Mission Brief

As a Recovery Operations Engineer in the Reusability Program, you define and mature the CONOPS for post‑flight recovery, refurbishment, and return‑to‑flight of reusable launch vehicle elements. You enable safe, repeatable, and cost‑efficient reuse by embedding recovery and refurbishment considerations into vehicle design, ground operations, and long‑term fleet operability from the outset. 

Your Role in Our Space Mission

• Define and evolve recovery Concept of Operations (CONOPS), covering primary recovery scenarios as well as fallback scenarios, from landing through return‑to‑flight
• Evaluate and down‑select launch sites, landing zones, and ranges with respect to recovery feasibility, safety, and operations
• Specify and assess recovery ground support equipment (GSE), including cranes, transport frames, barges, and port infrastructure
• Define refurbishment and recycle processes, including inspection flows, repair scope, turnaround timelines, and reuse limits
• Drive maintainability and operability requirements into vehicle and system design
• Support integration and payload processing concepts where recovery impacts launch‑site operations
• Contribute to fleet and lifecycle management strategies, including inspection intervals and retirement criteria
• Develop and maintain operational cost models, including recovery, refurbishment, infrastructure, and reuse cost functions, and support cost estimation and trade studies to inform architectural and program‑level decisions 

Qualification Checklist 

Education & Technical Background 

• Engineering education in aerospace, mechanical, civil, naval, industrial, or a closely related field, or equivalent senior industry experience 
• Technical background in launcher ground operations plus recovery and refurbishment concepts for reusable launch vehicle hardware 
• Proven knowledge of transport, handling, lifting, storage, inspection, and repair of large aerospace hardware and associated ground support equipment
• Proven knowledge of large‑scale logistics and ground infrastructure as primary drivers of operability, cost, and turnaround time in a reusable launch vehicle fleet 

Experience 

• 5–10+ years in launch vehicle programs, recovery programs, or large‑scale aerospace hardware projects
• Direct involvement in designing and evaluating end‑to‑end CONOPS, covering recovery logistics, ground support equipment, refurbishment, maintainability, and return‑to‑flight
• Practical work with large ground support equipment and infrastructure, including recovery assets, lifting systems, transport solutions, hazardous substances supply systems and launch-site or port environments
• Hands-on exposure to launch vehicle or aircraft refurbishment and post‑operation processing, including inspection strategies, repair scope definition, structural and systems assessments, and reuse or return‑to‑service considerations.
• Demonstrated ability to assess how recovery and ground operations concepts drive launcher architecture, interfaces, access requirements, and design margins
• Proven involvement in operational trade studies, addressing feasibility, cost drivers, turnaround time, and risk across alternative recovery and refurbishment approaches

Skills & Competencies 

• Ability to architect recovery and refurbishment CONOPS that are technically executable and scale with fleet growth 
• Strong judgement balancing launcher design, ground support equipment capability, logistics constraints, safety, cost, and schedule
• Deep practical knowledge of ground support equipment-driven constraints and their impact on recovery methods and launcher interfaces
• Clear command of maintainability and refurbishment drivers, including access, wear mechanisms, handling damage, and inspection effort
• Capability to challenge launcher and ground design decisions based on operational realism rather than theoretical optimization
• Structured decision‑making under uncertainty, grounded in experience with real hardware, infrastructure, and field operations
• Fluent in English (German is a plus) 

Benefits 

• Employee Participation Program: Share in our success through our virtual company share program
• 30 days of vacation: Enjoy the days off to relax and recharge
• Company pension plan: Secure your future with our company pension plan, featuring a 20% employer contribution after the probation period
• Subsidised lunch: Stay energised with delicious, subsidised lunches every day
• Public transport ticket: Commute with ease using a fully financed Deutschlandticket
• Sport Clubs membership: Stay fit with our sponsored sports club memberships (EGYM Wellpass)
• Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
• Childcare allowance: Receive a childcare allowance for your non-school-age children
• And Much More! Discover additional perks and benefits when you join our team        

Who we are

We are Isar Aerospace and we are at the forefront of New Space building a modern space business to enable faster, better and cheaper access to space.

