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About Nebius : Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system. In this position, you will be responsible for: • Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. • Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. • Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. • Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. • Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation. We expect you to have: • 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). • 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). • In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. • Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). It would be a plus if you have: • Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking. • Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads). • Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication. • Background in Software-Defined Networking (SDN) and experience with HPC cluster networking . • Understanding of QEMU/KVM virtualization and managing virtualized environments. • Experience with deep learning frameworks such as PyTorch and TensorFlow , and their integration with HPC systems. • Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part of the process. LI-LH2 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius : Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role The Data Engineering team builds and operates the data platform that powers analytics, business intelligence, operational reporting, and data-driven products across Nebius. We ingest data from internal and external systems, develop reliable transformation pipelines and data models, and make trusted datasets available to business and product teams. We are looking for a Senior Data Engineer to own substantial parts of our data platform and deliver complex data products end to end. You will turn ambiguous business needs into pragmatic technical solutions, make architecture and implementation trade-offs, and improve the reliability, scalability, and usability of our data ecosystem. You will work closely with product, platform, and business teams, helping them use data effectively while ensuring that our systems remain maintainable and trustworthy as Nebius grows. Your responsibilities: • Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. • Translate business and analytical requirements into scalable data models, reliable data products, and clear technical plans. • Design and evolve data architecture, storage, processing, and orchestration patterns for large-scale workloads. • Improve data quality, observability, lineage, and incident response for critical datasets and pipelines. • Investigate and resolve challenging performance, reliability, and data-correctness issues in production. • Establish reusable tools, conventions, and automation that improve engineering productivity and reduce operational risk. • Work with product teams and business stakeholders to define data contracts, priorities, and success criteria. • Contribute to technical direction through design reviews, thoughtful trade-offs, and documentation. • Support and mentor other engineers through reviews, pairing, and knowledge sharing. • Participate in the on-call rotation and take ownership of improving the operational health of the systems you support. Must-haves: • 5+ years of experience in data engineering, backend engineering, or a related role; or equivalent experience delivering and operating production data systems. • Proven experience independently delivering complex data pipelines or data-platform capabilities from problem definition through production operation. • Strong Python and SQL skills, including writing maintainable production code and optimizing non-trivial queries. • Hands-on experience with workflow orchestration tools such as Airflow, Prefect, or Dagster. • Strong understanding of data modeling, including designing maintainable analytical models and data contracts for multiple consumers. • Solid knowledge of data architectures and storage systems, including the trade-offs between different processing and storage approaches. • Experience designing for reliability: testing, monitoring, data-quality validation, alerting, debugging, and incident resolution. • Ability to make technical decisions under ambiguity, explain trade-offs clearly, and collaborate effectively with engineers and non-technical stakeholder Nice-to-haves: • Experience with real-time or event-driven data platforms and streaming technologies. • Experience building or operating cloud-native services with Docker and Kubernetes. • Familiarity with Infrastructure as Code, particularly Terraform. • Experience with data governance, access control, privacy, and compliance requirements such as GDPR or SOC 2. • Experience with data observability and quality tools or frameworks, such as Great Expectations. • Experience improving engineering standards through shared libraries, platform tooling, technical documentation, or mentoring. We conduct coding interviews as part of the process. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius …

