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Location: New York 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 an experienced Engineering Lead to join our Inference API team. In this role, you will lead a new team dedicated to helping evolve our Inference APIs to enable a state of the art inference stack. You will help ship enterprise-level features, align on evolving API formats, and help improve specific modalities (audio, OCR, etc). You’ll work to scale the team as they grow, help prioritize and support work in a fast paced environment, and build a healthy team culture. This is a highly visible role with the opportunity to shape how Mistral’s technology is adopted globally and unlock large business opportunities What You Will Do - Remove obstacles and create an environment where your team can focus on building solutions. - Translate product vision into technical reality, collaborating closely with the Product team. - Ensure applications are performant, stable, and responsive. - Uphold high code quality standards through reviews, testing, and automation. - Own the full software development process, from design to deployment. - Plan projects, including roadmaps, deadlines, and task allocation. - Collaborate with stakeholders across Engineering, Product, and Design. - Support team growth through hiring, onboarding, and mentorship. What We're Looking For - Experience building and managing engineering teams. - Proficiency in Python and at least one web framework (FastAPI, Django, Flask). - Proficiency in C#, Golang, TypeScript and at least one web framework. - Experience with large-scale distributed systems. - Experience working with cross-functional teams, such as Product, Design, and Business. - Knowledge of databases, caching mechanisms, and messaging systems. - Strong problem-solving abilities and attention to detail. - Ownership mindset and ability to ship products end-to-end. - Excellent communication skills and a low-ego, team-first attitude. 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: United States Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... ClinChoice is searching for a Clinical R Data Scientist Consultant to join one of our clients. We are seeking a Clinical R Data Scientist Consultant with strong experience in R and a solid background in clinical programming . The ideal candidate will have hands-on experience developing SDTM and ADAM datasets using R, along with working knowledge of SAS. This role requires someone who can support clinical trial deliverables, ensure regulatory compliance, and collaborate closely with biostatistics and clinical data teams. Key Responsibilities Develop, validate, and maintain SDTM and ADaM datasets using R following CDISC standards. Support TLF (Tables, Listings, Figures) generation in R or SAS as needed. Write efficient, reproducible, and well-structured R scripts for clinical data analysis and reporting. Collaborate with statisticians, data managers, and clinical teams to understand programming requirements. Perform QC checks , reconcile data issues, and ensure deliverables meet regulatory expectations (e.g., FDA, EMA). Contribute to programming workflows, documentation, and version control best practices. Support automation initiatives and R-based pipeline development. Utilize SAS for legacy studies or where SAS support is required. Required Qualifications Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field. 2-3+ years of experience in clinical programming , with a strong focus on R. Proven experience in creating SDTM and ADaM datasets using R. Working knowledge of SAS programming . Solid understanding of CDISC standards (SDTM, ADaM). Experience with clinical trial data, regulatory submissions, and QC processes. Strong analytical, problem-solving, and documentation skills. Required Qualifications Experience with R packages such as tidyverse, haven, pharmaverse (e.g., admiral, tidyCDISC) , or other clinical programming toolkits. Understanding of R Markdown, Shiny apps, or reproducible reporting tools. Exposure to GxP validation, version control (Git), and automated workflows. Experience working in a CRO or pharmaceutical environment. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our low industry-average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Senior #Contract

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building custom silicon for Claude. The hardware our models run on is one of the most direct levers we have on capability, cost, and reliability — and we've decided to take design authority over it ourselves. We're looking for a Technical Program Manager to own end-to-end execution of our silicon, from architecture definition through tapeout, first-silicon bring-up, and production ramp. You'll be working alongside a small group of domain experts across front-end design, verification, physical design, DFT, analog/mixed-signal, foundry, and packaging. There is no process to inherit — you'll build the execution machinery this program runs on. This is a partner-heavy program by design. You'll drive a portfolio of external engagements — ASIC design services, IP vendors, foundry, and OSAT. You should have shipped chips before, know what a realistic silicon schedule looks like and its failure modes, and be comfortable making consequential program calls without a large organization behind you. And because this is Anthropic, you'll have Claude as a collaborator — we expect the TPMs on this team to push hard on what AI-assisted program management can look like. Key responsibilities Own the integrated silicon program plan — architecture closure, RTL freeze, DV milestones, IP delivery, PD closure, DFT, tapeout, and post-silicon bring-up. Drive external partner execution across ASIC design partners, IP vendors, foundry, and packaging/test. Run technology and IP selection as a program: track candidate vendors and options, drive evaluations to a decision, and land the build / buy / license calls with engineering leadership. Build the execution mechanisms a silicon team needs — milestone definitions, risk and dependency tracking, design reviews, release management, exec reporting — and keep them lightweight enough that engineers actually use them. Manage the interface between silicon and its consumers: hardware systems for package/board/bring-up, and inference/kernels/compiler teams for hardware-software co-design, so trade-offs land as coordinated decisions rather than late surprises. Own the post-silicon