Our mission is to help democratise space and use it for good in order to improve life on Earth now and for the future generations.

We are a fast-growing company aiming to provide sustainable and environmentally friendly launch solutions for small and medium-sized satellites and constellations into Low Earth Orbit. The company is privately funded by world-leading technology investors with strong commitment and support and our team is made of driven and talented people with a real passion for space innovation.

We're making rockets in a way that hasn't been done before disrupting a traditional industry. If you are up for the challenge, want to work on cutting-edge projects and be part of a team changing the world for better, come, join us and launch your career!

Want to find out more about us?

Visit www.isaraerospace.com

Data Protection

We process your personal data for the purpose of managing the recruitment process and assessing your application. For detailed information on how your data is processed, including your rights, please refer to our Privacy Policy.

Disclaimer

Isar Aerospace SE is an equal-opportunity employer committed to fairness and inclusivity. We do not prioritize any specific religion, gender, nationality, or background. Due to security clearance requirements, affiliations with countries listed under § 13 para. 1 no. 17 SÜG may affect the application process. All qualified applicants are encouraged to apply.

The position is based in Frankfurt, hybrid 3 days a week.   

The Sales Operations Manager is the primary resource for operational functions associated with driving revenue and margin for assigned accounts.  Key functions will include demand planning, inventory management, purchase order execution, POS & trend analysis, trade spend management and daily monitoring of overall business trends and operational performance.  The Sales Operations Manager plays an important role monitoring real-time business issues, interpreting data and suggesting immediate action plans to address issues or take advantage of opportunities.  The role will work with Shark/Ninja internal cross functional resources to ensure business issues are communicated and acted upon in a timely manner as well as with direct account contacts.     

Additional responsibilities include:   

• Become a leading resource on customer specific needs and requirements while providing timely communication to both the account and company ensuring you meet the needs and requirements of both.  

• Pull weekly business reporting documents identifying any call to action or highlights.  

• Coordinate and track sales performance to promotional expectations with sales analyst and help formulate a future shipment plan based on the results.  

• Work very closely with customer demand planning teams, sales director and sales analyst on all aspects of forecasting, inventory planning, orders, and supply chain management.  

• Input the forecast in our tool SFO and update Data Governance new additions and updated price lists to SFO.  

• Conduct weekly meetings with customers’ replenishment teams to review recent results and confirm changes affected positively and negatively to the sales.  

• Coordinate customers’ domestic/import orders with supply chain both in planning and availability dates  

• Partner with Account Manager team on trade spend management. Input confirmed promotional plans into forecasting system.  

• Partner with extended Target team to coordinate and build customer presentations, monthly business reviews, weekly flash reports and monthly consensus deck.  

• Quickly develop a working knowledge of the kitchen and floor care business from both a product and consumer basis for our product and our competitions  

• Provide monthly financial update and conduct a deep dive analysis into key operational/sales performance metrics.  

• Ad Hoc Analysis – Ability to quickly process situations and determine what information/data is required to generate actionable insight  

• Innate curiosity and desire to find creative solutions    

Your Profile:    

• Fluent in English and German  

• 5+ years of experience in demand planning/supply chain management or business analytics/financial role within the consumer products industry.  

• Ability to draw insights across multiple complex data sets and incorporate into decision making.  

• Ability to work in a collaborative team environment.  

• Past operational or sales experience with large retailers preferred.  

• Must have demonstrated strong analytical skills, attention to detail, and advanced proficiency in the Microsoft suite of products.  

• Strong communication, organization, project management and interpersonal skills.  

• Must be able to set priorities and juggle several tasks within a fast-paced, deadline driven environment with a positive attitude.  

Available Locations: London/Munich/Amsterdam/Paris

As a Solution Architect,  AI / Cloudflare Developer Platform and a member of the sales team you will help customers understand the technical details and business value proposition of the Cloudflare AI / Developer Platform and demonstrate the path and advantages of building applications with our products. 