About Nebius : Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Customer AI Engineer who will join our Token Factory team to help our customers successfully transition from proof-of-concept to production and scale their AI workloads on Nebius infrastructure. This role sits at the intersection of engineering, delivery, and customer success – ensuring that what was promised during pre-sales actually works reliably in production. You will work closely with customer engineering teams, Solution Architects, and Product/Infrastructure teams to drive stable, performant, and cost-efficient deployments . This role is NOT: • A sales role (though you will support expansion through value) • A pure support role (you won’t just react to tickets) • A solution architect role (you won’t design systems from scratch) You’re welcome to work remotely from Europe . Your responsibilities will include: Own the production journey • Lead the transition from PoC to production • Ensure customer workloads are deployed, stable, and scalable • Drive time-to-production and time-to-value Ensure technical success in production • Understand customer architectures and use cases • Monitor and improve: • performance (latency, throughput) • cost efficiency • reliability • Identify and resolve bottlenecks proactively Act as a trusted technical partner • Work directly with customer engineering teams • Provide guidance on best practices and optimisation • Translate technical challenges into actionable solutions Manage risks and incidents • Act as a primary technical contact for production issues • Coordinate with internal teams to resolve incidents • Communicate clearly during high-pressure situations Drive continuous improvement • Identify opportunities to optimise and expand usage • Provide structured feedback to Product and Infrastructure teams • Help shape better solutions based on real customer needs We expect you to have: Technical background • Practical knowledge of inference frameworks (e.g. vLLM, TensorRT, or similar) • Solid understanding of: • cloud or infrastructure systems • distributed systems or high-load applications • AI/ML workloads (LLMs, inference, etc.) is a strong plus • Ability to troubleshoot and reason about system performance Customer-facing experience • Experience working directly with technical customers (e.g. engineers, ML teams) • Ability to communicate complex topics clearly and effectively Ownership & execution • Strong sense of ownership – you drive outcomes, not just tasks • Ability to manage multiple customers and priorities • Structured, proactive, and solution-oriented mindset It will be an added bonus if you have: • Experience with GPU workloads or AI infrastructure • Background in solutions engineering, SRE, or technical support in B2B environments Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius : Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role AI is moving faster than any single product team can track. Nebius is expanding across serverless, databases, MLflow, MLOps, Physical AI, and HCLS — and customers arriving with complex, real-world ML workloads need more than documentation. This role exists to close that gap: someone who can prototype what's possible, accelerate customers through their first 90 days, and feed hard-won field insight back into the product roadmap. This role sits at the intersection of deep ML engineering and product impact. You'll spend roughly half your time in the field — helping new customers move from POC to production, running technical onboarding, and working hands-on through their ML stack. The other half you'll spend building — prototyping applied AI use cases that show what's possible on the platform, going deep on emerging techniques before they're mainstream, and turning that expertise into concrete product direction. This is not a presales role. You get your hands dirty every day. What success looks like in 12 months • The product and sales teams have a library of working, polished demos they reach for on calls • Enterprise customers you've touched have meaningfully faster time-to-value than those you haven't • At least 2–3 product changes were shipped because of feedback you originated • The team understands where applied AI is heading 6–12 months from now, partly because you told them Your responsibilities will include: • Build prototypes and demos across the product portfolio — serverless inference, databases, MLflow, MLOps, and vertical use cases in Physical AI and HCLS — that become assets for sales, product, and engineering teams • Support new customers hands-on through POC design, technical onboarding, and validation; act as the bridge between their ML team and the platform during the critical first months • Go deep on emerging applied AI — new training techniques, inference optimizations, agentic architectures, new frameworks — and turn findings into working prototypes, writeups, and product recommendations • Feed the product roadmap with specific, grounded feedback; be the voice of "here's what broke in three customer POCs last month and here's what needs to change" • Develop reusable technical assets — notebooks, reference architectures, benchmark results — that reduce onboarding friction at scale We expect you to have: • You've fine-tuned large models, debugged distributed training jobs, built production RAG or agentic pipelines, and optimized inference on GPU infrastructure — not just read about it • You're fluent in the modern ML stack: PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, vector databases • You've worked with enterprise ML teams — whether as a solutions engineer, customer engineer, or an ML engineer who collaborated closely with customers • You read papers and implement them — not for credit, but because it's how you stay sharp • You