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Location: South Africa; Egypt; Ethiopia; Morocco; Jamaica; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established businesses in SaaS, MarTech, FinTech, and EdTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a core member of their team—giving you real ownership, career progression, and long-term stability. Role Type: Full-time Engagement: Independent Contractor About the company Our client is a fast-growing cybersecurity firm specializing in the intersection of AI governance and advanced threat protection. Operating as both a strategic partner for enterprise CISOs and a go-to-market engine for security startups, the team provides a sophisticated suite of solutions including agentic workflow security, browser-based GenAI DLP, and automated pentesting. They focus on helping organizations across the UK and Europe navigate the modern threat landscape by implementing guardrails for emerging technologies while streamlining compliance for frameworks like DORA and ISO 27001. This innovative company bridges the gap between cutting-edge security technology and real-world enterprise needs. By vetting and deploying elite solutions—ranging from deception-based honeypots to intent-based email security—the team ensures businesses remain resilient against next-gen risks. With a high-performance culture centered on hands-on execution and technical excellence, they offer a unique environment where employees can work at the forefront of AI security and European market expansion. Job Summary As enterprises rush to deploy GenAI and agentic AI workflows, the need for robust security has never been higher. This company acts as the specialist bridge between cutting-edge AI security innovators and the global enterprises that need them. We are looking for a high-energy, independent Mid-Level SDR to join a growth-stage team with established processes. This is a high-volume, high-reward role designed for someone who thrives on the phones and wants to transition into a closing role within 4 to 6 months. Key Responsibilities Execute high-volume outbound prospecting, making 100-300 calls daily via a dedicated dialing platform. Identify and qualify new business opportunities to maintain a target of 7 qualified meetings per week (minimum 20 completed meetings per month). Own the front-end of the sales cycle, including lead sourcing, territory planning, and pipeline management. Utilize LinkedIn Sales Navigator and Microsoft Office to research and engage key decision-makers in the cybersecurity and AI space. Manage a territory independently, ensuring a consistent flow of qualified leads for the sales team. Requirements Experience: Proven track record in SaaS or Tech sales. Skills: Expertise in lead sourcing, qualification, and territory planning. Tools: Mastery of Microsoft Office and LinkedIn Sales Navigator is a must. Communication: Fluent in English with strong verbal and written communication skills. Driven Personality: A self-starter who is comfortable with high-volume dialing and performance-led targets. Nice-to-Haves 1+ year of previous SDR experience with demonstrable success metrics, ideally within the cybersecurity sector. Familiarity with Apollo.io. Multilingual capabilities in German, Spanish, or French. Benefits 🌎 Fully remote role with flexible working hours 🚀 Work with high-growth international companies 🎯 Performance-based bonuses and incentives 🧠 Ongoing training, mentorship, and sales development support

Location: Remote About the company: In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered. KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects. Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations. KoBold runs exploration programs in eight countries, all with the potential for another discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi. About The Role: In this role, you will develop state of the art instruments to collect data to guide our exploration programs. You will simulate, characterize, and calibrate sensor performance and design new data acquisition systems. Working with vendors and partners, you will build hardware and work with our operations staff to deploy it in the field. With this sensor data and other data sources at KoBold, you will build models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will be creating models and developing software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will identify new opportunities and technologies for geophysical data collection, create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying next generation hardware and using data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up. Responsibilities of this position include: Technical execution Design, develop, and deploy new mineral exploration data collection instruments and methods. Help develop KoBold’s proprietary software exploration tools. Find and curate a wide variety of geospectral, geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system. Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust. Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. Develop and apply a range of data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions. Present to and collaborate with our external partners and stakeholders. Push the state of the art in analysis capabilities by implementing statistically rigorous spatially aware clustering, anomaly detection, and other analysis methods Collaborate with data scientists, geoscientists and engineers to invent and deploy algorithms that combine large and complex data sets for mineral exploration and discoveries Qualifications Demonstrated ability to quickly absorb and synthesize complex information, with a track record of high intellectual rigor in a professional setting. Exceptional curiosity and eagerness to learn, with a proactive approach to exploring new concepts and technologies. A successful track record of developing complex equipment with cross-disciplinary teams and vendors. Technical skills, including extensive experience with: Physical measurement and data analysis systems that use phenomena such as optics, electromagnetism, radiation, and gravity. Applying scientific knowledge to identify and prototype emerging technologies Systems integration and data acquisition. Python’s data science packages and general software engineering practices. Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. SQL, as well as familiarity with non-relational databases. Cloud computing resources. Building a wide variety of predictive models, applying them to different problems, and evaluating and interpreting the results. Data analysis, physics analysis, and applied statistics on a broad range of types of data including data from physical systems. Capacity to dive deep on novel challenging problems in applying ML to mineral exploration, including understanding a complex domain of geology and mineral exploration practices as well as working with limited, disparate and noisy data sources Experience deploying sensors in the field Work practices and motivation: Ability to take ownership and responsibility of large projects. Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Open to working directly with geologists in the field. Enjoys constantly learning such that you are driving insights and innovations. Ability to explain technical problems to and collaborate on solutions with domain experts who aren’t software developers. A strong communicator who enjoys working with colleagues across the company. Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Ability to independently prioritize multiple tasks effectively. It is also helpful but not required to have experience with: Remote sensing Creating machine learning models on geospatial data Image processing or computer vision Project and team management What to Expect Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field. KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status. This position is Full-time Exempt Salary is one part of KoBold’s total compensation. The US salary range for this role is between $125,000 and $235,000, and will depend on your skills, qualifications, experience, and location. In addition to salary, we offer equity compensation. We also offer benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer paid sick time and parental leave." Location: Remote, Candidates can be located anywhere in the United States or Canada. All candidates must be legally authorized to work in the United States or Canada. 10-20% travel required. Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.

