Вакансии

Location: Serbia Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. WHO WE'RE LOOKING FOR A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. EXPERIENCE WE FIND USEFUL You don't need all of this. But you need enough to make a case. - Foundation models: training, new architectures, RL, reward modeling, scaling - Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis - Frontier topics: multimodal models, agents, tool use, test-time compute, world models - Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI - PhD in ML/NLP — or equivalent practical experience you can point to - Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions - Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials. WHO THRIVES HERE - Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output. - First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem. - Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. WHAT WORKING HERE IS LIKE We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We don't need a cover letter. A link to something you've built tells us more. Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Germany Workplace: Remote About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. - Foundation models: training, new architectures, RL, reward modeling, scaling - Evaluation: benchmarks, eval loops, quality measurement, LLM-as-judge, failure analysis - Frontier topics: multimodal models, agents, tool use, test-time compute, world models - Published research at ICML, ICLR, NeurIPS, EMNLP, ACL, or AAAI - PhD in ML/NLP — or equivalent practical experience you can point to - Public work: non-trivial AI side projects, interdisciplinary experiments, open-source contributions - Full-stack research ownership: you frame the question, run the experiments, write the paper, ship the result If you learned through building, competitions, or collaborations outside academia — that counts. We care about evidence, not credentials. Who Thrives Here - Pathfinders: You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go. - Full-Cycle Researchers: You believe research isn't finished until it’s shipped. You have a bias for impact over purely academic output. - First-Principles Engineers: You don't just ship code; you obsess over the why. You’re the first to question an approach if you think there’s a better way to solve the core problem. - Mission Owners: You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value researchers who say "I don't know yet" — and then design the experiment that finds out. We treat evaluation as a first-class research product, not a box to check before launch. Impact comes before publications though we support sharing work that moves the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. We don't need a cover letter. A link to something you've built tells us more. Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Toronto; London; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT COHERE AND NORTH Cohere is revolutionizing enterprise AI with North, an agentic AI platform designed to securely deploy AI agents and automations within organizations' infrastructure. North empowers employees to streamline workflows, automate repetitive tasks, and unlock actionable insights while ensuring data privacy and compliance. North combines cutting-edge generative and search models with customizable integrations to drive productivity and innovation at scale. ROLE OVERVIEW We are seeking an Agent Harness Product Manager to own the execution layer that makes North agents reliable, capable, and production-ready. This is a role that sits at the intersection of three domains: Agent Loop and Execution. Own the core agent runtime: tool orchestration, parallel execution, sub-agent delegation, sandbox code execution, and failure recovery. You will define how North agents plan and act across long, multi-step workflows and ensure the execution environment is robust enough for the most demanding enterprise tasks. You are expected to engage at the implementation level, contributing to architecture decisions alongside engineering rather than simply handing off requirements. Context Engineering. Own how our Agents manage the context window as a deliberately controlled resource. This includes progressive disclosure of tools and skills, context compaction and summarization, offloading of large payloads to a persistent filesystem, and the instrumentation that keeps agents oriented across extended trajectories. Model-Scaffolding Co-evolution. Own the feedback loop between North's harness and the Modeling Team. This PM is the connective tissue that makes that possible: ensuring harness design decisions are validated by Modeling before they are built, that evals are the shared bridge between both teams, and that as the harness evolves the model evolves with it. RESPONSIBILITIES - Define and own the roadmap for North's agent harness, including the agent loop, context engineering layer, tool orchestration, sandbox execution, and sub-agent delegation - Serve as the primary interface between North engineering and Cohere's Modeling team, ensuring new harness capabilities are validated before being built and that neither team paints itself into a corner - Own North's agentic evaluation framework, ensuring evals are compatible with both the North harness and Modeling's training infrastructure, and that they serve as a reliable bridge between product and research - Engage enterprise customers to surface real-world agentic failures and translate findings into concrete product and model requirements - Partner with the agentic expert modeling team to define goals that maximize the impact of our models and prioritize model capabilities and evals most critical for delivering on those goals. Establish a clear roadmap for our agentic modeling capabilities. - Stay current with the open-source and commercial agent ecosystem and drive adoption decisions that keep North's architecture aligned with emerging standards. REQUIREMENTS - 5+ years of product management experience as a research PM, in agentic AI systems,, or applied ML products - Deep understanding of agentic harnesses, including the latest paid and open source offerings. - Deep understanding of modern LLM agent architectures, including multi-agent systems, tool-augmented reasoning, memory and retrieval, programmatic orchestration, RAG, and long-horizon execution - Strong grasp of agentic evaluation design, including how to measure task completion, failure recovery, and long-horizon reliability, and how to diagnose model vs. scaffolding gaps - Technically deep enough to contribute to architecture decisions at the implementation level: comfortable reviewing and shaping design docs, reasoning about async execution patterns, sandboxed environments, filesystem design, and the tradeoffs that