communicate with calibration: you can explain activation checkpointing tradeoffs to an ML engineer in the morning and the cost implication to a CTO in the afternoon It will be an added bonus if you have: • Experience in any of our vertical domains: Physical AI / robotics / simulation, HCLS (drug discovery, medical imaging, clinical NLP), or enterprise AI application development • Familiarity with MLOps at scale (Kubeflow, Metaflow, Argo, Ray) • Prior work at a cloud provider or AI infrastructure company • You've shared technical work publicly — notebooks, talks, blog posts that people actually use Who thrives here You'll thrive here if you're energized by variety — one day deep in a customer's MLOps stack, the next building a demo from scratch. You want your technical depth to influence product decisions, not just close deals. What we offer • Competitive salary and comprehensive benefits package. • Opportunities for professional growth within Nebius. • Flexible working arrangements. • A dynamic and collaborative work environment that values initiative and innovation. We're growing and expanding our products every day. If you're up to the challenge and are excited about AI and ML as much as we are, join us! Pay Transparency We offer …

About Nebius : Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are seeking a Security Solutions Engineer with a strong background in strategic solution evaluation, vendor assessment, and hands-on Proof-of-Concept (PoC) validation. This role is a crucial bridge between identifying customer security requirements and implementing best-in-class, enterprise-grade solutions. You will be responsible for defining the criteria, researching the market, and executing technical validation for all major security tooling and services adopted by the company. Key responsibilities: 1. Strategic Research & Requirement Definition • Threat-to-Solution Mapping: Proactively analyze customer expectations, regulatory/compliance drivers, and threat models to define precise functional and non-functional requirements for new security solutions. • Market Analysis & Scouting: Conduct thorough market scans to identify cutting-edge security products, platforms, and vendors across key domains (e.g., CSPM/CNAPP, DLP, IAM/IGA, EDR/XDR, data security, Kubernetes security, and AI/ML security). • Vendor Due Diligence: Evaluate potential vendors based on technical capability, security posture, integration requirements, roadmap, data residency/compliance, and support quality, and shortlist candidates for the PoC phase. 2. Technical Validation & Proof-of-Concept (PoC) Leadership • PoC Planning & Design: Develop detailed, objective, and threat-aligned test plans and success criteria for all security solution Proof-of-Concepts (PoCs), including quantitative success metrics, coverage of key attack scenarios, and opportunities for automation. • Hands-on Environment Setup: Independently architect and deploy isolated PoC environments that accurately simulate our production infrastructure (e.g., setting up cloud VPCs, Kubernetes clusters, integrating with test data via IaC, and mimicking typical workloads). • Testing & Analysis: Execute security research methodologies within the PoC (e.g., simulating attack scenarios, conducting deep feature validation, assessing false positive/negative rates) to rigorously test the vendor solution's effectiveness. • Artifact Generation: Document all findings, including technical performance data, integration challenges, security gaps discovered, and clear comparative analysis metrics. 3. Decision Support & Communication • Recommendation & Insight: Deliver comprehensive, data-driven reports and compelling presentations to security and product leadership and engineering stakeholders, providing a clear recommendation for the optimal solution and vendor selection. • Integration Planning: Work closely with Security Engineering, Platform/Infra, and DevOps teams to ensure selected solutions are feasible to integrate, operate, and scale, and to hand off PoC learnings into implementation plans. Must-haves: • Experience: Minimum 6+ years in Security Engineering, Security Architecture, or a dedicated Security Research role focused on solution validation and vendor management. • Technical Depth: Deep understanding of modern cloud security principles (e.g., AWS/Azure/GCP security models, Kubernetes/containers, network segmentation, IaC scanning, least privilege, identity-centric security, confidential computing). • Programming and Automation - Strong scripting / programming skills (e.g., Python, Go, or similar) for automating PoCs, building test harnesses, and integrating tools via APIs and CI/CD pipelines. • Solutions Expertise: Proven, hands-on experience with the architecture, deployment, and testing of two or more enterprise-grade security tools (e.g., SIEM/SOAR platforms, Endpoint Detection and Response (EDR), Vulnerability Management, Secrets Management). • PoC Proficiency: Demonstrated ability to plan and execute complex technical Proof-of-Concepts, including setting up test environments and defining quantitative success metrics. • Soft Skills: Exceptional analytical skills with the ability to translate complex technical findings into clear business risk and strategic recommendations. Strong written and verbal communication. Nice-to-haves: • Experience in Cloud or Cloud-Heavy companies. • Experience in a compliance-focused industry (e.g., finance, healthcare, or cloud infrastructure) and familiarity with …