In this role, you will serve as the Regional Lead for Cloudflare AI / Developer Platform sales. You will advise sales leadership on programs to grow Developer revenue and support strategic opportunities. You will collaborate closely with technical sales teams to design innovative solutions, develop proof of concept demonstrations, and showcase the technical capabilities of these designs to meet customer needs and expectations.

Serving as a trusted technical advisor you will help guide and enable clients, partners and teams within Cloudflare on product capabilities, positioning and competitive intelligence. You will form a tight feedback loop with product, product marketing, and technical pre-sales to refine and evolve our product. 

The ideal candidate possesses a consultative mindset, strong selling skills, along with a deep understanding of modern Web Technologies, Cloud Architecture , and the advantages of a Distributed Serverless Platform. No matter your background, you have natural curiosity and desire to solve problems, achieve goals, and design the most elegant and efficient solutions to address client needs.

What you'll do:

• You will partner with the sales organization to drive revenue, new customers and pipeline of AI and Developer Platform solutions. 
• Collaborate with cross-functional teams including product management, sales, and marketing to drive developer platform revenue and customer adoption
• Present to strategic customers as an expert of our Developer platform solutions
• Develop programs to drive the overall sales and pipeline strategy for the Cloudflare Developer Platform in partnership with regional and country sales leaders
• Align Director and C-Level perceived business and technical value with Cloudflare developer solutions
• Prepare and give regular business reviews to the management team highlighting attainment progress and challenges to closing business
• Generate a succinct feedback loop with cross-functional teams to deliver relevant Developer content, use cases, customer stories, and data driven value propositions. . 

In order to be successful, you will need to become a thought leader, trusted advisor, and spokesperson for the Cloudflare AI and Developer platform.

What you'll need:

• 3+ years of experience selling or supporting the technical sales of cloud computing and storage, full-stack Engineering, or Cloud Developer
• Technical expertise in cloud infrastructure, web technologies and AI/ML as a solutions engineer, entrepreneur, or solution architect.
• Knowledge and experience of Systems Design
  • You’ve built a web application, either professionally or as a hobbyist, and will be able to explain your design choices clearly during the interview process
  • Able to hear a clear, non-technical description of an Application (“It is a chat room, for our 150 most important users”) and quickly determine which Compute, Data, and Security components are needed to build this application
• Software development experience delivering full-stack applications, preferably using modern JavaScript frameworks and a variety of databases
• In-depth knowledge of at least one major public cloud provider (AWS, GCP, Azure, etc.)
• Have a good understanding of systems design theory and practice for distributed, full-stack applications (frontend, backend, databases, related services); ideally in a serverless paradigm
• Have a strong understanding of developer workflows (branching, release, versioning, CI/CD practices, system integrations)
• Act as an AI and Developer product expert, educating internal teams and external stakeholders on the value and capabilities of the Cloudflare Developer platform
• Knowledge of key market players/competitors in the cloud computing, AI and storage spaces
• 30% travel
• Fluency in both English and Hebrew

Other desirable skills areas include:

• You’ve built something on Cloudflare Workers
• AWS Solutions Architect or GCP Cloud Architect certifications
• Prioritize and manage the product roadmap, making strategic trade-offs to ensure the product meets customer needs and business goals
• Participate in product launch activities, including developing messaging and positioning, coordinating with marketing and sales teams
• Stay up-to-date with industry trends and advancements in cloud computing to inform product strategy and roadmap

We're looking for an experienced Senior Sales Engineer to join our Public Sector Sales Engineering team in Germany. Based anywhere in Germany and reporting to the Sales Engineering Manager, working in a remote environment your responsibilities include:

What you’ll do (Role Expectations)

