and cybersecurity problems across mature and newer products. Influence technical direction and make meaningful architectural decisions. Work independently with a high level of ownership and autonomy. Fully remote work with flexible working hours. 24 paid vacation days, 10 national holidays, and unlimited sick leave. Private medical insurance compensation. Co-working and gym/sports reimbursement. Education budget. Opportunity to receive a reward for innovative ideas that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

Location: New York; Palo Alto; San Francisco; Paris; 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 We are seeking a Head of Analyst Relations to build and lead Mistral's global Analyst Relations program. This is a foundational leadership role responsible for shaping how the world's most influential industry analysts understand Mistral, our products, and our long-term vision. We are establishing a new AI category, private AI for mission-critical use. And we are giving customers ownership of their AI with open weights, powerful tools to control and connect the AI, and the ability to deploy it wherever they want, from edge to cloud to dedicated sovereign hosting. Our analyst partners will help create this category, explain its importance, and guide the customers that need it. We need you to help them help us! You will serve as a strategic advisor to executives and partner closely with Marketing, Communications, Product, Sales, and Leadership to ensure Mistral is positioned effectively across the analyst ecosystem. You will own relationships with firms such as Gartner, IDC, Forrester, Futurum, Moor Insights, Constellation, and more to help establish Mistral as a category-defining company in artificial intelligence. This role reports into the CMO and works closely with the executive leadership team. WHAT YOU'LL DO - Develop and execute Mistral's global Analyst Relations program. - Build trusted relationships with leading industry analysts across AI, cloud, infrastructure, and enterprise software. - Shape and influence analyst perceptions of Mistral's products, vision, and market position. - Lead analyst engagement programs, including briefings, inquiries, advisory sessions, and major report submissions. - Partner with Product Marketing to craft differentiated messaging and category narratives. - Drive participation in key analyst evaluations, including Magic Quadrants, Waves, Marketscapes, and other relevant reports. - Translate analyst insights into actionable recommendations for leadership, Product, Marketing, and Sales teams. - Establish KPIs and reporting mechanisms to measure the impact of Analyst Relations across awareness, perception, and commercial outcomes. - Build and scale the Analyst Relations function as Mistral continues its global expansion. WHAT WE'RE LOOKING FOR - 10+ years of experience in Analyst Relations, Product Marketing, Communications, or related functions within technology companies. Experience in AR and other marketing or product disciplines is preferred. - Deep understanding of the analyst ecosystem and experience managing relationships with leading firms. - Experience supporting high-growth B2B technology or AI organizations. - Demonstrated ability to influence stakeholders across Marketing, Product, Sales, and Executive Leadership. - Comfortable operating in a fast-paced, high-growth environment with a high degree of autonomy. 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 About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; Zurich; Warsaw; London 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 Research Software Engineer on the Sandboxes team, you will design, build, and operate the platform that runs isolated environments for untrusted code at massive scale. Our work spans distributed systems, low-level virtualization, and product-minded platform design. Engineers on this team move between deep infrastructure work and understanding how researchers actually use the platform. This is a software engineering role, not an ML research role. You do not need prior ML experience; what matters is writing clean, reliable systems code that scales. You will join a small, senior team where the wrong hire is worse than no hire. WHAT YOU WILL DO - Design, build, and operate the sandboxing platform that runs untrusted code at scale across multiple Kubernetes clusters, from our own bare metal data centers to hyperscalers. - Develop the sandbox runtime leveraging Firecracker, enabling fast startup, snapshotting, and efficient scheduling without blocking expensive hardware. - Obsess over performance and latency optimisation allowing us to reach millions of concurrent sandboxes. - Write robust, well-tested systems code in Rust and Python; review code, CI/CD, and observability across the platform. - Own cross-cluster networking, security boundaries, isolation guarantees and monitoring for suspicious activity. - Collaborate with researchers and ML engineers who use sandboxes for synthetic data generation and RL training, turning their needs into platform features. WHAT WE'RE LOOKING FOR - A strong background in software engineering and distributed systems, with experience building and operating large-scale infrastructure. - Deep expertise in at least one of: Kubernetes and cluster operations, cross-cluster networking, observability, or low-level virtualization. - Fluency in Python or Rust; comfortable writing systems code where performance and security matter. - Strong software-design instincts: modular code, testing, CI/CD, observability, and a bias for reliability. - A self-starter who learns fast. Core skills matter more than specific tools — we value meta-learning ability and motivation highly. - Low-ego, collaborative, and comfortable with ambiguity in a small, high-ownership team. NICE-TO-HAVES - Experience with Firecracker, microVMs, or similar virtualization technologies. - Product-mindedness: understanding of how sandboxes are used for synthetic data generation or RL training. - Experience with GPU clusters, CUDA, or ML workloads. - Prior SRE or platform engineering experience at scale. - Open-source contributions or widely used internal tools. 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: Valencia Workplace: OnSite Role highlights - QMS Specialist - Location: Spain - Department: GMO – Manufacturing Assurance - Reports to: Global QMS Manager - Employment type: Permanent - Workplace model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters The Quality Management System (QMS) Specialist/engineer is responsible for implementation of the ICEYEs Quality Management System in our Valencia production unit to ensure consistent delivery of products and services that meet customer, regulatory, and industry standards. In this role you will partner closely with production, supply chain, Health and safety teams to ensure that our processes are aligned with business goals and embedded into daily practices. This role will report to the Global Quality Management System (QMS) manager and operate as a standalone position within the Spain facility. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities - Ensure ICEYE Quality Management System is fully implemented in our Valencia facility - Drive ICEYE production framework maturity increase in Valencia - be the subject matter expert for QMS, QA, Support Health and safety and environmental topics. - Ensure compliance with regulatory, customer, and industry requirements, serve as the main point of contact for auditors and certification bodies. - Act as an internal auditor in our internal process audits covering quality and supporting EHS topics. - Ensure controlled documentation rigor in Valencia operations - Define and track quality KPIs; prepare and present regular performance reports to leadership. - Provide training and coaching on QMS processes, standards, and quality tools; promote a culture of quality throughout the organization. What we’re looking for Must haves: - 5+ years in quality, engineering, operations, compliance, or process improvement roles. - Strong experience with digital QMS systems and data-driven improvement methods. - Strong knowledge of QMS standards (ISO 9001 required; AS9100, AQAP2110, PECAL or similar beneficial) - Experience with quality tools and risk management (RCA, CAPA, FMEA, PDCA, risk assessments). - Audit experience, either as an internal auditor or supporting external certification - Adaptability and a real willingness to learn; comfortable in a fast-paced, agile production environment where processes are still taking shape - Excellent communication, documentation, and stakeholder management skills - Ability to drive cross-functional alignment and work independently with minimal supervision - Professional fluency in both English and Spanish Nice to haves: - Degree in Engineering, Quality, Business, or related field. - Knowledge of AS9100, AQAP 2110, PECAL, or ISO 27001 - Multi-site or international corporate experience - Background in defence tech, aerospace, advanced manufacturing, or automotive - Experience with quality tools and risk management methods (RCA, CAPA, FMEA, PDCA, risk assessments). If you bring the right mindset, we can build these with you. Application Process - TA interview - Hiring Manager video interview - Home task + task review interview - Final onsite interviews Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. Working at ICEYE   At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.   How We Work (Our Values)   - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.   - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.   - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.   - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.   - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.   - Have fun: What we do matters - and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.   Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.   We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.   Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com.

Location: Distributed; Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin TX, San Francisco CA, NYC, Atlanta GA OR Denver CO About the role The GTM Intelligence team helps Cloudflare's go-to-market organization make faster, better decisions with trusted data. We work with Sales, Technical Sales, Services, Finance, and our central Data teams to make sure the people who sell, deploy, and support Cloudflare get consistent, reliable answers to the questions that matter most. We're looking for a Senior GTM Analytics Manager to set and execute the vision for how information scales across Cloudflare's technical customer-facing teams. You'll support Pre- and Post-Sales Operations, Solutions Engineering, Forward Deployed Engineering, and Professional Services. This role is less about building more dashboards or doing one-off deep dives and more about building the foundations to support true self-serve analytics.  You will focus on single source of truth artifacts, strategic alignment of metrics to actions, and the data models, metric definitions, and context layers that let anyone in these organizations get a trustworthy answer that fits their needs. That person might be an executive, a frontline manager, an engineer in the field, or an AI agent working for any of them. You'll be a technical expert and a strategic partner in one. You'll be as comfortable reviewing a dimensional model with Data Engineering as you are agreeing a metric definition with a VP of Professional Services. And you'll be our go-to voice on how analytics should change now that more and more questions get answered through AI. This is a senior individual contributor role with wide influence and no direct reports. What you'll do Define and drive a multi-year strategy for how Pre-Sales, Post-Sales, Solutions Engineering, FDE, and Professional Services find, trust, and use data, including a maturity model and a phased roadmap. Act as a thought leader on scaling information in an AI-first world, working out how semantic layers, governed metrics, and well-built context let AI assistants and agents give accurate, consistent answers grounded in our business. Review the current mix of dashboards, reports, and tools across these teams. Create a plan to consolidate them, retire duplicates, and move toward a single source of truth. Define, document, and carry out the official metrics for the teams you support. Keep metric definitions aligned with corporate definitions from Finance and Data, and resolve conflicts between teams with clear, defensible logic. Act as the main business and technical partner to the central Data team for the stakeholders you support. Influence and review the design of data models across systems such as Salesforce, professional services tools, product usage and telemetry, support, and finance. Design how people get answers: self-serve access, natural-language and AI-assisted querying, embedded insights in daily workflows, and curated metric catalogs. Set up a formal intake and governance process for new metric and data requests, including prioritization, ownership, certification, and change management. Build trusted relationships with leaders in Sales, Solutions Engineering, FDE, Professional Services, Customer Success, Operations, Finance, and Data. Explain complex technical and analytical ideas clearly to executives so they can make decisions. Desirable Skills, Knowledge, and Experience: 