come with building harness capabilities into a production platform - Ability to flex between ML research conversations and engineering architecture discussions with equal fluency - Track record of shipping platform-layer products with demonstrated impact on reliability, performance, or capability. NICE-TO-HAVES - Direct experience in developing and shipping leading agentic harnesses. - An active practitioner of agent frameworks who regularly builds with and follows the latest developments in open-source harnesses, coding agents, and orchestration tools in both professional and personal work - Hands-on experience with enterprise agentic deployments: multi-tenant orchestration, tool permissioning, audit trails, and compliance requirements - Familiarity with infrastructure constraints relevant to enterprise deployments: on-premises environments, scalability challenges, and the operational tradeoffs of running complex agent workloads in restricted or air-gapped settings - Prior work at the intersection of research and product, translating nascent model capabilities into shipped product features - Background working within or closely alongside an ML research or post-training team. WHY JOIN COHERE? - Impact: Shape how Canada's most important public institutions adopt and deploy frontier AI. - Innovation: Work alongside leading researchers and engineers solving complex ML challenges. - Growth: Competitive compensation, equity options, and opportunities for professional development. - Flexibility: Hybrid work model with offices in key global locations (Toronto, Montreal, New York, San Francisco, London, Paris, and Korea) FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Al Jubail, Saudi Arabia; Yanbu, Saudi Arabia; Karachi, Pakistan; Vadodara, India; Lusail, Qatar; New Delhi, India Eram Talent is seeking an experienced Gas Distribution SCADA Specialist to join a leading energy company in Saudi Arabia. To maintain and administer SCADA system of Marafiq Gas Distribution Network (GDN) in Yanbu including its communication network in order to ensure high equipment availability and optimize system performance.. As a Gas Distribution SCADA Specialist, you will be responsible for the development, implementation, and maintenance of SCADA systems, facilitating real-time monitoring and control of gas distribution activities. Your technical expertise will be critical in maintaining operational integrity and supporting the technical needs of the distribution network. Key Responsibilities Perform preventive and corrective maintenance on SCADA application software, operating systems, hardware, RTUs, and communication networks of the GDN system. Administer and manage SCADA systems and networks, including installation, configuration, and troubleshooting of Windows operating systems and services. Monitor SCADA system performance such as alarms, events, CPU usage, disk space, and network traffic to ensure reliability and efficiency. Analyze and manage real-time data using monitoring techniques, data historian tools, and visualization platforms to extract and present system information. Provide technical support to operations by troubleshooting SCADA failures, generating reports, and resolving system issues. Conduct testing, commissioning, and integration of new SCADA systems, devices, and applications to ensure compatibility with existing infrastructure. Manage system security and user administration, including creating and managing user accounts, password resets, and defining access responsibilities. Maintain backups and disaster recovery processes, ensuring full system backups and restoration in case of partial or complete system failures. Handle hardware maintenance and inventory control, including repairing SCADA equipment, monitoring spare parts stock, and supporting AMI maintenance activities. Support project and engineering activities, including reviewing design packages, participating in site surveys, evaluating technical proposals, managing OPEX/CAPEX tasks, coordinating with vendors/OEMs, and participating in reliability and safety studies (RCA, RCM, HAZOP, IPF). Requirements Bachelor Degree in I&C Engineering, Computer Engineering, Electronics Engineering or equivalent. A minimum of 8 years of experience in SCADA systems specific to gas distribution. 8 years field experience with major utility organizations or SCADA system manufacturers. Enough working experience in SCADA systems of Gas Distribution Network including RTUs in metering skids and related communication systems. Enough working experience in Wonderware SCADA system and Emerson RTUs of Metering Skids. Good understanding of communication protocols and interfaces such as Modbus, RS232/485 etc. Enough working experience in SAP - Plant Maintenance module. Proficient in operating Wonderware SCADA systems and working with Emerson RTUs. Experience with gas distribution networks, including RTUs in metering and control systems. Strong knowledge of communication protocols (Modbus, RS232/RS485, etc.) and integration of field devices. Working experience with SAP - Plant Maintenance module. Relevant certifications such as MCSA, CompTIA Network+, or equivalent are preferred.

Location: Mountain View, California, USA Workplace: Hybrid About Inworld Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads. Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production. We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA. ABOUT THE ROLE Inworld Inference https://inworld.ai/inference serves the models consumer apps run on. We're growing it from an API into a full platform: one place where a team can go from its first API call to its own model, tuned on its own traffic and running on capacity reserved for it. As a Staff or Principal Software Engineer, you'll design that platform's core architecture and write much of its code. You'll define the abstractions every customer workload runs on, and own the system in production at tens of trillions of tokens a month. WHY THIS ROLE - A platform, not a feature. You'll shape the foundation that every future Inference product builds on. The architecture decisions are yours to make. - Real scale from day one. Realtime inference for hundreds of millions of end users, with latency budgets measured in milliseconds. - Hard problems. Scheduling scarce GPUs across many tenants and workloads, model lifecycles from weights to serving, and latency and uptime commitments customers pay for. - Principal-level scope. You'll partner directly with research, product and leadership on where the platform goes next. WHAT YOU'LL DO - Design and build the platform's core services: control plane, model and deployment lifecycle APIs, tenant isolation, metering and quotas. - Own how GPU capacity is allocated and scheduled across shared and reserved workloads, with clear