Location: San Francisco; Sunnyvale Workplace: Hybrid About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: We are building a core team to develop next-generation native video and omni foundation models for multimodal generation and understanding. Our current focus is large-scale video foundation model development, spanning pre-training, continued training, and post-training for high-quality, controllable, consistent, and efficient generation. Our broader roadmap includes reference- and memory-based generation, multimodal understanding and interaction, and joint audio-video generation. In this role, you will work on foundational research and large-scale model development across the full model lifecycle, including architecture, data, training, evaluation, post-training, training systems, and efficient inference. You will have the opportunity to shape both the technical direction and the team from an early stage. What You’ll Do: - Research, develop, and scale native video and multimodal foundation models, from early prototypes through large-scale pre-training, continued training, and post-training. - Explore new model architectures, training objectives, and conditioning mechanisms for video generation, reference- and memory-based generation, multimodal interaction, and joint audio-video generation. - Build and improve large-scale data curation, distributed training, evaluation, and post-training pipelines for high-quality and controllable generation. - Design systematic experiments to understand model scaling, generation quality, controllability, consistency, robustness, and inference efficiency. - Collaborate closely with researchers, engineers, and product teams to help shape the technical roadmap and, where appropriate, translate model advances into real-world capabilities. - Contribute to research publications and open-source releases when appropriate. What You’ll Bring: - Strong research and engineering experience in generative modeling, including areas such as diffusion models, flow matching, DiTs, video generation, multimodal models, world models, or related fields. - Hands-on experience training and evaluating large-scale image, video, or unified multimodal models using modern deep learning frameworks and distributed training systems. - A strong track record of developing impactful models or systems, demonstrated through research publications, open-source contributions, production impact, or other significant technical work. - Ability to independently own ambiguous research problems, move effectively from ideas to experiments, and work well in a highly collaborative environment. - Specialized depth in one or more areas across the foundation model lifecycle, such as model architecture, data curation, controllable generation, multimodal understanding and conditioning, post-training and reward modeling, model acceleration, inference systems, or deployment. Compensation: The anticipated annual base salary range for this role is between $200,000-$320,000. When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data. Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: United Kingdom; United Arab Emirates; Spain Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote, anywhere in Spain, the UK, or the UAE. Contract: Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain) UK: Full-time, permanent (local contract) UAE: Full-time, permanent via Deel (our employer of record in the UAE) Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async. Curious what it's actually like to work at Airalo? We've put together a guide for each of the hubs we hire from most, covering our benefits, remote culture, employment setup, and what our team values most: Life at Airalo · España: https://airalo-public.notion.site/life-at-airalo-espana Life at Airalo · United Kingdom: https://airalo-public.notion.site/life-at-airalo-united-kingdom Life at Airalo · United Arab Emirates: https://airalo-public.notion.site/life-at-airalo-united-arab-emirates   As Marketing Strategy Director at Airalo, you will collaborate closely with the Growth organization to define and optimize acquisition, conversion, and retention targets across regions and channels. You will operate as a central, region agnostic capital allocator within Growth — ensuring time, budget, and effort are deployed toward the highest incremental impact opportunities. Acting as a key partner to Growth leadership, you will turn complex data into clear trade off decisions, pressure test assumptions, and help determine where the next dollar and the next hour should be invested. In this role, you will own Growth’s forecasting and planning processes, ensuring regional and central teams are aligned on targets, assumptions, and trade offs. You will run the operating cadence for Growth, steward the business inputs, scenario frameworks, and planning logic layered on top of Data’s forecasting model, and translate performance insights into cross regional and cross channel allocation decisions that improve incremental growth and capital efficiency — operating within the financial guardrails set by our Finance team. Responsibilities include but are not limited to: Forecasting, Planning & Operating Rhythm Own Growth’s forecasting process end to end: gather assumptions, challenge inputs, coordinate with Data, and prepare forecast narratives for leadership Maintain and continuously refine the business logic, pacing, scenario planning, and target setting frameworks built on top of Airalo’s forecasting model Lead monthly and quarterly business reviews — prepare materials, synthesize insights, and ensure follow-ups drive real action Run weekly operating cadence for Growth: performance reviews, KPI tracking, variance analysis, and strategic escalations Budget Allocation & Strategic Decision Support Build data-driven recommendations on spend allocation across regions and channels, using CAC, pLTV, incrementality and ROI insights to optimize for incremental profit/growth Conduct granular regional deep dives (country/segment/channel) and identify levers to improve growth or efficiency. Identify cross-regional capital reallocation opportunities and quantify trade-offs between markets (e.g., where incremental $1 delivers highest marginal return). Partner with Growth, Product, Brand, and Finance to align on targets, trade-offs, and the drivers behind plan variances. Analytics Partnership & Insight Activation Serve as Growth’s primary business partner to the Data team: consolidate analytical needs, provide business context, and ensure high-quality inputs into Data’s roadmap. Translate analytical outputs (forecasts, dashboards, experiment results) into decisions, actions, and processes that stick. Ensure Growth teams adopt and operationalize dashboards and models — build documentation, training, and clear workflows. Cross-Functional Strategy & Special Projects Lead cross-functional projects such as regional/channel diagnostics, efficiency audits, or market deep-dives - including 30 day “drop-in” sprints to fix specific business problems Build frameworks that guide decision-making: ROI models, sizing models, scenario tools, prioritization structures. Identify and implement process improvements across the Growth org to increase speed, clarity, and execution quality. Must Haves: 9+ years in Marketing Strategy, BizOps, FP&A, Management Consulting, Strategy & Operations, or similar analytical roles. Demonstrated experience owning planning cycles and influencing capital allocation decisions at a multi-market or global level. Demonstrated ability to maintain forecasting models (Excel/Sheets) and run scenario planning, CAC/LTV experience, pacing, and ROI logic. Strong analytical proficiency: Excel (advanced), and comfort working with SQL and modern BI tools (Looker, Lightdash, Tableau). Experience with MMM models a plus. Clear experience turning data into recommendations — not just reporting results, but synthesizing insights into “what we do next.” Ability to challenge assumptions, pressure-test inputs, and navigate ambiguous or incomplete data. Experience working cross-functionally with channel leads, PMs, and Data teams; strong communication skills with senior stakeholders. Comfort managing complex, deadline-driven projects, prioritizing across markets, and driving alignment among multiple teams. A proactive, structured problem-solver who can pick up unclear problems, untangle them, and deliver clarity with minimal guidance. Nice To Haves: Experience in consumer tech, marketplace, travel, or subscription businesses Familiarity with marketing analytics: attribution, CAC/LTV modeling, incrementality testing, funnel analysis Comfort coordinating experimentation roadmaps and interpreting lift tests or causal results Prior experience as the business partner to a Data/Analytics org Why People Join Us 🇪🇸 Why people join us in Spain We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team is united by a shared belief that great work happens when people are trusted to own what they do. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact. For many of our teammates in Spain, it's the combination of stability, flexibility, and genuine work-life balance that makes Airalo feel like home. 🇬🇧 Why people join us in the UK We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product first discovered us as customers. Our team spans 60+ countries, but what people often notice quickly is how work actually feels here. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, people tend to stay for a mix of things: the chance to work on a product used globally, the autonomy to shape how they work, and the opportunity to keep taking on new challenges without getting stuck in one lane. 🇦🇪 Why people join us in the UAE We're a fully remote team across 60+ countries, built on a simple idea: trust people to own their work and deliver without unnecessary layers or heavy process getting in the way. Many people joining us from the UAE are looking for clarity in scope and real ownership in their role. They want to know what they're responsible for, how success is measured, and have direct access to the people making decisions. What often stands out is the combination of a global, product-led company with a flexible remote setup. For many, it's the opportunity to work on a product used by millions of travelers worldwide, alongside a team that moves quickly and values clear ownership and accountability. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 📍 UK £80,800 - £119,500 📍 Spain: €65,600 - €94,500 📍 UAE: 403,500 - 505,500 AED Your Home Destination 🛫: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!  🎒✨

Location: New York; Philadelphia; Newark; Boston Workplace: Hybrid COMPANY OVERVIEW Veloq is the software platform powering the next generation of grocery fulfilment. Born from Rohlik Group's proprietary technology and operational excellence across five European markets, we are now a standalone technology company empowering grocers to transform their warehouse operations and scale their same day e-grocery offering. Our modular platform spans automated picking, e-commerce fulfilment, and last-mile logistics and is built to power online grocery profitably. Today, Rohlik Group serves 850,000+ customers across Europe using this technology. We have proven it works at scale. Now we are bringing it to the world. We’re only at the beginning of the journey. This is a chance to join a lean team and help build the operations engine, shape how we run and build the business, and scale a category-defining company from the ground up. You will have real ownership over your function, direct access to the CEO, and equity in a company at the beginning of a major growth curve. ROLE OVERVIEW You will own Veloq's commercial motion in United States. This is both a senior hunter role and a true people leadership role: you will lead the commercial function, manage the team, and build the next layer of sales capability as the business scales. You will lead consultative technical sales of bespoke warehouse automation and software solutions, working closely with operations, IT, finance, and commercial stakeholders to shape customer-specific outcomes. You will develop and close high-value enterprise relationships, refine the sales playbook, and shape how Veloq sells to grocers and logistics operators in Europe. We already have a clear ICP and an active set of target accounts in the pipeline. Your job is to take that foundation, deepen the pipeline, close the first major accounts, and build the next wave of enterprise revenue. You report directly to the CEO and will influence pricing, positioning, and commercial terms from day one. WHAT WE EXPECT FROM YOU 1. REVENUE & PIPELINE - Own the US revenue target for Veloq's warehouse automation SaaS — including closing the first enterprise account(s) and building the FY27 pipeline. - Progress and expand an existing set of qualified target accounts already in motion, while adding new enterprise opportunities in EMEA. - Build a qualified pipeline of enterprise accounts with a minimum 3:1 pipeline coverage ratio maintained at all times. - Develop a repeatable, scalable sales motion that can be handed off to future hires as the business grows. 2. SALES MOTION & PLAYBOOK - Refine the US ICP: target verticals, buyer personas, account profiles, and deal stages. - Develop the sales narrative for each buyer persona — COO, VP Supply Chain, and CFO — anchored in warehouse economics, labour productivity, fulfilment cost per order, and same-day capability. - Translate complex technical capabilities into customer-specific value propositions, including tailored warehouse automation designs and implementation approaches. - Maintain deal discipline through consistent go-to-market engagement, account planning, proposal quality, and competitive positioning. 3. ENTERPRISE RELATIONSHIPS & EVENTS - Build and manage relationships with enterprise retail and 3PL decision-makers across Europe. - Represent Veloq at relevant grocery, supply chain, and logistics forums to build brand presence and pipeline. - Develop strategic accounts into multi-FC, multi-year contracts. 4. GTM & CROSS-FUNCTIONAL COLLABORATION - Work with the CEO on pricing strategy and major contract negotiations. - Collaborate with the Head of Partnerships on SI and co-sell opportunities. - Partner with product leadership on solution roadmap, competitive positioning, and market feedback — feeding buyer objections, competitive threats, and emerging trends back into the business. - Work cross-functionally with Operations, Legal, and Finance to ensure seamless handover from sale to implementation, reducing rework and improving customer satisfaction. 5. LEADERSHIP & TALENT DEVELOPMENT - Coach, develop, and elevate the performance of the commercial team; set high standards for sales culture, activity discipline, and customer engagement. - Build succession plans and hire high-potential talent as the function scales — bringing in the right people at the right time. - Implement and uphold a consistent sales operating rhythm: pipeline reviews, deal qualification, forecast calls, and win/loss debriefs. - Optimise deployment of pre-sales, solution design, and business development resources across the account base. WHAT WE ARE LOOKING FOR MUST HAVE - 10+ years in enterprise SaaS or supply chain / logistics technology sales, with at least 5 years in senior commercial or hunter roles. - Proven closer with a track record of hitting or exceeding quotas at or above €1M ARR. - Experience selling into retail, grocery, or logistics operations at C-suite or VP level, with a strong understanding of warehouse automation and e-grocery economics. - Proven people management experience, including coaching, performance management, and building a high-performing sales culture. - Consultative technical sales experience: the ability to sell bespoke solutions requiring discovery, solution design, and alignment across operational and technical stakeholders. - Hunter mentality: you build your own pipeline and thrive using CRM and AI tools to accelerate outbound sales motion - Comfortable with long, complex sales cycles (6–18 months) across multiple stakeholders including operations, IT, finance, and legal. NICE TO HAVE - Existing relationships with senior buyers at top US grocers or 3PLs. - Familiarity with CRM tools (Salesforce preferred) and pipeline forecasting disciplines. - Exposure to solution design, estimating, or pre-sales engineering teams. - Track record of building or formalising a sales playbook from scratch. #LI-ML1