8+ years in analytics, business intelligence, analytics engineering, or GTM/Services operations at a high-growth B2B SaaS or technology company. Direct experience supporting at least one of the following: Pre- or Post-Sales Operations, Solutions/Sales Engineering, Forward Deployed Engineering, Professional Services, or Customer Success. You understand how these teams work, how they're measured, and how their data is created. Deep data modeling expertise, including dimensional modeling, entity design, and metric layer design. You can review and challenge a data model, not just consume one. Expert SQL skills and hands-on experience with modern data stack tools such as BigQuery, dbt, or a semantic/metrics layer (for example dbt Semantic Layer, LookML, or Cube). Strong working knowledge of GTM and services systems data, such as Salesforce, professional services automation tools, and product usage or telemetry data. A clear, informed view on how AI changes analytics, including semantic layers, retrieval and context design for LLMs, text-to-SQL, and agent-based access to governed data, plus the data foundations those need to be accurate. A track record of defining and rolling out source-of-truth metrics across multiple stakeholder groups, including handling disagreements over definitions. Proven ability to lead complex, cross-functional programs without formal authority, and to influence executives and engineers alike. Excellent written and verbal communication skills, including turning ambiguous business questions into precise technical requirements and back again. BA/BS in a quantitative, technical, or business field. A Master's in Data Science, Analytics, Computer Science, or an MBA is a plus. Compensation Compensation may be adjusted depending on work location. Compensation may be adjusted depending on work location. For San Francisco Bay Area based hires: Estimated annual salary of $167,000 - $230,000. For New York City based hires: Estimated annual salary of $160,000 - $220,000. For Colorado - Remote based hires: Estimated annual salary of $146,000 - $200,000. Application Deadline: ~January 2027 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: Hyderabad, India Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drive everything we do. Our Information Security team enables innovation at speed—securely. As digital guardians of DoorDash, Deliveroo, and Wolt, we safeguard our systems and the data of our employees, customers, riders, and partners. We defend against emerging cyber threats and embed security into every facet of the business. From building resilient defenses and responding to incidents to empowering teams with security knowledge, we are trusted partners protecting these global brands from the inside out. About the Role The Senior Security Operations Centre Specialist offers a unique opportunity to shape our global Security Operations strategy across a global footprint of DoorDash, Deliveroo, and Wolt. This role provides the platform to optimize our technology and AI investments while pioneering new methods to protect our data, people, and partners. As we expand, your specialist capabilities will be essential to our continued success. What you’ll be doing Work in a 24/7 global security operations centre, including scheduled night and weekend shifts. Lead the triage and investigation of security alerts, including phishing, malware, network attacks, security hygiene and privacy related incidents within specified SLAs. Mentor a team of SOC Specialists, providing the necessary guidance and feedback to deliver a best-in-class security service to the business. Lead the development and continuously improve operational documentation, processes and playbooks Build and manage autonomous AI runbooks to automate and scale our alert triage capabilities. Lead incident response and escalation, ensuring lessons learned are translated into continuous security improvements. Support the design, development and review of threat-detection use-cases to identify suspicious activity across our cloud environment. Feed into the risk framework of emerging and observed threats from intelligence and / or incidents (e.g., post incident activity / repair items). Support wider security incident investigations involving Threat Intelligence and Incident Response & Digital Forensics stakeholders. Keep up to date with current security trends, advisories, publications and security research across the threat landscape Leverage metrics and KPIs to improve security posture and identify opportunities for strategic optimisation Collaborate with the team to develop and help deliver cybersecurity awareness programs for employees, emphasising incident reporting and best practices. Requirements 6–8 years of experience in SOC, demonstrating success in managing security incidents and delivering platform optimisations while acting as a technical mentor and lead for shift operations. Proven experience building threat detection capabilities in a cloud-centric, fast-moving organisation. Hands-on experience with AWS security config, SOAR, GSO, EDR/XDR, Splunk and SQL queries. Practical experience ideating, configuring, managing defensive security solutions and technical project management Committed to continuous improvement, leveraging feedback to elevate both personal and team performance. Exceptional collaborative team player and a knowledge-sharing mindset. Working knowledge of security compliance standards, e.g. ISO27001, GDPR, NIS2 and PCI-DSS. Capable of working well both independently and collaboratively, whilst keeping calm, under the pressure of an incident with potentially high impact to the business. Able to communicate effectively during or after any incident update to both technical and non-technical stakeholders. Coordinate with the US, UK and EU central security teams as required. Preferred, but not required Understanding of IAM cloud security principles Experience in a DevOps environment with familiarity of CI/CD pipelines Hands-on experience with container technologies and orchestration services Knowledge of cloud security data encryption standards and principles Why Deliveroo? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎A culture built for builders High standards, collaboration, flexible working and continuous learning. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