latency, cost and reliability trade-offs. - Build the path that takes a customer's model from weights to production serving, and keeps it healthy as it changes. - Write production code, mostly in Go, every week. You ship services; you don't just configure them. - Define the APIs and abstractions that customers and internal teams build on. Make the right path the easy path. - Lead design reviews and write the technical direction for the platform. Raise the bar for system design across engineering. - Run what you build: set SLOs, take part in incidents, and turn postmortems into design changes. WHAT WE'RE LOOKING FOR - 8+ years building backend or distributed systems in Go, Rust, Java or C++. - You've designed and shipped a multi-service system end to end, and can explain its trade-offs and what broke in production. - Deep understanding of distributed systems: consistency, failure modes, queuing, load balancing and capacity modelling. - Experience building a platform or developer product with external customers: cloud compute, PaaS, serverless, or an API platform. - Clear technical writing. You can turn an ambiguous problem into a design doc that others build from. NICE TO HAVE - Schedulers or resource managers for scarce hardware (GPU clusters, batch systems, cloud compute). - LLM inference serving (vLLM, SGLang, TensorRT-LLM) or ML training infrastructure. - Multi-tenant systems with usage-based billing or contractual SLAs. - Comfortable with Kubernetes, Terraform and GitOps (ArgoCD). IS THIS ROLE FOR YOU? This is a software engineering role. If most of your recent work is maintaining CI/CD pipelines and infrastructure-as-code, this probably isn't the fit. Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week). The US base salary range for this full-time position is $280,000 - $350,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Inworld Jobs Privacy https://inworld.ai/jobs-privacy

Location: Remote - Global fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: You are an experienced software engineer who is passionate about building large-scale computing platforms. You have experience building systems that remain reliable under high traffic, partial failures, and changing capacity. You know how to deliver reliability, performance, and scale with minimum operational load. WHAT YOU'LL DO: - Take ownership of one or more of the Rust/Python systems that power our AI inference and large-scale GPU computing platform - Design for 100x growth in workloads and GPU capacity, with reliable, low-latency execution across the globe - Use AI aggressively to accelerate development and automate repetitive operations, alerting, and recovery You will specialize in one or more of these critical areas: - Request routing and queuing on a global scale - App deployment and autoscaling - Worker orchestration and placement - GPU fleet autoscaling and capacity management - GPU fleet lifecycle automation: provisioning, diagnostics & recovery, upgrades, tracking - Global file storage, caching and distribution - Global IP backbone: private networking across datacenters, elastic public IPs, ACLs/firewalls, private connectivity - Workload execution: containerization, globally distributed filesystems, RAM/VRAM snapshotting QUALIFICATIONS/NICE TO HAVE: - 3+ years building and operating large-scale production systems, with a track record of reliability and scale - Strong Rust and/or Python skills - Strong systems fundamentals, with technical depth relevant to your specialization: distributed coordination, scheduling, fault tolerance, Linux, networking, storage, or capacity management - Experience building and using observability to drive performance and reliability decisions - Clear communication, sound technical judgment, and the initiative to move quickly, drive decisions across teams, and own systems from design through production - Multi-tenant compute platforms, AI inference or training infrastructure, GPU workload scheduling - High-performance systems programming: async runtimes, zero-copy, memory-safe concurrency - Linux systems engineering and fleet automation: configuration management, kernel and driver debugging, safe upgrades, and automated recovery - Distributed filesystems like JuiceFS and Lustre - Experience with Nvidia/AMD GPU infrastructure; DCGM, NVLink, RDMA, InfiniBand/RoCEv2 - Global networking and routing: BGP, ECMP, tunnels, eBPF, Geneve WHAT WE OFFER AT FAL: - Interesting and challenging work - A lot of learning and growth opportunities - Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: European Union Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About the Role Technical consultants play a key role in our company, ensuring top-level delivery of our product, its correct configuration, and the deployment of tailored AI data solutions that meet our customers’ needs and deliver an exceptional experience working with us. As part of this role, you will not only design and implement data labeling pipelines but also act as a trusted technical advisor for our customers - helping them understand their data needs, discover new opportunities, and build scalable AI solutions. We are looking for a person with more than 3 years of solid technical background, who feels comfortable working in technical environments, solving data-related tasks using Python and AI, and communicating directly with customers. You should be a confident communicator able to engage with both technical and executive stakeholders and collaborate closely with our commercial team. Responsibilities 1. Client Ownership & Communication Act as the primary technical point of contact for customers across technical and executive stakeholders. Lead discovery conversations to deeply understand client goals, problems and quality criteria. Translate client needs into clear, actionable solution designs and delivery plans. Advise customers on best practices in data collection, data quality, evaluation, and model training workflows. Set expectations proactively, communicate progress regularly, and manage risks and trade-offs transparently. Identify expansion opportunities and additional ways Toloka can create value through data and AI solutions. 2. Solution Design & Delivery Design end-to-end data solutions using Toloka’s platform, selecting appropriate components, workflows, and quality controls. Configure data labeling components and quality controls, develop user interfaces and AI-driven tooling (e.g. agentic systems, RAGs, synthetic data generation), and integrate them into end-to-end automated pipelines for AI training and evaluation. Run experiments and pilots to validate quality, throughput, and cost assumptions. Lead technical execution during delivery, coordinating internal teams and external stakeholders as needed. Ensure solutions meet agreed quality, performance, and scalability requirements. 