About Nebius : Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We run a large-scale GPU cloud and AI infrastructure platform. Fraud and abuse — stolen payment cards, fake sign-ups, compute mining, credential abuse, and coordinated free-tier exploitation — directly threaten platform economics, capacity availability for legitimate customers, and our standing with payment providers and cloud partners. As Product Manager, Anti-Fraud, you own the product roadmap for the systems that detect, prevent, and respond to fraud and abuse across the customer lifecycle — from onboarding and payment through to ongoing consumption. You sit at the intersection of Trust & Safety, Payments/Billing, Risk, Data Science, and Product Engineering, and you balance two goals in constant tension: stop bad actors and keep friction near zero for real customers. Your responsibilities will include: • Own the end-to-end anti-fraud product roadmap: signup/KYC checks, payment fraud detection, account takeover protection, and compute-abuse (e.g., crypto mining, resource reselling) prevention. • Own the rules and risk-scoring surfaces — the tooling that lets analysts and data scientists define, test, and deploy detection rules and ML models with clear guardrails and audit trails. • Own the manual review and case-management experience for the Trust & Safety operations team, including queues, evidence views, and action workflows (block, limit, step-up verification, release). • Own customer-facing friction points — verification flows, step-up challenges, and appeals — designed to minimize false positives and protect the legitimate user experience. • Identify fraud and abuse incidents early — define the signals, alerts, and thresholds that surface incidents before they scale, and own the detection surface that flags them. • Participate in incident reviews and post-mortems, capturing root causes and turning each finding into concrete improvements to detection rules, models, and the roadmap. • Ensure timely response to active incidents — drive fast triage, clear ownership, and mitigation, working alongside Trust & Safety, Engineering, and Data Science to contain impact. • Write clear PRDs and specs that translate fuzzy risk problems into shippable engineering and data-science work. • Partner with Analytics team on detection models — defining the problem, labels, and success criteria, and deciding where rules vs. ML are the right tool. • Run experiments and monitor rollouts, watching both fraud-catch metrics and false-positive / customer-friction impact. • Work with Legal/Compliance to keep detection and enforcement aligned with payment-network rules, KYC/AML expectations, and data-privacy requirements. • Track and report on fraud loss, chargeback rate, false-positive rate, review throughput, and time-to-detection. We expect you to have: • Proven product management experience in fraud, risk, trust & safety, or payments. • Strong analytical skills — comfortable with data, SQL or equivalent, and reasoning about precision/recall trade-offs and metrics. • Ability to make decisions under ambiguity and to balance security, business, and customer-experience priorities. • Solid collaboration with engineering and data science; you can hold a technical conversation about signals, features, and model behavior. • Exposure to cloud, SaaS, marketplace, fintech, or infrastructure products. • Understanding payment fraud, chargebacks, KYC/AML, or device/network signals (fingerprinting, velocity, IP reputation). It would be an added bonus if you have: • Familiarity with ML-based detection systems and their operational lifecycle (drift, retraining, monitoring). • Experience with abuse patterns specific to compute or GPU platforms (mining, credential stuffing, free-tier farming). Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal …

Hello! I'm Allie, Head of Support at Ashby . As our team has grown, one of the keys to providing exceptional Support is ensuring every new hire can hit the ground running on a product with a lot of depth and nuance. Helping someone move from “just joined” to confidently helping customers takes exceptional care. We pride ourselves on delivering an onboarding experience that helps each person who joins our team be successful and, in turn, help our customers be successful. Our onboarding program has given new hires a strong foundation. As the team continues to scale and the product keeps evolving, we know there's more to build. That's why we're looking for one Support Trainer in AMER and one in EMEA to partner with our Training Lead and help take onboarding and ongoing training to the next level. This role goes beyond running sessions off an existing curriculum. We're looking for someone who can dig into what's working, spot where new hires are still struggling to get up to speed, and turn that insight into better materials and better training. You'll partner closely with our Training Lead to deliver onboarding day to day, while also helping evolve the program as our product and team continue to grow. If you're energized by joining a strong program and pushing it further, love making complex product knowledge click for new learners, and want to stay close to frontline Support work, this might be the role for you. About This Role As the Support Trainer, you'll design, develop, and deliver the training programs that enable the Support team to provide exceptional service. You'll work closely with