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 JOB Mistral builds AI systems that enterprises run on their own terms, in finance, manufacturing, defense, healthcare, and the public sector. The Solution organization turns customers' hardest problems into AI they own, run, and scale on Mistral. It is one of the fastest-growing functions in the company: 650 people by end of 2026, across EMEA, the US, and Asia-Pacific, delivering measurable business outcomes for enterprise customers worldwide. The Solution organization includes Deployment Strategists, Applied AI Engineers, Infrastructure Solution Architects, and Applied Scientists. They work with enterprise customers from pre-sales through implementation and deliver AI systems that produce measurable business outcomes. Solution Operations is the function that makes this scale. It runs staffing and capacity planning across regions, the go-to-market motion by industry vertical and capability, delivery processes and tooling, the data behind our decisions, and value and customer-success measurement, with hubs in Europe, North America, and Asia-Pacific. We are hiring a Head of Solution Operations. We are looking for an entrepreneurial COO or a former Forward Deployed Engineer with years of experience. This is a build-the-1-to-10 role: you will take a young, fast-growing function and turn it into the operating system that lets Solution scale from hundreds to thousands of people without losing what makes it work. You will lead a team of program leads and regional operators across three continents, and work as a business partner to Solutions leadership. WHAT YOU WILL DO - Own the Solution operating system end to end. One process from pre-sales to post-sales, a single source of truth for people, projects, and opportunities, the Solution tooling stack, and safety, security, and compliance built into how the team works. - Industrialize what already works. Turn delivery and vertical playbooks, staffing frameworks, and the value and ROI methodology into reusable assets the whole team runs on, and drive their adoption in every geography. - Build the global operating model. Keep core operations centralized while ensuring real adoption and the right local adaptation across EMEA, the US, and Asia-Pacific, with full-stack regional operators on the ground. - Staff demanding customer engagements. Own capacity planning and forecasting, skills-to-project matching, time-to-staff, utilization, and bench health across all geographies. - Make customer success measurable. Stand up delivery-outcome measurement and customer-satisfaction systems, and run the feedback loop that turns field learnings into product requirements and reusable IP. - Make AI-native operations the default. Build internal tools, agents, and automations that remove manual work from planning, staffing, reporting, and delivery follow-ups, starting with your own team. - Lead and grow the team. Hire, mentor, and develop program leads and regional operators, raise the technical bar of the function, and build the hiring plan for its next phase. - Partner across functions. Work daily with Solution leadership, regional Sales leadership, Product and Engineering, RevOps, and Talent Acquisition, and bring executive judgment on where to invest, slow down, or say no. HOW WE WORK IN SOLUTION - We care about people and outputs. What matters is what you ship. - The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not copying what worked before. - We say what we mean. Feedback is direct and given because we care. No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it. ABOUT YOU Whatever your path, you bring: - Extensive leadership experience, with demonstrated impact building and leading teams or functions in a fast-scaling environment. - A track record of industrializing something handcrafted but working: processes, systems, and teams that scaled an order of magnitude without losing what made them work. - The ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. You are hands-on and biased toward action. - Data-driven and AI-fluent: you build the internal tools, automations, dashboards, and AI workflows you rely on. - Global operating range: you work naturally across geographies and cultures, with the executive presence to hold a room with C-level stakeholders and the credibility to challenge senior leaders. - Stakeholder management: you align competing priorities and drive decisions without formal authority. - Fluent in English; additional languages are a plus. IDEALLY - Experience in enterprise software, AI, or deep-tech delivery, or top-tier strategy consulting on complex technical transformations. - Experience operating at global scale across EMEA, the US, and Asia-Pacific. - Hands-on experience building AI-native operations: automating workflows with LLMs and agents rather than prompting a chatbot. - MBA or advanced degree preferred. 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: Berlin Workplace: Hybrid At Upvest, we are on a mission to make investing as easy as spending money. Upvest empowers businesses to offer a wide range of investment products and the best experience in the field of capital market investment and retirement planning. Upvest’s Investment API is easy to integrate so that fintechs and financial institutions can save resources and fully focus on their core business. We are proud to partner with Europe’s leading Fintechs and financial institutions such as DKB, Revolut, N26 and Raisin. Founded in 2017 by Martin Kassing, Upvest now brings together over 270 talented professionals from more than 70 nationalities. Upvest is backed by €280M in total funding from world-class investors, including BlackRock, Tencent, Sapphire Ventures, and Bessemer Venture Partners, Earlybird, Notion Capital, and Motive. Our latest €105M funding round in March 2026 - led by Sapphire and Tencent - serves as a massive catalyst for our growth, allowing us to offer premier investment experience. About the role: As an AFC (Anti-Financial Crime) Operations Intern at Upvest, you’ll be at the forefront of our financial crime defense, playing a hands-on role in safeguarding our platform and our clients. You’ll execute Upvest’s first-line-of-defense (1st LoD) AFC processes day to day, the case work that keeps our brokerage infrastructure clean and compliant. This is a full-time, 6-month internship for someone with a first exposure to AFC / KYC or to the financial sector more broadly, for example through studies, customer support, banking operations, or a previous internship, who is ready to take on a real caseload and grow in autonomy. Depending on performance and business needs, the internship may be extended or converted into a full-time position. We’re looking for a reliable, detail-oriented person who understands the basics of KYC/AML and is comfortable managing high-volume operational tasks. What you’ll do: - Conducting PEP and Sanctions screening, researching and dispositioning hits as true matches or false positives, with clear, well-documented rationale. - Performing KYB checks for corporate onboarding. - Carrying out KYC sample