Location: New York; Philadelphia; Newark; Boston; Group career pages Workplace: Hybrid COMPANY OVERVIEW Veloq is the software platform powering the next generation of grocery fulfilment. Born from Rohlik Group's proprietary technology and operational excellence across five European markets, we are now a standalone technology company empowering grocers to transform their warehouse operations and scale their same day e-grocery offering. Our modular platform spans automated picking, e-commerce fulfilment, and last-mile logistics and is built to power online grocery profitably. Today, Rohlik Group serves 850,000+ customers across Europe using this technology. We have proven it works at scale. Now we are bringing it to the world. We’re only at the beginning of the journey. This is a chance to join a lean team and help build the operations engine, shape how we run and build the business, and scale a category-defining company from the ground up. You will have real ownership over your function, direct access to the CEO, and equity in a company at the beginning of a major growth curve. ROLE OVERVIEW You will own Veloq's commercial motion in United States. This is both a senior hunter role and a true people leadership role: you will lead the commercial function, manage the team, and build the next layer of sales capability as the business scales. You will lead consultative technical sales of bespoke warehouse automation and software solutions, working closely with operations, IT, finance, and commercial stakeholders to shape customer-specific outcomes. You will develop and close high-value enterprise relationships, refine the sales playbook, and shape how Veloq sells to grocers and logistics operators in Europe. We already have a clear ICP and an active set of target accounts in the pipeline. Your job is to take that foundation, deepen the pipeline, close the first major accounts, and build the next wave of enterprise revenue. You report directly to the CEO and will influence pricing, positioning, and commercial terms from day one. WHAT WE EXPECT FROM YOU 1. REVENUE & PIPELINE - Own the US revenue target for Veloq's warehouse automation SaaS — including closing the first enterprise account(s) and building the FY27 pipeline. - Progress and expand an existing set of qualified target accounts already in motion, while adding new enterprise opportunities in EMEA. - Build a qualified pipeline of enterprise accounts with a minimum 3:1 pipeline coverage ratio maintained at all times. - Develop a repeatable, scalable sales motion that can be handed off to future hires as the business grows. 2. SALES MOTION & PLAYBOOK - Refine the US ICP: target verticals, buyer personas, account profiles, and deal stages. - Develop the sales narrative for each buyer persona — COO, VP Supply Chain, and CFO — anchored in warehouse economics, labour productivity, fulfilment cost per order, and same-day capability. - Translate complex technical capabilities into customer-specific value propositions, including tailored warehouse automation designs and implementation approaches. - Maintain deal discipline through consistent go-to-market engagement, account planning, proposal quality, and competitive positioning. 3. ENTERPRISE RELATIONSHIPS & EVENTS - Build and manage relationships with enterprise retail and 3PL decision-makers across Europe. - Represent Veloq at relevant grocery, supply chain, and logistics forums to build brand presence and pipeline. - Develop strategic accounts into multi-FC, multi-year contracts. 4. GTM & CROSS-FUNCTIONAL COLLABORATION - Work with the CEO on pricing strategy and major contract negotiations. - Collaborate with the Head of Partnerships on SI and co-sell opportunities. - Partner with product leadership on solution roadmap, competitive positioning, and market feedback — feeding buyer objections, competitive threats, and emerging trends back into the business. - Work cross-functionally with Operations, Legal, and Finance to ensure seamless handover from sale to implementation, reducing rework and improving customer satisfaction. 5. LEADERSHIP & TALENT DEVELOPMENT - Coach, develop, and elevate the performance of the commercial team; set high standards for sales culture, activity discipline, and customer engagement. - Build succession plans and hire high-potential talent as the function scales — bringing in the right people at the right time. - Implement and uphold a consistent sales operating rhythm: pipeline reviews, deal qualification, forecast calls, and win/loss debriefs. - Optimise deployment of pre-sales, solution design, and business development resources across the account base. WHAT WE ARE LOOKING FOR MUST HAVE - 10+ years in enterprise SaaS or supply chain / logistics technology sales, with at least 5 years in senior commercial or hunter roles. - Proven closer with a track record of hitting or exceeding quotas at or above €1M ARR. - Experience selling into retail, grocery, or logistics operations at C-suite or VP level, with a strong understanding of warehouse automation and e-grocery economics. - Proven people management experience, including coaching, performance management, and building a high-performing sales culture. - Consultative technical sales experience: the ability to sell bespoke solutions requiring discovery, solution design, and alignment across operational and technical stakeholders. - Hunter mentality: you build your own pipeline and thrive using CRM and AI tools to accelerate outbound sales motion - Comfortable with long, complex sales cycles (6–18 months) across multiple stakeholders including operations, IT, finance, and legal. NICE TO HAVE - Existing relationships with senior buyers at top US grocers or 3PLs. - Familiarity with CRM tools (Salesforce preferred) and pipeline forecasting disciplines. - Exposure to solution design, estimating, or pre-sales engineering teams. - Track record of building or formalising a sales playbook from scratch. #Veloq #LI-ML1

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role: The Senior DevOps Engineer will be responsible for the design, building, and maintenance of the infrastructure of our cloud platform. This role involves tackling challenging, large-scale infrastructure projects, with a focus on ensuring organizational reliability, scalability, security, and adherence to best practices. Main Roles and Responsibilities: You will directly influence our platform's scalability to support growth and R&D efficiency Own Infrastructure projects end-to-end, from research and design to implementation and rollout. Lead Infrastructure improvements around high availability, resiliency, performance and cost efficiency. Evaluate and implement new technologies that upgrade our infra posture. Collaborate with other engineers to define standards, patterns and platform roadmap. Serve as a technical expert in infrastructure decisions and a driver of engineering excellence. Job Requirements: At least 7+ years of hands-on experience in DevOps in large-scale infrastructure companies. Passion for elegant and effective technological solutions. Independent learning capability and curiosity without boundaries. Strong analytical and problem-solving skills. Proven ability to lead complex technical projects independently. Technical requirements: Advanced experience with Kubernetes and container orchestration. Strong proficiency with IaC Frameworks such as Terraform and Terragrunt, CDK Solid hands-on experience with AWS services. Strong understanding of network fundamentals. Experience with GitOps tools (ArgoCD) Experience with advanced CI/CD pipelines Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Bolzano, Italy; Rome, Italy; Budapest, Hungary; Miskolc, Hungary; Petten, Netherlands; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Bratislava, Slovakia; Bucharest, Romania; Bucuresti, Romania; Ljubljana, Slovenia; Vilnius, Lithuania; Nicosia, Cyprus; Pilsen, Czechia; Podgorica, Montenegro; Praha, Czechia; Banská Bystrica, Slovakia; Sofia, Bulgaria; Zagreb, Croatia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a dedicated Lead AI Aplication Engineer to join one of our clients' teams . If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Key Responsibilities: Build & Run the Shared AI Platform Architect and maintain a multi-tenant AI Platform that supports the full ML lifecycle across cloud and on-premises environments. Ensure high availability, low latency, and cost-efficiency for all shared AI resources. Implement LLMOps/MLOps best practices, including automated deployment pipelines for models. 2. Curate the AI Services Catalogue Develop and expose "as-a-service" capabilities: Inference-as-a-Service, Embeddings-as-a-Service, and RAG-as-a-Service. Standardize how squads interact with LLMs, providing unified APIs and abstraction layers to prevent vendor lock-in. 3. Manage AI Data Infrastructure Own the deployment and scaling of Vector Databases (e.g., Pinecone, Milvus, Weaviate) and Feature Stores (e.g., Feast, Tecton, Hopsworks). Optimize data retrieval patterns to support real-time AI applications and agentic workflows. Oversee Model Hosting environments, utilizing Kubernetes (K8s) and GPU orchestration to manage compute resources efficiently. 4. Enable Developer Self-Service Build and maintain a Self-Service Portal or CLI that allows product squads to provision AI environments, models, and data stores independently. Reduce "Time-to-Inference" for new features by providing pre-configured templates and blueprints. Conduct internal workshops and provide documentation to empower squads to use the platform effectively. Must-Have Technical Skills Infrastructure: Deep experience with Kubernetes (K8s), Docker, and Terraform/Pulumi. Hybrid Cloud: Proven experience managing workloads across AWS/Azure/GCP and On-Premises (NVIDIA AI Enterprise, OpenShift). AI/ML Tooling: Hands-on experience with vLLM, TGI (Text Generation Inference), or NVIDIA Triton for model serving. Databases: Expertise in Vector DBs and traditional SQL/NoSQL databases. Languages: High proficiency in Python and Go or Rust for platform tooling. Experience 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE). 