program — bring-up planning, ATE/test handoff, sample distribution, validation, and the path to production readiness. Develop and share AI-assisted approaches to program management — schedule and dependency modeling, spec and milestone consistency checking, partner-deliverable tracking, status synthesis. Minimum qualifications 8+ years in silicon/SoC program management, chip lead, or an equivalent role that owned a chip schedule end to end. Direct ownership of at least one program that taped out and reached production, with milestones you can speak to in detail — including where it slipped and what you did about it. Working technical fluency across the silicon lifecycle — front-end, DV, PD, DFT, foundry, packaging. Experience running external silicon partners — ASIC houses, IP vendors, foundry, or OSAT — including SOW scoping, delivery tracking, and escalation. Track record of building program mechanisms from scratch on an ambiguous, fast-moving effort. Strong written communication — plans, reviews, and exec updates that many teams depend on. Comfort operating with high autonomy and limited process on a highly dynamic program. Preferred qualifications Experience on ML accelerators, high-performance compute, networking, or other large, high-bandwidth SoCs at advanced process nodes. Experience on a first-generation or early silicon program, including standing up flows, methodology, or vendor relationships from nothing. Experience with both partner-executed and fully in-house programs, and a view on the trade-offs between them. Prior hands-on engineering background in one or more silicon domains (design, DV, PD, DFT, or SI/PI). Familiarity with the chip-package-system interface and co-design with a hardware systems team. Experience with hardware-software co-design programs — working directly with compiler, kernel, or runtime teams. Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. BS/MS in EE, CE, CS, or a related field, or equivalent experience. 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: $365,000 — $435,000 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. 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: Remote - US MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. This is a strategic, principal-level technical leadership role responsible for shaping MinIO's Global Systems Integrator (GSI) strategy and expanding MinIO's influence across the AI ecosystem. The role partners directly with the business-facing GSI leader to drive the technical strategy behind MinIO's alliances with Accenture, Capgemini, EY, Deloitte, Kyndryl and other GSIs. The business leader owns commercial strategy while this role owns technical vision, ecosystem influence, and partner technical engagement. The charter is to establish MinIO as the data foundation for Enterprise AI by leveraging strategic ecosystem partners—primarily NVIDIA and Databricks—to create repeatable AI Factory architectures, joint offerings, and technical GTM motions. This is not a customer implementation role; it is a market-facing leadership position responsible for influencing executives, architects, AI practice leaders, engineering organizations, and industry direction. Why This Role Matters Accelerate MinIO's global GSI strategy through technical leadership. Create technical mindshare with GSIs and strategic ecosystem partners. Drive adoption of AI Factory architectures built on MinIO, NVIDIA, Databricks, and complementary technologies. Influence the market through thought leadership, industry speaking, and joint innovation. What You Will Do: Partner with the business-facing GSI leader to define and execute the global GSI strategy. Build trusted relationships with partner CTOs, Chief Architects, Distinguished Engineers, AI Practice Leaders, and executive leadership. Architect and evangelize end-to-end AI Factory reference architectures spanning compute, GPU infrastructure, networking, Kubernetes, storage, data platforms, AI frameworks, and orchestration. Leverage NVIDIA, Databricks, and the broader AI ecosystem to develop joint offerings, solution blueprints, and GTM motions. Lead Level 2–3 architectural discussions and technical workshops while partnering with Field Architects for customer implementation. Represent MinIO at conferences, executive briefings, analyst meetings, webinars, podcasts, and partner events. Provide strategic feedback to Product and Engineering based on ecosystem trends and partner insights. Executive & Industry Leadership Influence C-level executives and senior technical leaders. Serve as a recognized thought leader in Enterprise AI, AI Factories, and modern data platforms. Publish blogs, white papers, reference architectures, and technical content that shape market direction. Your Skills and Experience: 15+ years in enterprise infrastructure, AI, cloud, or distributed systems. Deep understanding of Enterprise AI architectures and AI Factory design. Strong working knowledge of NVIDIA AI Enterprise, DGX/HGX, CUDA ecosystem, AI Factory architectures, networking, and GPU infrastructure. Experience with Databricks, Spark, Delta Lake, Iceberg, RAG, agentic AI, and modern AI platforms. Experience working with or alongside Global Systems Integrators. Exceptional executive presence, storytelling, whiteboarding, and public speaking. Proven ability to influence strategy without direct authority. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote; New York Workplace: Remote Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Data Infrastructure to support our mission. This role is remote, with optional in-person attendance in either the New York or San Francisco office. About the Team The Data Foundations team at Patreon builds the pipelines, models, and infrastructure that power both customer-facing and internal data products. The Data Infrastructure function within the team owns the foundational platform — streaming, batch, and data lake infrastructure — that every data pipeline, analytics workload, and ML system at Patreon runs on. You'll join a small, high-craft team that partners across Product, Data Science, Infrastructure, and the rest of Engineering to make sure the platform underneath all of that work is reliable, scalable, and easy for other engineers to build on. About the Role - Architect, build, and operate large scale batch and streaming platforms that directly power Patreon product features, analytics, and experimentation. - Stand up and scale event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time