3. End-to-End Ownership & Project Management Own delivery outcomes holistically - including technical performance, quality, timelines, and financial efficiency. Monitor key KPIs (e.g. throughput, quality metrics, Gross Margin, Contribution Margin) and act on deviations. Prioritize work based on customer impact and business value. Analyze data to identify failure modes, inefficiencies, and opportunities for improvement. Continuously optimize solutions through iteration, automation, and adoption of new technologies. Troubleshoot delivery, process, or technical issues in collaboration with support, infrastructure, and product teams. Drive solutions toward stable operation with minimal ongoing maintenance. Requirements Core Experience Experience as a Solution Engineer, Technical Solutions Engineer, Data Scientist, Data/Systems Analyst, or Technical Project Manager. Proven experience owning projects end-to-end, including scoping, delivery, and stakeholder management. Direct experience working with external customers on technical projects (requirements gathering, delivery, iteration). Technical Skills Strong Python skills for data manipulation (e.g. NumPy, pandas), natural language processing (e.g. NLTK, spaCy), and building lightweight web services or tools (e.g. FastAPI, Flask). Solid understanding of ML concepts and data workflows; familiarity with LLMs and prompt engineering is a strong plus. Experience designing multi-stage pipelines and complex systems. Understanding of software development fundamentals: version control, testing, MVPs, iterative development etc.. Bachelor’s or Master’s degree in Data Science, ML/AI, Software Engineering, or a related quantitative field such as Physics or Applied Mathematics, with strong analytical foundations. Ability to reason about trade-offs between quality, speed, cost, and scalability. Communication & Ownership Excellent English communication skills (B2+), with the ability to explain complex technical concepts to non-technical audiences. Confidence working with data engineers, ML engineers, and researchers from leading tech companies. Strong ownership mindset: comfortable being accountable for outcomes, not just tasks. Ability to manage multiple projects in fast-paced, ambiguous environments. Nice to have Experience with crowdsourcing, expert workflows, or large-scale data labeling. Experience working on ML training, evaluation, or agentic systems. Familiarity with quality frameworks, audits, or data validation pipelines. What we can offer Full-time independent contractor engagement (B2B) through the Ontop contractor platform , working via your own company or business entity; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Austin, TX About Us Infinitum is revolutionizing electric motors with our patented printed circuit board (PCB) stator technology. We are a pre-IPO company backed by a distinguished group of strategic partners and some of the world’s most influential climate tech funds. With strong traction in shipments and several major customer wins, the market now recognizes the value of our technology and the impact it will have on the future of the industry. We have a world-class R&D organization, an extensive patent portfolio and a strong leadership team which is scaling the company up across all functions. We are headquartered in Austin, TX, and have a state-of-the-art manufacturing facility in Saltillo, Mexico, with room for significant expansion. Increasingly, end customers are willing to pay a premium for solutions featuring “Infinitum Inside.” Our OEM partners are successfully leveraging this differentiation to achieve higher close rates and command greater margins. In short, we believe we have crossed the chasm—introducing breakthrough technology into a traditionally conservative sector. We are now ready to scale our go-to-market team substantially and are seeking team members who are passionate about rapid growth, eager to learn, and excited to tackle the challenges ahead as we make this journey together. About the Role We are looking for a Power Electronics Test Engineer to join our Electronics Team. This role is the critical bridge between our Electronics, Test & Integration, and Manufacturing teams. Your main function is to work closely with the electronics design team to test, debug, and validate power conversion systems. You will also be responsible for investigating sources of failures in Test & Integration or Manufacturing. Responsibilities Perform lab measurements to validate design performance—voltage, current, power, efficiency, switching waveforms, thermal, and EMI Execute functional, performance, and stress testing on motor drives and power products (AC/DC, DC/AC, DC/DC) Support Manufacturing and Test & Integration teams with hardware troubleshooting Build and operate power electronics test benches Diagnose failed field equipment and conduct root cause analysis Create and execute test plans and procedures Document results, failures, and corrective actions Ensure safe testing practices Required Qualifications Bachelor’s degree in electrical engineering or related field 2+ years of applicable industry experience or Master’s degree with emphasis on power electronic engineering. Hands-on experience in power electronics Understanding of basic power electronic converters Ability to read and interpret schematics and datasheets Experience with lab equipment: oscilloscopes, multimeters, power supplies, logic analyzers, electronic loads Understanding of electrical safety for high-voltage systems Strong troubleshooting and analytical skills Basic knowledge of PCB design and layout Preferred Qualifications Hands-on experience with motor drives Knowledge of motor drive control theory Experience with low-voltage power systems (up to 1000V) PCB design experience in Altium Benefits At Infinitum, we have created a collaborative community where everyone feels a sense of belonging and works together to achieve shared goals. Our benefits include: Comprehensive medical, prescription, dental, and vision coverage Health Savings Account (HSA) with employer contributions Healthcare FSA, Limited Purpose FSA, and Dependent Care FSA Company-paid short-term and long-term disability coverage Group Life and AD&D insurance Voluntary Life and AD&D insurance Employee Assistance Program 401(k) retirement plan (no employer match) Stock options Open paid time off (PTO) 12 paid company holidays Potential relocation assistance for eligible positions Flexible work arrangements, including hybrid opportunities based on role requirements Company-paid lunch on Fridays Community give-back opportunities Infinitum embraces diversity and is proud to be an equal opportunity employer. Agency representatives: We appreciate your interest, but we’ve got this!