2+ years specifically focused on building AI/ML infrastructure or platforms. Experience building Internal Developer Platforms (IDP) is a massive plus.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity This is not a traditional GRC hire. The Tech G overnance Office is looking for someone who combines the governance judgment of a seasoned compliance professional with the drive of a forward-deployed engineer — someone who closes gaps by shipping solutions, navigates ambiguity without hand-holding, and operates with the urgency of a startup and the rigour of a regulated financial institution. You will own complex cross-functional workstreams independently — coordinating across Engineering, Legal, Product, and Finance — while managing external auditors and regulators. Strong written and verbal communication in both English and Mandarin is a meaningful advantage in this role. AI tooling is not optional; it is how you work. Who You Are Self-directed driver — You run cross-functional workstreams without being managed. Ambiguity is a starting point, not a blocker. AI-native operator — You already use AI to do more, faster — and you raise the floor for the teams around you. Clear communicator — You earn trust across regulators, auditors, and C-suite through precision and consistency — in any room. Culture Fit Pace Standards Startup velocity — Decisions move fast. Priorities shift. You ship, iterate, and adapt — without waiting for perfect conditions or top-down direction. Financial institution rigour — Audit trails matter. Regulators scrutinise. The bar for accuracy, documentation, and accountability is institutional-grade — always. > The tension between these two is not a bug — it is the job. We are looking for someone who holds both without compromise. What You’ll Be Doing Independently lead audit remediation programmes — assess gaps, develop structured plans, and drive verified closure across engineering, product, legal, and operations without escalation dependency. Own cross-functional governance workstreams — set milestones, coordinate accountability, and remove blockers across departments with limited management oversight. Conduct IT security and architecture governance reviews — assess whether systems and processes meet applicable standards, and issue findings with clear ownership and remediation timelines. Build and maintain the policy estate — draft, refine, and operationalise IT governance policies and procedures; translate regulatory requirements into implementation-ready guidance for first-line teams. Lead regulator and auditor engagement — serve as the primary coordination interface for external audit and regulatory correspondence, representing the Tech G overnance Office with credibility and precision. Deploy AI to accelerate compliance operations — prototype and scale AI-assisted workflows for evidence collection, control monitoring, audit response, and policy generation; drive team-wide adoption. Deliver Tech G overnance -level reporting — produce governance dashboards and executive briefs on remediation status, risk exposure, and regulatory posture, independently and to publication standard. Track the regulatory horizon — monitor evolving requirements across active jurisdictions, translate changes into prioritised internal action, and brief senior leadership proactively. What We Look For In You AI Adoption & Application — Must Have Active daily use of AI tools to accelerate compliance and governance work — demonstrated practice with measurable output impact, not theoretical awareness. Ability to identify, build, and scale AI-assisted workflows within a Tech G overnance office context — evidence automation, policy generation, audit response, or control monitoring. Working knowledge of AI governance and risk — sufficient to contribute to internal AI oversight frameworks and assess AI-related compliance obligations. Independent Cross-Functional Leadership — Must Have Demonstrated ability to own and drive complex, multi-stakeholder workstreams independently — setting direction, coordinating accountability, and delivering outcomes without management escalation. Track record of influencing without authority across engineering, legal, finance, and operations in a fast-moving environment. Comfortable operating under ambiguity and shifting priorities while maintaining institutional-grade standards for accuracy and documentation. Experience 8+ years in IT audit, risk management, compliance, or security governance 3+ years leading governance programmes at a large-scale internet, financial services, or crypto firm Exposure to IPO-readiness or high-scrutiny regulatory examination programmes preferred Frameworks & Standards ISO 27001, SOC 1/2, PCI-DSS, COBIT, NIST — deep working knowledge GDPR and APAC data protection regimes Crypto and blockchain-specific compliance risk awareness a strong asset Engineering Sensibility Able to read and interpret code, architecture diagrams, and technical design documents without engineer-translation dependency Familiarity with cloud environments (Alibaba Cloud, AWS, GCP) and associated security tooling Communication Executive-level written and verbal communication in English — board-ready governance briefs, regulator responses, and Tech G overnance -level reporting produced independently Proficiency in Mandarin (written and verbal) is a strong advantage for APAC regulatory and stakeholder engagement Preferred Qualifications Professional security or governance certification: CISA · CISSP · CRISC · CISM · CCISO · Agentic AI Experience building AI-powered compliance tooling — audit automation, continuous control monitoring, or policy-to-control mapping Prior involvement in SOX ITGC, SEC Reg S-K Item 106, or equivalent listing-authority tech governance programmes Crypto-native compliance exposure — Proof of Reserves, SAB 121, Travel Rule, AML/CFT programme governance Active regulatory footprint across MAS, VARA, FCA, HKMA/SFC, or equivalent Why This Role OKX operates across 50+ jurisdictions with live regulatory programmes. The Tech G overnance Office is building infrastructure-grade compliance capability — not checkbox compliance. This is a rare opportunity to shape how that work gets done: independently, at pace, and with AI at the centre of the method. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Al Khobar, Saudi Arabia The Project Manager’s role is essential in ensuring the successful delivery of projects. The role holder will lead the implementation of small to large projects and collaborate with cross-functional teams and a range of internal and external stakeholders. This role will deploy the full range of the department’s tools and processes to ensure the successful design and deployment and delivery of all assigned projects throughout their full lifecycles with a strong focus on achieving the intended benefits and operational performance goals. General Responsibilities Manage and execute projects under the guidance of the Senior Project Manager and the Project Delivery Lead Management to ensure they are delivered on time, within budget, and in accordance with predefined and agreed objectives and quality standards. Develop and maintain comprehensive project schedules, and budgets. Continuously monitor project progress, identifying and addressing issues, risks and changes as they arise. Work with the Director Project Delivery Lead Management to define project milestones/objectives and deliverables for projects and establish a framework for monitoring and reporting project performance. Collaborate with project team members to identify and implement improvement strategies that enhance project delivery efficiency and effectiveness and mitigate issues and risks. Work closely with various departments within the Centre of Excellence (COE) to ensure seamless coordination and alignment of project activities with overall business objectives. Foster effective communication and collaboration among project team members and stakeholders to ensure everyone is aligned with project goals, objectives and the status of all assigned projects. Implement and uphold rigorous quality assurance processes to ensure that projects meet or exceed quality standards and customer expectations. Conduct regular project audits to verify adherence to established quality guidelines and identify areas for improvement. Identify potential project issues, risks, changes and collaborate within the Project Delivery Teams to develop contingency and mitigation plans to proactively address challenges that may impact project delivery. Allocate and manage project resources efficiently, including personnel, budget, and equipment, to optimize project delivery and ensure the efficient utilization of resources. Maintain comprehensive project documentation, including project plans, progress reports, all project logs and documentation of lessons learned, in line with organizational standards. Provide regular updates and reports on project status to the Director Project Delivery Lead Management, Chief Operational Excellence Officer, and relevant stakeholders. Recommend training and development interventions for team members to build their capabilities. Contribute to the identification of opportunities for the continuous improvement of systems, processes, and practices to increase productivity and operational efficiency. Implement all relevant Department’s policies, processes, procedures, and instructions so that work is carried out in a controlled and consistent manner. Contribute to the preparation of timely and accurate reports to meet departmental requirements, policies, and standards. Requirements Qualification Bachelor’s degree in Project Management, Engineering, Business Administration, or equivalent from a recognized and accredited university is required. Master’s degree in Project Management, Engineering, Business Administration, or equivalent from a recognized and accredited university is preferred. PMP or Prince2 certification is required. Demonstrated proficiency in oral and written business English. 