Support team members and cross-functional partners to build training materials, assess where the team needs support, and ensure everyone stays current on product knowledge and best practices as we grow. Since this function is central to how our team scales, you'll have the opportunity to build on a strong foundation, strengthen how we onboard and continuously develop our team, and create a culture where growth and knowledge-sharing are part of everyday work. What You'll Own Training Program Design and Delivery • Deliver and further develop training programs for new Support hires and ongoing team development, covering product knowledge, Support processes, internal tools, and talent acquisition-related processes. • Facilitate workshops, one-on-one coaching, and asynchronous learning sessions to help new team members provide a high-quality customer experience. • Create clear, engaging, and comprehensive training materials, including guides, videos, and tutorials. Measuring and Improving Training • Collaborate with Support Leadership to assess training needs and create customized learning experiences. • Continuously update training materials based on product updates, new features, and feedback from the team. • Track the progress of trainees and provide feedback to support continuous improvement. • Use trainee-progress and performance data to measure the effectiveness of training initiatives, connect changes to outcomes such as ramp speed, CSAT, and QA scores, and refine the program as needed. Staying Close to Support • Regularly spend time handling Support tickets to maintain continued familiarity with processes and workflows. • Use firsthand experience with the work to keep training grounded in what the job actually requires. Role Requirements • Proven experience designing or delivering training programs within a Support or Customer Success organization, ideally in a B2B SaaS environment. • Meaningful experience working in Support or another customer-facing technical function. • Experience building onboarding programs, facilitating workshops, and coaching individuals through skill development. • Ability to connect training outcomes to real performance and customer experience improvements, not just completion rates. • Strong ability to translate complex or technical information into clear, engaging, and digestible learning materials. • Analytical mindset for identifying skill gaps, spotting trends in performance, and iterating on programs over time. • Comfort working in ambiguity and building structure and process where none exists. • Passionate about customer experience and the role well-trained Support teams play in creating trust and loyalty. • Skilled at delivering constructive, actionable feedback and coaching people toward growth. • Strong communication and facilitation skills, with the ability to engage learners across different styles and experience levels. You Should Apply If: • You're excited about iterating on a strong program foundation and thinking creatively about enabling Support on highly technical topics. • You thrive on turning complex product and process knowledge into training that's clear, practical, and engaging. • You want to stay close to the frontline work you're training people to do, not just design programs from a distance. • You're …

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify 's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify 's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking for a Software Engineer - AI Data to join Speechify 's AI team and build the data pipelines that power our model training and next-generation AI products. We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We're looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable. What Yo u’ ll Do: • Discover new sources of audio data and build reliable pipelines to bring them into our training datasets. • Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost. • Collaborate closely with AI Scientists to improve training datasets and support the development of next-generation models. • Take ownership of engineering projects from problem discovery through implementation and continuous improvement. An Ideal Candidate Should Have: • A degree in Computer Science or a related field, or equivalent practical experience. • 5+ years of professional software engineering experience, with strong backend development fundamentals. • Proficiency in Python and Bash in Linux environments. • Experience building and operating production systems, ideally involving data pipelines or large-scale data processing. • Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments. Nice to Have • Experience with web crawlers, data acquisition, or distributed data-processing systems. • Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform. • Familiarity with ML training data, dataset quality, or audio processing. What We Offer • A dynamic environment where your contributions shape the company and its products • A team that values innovation, intuition, and drive • Autonomy, fostering focus and creativity • The opportunity to have a significant impact in a revolutionary industry • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more • An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain The Sweden Based Salary range for this role is: 30,000-115,000 USD/Year + Bonus + Stock depending on experience. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Originally posted on Himalayas