• Operate as a true “two-in-a-box” team with the Account Executive (AE): jointly build and execute the account plan and customer engagement strategy (stakeholders, use cases, messaging, mutual action plan), ensuring tight alignment from discovery through close
• Lead high-impact customer engagements: run discovery, workshops, demos, and architecture sessions; translate requirements into secure Network Security & Cloud solution designs and clearly articulate measurable outcomes (risk reduction, compliance, efficiency)
• Drive technical win plans and proof points: create and execute the technical strategy for opportunities (incl. PoCs/pilots when needed), define success criteria, coordinate internal resources, and guide deals to clear customer-aligned decisions

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You champion simplicity. You are skilled at distilling complex problems, user needs, and technical concepts into clear, simple, and actionable plans. You are a precise communicator who brings clarity and focus to every interaction.
• You lead with integrity. You do the right thing, even when it’s hard. You hold yourself and others to a high standard of accountability and build trust by matching your words with consistent, transparent action.

What We’re Looking for (Minimum Qualifications)

• Senior Sales Engineering track record in the German Public Sector: proven ability to support complex deals end-to-end (discovery → solution design → business case → close), with measurable impact on pipeline and wins, plus a solid understanding of stakeholder dynamics and public procurement/tender processes (Federal/State/Municipal; experience in at least one segment required)
• Deep technical expertise in Network Security and Cloud, including architecture-level understanding, relevant security controls/use cases, and integration into customer environments
• Value- and outcome-oriented communication: able to translate technical topics into compelling customer value (risk reduction, compliance, efficiency, cost/benefit) and deliver executive-ready presentations/workshops/demos in German (English for internal collaboration)
• High learning agility: quickly ramps up on new topics (e.g., AI / AI security) and turns them into relevant use cases and clear customer-facing positioning
• Collaboration & professionalism: strong team player with high integrity and a consistently professional presence; effective cross-functional collaboration with Sales/CS/Product, including knowledge sharing and coaching

What Will Make You Stand Out (Preferred Qualifications)

• Public-sector security/compliance expertise: hands-on experience with German/EU requirements and frameworks (e.g., BSI IT-Grundschutz, C5, KRITIS/NIS2) and ability to map solutions to these controls in customer conversations
• Presales excellence at scale: demonstrated use of qualification/deal frameworks (e.g., Value Selling or MEDDICC), strong discovery methodology, and a track record of building repeatable assets (demo storylines, workshop formats, value calculators)
• Strong cloud and identity ecosystem exposure: experience across major cloud platforms (AWS/Azure/GCP) and identity/zero-trust building blocks (IdP, MFA, conditional access), including integrations and reference architectures

#LI-LS2 

#LI-Remote

The Role 

We are not looking for someone to moderate comments. We are looking for someone who lives on the For You Page, understands that a single reply in the right comment section can outperform a paid campaign, and treats community as the brand's most powerful asset. You will own community management across three distinct brands and audiences — Shark Home, Shark Beauty, and Ninja — with Instagram and TikTok as your primary stage. You will be part of the Social Media & Community team.

Responsibilities 

• Own the brand voice across comments, DMs, replies, and mentions for Shark Home, Shark Beauty, and Ninja — ensuring every interaction feels human, on-brand, and intentional 

• Engage proactively beyond owned channels — jump into trending conversations, comment on relevant creator content, and place our brands where culture is already happening 

• Inspire, surface, and amplify UGC — celebrate community content, encourage participation, and turn everyday customers into vocal brand advocates 

• Build genuine, ongoing relationships with superfans, power users, and repeat engagers across all three brand communities 

• Run ongoing social listening across brand communities, product categories, and cultural territories: food & cooking culture, home aesthetics, and haircare & beauty rituals 

• Monitor brand sentiment and competitor community health — flag risks early and identify opportunities to lean in 

• Identify micro-trends and emerging conversations weeks before they go mainstream, feeding those insights directly into content briefs and campaign planning 

• Develop and maintain distinct community tones for each brand and build response playbooks, tone-of-voice guides, and escalation protocols 

• Own real-time community activation during product launches, campaign moments, and cultural events 

• Track community KPIs including engagement rate, response time, sentiment score, UGC volume, and follower growth 