data ingestion, transformation, aggregation, and delivery to different data storage systems. - Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate pipelines with minimal friction. - Partner with the broader Infrastructure, Platform, and product engineering to drive architectural decisions across storage, compute, deployment, and orchestration to align the data ecosystem with Patreon’s roadmap. - Build the tooling, monitoring, and observability that gives engineers confidence in the data platform's reliability and performance. - Mentor other engineers on infrastructure and streaming best practices, and help shape the long-term data infrastructure roadmap. What you'll need: - 8+ years of software engineering experience, including 4+ years focused on data or platform infrastructure. - Deep, hands-on experience architecting both batch (Airflow, Dagster, or similar) and stream processing systems at scale (Spark, Flink, Kafka Streams, or similar). - Familiarity with data quality, lineage, observability, and governance tooling. - Strong programming skills in Python (Java, Scala, or Go a plus) and SQL. - Familiarity with cloud infrastructure and broad fluency across data stores: Object storage (S3), RDMS (MySQL, or Postgres, etc.), Key value (DynamoDB), OLAP (Clickhouse, Pinot, or Druid, etc.), search/indexing (Elasticsearch) plus data flow patterns for keeping them in sync with source systems. - Excellent collaboration and communication skills; comfortable driving cross-functional infrastructure decisions. - Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent. Bonus if you have: - Experience with Delta Lake/Iceberg, AWS, or Databricks. - Contributed to open-source streaming or infrastructure tooling. - Experience supporting ML/AI workflows, training pipelines, or evaluation systems. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

RELOCATION TO GERMANY adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you’ll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast. Your Mission & Who We Are Looking For: Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second. Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You’ll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed. Pipeline bottlenecks don’t survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference. You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus. The bridge between Data Science and Backend. You’ve worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus. Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn’t optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. Go Big. Own projects with impact on 770M users and push adtech boundaries. Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. Be Direct. Solve problems openly and collaborate across teams. Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.

Location: Espoo Workplace: Hybrid Flight Software Engineer • Location: Espoo, Finland • Department: Engineering / Flight Software • Reports to: Engineering Manager, Flight Software • Employment type: Permanent • Workplace model: Hybrid • Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Flight Software Engineer, you’ll help build the embedded software systems powering ICEYE’s SAR satellites. Your work will directly contribute to the reliability, scalability, and performance of flight computers operating in orbit, enabling mission-critical Earth Observation capabilities for customers around the world. Working close to both hardware and software, you’ll help shape the future of spaceborne SAR systems and support ICEYE’s mission to become the global source of truth in Earth Observation. 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 • Develop and maintain embedded Linux flight software for ICEYE’s SAR spacecraft • Build efficient, reliable, and maintainable user space applications for flight computers • Troubleshoot complex multi-component systems and implement scalable solutions • Manage software packages, hardware devices, init systems, file systems, IPC, networking, and monitoring in Unix-like systems • Configure and maintain build systems, CI/CD pipelines, and software development workflows • Collaborate closely with hardware, software, and spacecraft subsystem teams across the organization • Contribute to system-level architecture discussions and embedded platform improvements • Rotate ownership across components and support continuous improvements to engineering practices   What we’re looking for Must haves: • Strong C++ and Python programming skills • Proven experience delivering commercially successful embedded Linux software • Experience with Buildroot and Yocto • Strong understanding of Unix-like systems, including software package and hardware device management • Experience configuring and managing build systems and CI/CD pipelines • Strong troubleshooting and debugging skills across embedded and distributed systems • Good written and verbal communication skills in English • Ability to balance deep technical problem solving with pragmatic decision making   Nice to haves: • Expertise in Linux kernel space development • Familiarity with Docker or similar containerisation tools • Experience with message-passing frameworks and distributed asynchronous systems • Experience contributing to open-source projects • Ability to read and review electronic schematics • Proficiency in additional programming languages • Interest in and familiarity with LLM-based engineering tools • Systems thinking mindset and strong stakeholder communication skills   Application Process: - TA Screening - Hiring Manager Screening - Task (take home) - Technical Interview - Director Interview 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 Global Employee Benefits Include: - A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach - An independent role with a supportive and diverse work environment - Occupational healthcare, occupational, and accident insurance - A yearly benefit budget to spend as you wish (i.e. on sport, transport, bike benefit, wellness, lunch, etc.) - Phone subscription with iPhone of choice - Relocation support (i.e. flight tickets, accommodation, relocation agency support) - Time for self-development, research, training, conferences, or certification schemes - Inspiring and collaborating offices and silent workspaces enable you to focus 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 and we will 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 http://iceye.com.