checks, transaction monitoring, and managing the resulting follow-ups with our clients. - Executing and maintaining AFC procedures and controls in line with regulatory requirements and internal policy. - Using and helping improve our automation and tooling to make case processing faster and more consistent, for example AI assistants, workflow automation (e.g. n8n), data validation and reporting in the Google Suite (Sheets, Apps Script) and Looker, and basic SQL for querying and cross-checking case data. - Collaborating with the rest of the AFC Ops team and the AML team (2nd LoD) to continuously enhance our AML systems, tools and workflows. What you bring: - A strong analytical mindset, exceptional attention to detail, and a genuine interest in compliance and financial-crime prevention. - A foundational understanding of KYC/AML concepts, gained through your studies, a previous internship or early work experience in a fintech or financial institution. - Early experience in a regulated environment is a plus, but not required. - Comfort with high-volume, repeatable operational tasks and the discipline to keep quality consistent case after case. - Curiosity about automation and the ability to quickly master new tools, systems and data. - Excellent communication skills and a collaborative, reliable working style. - A completed Bachelor’s degree is preferred but not essential. - Good communication skills in English. How we Upvest in you: - Impact-driven work: We’re building the infrastructure that will power the future of investing in Europe. It’s complex, ambitious, and meaningful. You’ll work with modern technologies and create something entirely new. No legacy systems, no limits. - Team celebrations: Participate in company-wide events, such as UpFest, dinners, offsites and our Holiday party, to connect with colleagues and celebrate our achievements. - Inclusion: We’re committed to a culture where everyone belongs and thrives. Our Employee Resources Groups foster inclusion and connection, like Upfem Black at Upvest, Up&Out, and UpVergent. Our Values: - Make it easy for others. We simplify the complex and act with the best intentions - Own the outcome. We are proactive, fast and confident to get the job done, valuing progress over perfection. - Rise to the challenge. We aim high and push the boundaries. We stay curious, learn and celebrate our wins together. - Tell the story. We start with the Why to align on purpose. We are transparent and share knowledge to empower and inspire others. Upvest is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Paris; Warsaw; London 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. As a Research Engineer on the Orchestral team, you will help build the agentic platform we use to train and evaluate our models. Orchestral is the system our researchers rely on to run training and evaluation at scale — from the rollout engine that powers agentic workflows to the infrastructure that keeps their workloads running reliably. What you build becomes the foundation the whole science team works on. Your work will span the platform's core: the library, tooling, abstractions and rollout engine — including new capabilities like long-running tasks, subagents and RL features — and the machinery that runs data and jobs at scale, with a focus on resiliency, routing and request handling. You will own significant pieces end to end, from design to production. This is a software engineering role rather than an ML or infrastructure-operations one: RL or PyTorch experience is not required, and you will spend your time building the platform, not operating it. You will be building a distributed RL system, with the scientists as your users. WHAT YOU WILL DO - Design and build the core of the Orchestral platform: the library, abstractions and tooling researchers use to train and evaluate models. - Build and evolve the rollout engine, shipping new capabilities such as long-running tasks and subagents. - Run Orchestral as a production system: keep training and evaluation workloads reliable at scale. - Improve how data and jobs flow through the platform as usage grows — scheduling, routing and request handling. - Treat researchers as your users: understand their workflows and turn recurring needs into robust, shared tooling. - Raise the bar on engineering quality across the platform: testing, code review, CI/CD, observability and documentation. - Contribute to open-source rollout-engine and agent-infrastructure projects where it benefits the platform. WHAT WE'RE LOOKING FOR - Experience directly building and debugging complex distributed systems at scale, with an emphasis on reliability and scalability. - Strong Python skills and solid software-design instincts: testing, code review, CI/CD. - A builder mindset: you have constructed systems from the ground up, not just operated polished ones. - A track record in small teams running complex systems at scale — for example in finance, crypto or ad tech. - Self-starter, low-ego and collaborative, with a product mindset toward your users. - Curiosity about ML and RL — this experience is not required, but a desire to learn is. NICE-TO-HAVES - Hands-on experience with Ray or similar distributed-computing frameworks. - Open-source contributions, especially to rollout-engine or agent-infrastructure projects such as SLIME, verl or PrimeRL. - Experience building or working with agentic workflows and environments. 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: Poland Workplace: remote A company Cybersecurity organization is seeking a Security Operations Center (SOC) Analyst to provide front-line monitoring, investigation, and response across the firm's global environment. The role is intended for a technical professional with foundational cybersecurity knowledge and practical experience in security operations, IT operations, infrastructure support, networking, systems administration, or a related discipline. The analyst will use enterprise security platforms and approved AI-assisted capabilities to assess threats, document findings, execute established response procedures, and escalate significant or ambiguous events. The position provides a development path into senior SOC analysis, incident response, threat hunting, detection engineering, and cybersecurity engineering. Measures of Success Independently investigates routine alerts and follows escalation standards. Produces complete, concise, and defensible investigation records. Demonstrates proficiency with the firm's primary security platforms and playbooks. Contributes measurable improvements to runbooks, detections, automation, or analyst workflows. Builds trusted working relationships with Cybersecurity, Infrastructure, and business stakeholders.