7+ years of experience in project management or a related field preferably into Supplychain industries, including planning, execution, delivery, and reporting. Proven experience in project management, including planning, execution, delivery, reporting and effective communication. Experience working with leadership and senior stakeholders and coordinating across internal cross-functional teams. Experience with any one of PMP-style project controls, Prince2, risk and change management, or structured reporting and governance. Broader experience across PMP-style project controls, Prince2, risk and change management, and structured reporting and governance is preferred. Experience in logistics and supply chain projects is preferred.

Location: Germany Workplace: OnSite ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. We're looking for an experienced, driven Senior Enterprise Account Executive to drive ElevenLabs' growth across German's largest enterprises. Our ideal candidate has a well-established network and a proven track record of selling to C-level and senior decision-makers at major German organizations - and is passionate about the transformative possibilities of AI voice technology. In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents - our end-to-end platform for building and deploying AI voice agents - to reimagine their customer experience, internal workflows, and monetization strategies. In this role you will: 1. Build and manage a growing portfolio of enterprise accounts across Germany - with a focus on Financial Services & Insurance, Telecommunications, Healthcare, and Utilities - to help ElevenLabs meet its revenue goals. 2. Identify new business opportunities where ElevenLabs' conversational AI capabilities - including ElevenAgents - can drive customer engagement, contact center automation, and operational efficiency. 3. Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers. 4. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends - particularly as they apply to regulated German industries 5. Demonstrate expertise - or a strong willingness to learn - about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants 6. Develop and execute account strategies to expand ElevenLabs' presence within key enterprise verticals, navigating complex procurement and organizational structures. 7. Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts. 8. Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents. Requirements - 7+ years of quota‑carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API‑driven platforms. - Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement. - Well-connected in the German enterprise landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C‑suite and board level. - Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value. - Deep understanding of enterprise procurement and legal processes in Germany, with the ability to accelerate deal velocity within complex organizational structures - Comfort operating in an early‑stage, high‑growth environment, including building new playbooks and iterating quickly. - Passion for voice and audio AI and how it can unlock transformative value for customers. - A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale - Fluent German, C1/C2 level or business German and English Location This role is remote-first, so it can be executed from anywhere in Germany with the ability to travel to client sites when required. #LI-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We’re looking for a Site Reliability Engineer to help build and run the fundamental part of Nebius - the Network - the infrastructure everything else depends on. This is an engineering-first SRE role: you’ll set clear reliability targets, build the tooling and automation to meet them, and make the network safer to operate as we scale quickly. Your responsibilities will include: Define and own reliability goals for network services and critical paths (SLIs/SLOs, availability targets, error budgets where it makes sense) Drive reliability improvements across the whole network: not only services, but also site readiness, inter-site connectivity (DCI), and operational standards Own incident response for your areas, lead investigations/postmortems, and turn failures into durable fixes (not repeated firefighting) Build and evolve observability: actionable metrics/logs/traces, alerting, and faster debug loops during and after incidents Design safer change workflows: automation, CI/CD, test/staging environments, canarying, rollbacks, and auditability for network changes Work closely with network engineers and platform teams to embed operability into designs and keep operations practical and fast We expect you to have: Strong production Linux fundamentals and a structured approach to debugging complex systems Solid understanding of networking basics and how real networks fail (control plane vs data plane, latency/loss, failure domains, etc.) Hands-on experience operating high-availability systems and improving them over time (not just “keeping lights on”) Ability to write and maintain software/automation (Go is common for us; Python is also welcome) Experience with modern infrastructure tooling (e.g., IaC, CI/CD, container platforms) and comfort automating operational workflows It will be an added bonus if you have: Experience with high-throughput traffic processing: load balancers, tunneling/decap, NAT64, or similar datapath-heavy systems Low-level networking performance/debug background (eBPF/XDP, DPDK, perf/ftrace, kernel networking internals) Experience building network-safe delivery pipelines (testing labs, staged rollouts, automated verification, drift detection) Background with large-scale network observability/telemetry (e.g., routing/flow telemetry, regression detection at scale) 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: United States Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Job Summary Filevine is seeking a Technical Program Manager to lead cross-functional delivery of LOIS, our Legal Operating Intelligence System. In this role, you will own the end-to-end coordination of a large, geographically distributed program spanning engineering, product, design, machine learning, data science, and operations and ensure that complex, multi-team initiatives move from concept to customer with clarity and momentum. This is a foundational role with significant organizational impact, establishing and maintaining the program infrastructure, processes, and visibility mechanisms that allow a large and growing team to execute with speed and confidence. Responsibilities Own the master program plan for LOIS feature development, maintaining a transparent, grounded, continuously updated view of timelines, milestones, and cross-team dependencies that will be used across the organization Proactively identify, track, and resolve blockers and dependency risks across engineering, product, design, ML research, data science, SRE, and operations, working independently and in concert with senior product and engineering leadership Establish and evolve lightweight coordination and delivery infrastructure, including rituals, tooling conventions in Linear, and communication norms, that cultivate strong cross-team alignment Serve as the key connection between the core LOIS development teams and supporting stakeholder functions (QA, operations, etc.), ensuring timely engagement to enable smooth, rapid feature delivery Absorb and manage the impact of unexpected changes, delays, and discoveries during development by updating forecasts, communicating tradeoffs, maintaining coordination without losing delivery momentum Partner closely with product and engineering leadership on release planning, ensuring that program structure reflects and supports strategic priorities Build and maintain a culture