Location: Poland Company Background Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia. Project Description The project focuses on developing AI-driven solutions for advertising campaign analytics, insights, and automation. The Lead AI Engineer will provide technical leadership across two GenAI teams working on conversational agents and platform capabilities. Technologies Python, FastAPI, SQLAlchemy, Pydantic TypeScript, NestJS REST APIs, SSE, WebSockets Core LLM concepts, prompt engineering, reasoning strategies, RAG, structured outputs, tool calling Agentic and graph-based workflows, multi-agent orchestration SQL, relational databases, PostgreSQL, data modeling Microservices, API routing, caching pytest, Jest, LLM evaluation tests What You'll Do Lead and mentor two GenAI teams developing conversational agents, manage team roadmaps, foster team collaboration, and oversee project delivery; Develop and implement innovative AI-driven solutions to advance platform capabilities; Collaborate with stakeholders, including developers, product managers, and business operations teams, to align goals and deliverables; Lead the development of conversational agents from concept through production deployment; Research advanced AI technologies and integrate external APIs and services into AI-driven solutions; Job Requirements Bachelor’s degree in Computer Science or a related field; 3+ years of experience leading engineering teams; 6+ years of experience building customer-facing full-stack applications; 2+ years of hands-on experience with Python, including FastAPI, asynchronous programming, SQLAlchemy ORM, and Pydantic; Experience with TypeScript and NestJS; Experience designing and implementing AI agents using LangGraph and/or LangChain, including graph-based workflows, tool calling, structured outputs, and checkpointing; Strong understanding of LLM concepts and AI engineering practices, including RAG, prompt engineering, LLM parameters, guardrails, observability, and tracing; Understanding of machine learning concepts, including models, model validation, and feature engineering; Experience designing REST APIs and implementing streaming responses using SSE and/or WebSockets; Experience working with SQL and NoSQL databases, including relational databases such as PostgreSQL; Experience with automated testing using pytest, Jest, and/or evaluation tests for AI systems; Familiarity with distributed system design, microservices, caching, API routing, and multi-agent orchestration; Proactive and collaborative mindset, with a passion for making an impact on engineering teams, products, and customers; Good written and spoken English at B2 level or higher; Willingness to participate in pager duty rotations as needed; Nice To Have Experience with vector databases; Familiarity with columnar data warehouses such as Vertica or similar platforms; Experience with AWS and boto3; Experience with MCP, A2A, or text-to-SQL solutions; Familiarity with feature-flagging platforms such as Unleash or LaunchDarkly; Experience using AI-assisted development tools such as Claude Code; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Engineer, you'll be the technical anchor for GitLab's Nonlinear Productivity team in the US: the person who decides what "proven" means before something ships, and who helps shape what the team builds next, not just how to build it. It's a from-scratch, generalist team with no dedicated product manager — that ownership starts on day one. Some examples of the problems this team takes on: Cutting the time it takes to complete a good code review — one that still keeps a human in the loop — by half, using agentic solutions. Turning a manual, error-prone release step into an agentic workflow that catches its own mistakes before a human ever has to. What you'll do Set the technical direction for the team's agentic systems, from how agents are orchestrated to where a step should stay human-owned, and defend those calls once they're tested against real code. Discover and prioritize sources of friction across GitLab's SDLC, driving the fix — agentic, process-based, or both — from a rough hypothesis through to a shipped, measured result. Work across any part of GitLab's codebase as the problem requires, since this team operates like a small, generalist group rather than one scoped to a single service. Apply distributed systems judgment to catch cases where generated code looks correct but breaks under concurrency, at scale, or across deployment topologies (including self-managed, dedicated, and multi-tenant environments), and coach others to do the same. Mentor senior and mid-level engineers on agent engineering practices and distributed systems judgment, through design reviews and pairing that raise the team's collective bar rather than just your own output. Collaborate with the India-based group a few times a week to align on the roadmap, and represent the team's technical progress to stakeholders in the Chief Technology Officer's organization. Serve as a bar raiser for the team's hiring, owning the Technical Leadership round for other Staff-level candidates as the team scales. Own a greenfield technical foundation from day one, with your scope and impact free to grow as the team scales. What you'll bring Experience building reliable agentic or large language model (LLM)-based systems, including multi-step orchestration, tool use, guardrails, and recovery. Ability to work autonomously in unfamiliar codebases and drive solutions from discovery through completion. Strong distributed systems and computer science fundamentals, including coordination, consistency, idempotency, rate limiting, failure modes, and degradation under load. Proficiency in Go, Rust, or Python, with the ability to read and modify code in the others. A track record of delivering results from unclear or incomplete requirements — able to take a complex, loosely specified problem and decompose it into a concrete proposal of small, shippable steps. Experience designing evaluation frameworks for systems where "looks plausible" and "is actually correct" are different questions, and a track record of raising the quality bar for a team's output, not just your own. A history of unblocking and enabling teammates — through design reviews, technical writing, or mentoring — and of engaging regularly with other teams to find where collaboration actually pays off. About the team Nonlinear Productivity — shortened internally to "NLP," with no relation to natural language processing — is one of GitLab's newest teams: a strategic incubation group that reports into AI Platform leadership under the direct sponsorship of the CTO. It's split into a US group (this role) and an India-based group working the same charter; the two sync on roadmap and tooling a few times a week but otherwise run day to day on their own. Solutions that prove out internally are the team's path to a monetized, customer-facing GitLab offering. It's a good fit for engineers who want technical ownership of something with no existing playbook, and a hand in defining a brand-new part of GitLab from its first commit. Remote-Global The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Riyadh, Saudi Arabia Muller's Solutions is seeking an experienced Service Delivery Manager to lead and oversee managed IT services across Service Desk, Field Support, and Inventory Management functions. The ideal candidate will ensure high-quality service delivery, drive operational excellence, manage distributed teams, and maintain strong stakeholder relationships while meeting agreed SLAs and KPIs. Key Responsibilities Drive SLA and KPI achievement and provide regular service performance reports to senior stakeholders. Lead and govern Service Desk, Field Support, and Inventory Management teams. Coordinate managed service delivery across multi-vendor and cross-functional teams. Manage team scheduling and workforce planning for shift-based operations. Develop and execute individual development plans for team members. Ensure effective incident, problem, and escalation management through structured governance. Identify opportunities to improve service delivery processes and operational efficiency. Build and maintain strong relationships with internal and external stakeholders. Communicate effectively with technical teams, business users, and senior management. Lead operational problem-solving initiatives and drive continuous service improvement. Requirements Bachelor's degree in Engineering, Information Technology, Computer Science, or a related field. ITIL V4 Foundation Certification (Mandatory). Proven experience managing 30+ member managed service teams across multiple locations. Experience managing shift-based IT support operations . Strong knowledge of IT Service Management (ITSM) processes and best practices. Hands-on experience with ServiceNow or similar ITSM platforms. Expertise supporting endpoint technologies, including: Laptops and desktops Mobile devices Meeting room and collaboration systems Experience coordinating services across multi-vendor environments. Strong leadership, people management, and coaching skills. Excellent stakeholder management and communication skills. Strong analytical, problem-solving, and decision-making abilities. Ability to drive operational excellence and continuous improvement initiatives.

Location: Dubai, United Arab Emirates We are seeking a detail-oriented Quality Assurance (QA) Engineer to ensure the quality, reliability, and performance of enterprise applications and AI-powered solutions. The ideal candidate will be responsible for planning and executing comprehensive testing activities, validating AI outputs, identifying defects, and ensuring all deliverables meet quality standards before production release. Key Responsibilities Develop test strategies, test plans, and comprehensive test cases. Perform functional, integration, regression, system, and user acceptance testing (UAT). Validate AI and Agentic AI outputs against business requirements and quality standards. Identify, document, track, and verify defects through resolution. Execute both manual and automated testing where applicable. Verify application performance, usability, reliability, and security. Ensure all deliverables meet quality standards before production deployment. Prepare test reports, defect reports, and QA documentation. Collaborate closely with developers, AI engineers, business analysts, and stakeholders to improve product quality continuously. Requirements Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. 4+ years of Quality Assurance experience. Experience in manual and automated testing. Strong knowledge of functional, integration, regression, system, and UAT testing. Experience with defect tracking and test management tools (e.g., Jira, Azure DevOps, TestRail). Experience testing REST APIs using tools such as Postman. Experience validating AI or Generative AI applications is a plus. Understanding of software development lifecycle (SDLC) and Agile methodologies. Strong analytical, problem-solving, and documentation skills. Excellent communication and teamwork skills.

Location: Dubai, United Arab Emirates Job Description We are looking for experienced Full Stack Developers to design, develop, and maintain modern enterprise web applications. The ideal candidate will have strong experience with React.js , Next.js , and Nest.js , building secure, scalable, and high-performance applications while collaborating closely with AI, DevOps, and QA teams. Key Responsibilities Design, develop, and maintain front-end and back-end components of enterprise applications. Build responsive, user-friendly web applications and dashboards using React.js and Next.js . Develop secure, scalable backend services and RESTful APIs using Nest.js . Integrate applications with AI services, enterprise systems, databases, and third-party APIs. Implement authentication, authorization, and role-based access control (RBAC). Optimize application performance, scalability, security, and maintainability. Participate in code reviews, testing, debugging, and technical documentation. Collaborate with AI Engineers, DevOps Engineers, QA Engineers, and business stakeholders throughout the development lifecycle. Follow secure coding standards and software development best practices. Requirements Bachelor's degree in Computer Science, Software Engineering, or a related field. 5+ years of Full Stack development experience. Strong hands-on experience with React.js . Strong experience with Next.js . Strong experience with Nest.js . Experience developing RESTful APIs . Experience integrating applications with databases and third-party APIs. Experience with authentication and Role-Based Access Control (RBAC) . Good knowledge of SQL and/or NoSQL databases. Experience with Git and version control. Experience with Docker and CI/CD pipelines is preferred. Strong debugging, problem-solving, and communication skills. Experience working in Agile development environments is preferred.