Location: Tallinn, Estonia Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire an AI Platform Administrator to join our rapidly expanding team. About the Role We are looking for a mid-to-senior AI Platform Administrator to own the day-to-day administration of our enterprise AI tools and to turn AI prototypes into secure, maintainable, production-ready solutions. You will administer our Enterprise AI tools across the organization, and you will take AI automation prototypes (agents, LLM workflows, integrations) and harden, package and document them so they can run reliably on our cloud platforms. Once a solution is live, you maintain, monitor and improve it. This role suits an engineer who enjoys making things work properly in production, and who cares about reliability, security, access control and clean documentation. About Tickmill. Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards.  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. What does the role look like? Administer our enterprise AI platforms: user and licence management, access policies, security and data-handling settings, usage and cost monitoring, and first-line support for users. Manage LLM provider accounts, API keys, model versions and quotas, and keep prompt and configuration changes versioned and auditable. Review AI prototypes and judge whether they are ready for production. Refactor prototype code into maintainable, tested, documented services, mainly in Python. Make each solution enterprise-ready: authentication and access control, secrets management, error handling, logging and monitoring, rate limiting and cost controls. Containerize solutions (Docker) and prepare for deployment on our cloud platform. Integrate AI solutions securely with internal systems and third-party tools such as CRM, Jira, data warehouses and internal APIs. Monitor solutions in production (performance, accuracy, cost, failures), troubleshoot incidents and roll out fixes and model updates. Set up and maintain evaluation and regression testing so that prompt or model changes don’t quietly break behaviour. Ensure solutions meet our data privacy, security and regulatory requirements, working with Compliance, InfoSec and Data teams. Produce and maintain technical documentation, runbooks, user guides and internal AI usage guidelines. What do you need to succeed in this role? Experience in software engineering, platform engineering, DevOps or IT systems engineering, with production systems you have maintained yourself. Hands-on experience administering enterprise SaaS or AI platforms (e.g. Claude, Microsoft 365 Copilot, GitHub Copilot or Azure OpenAI), including user, license and policy management. Strong Python skills, plus experience with REST APIs, webhooks and system integrations. Hands-on experience deploying and operating LLM-based applications, such as RAG pipelines, agents, or tool and function calling. Working knowledge of Docker, CI/CD and Kubernetes concepts. You don’t need to run the cluster, but you must deliver workloads that run well on one. Experience with at least one major cloud provider (AWS, Azure or GCP). A strong grasp of production practices: logging, monitoring, testing, versioning, secrets management and security. Ability to work with both technical and non-technical colleagues, and to push back constructively when something isn’t ready for production. A structured, documentation-minded approach and a high level of ownership. Will be considered a plus: Experience with AWS Bedrock and Amazon Bedrock AgentCore. Experience with Microsoft 365 / Entra ID administration. Experience in FinTech, brokerage, banking or another regulated industry. Experience with agent frameworks (LangChain/LangGraph, CrewAI, AutoGen or similar) and vector databases. Familiarity with LLM observability and evaluation tools (e.g. Langfuse, LangSmith, Arize). Experience with MCP servers, Claude Code or similar developer AI tooling. Knowledge of workflow automation tools (n8n, Make, Power Automate) and business systems such as Jira and HubSpot. Understanding of data governance, GDPR and AI risk management. By joining us, you can expect: A Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience. Opportunities to learn and grow through our “ Employee Training & Development program”. Stebby Sports Compensation or Confido Health Compensation. Multiple events to bond with the team and the group. Birthday and Loyalty benefits . Make your next Career step and apply NOW! *Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Limassol, Cyprus Are you looking for the next professional opportunity, that will challenge you and advance your career? Join our team now! Tickmill is looking to hire an AI Platform Administrator to join our rapidly expanding team. About the Role We are looking for a mid-to-senior AI Platform Administrator to own the day-to-day administration of our enterprise AI tools and to turn AI prototypes into secure, maintainable, production-ready solutions. You will administer our Enterprise AI tools across the organization, and you will take AI automation prototypes (agents, LLM workflows, integrations) and harden, package and document them so they can run reliably on our cloud platforms. Once a solution is live, you maintain, monitor and improve it. This role suits an engineer who enjoys making things work properly in production, and who cares about reliability, security, access control and clean documentation. About Tic kmill . Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options). Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide. Our culture is built on trust, transparency, and high standards .  We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields. Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can. We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth. What does the role look like? Administer our enterprise AI platforms: user and licence management, access policies, security and data-handling settings, usage and cost monitoring, and first-line support for users. Manage LLM provider accounts, API keys, model versions and quotas, and keep prompt and configuration changes versioned and auditable. Review AI prototypes and judge whether they are ready for production. Refactor prototype code into maintainable, tested, documented services, mainly in Python. Make each solution enterprise-ready: authentication and access control, secrets management, error handling, logging and monitoring, rate limiting and cost controls. Containerize solutions (Docker) and prepare for deployment on our cloud platform. Integrate AI solutions securely with internal systems and third-party tools such as CRM, Jira, data warehouses and internal APIs. Monitor solutions in production (performance, accuracy, cost, failures), troubleshoot incidents and roll out fixes and model updates. Set up and maintain evaluation and regression testing so that prompt or model changes don’t quietly break behaviour. Ensure solutions meet our data privacy, security and regulatory requirements, working with Compliance, InfoSec and Data teams. Produce and maintain technical documentation, runbooks, user guides and internal AI usage guidelines. What do you need to succeed in this role? Experience in software engineering, platform engineering, DevOps or IT systems engineering, with production systems you have maintained yourself. Hands-on experience administering enterprise SaaS or AI platforms (e.g. Claude, Microsoft 365 Copilot, GitHub Copilot or Azure OpenAI), including user, license and policy management. Strong Python skills, plus experience with REST APIs, webhooks and system integrations. Hands-on experience deploying and operating LLM-based applications, such as RAG pipelines, agents, or tool and function calling. Working knowledge of Docker, CI/CD and Kubernetes concepts. You don’t need to run the cluster, but you must deliver workloads that run well on one. Experience with at least one major cloud provider (AWS, Azure or GCP). A strong grasp of production practices: logging, monitoring, testing, versioning, secrets management and security. Ability to work with both technical and non-technical colleagues, and to push back constructively when something isn’t ready for production. A structured, documentation-minded approach and a high level of ownership. Will be considered a plus: Experience with AWS Bedrock and Amazon Bedrock AgentCore. Experience with Microsoft 365 / Entra ID administration. Experience in FinTech, brokerage, banking or another regulated industry. Experience with agent frameworks (LangChain/LangGraph, CrewAI, AutoGen or similar) and vector databases. Familiarity with LLM observability and evaluation tools (e.g. Langfuse, LangSmith, Arize). Experience with MCP servers, Claude Code or similar developer AI tooling. Knowledge of workflow automation tools (n8n, Make, Power Automate) and business systems such as Jira and HubSpot. Understanding of data governance, GDPR and AI risk management. By joining us, you can expect: Unique Opportunity for a career in a global, fast-growing company. Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance). Opportunities to learn and grow through our “Employee Training & Development program”. Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care. Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company. Participation in our welfare investment and savings plan through our Provident Fund Scheme. Birthday and Loyalty benefits. Collaboration with SportBenefit. Make your next Career step and apply NOW! * Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

Location: Jackson, United States Position Summary The Senior Electrical Engineer develops and implements new electrical technologies for air compressor products. Reporting to the Director of Engineering, this role provides hands-on engineering support for electrical components and systems and partners with Purchasing, Manufacturing, and Quality to design, validate, and launch new products for the global compressor market. This position requires strong problem-solving skills and comfort working in a fast-paced, collaborative environment. Key Responsibilities • Design electrical components, assemblies, and systems for air compressor products. • Perform design calculations and engineering analysis to validate product designs. • Create and execute test protocols for electro-mechanical design validation and reliability. • Ensure products meet applicable compliance standards and certification requirements (UL, ETL, CSA). • Develop, maintain, and communicate project schedules, milestones, and status updates to internal teams and external partners. • Partner with Manufacturing and third-party agencies (UL/CSA) to support compliance testing and approvals, including UL1450 and CSA C22.2 No. 68. • Support product improvement and cost reduction initiatives. • Conduct failure analysis using standard lab equipment, document findings, and provide clear written reports. • Support new product development processes (Stage-Gate or milestone-based). • Provide technical support to internal teams and collaborate with suppliers and vendors on product changes and improvements. Core Technical Competencies • Electric motors: Single-phase and three-phase induction, universal, PMDC, and brushless DC. • Motor controls: Design systems to start/stop motors safely, reliably, and durably. • Documentation: Create and interpret schematics and wiring diagrams for assembly and troubleshooting. • Testing: Build rigorous validation plans that prove system reliability. • System integration: Strong understanding of integrating electrical systems into complete products. • Regulatory compliance: Experience working with UL/CSA and manufacturing teams to meet standards. • Hands-on capability: Strong mechanical intuition and practical, hands-on engineering approach. • Communication: Clear, effective collaboration with internal teams and external vendors. Education and Experience • Bachelor’s degree in Electrical Engineering required. • 7+ years of electrical engineering experience focused on electric motors and motor controls. Air compressors or power tools experience preferred. • Experience with new product development in a manufacturing environment. • Project management and organization skills using Microsoft Office tools. • Experience with cost reduction and product improvement projects. • Experience with battery and battery charging systems preferred. • Ability to create and interpret schematic and wiring drawings. • Experience with PCB layout. EMC/EMI experience is a plus. • Knowledge of ASME pressure vessels is a plus. • Proficient in Windows and Microsoft Office. Work Requirements • Full-time role (40 hours/week). Additional hours may be required to meet deadlines. • Must meet attendance standards and follow safety and security practices. Salary: $100 – $135 / year

Location: South Africa; Mexico; Colombia; Panama; Brazil; Argentina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Automation Engineer (n8n Specialist) to design, build, and maintain the workflow automation systems that power our client’s operations. This is a hands-on engineering role focused on executing automation requirements within sprint cycles. You will work closely with the automation lead and operations team to develop n8n workflows, system integrations, and scalable automation pipelines that support client campaigns and internal processes. Key Responsibilities n8n Workflow Development Build, test, and deploy n8n workflows that automate operational processes such as lead enrichment, signal detection, outreach sequencing, reply routing, and reporting. Maintain and optimize existing workflows by improving error handling, logging, execution speed, and scalability. Design workflows that are modular and reusable across multiple clients rather than one-off builds. Troubleshoot production issues quickly, identify root causes, and implement safeguards to prevent recurring failures. Integration & Data Flows Build and maintain integrations between operational tools including Airtable, Clay, Slack, CRM systems, outreach platforms, and custom APIs . Manage data integrity across systems through field mapping, validation logic, deduplication, and error handling. Work with webhooks, REST APIs, authentication systems, and JSON data transformations . Sprint Execution & Team Collaboration Work within Airtable-managed sprint cycles to pull tasks from the backlog, estimate effort, and deliver automation projects on schedule. Participate in daily standups, sprint planning, and retrospectives . Communicate blockers early and collaborate closely with the automation lead and operations team. Document workflows, architecture decisions, and deployment processes to ensure maintainability. Quality & Reliability Thoroughly test workflows before deployment, including edge cases, rate limits, empty datasets, and error scenarios. Monitor production automations and proactively resolve issues before they impact operations. Maintain well-organized automation environments with consistent naming conventions and credential management. Requirements Required Skills Extensive n8n automation experience in production environments , building complex workflows that support real business operations. Strong understanding of workflow execution design, error handling branches, webhook triggers, and sub-workflow patterns . Proven experience working with REST APIs, webhooks, JSON transformations, and authentication methods such as OAuth and API keys. Proficiency with Airtable as both a data tool and project management system (views, linked records, formulas, automations). Experience working in agile or sprint-based environments with standups, planning sessions, and retrospectives. Strong remote collaboration skills using tools such as Slack and project management platforms. Ability to produce clear technical documentation for workflows, architecture, and troubleshooting. Preferred (Bonus) Skills Development experience with JavaScript or Python for custom automation logic or helper scripts. Experience integrating automation workflows with AI or LLM APIs (e.g., OpenAI, Claude). Familiarity with outbound operations tools such as Clay, HeyReach, SmartLead, HubSpot, or similar CRM systems . Strong understanding of automation architecture and system design for scalable operations . Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations | Austin, US | New York, NY | San Francisco, CA | Seattle, US or London, UK About the Role Emerging Technologies & Incubation (ETI) builds and launches new products on Cloudflare’s global network. Within ETI, you’ll join the Storage Infrastructure team to build and operate a shared storage platform for the teams behind stateful products such as R2, Workers KV, and Durable Objects. We manage the underlying storage hardware, distributed databases, and object storage clusters, including fleet lifecycle automation, capacity, hardware validation, failure-domain planning, observability, and production operations. In this role, you will build platform software and automation that makes these fleet operations safe, repeatable, and scalable. Responsibilities Design and build automation and operator tooling for provisioning, configuring, expanding, upgrading, and decommissioning storage hardware, distributed databases, and object storage clusters. Engineer globally distributed storage fleets to tolerate hardware failures, network disruption, capacity pressure, and recovery events across multiple failure domains. Develop observability, alerting, and safety controls that help engineers understand fleet health and make auditable production changes. Diagnose incidents across Linux, storage, networking, and distributed systems; participate in on-call and implement durable fixes that reduce operational toil. Use AI tools throughout development and operations to accelerate debugging, incident triage, root-cause analysis, and toil reduction, while applying sound engineering judgment and verifying outputs before taking production action. Validate new storage hardware and characterize its performance during normal operation, failures, rebuilds, and other recovery conditions. Partner with R2, Workers KV, Durable Objects, Network, Capacity Planning, Performance Engineering, and Infrastructure Operations to turn service requirements into infrastructure capabilities. Desirable Skills, Knowledge, and Experience Experience designing, building, and operating infrastructure platforms or large-scale production fleets, including automation of lifecycle operations. Strong Linux systems knowledge and experience troubleshooting across compute, storage, and networking layers. Experience operating distributed systems in production, including observability, incident response, reliability improvements, and safe change management. Ability to write maintainable software in at least one programming language, such as Go, Rust, or Python. Strong written and verbal communication skills, with experience collaborating across engineering teams and technical stakeholders. Bonus Points Experience operating distributed databases or object storage systems, with knowledge of storage fundamentals such as filesystems, SSD behavior, replication, and rebuild dynamics. Experience with bare-metal provisioning, hardware lifecycle management, or storage hardware validation. Experience with infrastructure-as-code, configuration-management, or observability systems such as Terraform, SaltStack, Prometheus, or Grafana. Experience with capacity modeling, workload placement, failure-domain planning, or cross-datacenter networking. Compensation Compensation may be adjusted depending on work location. F or Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos. This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration. This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety. Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl. Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs. Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically. Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities. Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences. What We're Looking For Deep experience building AI-enabled product systems, not just running experiments. Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries. Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods. Ability to work fluently across backend engineering, product constraints, and user workflow design. Clear judgment about where agent systems should be flexible and where they should be constrained. Comfort working in ambiguous environments where patterns are still being invented. Why This Role Matters The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team. #LI-HYBRID #LI-DJ1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $251,835 — $314,794 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Béthune, Pas-de-Calais, France 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 building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US. This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement. The work location is in Béthune, France. Your responsibilities will include: Deep Technical Investigation (Primary Focus) Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions). Detect recurring patterns across sites and convert findings into durable fixes. Own technical workstreams during high-severity incidents. Vendor & R&D Collaboration Build evidence packs and drive escalations with ODM and R&D. Push for firmware, component, and platform-level resolutions. Track outcomes and ensure knowledge flows back to operations. Firmware & Platform Readiness (BIOS/BMC) Support validation and rollout of firmware updates (risk assessment, staging, rollback planning). Help operationalize platform standards across datacenters. Knowledge & Enablement Create scalable runbooks, troubleshooting guides, and error catalogs. Turn investigations into playbooks that elevate L1/L2 teams. Hands-on Support (As Needed) Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment. We expect you to have: Strong hands-on experience with datacenter servers and deep Linux troubleshooting. Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage). Structured incident response experience and clear communication under pressure. Experience driving evidence-based escalations with vendors/R&D. Fluent English (written and spoken). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation). Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Experience supporting enterprise bare metal customers under contractual SLAs. 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.

Location: Mäntsälä, Finland 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 building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US. This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement. You’re welcome to work in our DC in Mäntsälä, Finland. Your responsibilities will include: Deep Technical Investigation (Primary Focus) Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions). Detect recurring patterns across sites and convert findings into durable fixes. Own technical workstreams during high-severity incidents. Vendor & R&D Collaboration Build evidence packs and drive escalations with ODM and R&D. Push for firmware, component, and platform-level resolutions. Track outcomes and ensure knowledge flows back to operations. Firmware & Platform Readiness (BIOS/BMC) Support validation and rollout of firmware updates (risk assessment, staging, rollback planning). Help operationalize platform standards across datacenters. Knowledge & Enablement Create scalable runbooks, troubleshooting guides, and error catalogs. Turn investigations into playbooks that elevate L1/L2 teams. Hands-on Support (As Needed) Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment. We expect you to have: Strong hands-on experience with datacenter servers and deep Linux troubleshooting. Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage). Structured incident response experience and clear communication under pressure. Experience driving evidence-based escalations with vendors/R&D. Fluent English (written and spoken). It will be an added bonus if you have: Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation). Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts. Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis. Exposure to OCP -based platforms and ODM manufacturing ecosystems. Experience supporting enterprise bare metal customers under contractual SLAs. 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.