of transparency and accountability across the program, ensuring that status is honest, risks are surfaced early, and teams have what they need to do their best work Qualifications 7+ years of technical program management or equivalent experience delivering complex software across multiple geographically distributed teams in different disciplines Demonstrated ability to hold a large, multi-workstream program together under ambiguity: crafting plans, maintaining them under pressure, and communicating status credibly to both technical and executive audiences Deep familiarity with software engineering practice at a working level. Strong candidates should be comfortable in conversations about system architecture, APIs, infrastructure, and technical tradeoffs Proven track record of building coordination processes and infrastructure in environments where they did not previously exist, showing good judgment about deploying formal vs lightweight methods Strong experience with modern project and issue-tracking tooling (Linear, Jira, or equivalent), and critically the use of these tools to make dependencies and progress visible across a large base of contributors and stakeholders Experience working on products that incorporate ML or LLM-based components is a meaningful plus, particularly where model behavior, data pipelines, and research cycles intersected with product delivery timelines Strong communication and stakeholder management skills, with the ability to earn trust and influence outcomes across engineering, product, research, and operations without formal authority over any of them Compensation Information: $130, 000 - 180,000     The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. Other rewards may include commissions, stock options, a paid time off policy, as well as a comprehensive benefits package, including medical, dental, and vision. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors. This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: - Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. - Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. - Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination. - Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. - Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. - Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. - Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. - Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access. Qualifications: - Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations. - Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows. - Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments. - Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering. - Passion for staying updated with the latest developments in AI and applying them to real-world problems, particularly in the realm of agent technologies. - Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance. - Experience with search technologies and their integration into AI systems. - Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.   #LI-REMOTE #LI-AK2 #LI-CC1 Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors. This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: - Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. - Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. - Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination. - Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. - Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. - Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. - Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. - Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access. Qualifications: - Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations. - Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows. - Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments. - Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering. - Passion for staying updated with the latest developments in AI and applying them to real-world problems, particularly in the realm of agent technologies. - Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance. - Experience with search technologies and their integration into AI systems. - Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.   #LI-REMOTE #LI-AK2 #LI-CC1 Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Hybrid / Berlin Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence. Role You'll own the layer everything else runs on: bare-metal servers, operating systems, data-center networking, and storage across on-prem and fully air-gapped sites — the physical and infrastructure foundation our platform and GPU fleets are built on. You design, build, and operate server fleets with a strong automation and DevOps mindset, then partner with our SRE, MLOps, and ML teams to ensure everything running above the metal — including GPU inference — performs reliably at scale. Some of this work is hands-on at customer sites, where you size, rack, and commission self-contained server environments with no internet uplink. We weight depth in modern data-center infrastructure, networking, and automation more heavily than GPU-specific experience. A strong infrastructure and network engineer with a genuine automation mindset — even without prior GPU exposure — is a better fit for this role than a candidate with GPU expertise whose networking background is rooted in legacy, corporate-style L2 designs. What you'll do Design, size, provision, and operate bare-metal server fleets across on-prem and air-gapped environments (firmware/BIOS/UEFI, BMC via Redfish/IPMI, OS, RAID, kernel and storage tuning) using zero-touch provisioning (PXE/iPXE, MAAS/Metal3/Tinkerbell/Ironic) and automation (Ansible, Terraform, or equivalent — the tooling matters less than the automation mindset). Build and run modern data-center networking: L2/L3 design, IP Fabric, BGP and switching, and RDMA fabrics (RoCE/InfiniBand) sized to scale without ripping out the core. Engineer resilient, highly available storage (Ceph/Rook, NVMe) with capacity planning and encryption at rest. Operate confidently in air-gapped and on-prem environments: offline mirrors and registries, signed artifacts, firmware/driver lifecycle without internet access, and system hardening. Support MLOps and inference-serving fundamentals — GPU model serving (Triton/KServe/vLLM), GPU scheduling and sharing, and throughput/latency optimization — in partnership with our SRE and ML teams. Plan and run on-site build-outs: rack integration, power budgets, thermal/cooling and UPS sizing, commissioning, capacity planning, runbooks, and operator handover, with SWaP awareness for field sites. About You 5+ years in bare-metal, data-center, or systems infrastructure engineering, with hands-on ownership of physical and compute infrastructure at scale. Strong bare-metal Linux (Ubuntu, RKE2, Talos, or similar): provisioning, firmware/BMC management, PXE/iPXE, kernel and storage tuning, systemd, RAID. Real experience with infrastructure automation (Ansible, Terraform, or equivalent), Git and CI/CD, and scripting in Python, Bash, or Go. Solid, current data-center networking fundamentals: L2/L3, IP Fabric, BGP, and switching — this is a hard requirement, not a nice-to-have. RDMA (RoCE/InfiniBand) experience is a strong plus. Comfortable operating in air-gapped or on-prem environments and traveling to customer sites for builds and deployments. Practical hardware sizing literacy: power budgets, thermal/cooling, UPS sizing, and rack integration. Documentation-focused, methodical, and calm during hardware incidents. Eligible to work in Germany. Nice‑to‑haves German language (B1+); exposure to regulated or security-critical environments (e.g. BSI C5, ISO 27001, or defense-sector delivery) is a plus. NVIDIA GPU stack knowledge (drivers, CUDA, GPU Operator, MIG, DCGM) and cross-node GPU interconnect experience (NVLink, InfiniBand, NCCL). Kubernetes bare-metal fundamentals — how cluster bring-up and GPU device plugins interact with the underlying hardware, not day-to-day cluster operation. Inference optimization (vLLM, TensorRT-LLM, quantization) and familiarity with switch NOS (SONiC/Cumulus). Relevant certifications (NVIDIA, Red Hat, CKA/CKS) or field/forward-deployed engineering experience. What we offer Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. Flexibility by default: Flexible working hours help you make work fit your life. Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you. 30 days of vacation: Take the time you need to recharge and come back with fresh energy. Keep growing: We invest in your personal and professional development. Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results. A warm welcome: Every new team member gets a welcome goodie bag. Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together. A mission that matters: Work on challenges with tangible impact on public safety and national security.