Location: Dubai, United Arab Emirates Job Description We are looking for an experienced DevOps Engineer to build, automate, and manage enterprise deployment environments with a strong focus on air-gapped infrastructure and OpenShift clusters . The ideal candidate will design and maintain CI/CD pipelines, automate infrastructure, manage containerized applications, and ensure secure, reliable, and scalable deployments. Key Responsibilities Design, implement, and maintain CI/CD pipelines for application and AI solution deployments. Work in air-gapped environments and manage OpenShift clusters . Automate infrastructure provisioning, configuration, and deployment processes. Manage containers, orchestration platforms, and deployment environments. Monitor application performance, availability, and operational health. Implement logging, monitoring, alerting, backup, and disaster recovery solutions. Apply infrastructure security best practices, secrets management, and system hardening. Optimize deployment efficiency, scalability, reliability, and operational costs. Support release management, production deployments, and incident resolution. Collaborate with development, AI, QA, and infrastructure teams. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of DevOps experience. Hands-on experience working in air-gapped environments . Strong experience managing Red Hat OpenShift clusters. Experience designing and maintaining CI/CD pipelines . Experience with Docker and Kubernetes/OpenShift . Experience automating infrastructure using Ansible , Terraform , or similar tools. Experience with Linux administration and shell scripting. Experience implementing monitoring and logging solutions (e.g., Prometheus, Grafana, ELK, Splunk). Experience with backup, disaster recovery, and infrastructure security. Knowledge of secrets management and infrastructure hardening. Strong troubleshooting and problem-solving skills.

Location: Dubai, United Arab Emirates Job Description We are seeking experienced AI Engineers / Agentic AI Developers to design, develop, and deploy enterprise-grade AI solutions with a focus on Agentic AI , Large Language Models (LLMs) , and Retrieval-Augmented Generation (RAG) . The successful candidate will be responsible for building intelligent AI agents and workflows capable of reasoning, planning, task execution, and orchestration while ensuring all solutions are deployed in an on-premises environment using local AI models and tools. Key Responsibilities Gather, analyze, and translate business requirements into scalable AI and Agentic AI solutions. Design, develop, test, deploy, and maintain AI-powered applications and autonomous AI agents. Build Agentic AI workflows capable of reasoning, planning, task execution, and orchestration. Develop and integrate Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent architectures. Integrate AI solutions with enterprise applications, APIs, databases, cloud services, and on-premises systems. Optimize AI models, prompts, workflows, and application performance. Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards. Prepare technical documentation, deployment guides, operational manuals, and knowledge transfer materials. Provide technical support, troubleshooting, performance tuning, and continuous improvements. Design and implement AI solutions using on-premises infrastructure, local models, and enterprise-approved AI tools . Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. 5+ years of software development experience, including 2+ years working with AI/Generative AI technologies. Strong experience with Python and AI application development. Hands-on experience with Large Language Models (LLMs) and prompt engineering. Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions. Experience building Agentic AI or multi-agent systems. Experience integrating AI applications with REST APIs , databases, and enterprise applications. Familiarity with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen , or similar. Experience working with vector databases such as Milvus, ChromaDB, FAISS, Pinecone , or equivalent. Knowledge of model deployment using Ollama, vLLM, Hugging Face Transformers, NVIDIA NIM , or similar on-premises inference platforms. Experience deploying and managing AI solutions in on-premises environments . Understanding of AI security, governance, privacy, and Responsible AI principles. Experience with Docker, Kubernetes, Git, and CI/CD pipelines is preferred. Strong analytical, problem-solving, communication, and documentation skills. Preferred Skills Experience with open-source LLMs such as Llama, Mistral, Qwen, Gemma, or DeepSeek . Experience with GPU infrastructure and AI model optimization. Knowledge of MLOps practices and AI monitoring. Experience integrating AI solutions with enterprise platforms such as SAP, ServiceNow, Microsoft 365, or other enterprise systems. Experience working in highly secure or regulated enterprise environments. This JD is aligned with your requirement that all AI use cases must run on-premises using local models and on-premises tools , making it suitable for enterprise or government projects.