Branche: Elektronik- und Technologiebranche Mitarbeiter: ca.1'000 - 2'000 Referenznummer : L9W86WR4 Kurz und prägnant: SAP Retail, SAP SD/MM, SAP R/3 & S/4HANA, Basis-Support, in Jegenstorf/Home-Office. Dein Aufgabengebiet: • Verantwortlich für den 1st- und 2nd-Level-Support für SAP-Key-User und Anwender:innen gemäss Incident-Prozess (Jira) mit Schwerpunkt SAP Retail (MM/SD) sowie für bereichsübergreifende Fragestellungen • Analyse, Priorisierung und nachhaltige Behebung von Incidents und Service Requests • Unterstützung des SAP-Basis-Teams bei System-Monitoring, SAP-User-Management und weiteren operativen Tätigkeiten • Sicherstellung eines stabilen und effizienten SAP-Betriebs durch strukturierte Fehleranalyse und kontinuierliche Optimierung • Erstellung, Pflege und Weiterentwicklung von Dokumentationen und Anleitungen zur Förderung des Know-how-Transfers • Koordination und Abstimmung mit internen Stakeholdern sowie externen Partnern und Dienstleistern Dein Profil: • Abgeschlossene IT-Ausbildung oder vergleichbare Weiterbildung • Fundierte Praxiserfahrung als SAP-Modulbetreuer:in oder Support-Spezialist:in in SAP R/3 und SAP S/4HANA, insbesondere in den Modulen MM und SD • Kenntnisse im Retail-Umfeld von Vorteil • Sehr gute Deutschkenntnisse in Wort und Schrift; weitere Landessprachen sind ein Plus • Strukturierte, lösungsorientierte Arbeitsweise mit ausgeprägter Service- und Kundenorientierung • Proaktive, adressatengerechte Kommunikation mit unterschiedlichen Anspruchsgruppen • Hohe Eigenverantwortung, Teamfähigkeit und Organisationsgeschick Gehaltsrahmen & Kontakt Das Gehalt wird vertraulich kommuniziert. Für Rückfragen stehen wir dir jederzeit unter +41 55 229 58 58 oder zur Verfügung. Wir freuen uns auf deine Kontaktaufnahme! Originally posted on Himalayas

About the company Omilia is a leader in Conversational AI. Our cloud platform powers natural, human-like customer conversations over voice and chat for some of the largest enterprises in banking, insurance, telecommunications and hospitality, handling hundreds of millions of interactions a year. We build our own deep tech across the stack, from speech recognition and natural language understanding to dialog management, and we integrate natively with the major CCaaS platforms. We are a company of roughly 500 people, distributed across Europe and North America, in the middle of an ambitious platform modernization program: Kubernetes everywhere, autoscaling for every service, a next generation observability stack, and AI woven through our own engineering lifecycle. Role Purpose The Account Executive – Spain is a senior individual contributor responsible for driving new logo and expansion revenue across enterprise accounts in Spain. The role owns the full sales cycle, from prospecting and qualification through to commercial close, targeting large Spanish organisations across priority verticals deploying contact centre AI and conversational automation. Success is measured by new logo ARR, pipeline coverage, win rate, and the quality of strategic relationships built across the Spanish enterprise market. Accountabilities • Own and deliver new logo ARR and expansion revenue targets for the Spanish enterprise market, driving the full sales cycle from prospecting and qualification through to contract signature. • Build and maintain a healthy, accurately forecasted pipeline, providing the Executive VP of Growth, Ibero-America with reliable revenue projections and transparent deal status on a weekly cadence. • Develop and execute a territory plan across priority Spanish enterprise verticals, mapping decision-making structures and aligning Solution Consulting and internal resources to the highest-value opportunities. • Serve as Omilia 's senior commercial representative and trusted advisor for Spanish enterprise accounts, building executive-level relationships and positioning Omilia as the platform of choice for contact centre AI transformation in the Spanish market. • Protect Omilia 's commercial interests by rigorously qualifying opportunities, avoiding engagements where technical challenges, integration complexity, or compliance constraints outweigh realistic partnership potential. • Act as the primary source of Spanish market intelligence, feeding structured feedback on buyer priorities, competitive dynamics, regulatory context, and product requirements to Sales leadership, Product, and Marketing. Key Responsibilities • Develop and execute a structured territory plan across priority Spanish enterprise verticals, including financial services, insurance, telecommunications, utilities, retail, tourism, and public sector, defining target account lists, building a multi-channel pipeline development strategy, and applying rigorous qualification methodology (MEDDIC/MEDDPICC) before committing internal resources. • Lead the full enterprise sales cycle for Spanish opportunities, from discovery and business case development through solution scoping, commercial negotiation, legal review, and contract signature. • Lead the preparation and delivery of proposals, RFP responses, technical presentations, and product demonstrations in Spanish, accurately mapping Omilia 's capabilities to each prospect's business requirements and acting as a trusted advisor on their contact centre challenges and CX transformation objectives. • Build compelling business cases that address objections related to integration complexity, GDPR and AEPD data protection requirements, Spanish language