• Deliver monthly community reports with clear analysis, trends, and actionable recommendations for the wider team 

Your Profile 

• 2+ years of experience in community management or social media, brand-side or agency 

• Fluent in German and English — written and spoken 

• Deep, practitioner-level knowledge of Instagram and TikTok — algorithm, formats, culture, and community dynamics 

• Experience with social listening tools (e.g. Brandwatch, Talkwalker, Sprout Social) 

• Strong copywriting instinct — you can write a comment that earns thousands of likes 

• Proven track record of inspiring UGC and building genuine brand advocacy 

• Based in Frankfurt or willing to commute for regular in-office days 

Nice to Have 

• Background in a social-first agency environment 

• Experience with DACH consumer brands in home, beauty, or kitchen categories 

• On-camera confidence for community content moments 

• Familiarity with tools such as Dash Hudson, Emplifi, or Sprinklr 

Our Channels 

Community management spans the following Instagram profiles: 

• Shark Beauty: @sharkbeautyde 

• Shark Home: @shark.deutschland 

• Ninja: @ninja.deutschland 

The role

This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:

• applying reinforcement learning for agent training in long-context multi-turn scenarios
• dramatically scaling task data collection to power reinforcement learning for SWE agents
• building a decontaminated evaluation for SWE agents that is regularly updated
• investigating how test-time guided search can be used to build more powerful agents

The results often lead to collaboration with adjacent teams where our research findings are applied in practice.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• Guided search and reinforcement learning for agentic systems
• Reinforcement learning for reasoning models
• Web-scale problem collection for training agents
• Efficient model distillation

Some examples of what your responsibilities might include are:

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report

Nice to have:

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
• Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
• Open-source projects that showcase your engineering prowess
• Excellent command of the English language, alongside superior writing, articulation, and communication skills
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

The role

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

Token Factory is a part of Nebius Cloud, one of the world's largest GPU clouds, running tens of thousands of GPUs. We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.

Some directions we are currently working on, and which you can be a part of:

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
• Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
• Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and transformer architecture.
• Experience profiling GPU workloads using Nsight, PyTorch profiler, or similar tools
• Understanding of GPU memory hierarchy and compute/memory tradeoffs
• Familiarity with important ideas in LLM space, such as MHA, RoPE, KV-cache, Flash Attention, and quantisation
•  Understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)
•  Strong software engineering skills (we mostly use Python)
• Deep experience with modern deep learning frameworks
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing
• Strong communication and leadership abilities

Nice to have:

• Experience working with open-source inference engines (vLLM, SGLang, TensorRT-LLM), including contributions
• Experience with kernel languages or DSLs such as Triton, Cute, CUTLASS, CUDA
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess
•  Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

We are seeking an experienced Product Designer to join our team. You’ll have the opportunity to work from our offices in Amsterdam, Berlin, London or Prague with a hybrid work schedule.

• Own the end-to-end design of services and features within the Nebius Console, from discovery to delivery
• Design clear, scalable interfaces for complex cloud and AI infrastructure products
• Translate business goals, technical constraints, and user needs into coherent user flows and interaction models
• Work closely with Product Managers, Engineers, and other stakeholders throughout the product lifecycle
• Clearly present design solutions and rationale to cross-functional teams
• Manage design work from early hypotheses and exploration through prototyping, implementation, and iteration
• Contribute to the development and maintenance of the design system, ensuring consistency and quality across the product

• Strong product thinking and the ability to approach design as a set of connected user scenarios
• Ability to balance usability, consistency, and innovation in complex systems
• Solid understanding of the product design process, including discovery, validation, and delivery
• High attention to detail and structured, systematic work in Figma
• Experience collaborating with other designers in a shared product and design system environment
• At least 5 years of experience as a Product Designer on digital products
• Confident English communication skills, sufficient for day-to-day collaboration with international teams
• Strong proficiency in Figma, including creating complex and interactive prototypes

• Experience designing responsive and adaptive functional interfaces
• Familiarity with UX research and usability testing methods
• Experience with cloud consoles, dashboards, or other high-complexity web applications
• Ability to communicate effectively with engineers using HTML, CSS, and JavaScript terminology

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners.