Location: Toronto; Calgary; Winnipeg; Canada; London; Vancouver; United Kingdom; Halifax; Edmonton; Ottawa; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As our VP of Sales - Global Public Sector, you will spearhead year-over-year global revenue growth by developing and executing on enterprise level PUBSEC customer acquisition strategies. You will drive long-term success through strategic development, coaching, and expanding Cohere’s presence in the public sector. In this pivotal leadership role, you will cultivate and guide our sales team to exceed revenue targets and organizational goals, while fostering a culture of excellence and innovation. Key Responsibilities As our VP of Public Sector Sales you will: - Develop, execute, and lead a comprehensive, global go-to-market growth strategy and sales plan for the Public Sector, driving revenue growth and market expansion working with other regional sales teams. - Provide sales and operational leadership to Cohere’s PUBSEC sales team, ensuring alignment with company objectives and priorities. - Partner with Marketing, Product, and Engineering teams to synchronize sales efforts with broader company goals. - Represent Cohere at PUBSEC industry events, conferences, and networking opportunities, as well as with regulators and government agencies, in collaboration with other regional and global leaders in Cohere. - Manage and nurture relationships with government decision-makers and partners to ensure Cohere’s success in the region. Identify and pursue new business opportunities, negotiating and closing high-value deals. - Collaborate with global teams to strengthen anchor relationships and establish best practices for enterprise-level project implementations, ensuring strong client engagement throughout project lifecycles. Qualifications This career opportunity may be a good match for you if you: - Have 10+ years of PUBSEC sales and leadership experience leading go-to-market efforts and driving revenue growth for fast paced technology organizations. - Have an established network, including federal agencies, prime contractors, and industry associations with an emphasis on the Defense and Intelligence communities. - Possess a proven track record of leading capture and sales efforts for consultative solution sales and business development efforts, with a deep understanding of regional procurement and budget cycles, customer success, and resource allocation. - Have exceptional communication and leadership skills, with the ability to build cross-functional relationships and influence at all levels. - Are comfortable operating in a matrix environment, coordinating efforts across cross-functional teams and regions without the need for a large direct organization. - Are a self-starter with an entrepreneurial mindset, capable of working independently, rolling up sleeves, and driving impact as a ‘builder.’ - Experience in AI or a related industry is highly desirable. - Must be willing to travel (25-40%). WORKING LOCATION: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Lisbon; Portugal Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Portugal (Lisbon) - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - Must be eligible and able to attain relevant national and NATO security clearances. - Must be based in-country and native level speaker of the country you're deploying to. THE MISSION OF THE FORWARD DEPLOYED AI ENGINEER In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. DAY TO DAY RESPONSIBILITIES: PLATFORM DEPLOYMENT & INTEGRATION - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers). - Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters. - Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools. - Troubleshoot deployment issues in disconnected environments without external internet access. AI SOLUTION DEVELOPMENT & CUSTOMIZATION - Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis. - Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks. - Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language. - Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources. DATA FUSION & INTELLIGENCE WORKFLOWS - Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT). - Develop automated workflows that correlate and cross-reference information across different data modalities. - Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs. CUSTOMER ENGAGEMENT & RAPID PROTOTYPING - Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems. - Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements. - Conduct hands-on training sessions on platform capabilities and AI workflow usage. - Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams. WHAT WE ARE LOOKING FOR MUST HAVE SKILLS: - 3+ years hands-on software engineering building and deploying production systems. - Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust. - Hands-on experience with LLMs, prompt engineering, and RAG systems. - Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases. - Experience with Docker and deploying in secure / isolated / air-gapped environments. - Practical experience with APIs, data pipelines, and integrating systems in production, - Familiarity with Linux and basic Kubernetes operations. - Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture. - Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. NICE TO HAVE SKILLS: - Experience in defense, intelligence, or government operational environments. - Deploying to on-prem data centers and/or air-gapped networks. - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience with MCP integrations, multi-agent systems, or agentic workflows. - Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD. - Understanding of intelligence analysis workflows and defense/government requirements. - Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS). - Background in solution engineering, technical consulting, or customer success. - Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups). APPLICATION PROCESS - Talent Acquisition Interview - Take home task - Hiring Manager Interview - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com

Location: Quonset, United States 📍 Location: Quonset, RI 📄 Employment Type: Contract 🏢 Work Arrangement: On-site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements 4+ years of hands-on experience in testing, inspection, or manufacturing assembly. Experience with high-pressure testing, including hydrostatic or pneumatic testing, leak detection, or comparable quality-verification testing. Ability to read and interpret technical documentation, engineering drawings, and detailed test plans. Mechanical aptitude with high-pressure systems, pumps, fittings, fluid manifolds, and instrumentation gauges. Strong attention to detail and procedural discipline. Must be eligible to obtain and maintain an active U.S. Secret security clearance . About the Role We are seeking a hands-on Pressure Vessel Test Technician to operate and maintain a hydrostatic test chamber used to validate sealed vessels, housings, and pressurized components for advanced underwater systems. This contract opportunity focuses on executing pressure tests, monitoring pressure data, identifying leaks and structural anomalies, and preparing accurate test documentation. You will work closely with production, quality, and engineering teams to verify that components meet engineering specifications before integration. The ideal candidate will bring practical pressure-testing experience, strong mechanical aptitude, and a safety-first approach to operating high-pressure equipment and inspecting critical components. What We’re Looking For We’re looking for a safety-conscious test technician with hands-on experience in hydrostatic or pneumatic testing, leak detection, and mechanical inspection. The ideal candidate can independently prepare test setups, operate pressure-testing equipment, interpret gauges and sensor data, identify nonconforming conditions, and maintain accurate test records. Strong candidates will combine technical testing skills with procedural discipline, attention to detail, and the ability to collaborate with production, quality, and engineering teams. Experience in maritime, aerospace, defense, or subsea systems is a plus. Key Responsibilities Hydrostatic Testing & Pressure Validation Set up, operate, and monitor the hydrostatic test chamber. Perform pressure testing on sealed vessels, housings, and related components. Follow established procedures to reach specified proof pressures and maintain required dwell times. Monitor pressure decay and check for leaks throughout testing. Ensure testing is performed according to approved procedures and engineering requirements. Test Setup & Fixturing Prepare test articles by installing fittings, plugs, seals, sensors, and fluid interfaces. Verify test