Location: Global (Remote) Workplace: Remote DECISION INTELLIGENCE ANALYST Team: Product Location: Flexible / Remote Reporting to: VP of Product ROLE OVERVIEW Rwazi’s platform produces decision-grade outputs powered by structured reasoning and AI-assisted judgment. The Decision Intelligence Analyst owns decision quality. This role evaluates system outputs, identifies reasoning weaknesses, and strengthens AI judgment through structured feedback and training loops. It ensures the platform does not merely generate outputs — but generates sound, defensible decisions. The Decision Intelligence Analyst is the quality control layer for decision intelligence. CORE MANDATE The Decision Intelligence Analyst is accountable for: - Evaluating decision outputs for logical integrity and sound reasoning - Identifying patterns of judgment failure or inconsistency - Designing structured feedback loops to improve AI reasoning - Training and refining AI judgment frameworks - Defining measurable standards for decision quality This role governs the reliability of Rwazi’s decision engine. KEY RESPONSIBILITIES DECISION OUTPUT EVALUATION - Review system outputs for logical coherence and reasoning rigor - Assess signal interpretation accuracy - Identify tradeoff miscalculations or flawed inference pathways - Document recurring reasoning gaps AI JUDGMENT TRAINING - Create structured examples to refine reasoning performance - Develop edge-case libraries for training robustness - Formalize evaluation rubrics for decision quality - Collaborate with R&D to improve reasoning architecture QUALITY STANDARDS & METRICS - Define measurable criteria for decision-grade output - Track improvements in reasoning consistency - Monitor drift in output quality over time - Establish acceptance thresholds for release FAILURE MODE ANALYSIS - Identify systemic reasoning weaknesses - Surface blind spots in signal modeling - Propose structured adjustments to logic layers - Escalate structural flaws early CROSS-FUNCTIONAL COLLABORATION - Partner with Product to align quality with roadmap goals - Collaborate with R&D on advanced reasoning improvements - Provide structured feedback to Engineering when system behavior deviates ROLE IMPACT Strong performance in this role results in: - Higher confidence in decision outputs - Reduced reasoning inconsistencies - Improved explainability - Faster detection of system drift - Stronger enterprise trust This role protects the intellectual credibility of the platform. WHAT THIS ROLE IS NOT - This is not general QA - This is not surface-level data validation - This is not simple output review This role evaluates reasoning quality, not formatting correctness. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong analytical and logical reasoning ability - Experience evaluating AI systems, decision frameworks, or complex models - Comfort dissecting multi-step reasoning chains - Ability to formalize judgment criteria - Strong written clarity and structured thinking - Comfort working with ambiguity and edge cases Candidates may come from applied AI evaluation, consulting, operations research, economics, philosophy of logic, or technically rigorous analytical fields. CULTURAL FIT We value analysts who: - Obsess over reasoning integrity - Question outputs rather than accept them - Care about intellectual rigor - Prefer structured evaluation over intuition - Are comfortable holding high standards HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to critique and improve structured reasoning - Clarity of their evaluation frameworks - Depth of logical analysis - Ability to identify hidden failure modes - Their rigor in defining measurable quality standards We prioritize demonstrated reasoning discipline over titles alone. SUMMARY The Decision Intelligence Analyst safeguards the quality and integrity of Rwazi’s decision engine. This role ensures that as AI capabilities expand, decision outputs remain structured, defensible, and enterprise-grade.

Location: Global (Remote) Workplace: Remote DECISION SYSTEMS ARCHITECT Team: Product Location: Flexible / Remote Reporting to: Product Leadership ROLE OVERVIEW Sena is designed to translate complex business intent into decision-grade outputs at scale. The Decision Systems Architect plays a critical role in advancing Sena’s decision capabilities by formalizing judgment, reasoning frameworks, and evaluation logic into system-native structures. This role focuses on extending the breadth, depth, and consistency of Sena’s decision logic as new customer use cases, signal types, and business questions emerge. This is a product-embedded role at the intersection of systems thinking, applied reasoning, and AI enablement. KEY RESPONSIBILITIES The Decision Systems Architect is responsible for: - Designing and refining decision frameworks that guide how Sena interprets customer intent - Defining signal mapping logic that structures how business questions are decomposed into actionable signals - Establishing configuration schemas that specify how data must be captured to support decision-grade outputs - Creating evaluation criteria and quality standards used to assess system outputs - Identifying recurring patterns, edge cases, and failure modes, and formalizing them into reusable system logic - Producing structured artifacts that directly inform Product and AI development workflows - Collaborating closely with Product, AI, and Engineering teams to ensure decision logic is encoded effectively into Sena All work in this role is expected to be system-oriented, reusable, and extensible. ROLE IMPACT AND GROWTH This role contributes to Sena’s evolution as new business problems, customer objectives, and data environments emerge. As the system’s capabilities expand, the focus of this role naturally shifts toward: - New classes of customer questions - New signal types and constraints - More complex decision structures and tradeoffs - Higher-order reasoning patterns that have not yet been formalized This role remains at the frontier of decision design as the product evolves. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong systems thinking and the ability to formalize complex reasoning - Experience designing frameworks, methodologies, or structured decision logic - The ability to translate ambiguous problems into clear, explicit structures - Comfort working in highly autonomous, fast-moving environments - Intellectual curiosity and a willingness to challenge established methods Candidates may come from applied research or technically rigorous domains where deep reasoning, formal abstraction, and the hands-on design of complex decision systems were core to the work. CULTURAL FIT We value people who: - Take initiative and operate with high ownership - Produce high output with limited resources - Prefer autonomy and accountability - Are inventive and comfortable rejecting outdated approaches - Are deeply focused and driven by hard problems This role is best suited for individuals who enjoy building foundational systems and pushing the boundaries of what software can reason about. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to structure and reason through ambiguous problems - The clarity, generalizability, and technical rigor of the frameworks they design - How effectively their thinking can be translated into system-level logic - The quality and rigor of their judgment under real-world constraints - Their ability to independently design, execute, and iterate on decision frameworks We prioritize demonstrated capability and depth of thinking over resumes alone. SUMMARY The Decision Systems Architect helps define how Sena thinks as it continues to expand across new domains and use cases. This role is central to shaping the system’s long-term decision intelligence and is designed for individuals who want to work at the intersection of reasoning, systems, and product design.