Location: Colombia; South Africa; Brazil; Argentina; Honduras; Costa Rica About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a dynamic technology firm specializing in the development of sophisticated data management systems and integrated IT solutions. Focused on bridging the gap between complex data architectures and actionable business insights, the team provides scalable infrastructure and analytics tools to enterprises across multiple sectors. By prioritizing innovation in data processing and system reliability, they help organizations modernize their technical stacks and improve operational efficiency through secure, high-performance computing environments. As a fast-growing scale-up, the company fosters a collaborative and forward-thinking environment where engineers and data specialists tackle high-impact technical challenges. They maintain a global market focus, empowering businesses to leverage their information assets more effectively in an increasingly digital economy. The culture is built on continuous improvement and technical excellence, offering candidates the opportunity to work on cutting-edge systems while contributing to a mission of making complex data more accessible and functional for modern industry leaders. Job Summary We are seeking a high-energy, empathetic, and technically-minded Customer Support Specialist to serve as the primary point of contact for a growing B2B SaaS platform. In this role, you will do much more than answer tickets; you will be the voice of the brand, helping US-based clients navigate complex data systems and ensuring they achieve maximum value from the software. If you pride yourself on your ability to de-escalate challenging situations with grace and have a natural instinct for troubleshooting, this is the perfect opportunity to grow with a global team. Key Responsibilities Manage and resolve high-volume support requests via both phone and email. Lead live support calls with US-based clients to troubleshoot technical issues in real-time. Guide less-technical users through complex workflows with patience and clarity. Maintain accurate records of all customer interactions within the CRM. Identify recurring software issues and collaborate with the product team to drive long-term solutions. Draft clear, concise internal documentation and external-facing help guides. Requirements 3+ years of dedicated experience in B2B SaaS customer support (must include phone support experience; chat-only experience will not be considered). Fluency in English with exceptional written and verbal communication skills. Proven track record of supporting US-based clients and working US Central Time (CST) hours. Proficiency with modern CRM and support tools (e.g., HubSpot, Zoho, or similar platforms). Strong technical troubleshooting instincts and the ability to explain complex concepts simply. High emotional intelligence and the ability to de-escalate difficult customer interactions. A reliable, high-speed home internet connection and a dedicated, quiet remote workspace Benefits 💰 Competitive salary based on experience 🌎 Fully remote role with a flexible work environment 🚀 Work with a growing logistics company in a high-demand industry 📈 Long-term career growth with operational and customer success exposure 🎯 Hands-on role with real impact on day-to-day business operations

Location: Amman, Jordan We are looking to hire a skilled GRC officer who will be responsible for assessing the effectiveness, efficiency, and security of our IT systems, while ensuring compliance against industry standards, best practices, and internal processes and procedures. As part of his duties, he will be responsible for overseeing compliance with and reporting to Management on how to mitigate possible risk. Responsibilities Develop, review, monitor, and implement the company's information security management system, including processes, policies, systems, and procedures, and continuously improve the ISMS to keep up with changing regulatory requirements and industry best practices. Develop, review, and monitor the Firm’s business continuity & disaster recovery plan and identify potential risks areas and ensure steps are taken to mitigate same. Investigate and report violations of processes, procedures and regulatory standards across the operations of the Firm including but not limited to engineering and operations departments with effective action plans in response to discoveries and compliance violations. Build an internal audit plan and schedule to cover all aspects as per the management needs. Prepare internal audit reports detailing findings, recommendations, and corrective actions. Plan and conduct regular audits and assessments to identify areas of non-compliance and develop corrective action plans. Monitor and report on compliance issues, including data breaches, security incidents, and regulatory changes, and take appropriate actions to address them. Ensure that compliance-related issues are communicated effectively to the leadership team and the board of directors. Provide guidance and training employees on security & compliance-related topics, based on the best practices and industry standards. Foster a culture of compliance within the organization, where all employees understand the importance of compliance and their role in maintaining it. Liaise with external auditors and regulators as necessary to demonstrate compliance with relevant laws and regulations. Collaborate with cross-functional teams to ensure that compliance & ISMS requirements are integrated into all aspects of software development, project management and operations, etc. Migrate, manage, and excel the GRC tasks to a well-known GRC tool. Perform and manage an enterprise risk assessment across the organization, based on a defined risk management policy, and procedure. Work closely with all departments on risk management tasks, including identification & mitigation of risks. Work closely with all departments on their new tools and software’s to make sure it follows ProgressSoft vision, policies, and to reflect on any required changes to the current processes and internal controls. Ability to read and understand third party agreements from Clients & assess the level of risk acceptance towards security terms and conditions. Ability to perform third party risk assessments (Vendor & Client). Understand the internal workflows and procedures, assess any areas for improvement. Requirements : Bachelor’s degree in computer science or any related field. Minimum of 1-2 years’ experience in areas related to Governance, Compliance Officer, IT Auditor or Information Technology Risk Management. Strong knowledge of IT auditing principles, practices, and frameworks (e.g., GRCP, COBIT, ISO 27001, or related discipline). Familiarity with security frameworks and compliance requirements (e.g., ISO27001, GDPR, PADSS). Familiarity of cybersecurity & compliance regulations across Middle East countries (e.g. Jordan/ UAE/ Oman/ Kuwait/ Qatar etc.). Proficiency in risk and audit tools and methodologies. Provide insights for informed decision-making. Excellent analytical, critical thinking and problem-solving skills. Excellent reporting and presentation skills. Exposure to IT Governance and its activities. Ability to work independently and as part of a team. Ability to multi-task, pay attention to details and meet deadlines. Performance goal/KPI Ensure staff members comply with all laid down processes and procedures. Presentation to the top management and as may be required. Ensure Staff members comply with the of technology at all levels. Submission of timely and regular reporting to Management on the status of progress and achievements.