fixtures and setups before pressurization. Maintain and stage testing fixtures, high-pressure tooling, and supporting hardware. Ensure test setups are properly configured before beginning each procedure. Inspection & Anomaly Identification Visually inspect components before, during, and after testing. Identify leaks, seal degradation, weld flaws, structural anomalies, and other nonconformances. Document and isolate nonconforming conditions. Support investigations into failed components and help identify potential root causes. Data Recording & Documentation Record test parameters, cycles, results, and observed conditions. Complete test logs, formal reports, and quality-system documentation. Interpret pressure gauges and sensor data to maintain test integrity. Ensure test results are accurate, traceable, and properly documented. Equipment Maintenance & Safety Perform routine preventive maintenance on chambers, pumps, valves, high-pressure lines, and instrumentation. Identify equipment requiring repair, overhaul, or recalibration. Follow safety procedures for high-pressure pneumatic and hydrostatic operations. Maintain clean and organized test areas. Report process anomalies, equipment hazards, and other safety concerns. Cross-Functional Collaboration & Process Improvement Coordinate test schedules and communicate results to production, quality, and engineering teams. Support root-cause investigations for failed units. Provide technical feedback on recurring manufacturing issues and design considerations. Recommend improvements to test documentation, fixtures, cycle times, and chamber throughput. Help improve testing efficiency, consistency, and overall process reliability. Required Qualifications 4+ years of hands-on experience in testing, inspection, or manufacturing assembly. Experience with hydrostatic or pneumatic pressure testing, leak detection, or comparable quality-verification testing. Ability to interpret technical documentation, engineering drawings, and test plans. Strong attention to detail when executing procedures and recording empirical data. Mechanical aptitude with high-pressure systems, pumps, fittings, fluid manifolds, and instrumentation gauges. Effective written and verbal technical communication skills. Strong safety awareness and ability to follow detailed testing procedures. Eligibility to obtain and maintain an active U.S. Secret security clearance. Preferred Qualifications Experience in maritime, aerospace, or defense manufacturing . Experience with hydrostatic proof, leak, or burst testing of sealed electronic enclosures or pressure hulls. Familiarity with subsea robotics, AUVs, UUVs, or marine equipment . Current or previous Visual Testing (VT) or Penetrant Testing (PT) inspection credentials. Experience with ERP or MES platforms for work order tracking and test data logging. Current or previous overhead crane, rigging, or confined-space certifications. Technical certificate, trade diploma, or Associate degree in a relevant technical or mechanical field.

Location: Quonset, United States 📍 Location: Quonset, RI 📄 Employment Type: Contract 🏢 Work Arrangement: On-site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Technical background in electronics within robotics, defense, aerospace, avionics, or related industries. Experience preparing, setting up, and executing detailed test procedures. Ability to read electrical schematics, wiring diagrams, engineering drawings, and technical documentation. Hands-on experience with digital multimeters (DMMs), oscilloscopes, benchtop power supplies, and function generators. Must be eligible to obtain and maintain an active U.S. Secret security clearance . Willingness to support offshore field operations, testing, or vessel trials when required. About the Role We are seeking a hands-on Manufacturing Test Technician to support the testing, troubleshooting, and integration of complex electromechanical assemblies used in advanced Autonomous Underwater Vehicle (AUV) systems. This contract opportunity focuses on executing subsystem end-of-line (EOL) tests, inspecting electronic assemblies, diagnosing electrical issues, and supporting pressure vessel production and testing processes. The successful candidate will work closely with engineering and operations teams to ensure test quality, accurately document results, troubleshoot hardware issues, and help meet production milestones. What We’re Looking For We’re looking for a detail-oriented test technician with a strong electronics background and practical experience executing test procedures in a manufacturing or technical environment. The ideal candidate can independently operate electrical test equipment, interpret schematics and engineering drawings, diagnose circuit-level issues, and maintain accurate test documentation. Strong candidates will combine hands-on testing and troubleshooting skills with a commitment to safety, quality, and continuous improvement. Experience with subsea robotics, underwater systems, or pressure vessel testing is a plus. Key Responsibilities Testing & System Integration Support pressure vessel assembly and testing as part of AUV integration. Build, test, and integrate complex electrical and mechanical assemblies. Execute subsystem end-of-line (EOL) tests according to established procedures and documentation. Prepare, configure, and execute detailed test procedures to verify assembly performance. Configure devices by flashing and loading specified software and firmware versions. Support testing and integration activities to meet production requirements. Electronics Inspection & Troubleshooting Perform incoming quality inspection testing on printed circuit board assemblies (PCBAs). Troubleshoot, diagnose, and repair electrical and electronic circuits down to the component level. Use digital multimeters, oscilloscopes, benchtop power supplies, and function generators to investigate electrical issues. Interpret electrical schematics, wiring diagrams, engineering drawings, and technical documentation. Identify hardware issues and support corrective actions to maintain product quality. Pressure Vessel Production & Process Improvement Support the refinement, documentation, and continuous improvement of pressure vessel production and test processes. Assist with testing and troubleshooting activities related to pressure vessel systems. Follow established procedures and technical specifications throughout manufacturing and testing. Contribute to improvements in test efficiency, consistency, and reliability. Quality, Documentation & Safety Maintain 5S standards across test benches and work areas. Perform physical part inspections and close out assigned work orders. Accurately document test procedures, results, and identified issues. Follow facility safety protocols and established testing procedures. Maintain test integrity and attention to detail throughout all assigned activities. Equipment & Laboratory Support Support equipment upkeep and calibration tracking. Maintain tooling organization and laboratory inventory. Keep test benches and work areas organized and ready for testing. Help ensure test equipment and tools are maintained appropriately. Offshore Operations & Field Testing Support offshore field operations, testing, or vessel trials when required. Assist with troubleshooting and testing during field activities. Follow applicable safety procedures during operational support. Required Qualifications Solid electronics background in a relevant technical industry. Demonstrated experience preparing and executing detailed test procedures. Working knowledge of electrical engineering concepts and circuit theory. Ability to read and work from technical documentation, electrical schematics, wiring diagrams, and engineering drawings. Hands-on proficiency with standard electrical test equipment, including: Digital multimeters (DMMs) Oscilloscopes Benchtop power supplies Function generators Strong attention to detail, documentation, organization, and test integrity. Ability to work independently, adapt to changing priorities, and meet deadlines. Strong written and verbal communication skills. Eligibility to obtain and maintain an active U.S. Secret security clearance. Willingness to support offshore field operations, testing, or vessel trials when required. Preferred Qualifications Experience with subsea robotics, AUVs, UUVs, or underwater equipment . Experience safely handling electrical systems up to 400 VDC . Subsea cable splicing, potting, or custom wire harness fabrication experience. Experience with hydrostatic test setups, pressure vessels, or high-pressure pneumatic and hydraulic systems. Current or previous IPC-A-610 and/or IPC/WHMA-A-620 certifications . Experience in low-volume, high-mix manufacturing or prototype-to-production environments.