Location: Amsterdam, Netherlands; Remote - Europe 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: Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping the research and products that define where the field is going next. We are building the AI cloud that the people building the frontier of AI choose deliberately — not on price, not on raw capacity, but on how it works to use it day to day. To do that, we are growing the AI Compute Platform product team and hiring multiple Technical Product Managers across the full surface of the platform. Your scope will be defined by what you bring. We will match your technical strengths, customer experience, and product instincts to the area of the platform where you can have the most impact. The platform is broad — and at our scale, every slice is mission-critical. If you want to help build the best AI cloud in the world — and you have the technical depth to engage engineering leaders as a peer (not as a translator) and the comfort to talk to customers directly — this team is for you. The platform you'll help build: Hardware platforms & launch — bringing new GPU and CPU platforms (GB300, Vera Rubin, ARM/Grace, future generations) to production with full launch readiness across the stack. Cluster lifecycle & fleet operations — new region launches, 100,000+ GPU cluster bring-up, platform sharding and allocation architecture, release engineering, host-lifecycle automation, operational efficiency. Reliability & Mission Control — autohealing, health checks, SLA, fault-tolerant training, MTTR reduction, customer trust at scale, observability as a product. Customer experience & developer surface — Compute APIs, console, CLI, IMDS and in-VM signals, self-service workflows, notifications, customer-facing observability, unified UX across the product line. GPU & InfiniBand foundational services — drivers, firmware, NCCL, IB/RoCE, NVLink topology, the foundational layer everything else builds on. Managed runtime platforms — Soperator (Slurm-on-Kubernetes) and MK8S (Managed Kubernetes for AI workloads), powering training and inference for frontier labs. Platform integrations & emerging workloads — Token Factory integration, RL and agentic workload infrastructure, capacity sharing, new business surfaces as they emerge. Cross-platform program & delivery — NVIDIA partnership programs, major-maintenance orchestration, cross-stream releases. You will own one of the slices of this platform end-to-end — from strategy and roadmap through delivery, adoption, and measurable outcomes. Your responsibilities will include (regardless of which slice you own): Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes. Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior — at hyperscaler quality. Drive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design. Turn customer pain into product commitments through structured discovery — interviews, usage analytics, support patterns, incident postmortems. Close the loop so the same class of failure or friction does not recur. Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge the quality of platform internals, and push back when the design is wrong. Define and own success metrics — what you ship is measured by what changed for the customer or the platform, not by the size of the spec. Be the product voice that customer-facing teams (Support, CX, TAMs) escalate to when a system behavior, API contract, or operational pattern needs a product decision, not a workaround. We expect you to have: 6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead with strong product instincts. Strong technical foundation and cloud-infrastructure depth — comfort reasoning about API semantics, control-plane vs data-plane behavior, system events and lifecycle, multi-tenant operational realities. You can engage engineering leaders as a peer, not as a translator. Experience with cloud, GPU, or HPC infrastructure — either building one or operating one at meaningful scale (thousands of nodes, multi-region, multi-tenant). Track record of shipping technically complex platform products with measurable customer or platform impact — quantitative results, not aspirational bullets. Strong analytical skills: comfort defining and instrumenting product metrics, working with telemetry, building data-informed roadmaps. Experience leading discovery-heavy work — structured customer interviews, usage analytics, support-ticket analysis — and turning insights into shipped product. Strong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders. High ownership, bias to ship, comfort with messy operational reality, and the instinct to push back on engineering when the customer experience or platform quality would suffer. It will be an added bonus if you have (these are not all required — different strengths fit different slices of the platform): Customer-facing experience and lived-it perspective: Direct PM experience with frontier AI customers — ML platform teams, MLOps engineers, training and inference at scale. Familiarity with Kubernetes, Slurm, or HPC environments from the user side, and ML training workflows. Hands-on experience with ML training and inference workflows — especially distributed training at scale (multi-node, multi-GPU; comfort with checkpointing, NCCL, fault-tolerant training, debugging large training jobs). Experience as a customer of AI cloud infrastructure at large scale — especially as part of an internal ML platform team that built and operated infrastructure for ML engineers inside your own company. If you have lived through what frustrates customers about clouds, you will know exactly what we are trying to fix. Hardware, GPU, and HPC depth: Direct experience with NVIDIA reference architectures (NVL72, SuperPOD, MGX, DGX) and the NVIDIA stack (drivers, CUDA, NCCL, DCGM). Familiarity with InfiniBand / RoCE fabrics, firmware lifecycle, topology-aware scheduling. Hands-on with GPU clusters or HPC fabrics at thousands-of-nodes scale. Cluster and fleet operations: Background in Kubernetes lifecycle (CAPI, cluster upgrades, node-pool management) or Slurm at scale. Experience launching new cloud regions or data-center bring-ups end-to-end. Background in release engineering, change management, or major-maintenance orchestration in production environments. Customer experience and developer surface: Exposure to console / CLI / API design at hyperscaler quality — AWS, GCP, Azure depth on consistency, versioning, idempotency, error semantics, deprecation policy. Background in observability product — Grafana, Datadog, Honeycomb, New Relic. Knowledge of customer trust artefacts — status pages, RCA workflows, audit logs, SLA reporting, maintenance notifications. Familiarity with developer-experience product patterns — Stripe, Cloudflare, Vercel, Supabase, Render. Reliability and operational outcomes: Background in SRE, reliability engineering, or fault-tolerant systems for paying customers. Familiarity with reliability metrics that matter: Goodput, MFU, MTTR, MTBF. Experience with autohealing systems and graceful failure semantics. Emerging workloads and integrations: Familiarity with RL / agentic / inference workload patterns — vLLM, SGLang, Ray, Token Factory-style serving, sandbox technologies (Firecracker, gVisor, Kata). Experience with multi-product cloud integrations — capacity sharing, billing models, cross-product packaging. Background in pricing strategy for infrastructure products (reserved / on-demand / preemptible tiers, two-part pricing). 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: Amsterdam, Netherlands 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 looking for a Senior Backend Software Engineer to join our Observability Platform team in Amsterdam or remotely. Building a reliable and profitable cloud platform is impossible without world-class observability. It spans every layer of the stack — from developer tooling and CI/CD pipelines to Kubernetes, managed services, databases, networking, and customer workloads. Our mission is to provide a unified ecosystem for logs, metrics, traces, alerting, and troubleshooting that enables engineers to understand and operate systems at scale. You will build and scale the core services behind this platform, working on high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and new ways to help engineers make sense of operational data, including AI-assisted troubleshooting. We expect you to have: 5+ years of professional software engineering experience Strong knowledge of Golang or willingness to quickly switch to it Experience building distributed backend systems Solid understanding of software reliability, scalability, and performance Ability to troubleshoot complex production issues Teamwork-oriented approach and strong communication skills It would be an added bonus if you had: Experience building or contributing to observability platforms, telemetry systems, or related open-source projects such as Prometheus, Grafana, Loki, Jaeger, OpenTelemetry, VictoriaMetrics, Mimir, Tempo, or similar technologies Experience using ClickHouse in production #LI-ET3 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.