The role 

Nebius Token Factory is a next-generation platform for LLM inference and deployment. It gives companies and developers access to dozens of state-of-the-art open-source models (LLMs, Vision, Embeddings, Image Generation) with enterprise-grade guarantees, including private endpoints, zero-retention data flow, transparent pricing, and easy scaling without GPU ops overhead.

Token Factory is part of Nebius, a company building next-generation cloud infrastructure for the global AI economy, helping teams solve real-world problems and scale AI without massive infrastructure costs or large in-house ML teams.

We are looking for a strong Product Designer  who will help turn complex AI infrastructure into a clear, controllable, and thoughtfully designed product for a professional audience. In this role, you’ll work on one of the most technically advanced AI products on the market, immerse yourself in modern LLM and AI infrastructure operating at production scale, and have real influence on UX and product decisions across core user scenarios.

You’re welcome to work in our offices in Amsterdam, Berlin, London or Prague with a hybrid work schedule.

Your responsibilities will include: 

• Designing clear, scalable interfaces for core end-to-end AI workflows: model selection and comparison, deployment and inference, inference observability and analysis, fine-tuning, dataset management, batch inference, and agent configuration.
• Own the end-to-end design of services and features within the Nebius Token Factory, from discovery to delivery.
• Being ready to write high-quality interface copy — clear, precise text that helps users navigate complex scenarios and make informed decisions.
• Developing a deep understanding of how AI systems work under the hood, translating complex technical processes (fine-tuning, data pipelines, agent workflows) into clear and manageable user interfaces.
• Collaborating with product managers to formulate hypotheses, validate them with data and user feedback, and improve key product scenarios.
• Using modern AI tools as part of the design process across research, ideation, and prototyping stages (Figma Make, Cursor, lovable.dev, ChatGPT, Claude, etc.).
• Working closely with product, engineering, and ML teams — discussing, revisiting, and improving solutions based on feedback and shared understanding.
• Clearly present design solutions and rationale to cross-functional teams
• Contribute to the development and maintenance of the design system, ensuring consistency and quality across the product  

We expect you to have: 

• 5+ years of experience in product teams (SaaS / B2B / DevTools experience is a strong plus). Strong product thinking and the ability to turn complex processes into clear and transparent user journeys.
• Experience working on technically complex products where understanding system logic and processes matters as much as UI. Ability to balance usability, consistency, and innovation in complex systems.
• Willingness to dive into the AI domain: how datasets are prepared for fine-tuning, how fine-tuning works, how agents and their workflows are structured.
• Openness to collaboration: ability to listen, argue constructively, and incorporate team feedback.
• Interest in UX research and a clear understanding of its value for product decisions.

It will be an added bonus if you have: 

• Experience with AI products, ML platforms, or developer tools.
• Understanding of API-first products.
• Experience designing enterprise-grade interfaces.
• Interest in product architecture and how systems work “under the hood.”

The Role

Your responsibilities will include:

• Ensure fault-tolerance, scale, and uninterrupted operations for the service.
• Use cutting-edge cloud technology to solve a variety of infrastructure problems.
• Implement and improve CI/CD processes.

We expect you to have:

• Solid experience with programming languages (like Go, Python, or C++);
• Solid understanding of classic algorithms and data structures;
• Commercial experience with and deep understanding of Unix systems and network technology;
• Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm).

It will be an added bonus if you have:

• Desire to be involved in backend development;
• Experience designing, developing, and running high-load distributed systems;
• Commercial experience with a variety of cloud platforms.

We conduct coding interviews as part of the process.

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

The role

We’re looking for a Backend Engineer to contribute to the development of our hyperscaler platform.