NLU performance across regional variants, and total cost of ownership. • Partner with Solution Consultants to scope and position technically credible solutions, contributing to POC qualification, RFP response strategy, and proposals that map Omilia 's platform portfolio (OCP, miniApps, Pathfinder, CoPilot, TalkGuard, OptimizeIQ) to each prospect's business outcomes. • Manage complex, multi-stakeholder deal cycles, engaging economic buyers, IT decision-makers, procurement, legal counsel, data protection and compliance teams, and executive sponsors to advance deals to closure. • Facilitate a seamless pre-sales to implementation transition, providing knowledge transfer to Professional Services and Customer Success on project scope, contractual obligations, and customer expectations at contract signature. • Build and sustain long-term, multi-threaded relationships with executive, financial, technical, and operational stakeholders at target Spanish accounts. • Represent Omilia at key Spanish industry events and forums, such as ExpoContact and relevant sector-specific conferences, building market presence and sourcing pipeline. • Maintain current awareness of the Spanish and EU regulatory landscape for enterprise AI and contact centre …

Estamos a recrutar Tester de Automação - Remoto (m/f) para reforçar a nossa equipa com possibilidade de trabalhar em regime remoto. O que procuramos: • Licenciatura em Engenharia Informática ou áreas similares (preferencial); • 3 anos de experiência (mínimo) com testes de automação; • Experiência na escrita de scripts de automação com linguagem Java; • Experiência na análise de requisitos, bem como na criação, execução, gestão de casos de teste e gestão de defeitos; • Experiência com Cucumber, Selenium e Gherkin; • Conhecimentos de SQL para consultas e validação de dados; • Experiência com Metodologias Ágeis (será valorizado); • Certificação ISTQB/CTFL (será valorizada). O que temos para oferecer: • Flexibilidade no regime de trabalho (remoto); • Plano de acompanhamento regular; • Participação em projetos com tecnologia inovadora e de dimensão internacional; • Remuneração compatível com a experiência demonstrada, seguro de saúde e seguro de vida; • Dia de Aniversário e Prémio de Referências. Se te revês neste perfil, envia-nos o CV atualizado para Se quiseres saber mais sobre Nós: A Movilges IT Consulting conta com mais de 30 anos de experiência no mercado Espanhol, especializada em Logística, Mobilidade e IT, oferece serviços de Consultoria, desenvolvimento de aplicações e manutenção de sistemas. Tal como o universo tecnológico, em constante evolução, também a Movilges IT Consulting pretende evoluir, aumentando a sua presença em Portugal, não só prestando os melhores serviços a parceiros e clientes, bem como oferecendo as melhores condições, benefícios e oportunidades de crescimento profissional para toda a sua equipa. Em Portugal estamos presentes em diferentes setores, tais como, tecnologia, saúde, administração pública, energia, serviços, banca e seguros. Ao remeter-nos a sua candidatura, autoriza a Movilges IT Consulting a tratar os seus dados pessoais tais como nome, e-mail, contacto telefónico e informações referentes às suas experiências académicas e profissionais, constantes no seu CV. O processamento destes dados serve apenas para os fins legítimos da empresa, ou seja, para os processos de recrutamento de profissionais qualificados para a nossa equipa. Para alguma questão relacionada com os seus dados pessoais pode contactar-nos para o email Originally posted on Himalayas

The role Perform assigned data management tasks, under supervision, on clinical studies or research projectswithin the clinical trial environment. Responsible to ensure completion of tasks, within agreed timelines and in accordance with Harvest Integrated Research Organization’s (HiRO’s) contractual obligations and Standard Operating Procedures. This role is home-based in Romania . Key Responsibilities: Perform the following tasks under supervision of a more senior data management team member: Study Setup • Review clinical trial level documentation (eg protocol) and data management (DM) trial level documentation (e.g. DMP, validation specifications) • Support maintenance of DM trial level documentation (e.g. CCGs, validation specifications) • Support User Acceptance Testing and completion of associated documentation Study Conduct and Close-out • Perform data review and query management activities • Support receipt and perform reconciliation of third-party data • May perform simple SAE reconciliation • Support the receipt, management, entry, QC and review of local laboratory reference ranges • Support EDC User management activities • Provide support for study data and DM documentation archiving General • Ensure accurate maintenance and filing of study documents • Ensure timely and accurate entry of time into timesheet • Maintain awareness of study timelines and follow up any issues that affect these or the quality of the data. Required skills and qualities • Batchelor’s degree level qualification in a scientific discipline is preferred. • Experience in using Microsoft Office • Fluent English: Read, Written, Spoken What we offer: • Mentorship and training to develop your skills in the clinical trials industry • The chance to be part of an effective, dynamic, friendly, and supportive team • Work with new and exciting technologies • Development opportunities Originally posted on Himalayas