Location: Quonset, United States 📍 Location: Quonset, RI 📄 Employment Type: Contract 🏢 Work Arrangement: On-site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements 4–12 years of relevant electronics technician experience in robotics, defense, avionics, or related fields. Experience with complex electromechanical assemblies, tight-tolerance components, enclosures, and wire routing. Ability to read electrical schematics, engineering drawings, and technical documentation. Hands-on electrical debugging experience using digital multimeters, oscilloscopes, or similar equipment. Understanding of electrical engineering principles and the manufacturing lifecycle. Must be eligible to obtain and maintain an active U.S. Secret security clearance . Willingness to support offshore operations travel if required by the contract. About the Role We are seeking a hands-on Electronics Technician to support the assembly, testing, and integration of advanced Autonomous Underwater Vehicle (AUV) systems. This contract opportunity involves working with complex electrical and electromechanical assemblies while collaborating with engineering and manufacturing teams to support production and delivery milestones. The successful candidate will have practical electronics assembly and troubleshooting experience, strong attention to detail, and the ability to follow engineering specifications while contributing to the reliable production of advanced underwater systems. What We’re Looking For We’re looking for an experienced electronics technician who can build, test, integrate, and troubleshoot complex electrical assemblies in a manufacturing environment. The ideal candidate is comfortable working with intricate wiring harnesses, soldering electronic modules and printed circuit board assemblies (PCBAs), reading technical documentation, and using electrical test equipment to identify and resolve issues. Candidates with backgrounds in defense, robotics, avionics, subsea systems, or low-volume, high-mix manufacturing are encouraged to apply. Key Responsibilities Electronics Assembly & Integration Build, test, and integrate complex electrical assemblies into AUV platforms. Support pressure vessel fabrication and assembly as part of overall AUV production integration. Perform detailed electromechanical assembly involving tight tolerances, complex components, enclosures, and wire routing. Fabricate complex wire harnesses and solder electronic modules and printed circuit board assemblies (PCBAs). Modify commercial off-the-shelf (COTS) components to support manufacturing and integration requirements. Electrical Testing & Troubleshooting Perform electrical debugging using digital multimeters, oscilloscopes, and other relevant test equipment. Troubleshoot electrical and electromechanical assemblies during manufacturing and integration. Configure devices by flashing or loading the correct software and firmware versions. Follow electrical documentation and engineering specifications to ensure compliance and product quality. Fabrication, Tooling & Process Improvement Design, prototype, and scale manufacturing jigs and fixtures to improve assembly and test efficiency. Help develop, document, and improve pressure vessel production processes. Support manufacturing workflow improvements and production requirements. Provide technical feedback to engineering and manufacturing teams. Quality, Documentation & Manufacturing Operations Maintain organized work areas using 5S practices . Perform part inspections, close work orders, and follow established safety procedures. Support tool and equipment maintenance and calibration tracking. Assist with raw material inventory management. Follow engineering drawings, electrical schematics, work instructions, and technical documentation. Maintain high standards of organization, accountability, and product quality. Offshore Operations Support Provide offshore operational support when required under the contract scope. Assist with field activities related to advanced underwater systems. Follow applicable technical and safety procedures during operational support. Required Qualifications 4–12 years of relevant electronics technician experience. Ability to perform detailed electromechanical assembly work involving tight tolerances and complex wire routing. Familiarity with electrical engineering principles and concepts. Strong understanding of the manufacturing lifecycle. Experience working from technical documentation, electrical schematics, and engineering drawings. Hands-on electrical debugging experience using equipment such as digital multimeters and oscilloscopes. Strong attention to detail, organization, accountability, and product quality. Excellent written and verbal communication skills. Ability to work with urgency and adapt to changing priorities. Eligibility to obtain and maintain an active U.S. Secret security clearance. Willingness to support offshore operations travel if required by the contract. Preferred Qualifications Experience with subsea robotics, AUVs, UUVs, or underwater equipment . Experience working with electrical systems up to 400 VDC . Avionics experience. Subsea cable splicing or fabrication experience. Experience with pressure vessels, pressure systems, or related equipment. IPC-A-610 and/or IPC/WHMA-A-620 certification . Familiarity with JIRA, Teamcenter, NetSuite, or equivalent systems. Experience in low-volume, high-mix manufacturing environments.