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic trains and serves frontier AI models on some of the largest accelerator fleets in the world, and we're now building the custom hardware systems that fleet will run on — from the package boundary out through boards, racks, interconnect, power, cooling, and the datacenter interface. We're looking for a Technical Program Manager to own execution of these hardware systems from concept through production deployment. You'll drive the program that turns architecture and specs into boards and racks that ship — managing ODMs, CMs, and component vendors on one side, and coordinating silicon, firmware, infrastructure software, supply chain, and datacenter teams on the other. This is a role on a new hardware team. You'll build the program cadence, review structure, and NPI process this team runs on. We need someone who has shipped hardware at scale, has a realistic view of ODM/CM schedules and where they break, and is comfortable owning consequential program calls without a large organization behind them. Key responsibilities Own the integrated hardware systems program plan across board, chassis, rack, and interconnect — from requirements through EVT/DVT/PVT, qualification, and production ramp — and be the source of truth on schedule, risk, and readiness. Drive execution with ODMs, contract manufacturers, and component/optics vendors: SOWs, build schedules, deliverable tracking, factory readiness, and escalation when they slip. Stand up and run the NPI cadence — build matrix, engineering reviews, DFx, issue triage, exit criteria — and keep it lightweight enough that a small, senior team actually uses it. Drive the bring-up and validation program for new platforms: lab and pilot-rack logistics, firmware/BMC/diagnostics coordination, test coverage, and the reliability and telemetry targets a platform has to hit before it enters the fleet. Own the interfaces that make or break a hardware program: silicon (samples, package, power/thermal envelopes), datacenter (power, cooling, rack integration, deployment windows), infrastructure software (management plane, provisioning, telemetry), and supply chain (long-lead components, second-sourcing, allocation). Run partner and technology evaluations as a program — candidate ODMs, reference platforms, connector/optics/memory options — and land build / buy / co-design recommendations with the architecture team. Own program communication upward and outward — for an audience that ranges from architects to executives. Develop and share AI-assisted approaches to hardware program management — issue-tracker synthesis, build-readiness checking, spec/BOM consistency, ODM-report digestion. Minimum qualifications 8+ years in hardware systems / NPI program management for compute, networking, storage, or accelerator platforms. Direct ownership of at least one platform from concept through volume production — you can walk through its EVT/DVT/PVT arc, what broke, and how you recovered. Working technical fluency across the hardware stack — power delivery, thermal, mechanical, high-speed interconnect, board design, system management — sufficient to interrogate status and push back credibly on architects and vendors. Experience managing ODMs/CMs and component vendors, including SOW negotiation, build tracking, quality escapes, and escalation. Track record of standing up program mechanisms on a new or early-stage hardware effort, not just operating inside a mature PLC. Strong written communication — plans, reviews, and exec updates that many teams depend on. Comfort operating with high autonomy and limited process in a fast-moving, ambiguous environment. Preferred qualifications Experience with AI/ML accelerator systems (GPU, TPU, custom ASIC), HPC, or hyperscale datacenter platforms and their scale-up / scale-out fabrics. Experience taking a first-generation, custom-silicon-based system from bring-up through fleet deployment. Experience with liquid-cooled and/or high-density rack architectures, rack level high power distribution, or optical interconnect programs. Familiarity with the chip-package-system interface and coordinating tightly with a silicon team. Experience with datacenter integration, deployment, and fleet-scale reliability/RAS programs. Practical experience using AI tools in your own workflow, and clear ideas about where they help and where they don't. BS/MS in EE, CE, ME, or a related field, or equivalent experience. 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: $365,000 — $435,000 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 Team Our Reinforcement Learning teams are central to advancing our AI systems, contributing to every Claude model and driving the autonomy and coding gains in our latest releases. The work spans computer use, code generation through RL, fundamental RL research for large language models, scalable infrastructure and training methodologies, and model reasoning. Research TPM team supports the full model development lifecycle, from pre-training through post-training, operating at the frontier of AI development. About the Role As a Technical Program Manager on the reinforcement learning team, you will own the systems and programs that determine how fast our research moves: a trustworthy read on the state of RL research, the review and prioritization processes that turn that read into critical decision for production RL runs. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when research or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity. Join us in our mission to build AI systems that are safe, reliable, and beneficial to humanity. Responsibilities Deliver a regular read on the ground truth in RL research, covering performance against baselines, experiment results, day-to-day health, and incidents Work with RL org leads on prioritizing, ranking, and tracking the state of experiments Drive research reviews end to end in partnership with set the agenda, make sure the right context is in the room ahead of time, and close the loop on what gets decided Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions You May Be a Good Fit If You Have a background in ML engineering or ML research before transitioning to technical program management Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery Are excited about pushing the frontier of what RL can do at 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: $365,000 — $435,000 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. 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.