Your responsibilities will include:

Develop fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have: 

• 5+ years of professional software engineering experience;
• Knowledge of C++ programming language;
• Knowledge of Python, Java, and Go is a plus;
• Ability to write reliable code and dig into complex problems;
• Teamwork-oriented approach;
• Fluency in English.

Nice to have:

Experience designing high-load and scaling services.

We conduct coding interviews as part of the process.

The role

We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.

Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.

Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.

At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.

What’s inside the platform

You’ll work on a system that includes (and ties together):

• Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
• Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
• Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
• Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
• Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).

What you’ll do

We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.

In this role, you will:

• Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
• Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
• Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
• Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.

Example projects

• Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
• Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
• Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
• Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
• Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.

Tech stack

• Core: modern C++ (C++20, async + multithreaded primitives)
• Services & tooling: Go and Python (microservices, utilities, integration tests)

What we expect

• 5+ years of software engineering experience.
• Strong C++ skills (you’ll write core code).
• Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
• Experience developing and/or operating high-load, distributed services.
• Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
• Solid CS fundamentals: algorithms, data structures, concurrency basics.

Nice to have

• Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
• Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
• Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).

We conduct coding interviews as part of the process.

The role

We’re looking for a Senior Backend Engineer to join our Storage Virtualization Team, building a distributed, fault-tolerant storage system for Nebius’ hyperscaler cloud.
You’ll work on high-performance block and filesystem storage that delivers sub-millisecond latency, millions of IOPS and terabytes per second of throughput, even in the face of hardware failures.

• Virtualization: virtio-blk and virtio-fs, QEMU and vhost-user, performance-critical I/O paths
• Networking: high-throughput VM-to-storage transport over TCP and RoCEv2 (RDMA)
• Storage systems: replication, consensus, self-healing, and data migration

• 6+ years of professional software engineering experience
• Strong knowledge of C++
• Solid understanding of algorithms and data structures
• Basic knowledge of operating system internals (I/O, memory, scheduling)
• Ability to write reliable, maintainable code and debug complex systems
• Team-oriented mindset and fluency in English

We conduct coding interviews as part of the process.

The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

The role

We are seeking a highly skilled and customer-focused professional to join our team as a Solutions Architect specializing in Cloud infrastructure and MLOps. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.

You’re welcome to work from any DACH country (Germany, Austria, Switzerland).

Your responsibilities will include: 

• Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
• Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
• Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
• Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
• Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)

We expect you to have: 

• 5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
• Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
• Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
• Excellent communication skills, fluency in German or French preferred
• Customer-centric mindset

It will be an added bonus if you have: 

• Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
• Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
• Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google) 

Nebius Managed Kubernetes (mk8s) mission is to grow the Nebius cloud platform by providing a Kubernetes-native way to run AI systems with high efficiency and low operational overhead.
With a single click, it provides a Kubernetes cluster on top of Nebius services for compute (VMs) and networking.
In 2026, the service is scaling 10× and is expected to manage customer workloads across tens of thousands of GPU servers in more than 10 data centers.

You will lead the mk8s Core team, one of three mk8s teams. The Core team owns the API, the core of the service control plane, cluster autoscaling, platform integrations, and running k8s add-ons.

At Nebius, team leads are hands-on. We expect you to be a senior or staff engineer now (or earlier in your career). You will start as an individual contributor to gain context, then take on managerial responsibilities.

In this position, you will be responsible to:

• Lead by example. Set the quality bar by spending a significant portion of your time on IC work: writing and reviewing code, leading projects, and participating in on-call rotation, incident mitigation, and post-incident analysis.
• Manage 4–8 mid-to-senior engineers. Provide context, coach, and give regular feedback.
• Maintain the technical vision for your area of responsibility.
• Collaborate with the Product Manager and Service Owner to shape product vision and plans.

Examples of outcomes you could drive as a Team Lead

• Optimize the service control plane to create and manage 20K GPU nodes in a single Kubernetes cluster, enabling a major contract for the company.
• Integrate cluster autoscaling approaches (e.g., Karpenter) to improve resource utilization and support seamless auto-upgrades.
• Provide a Kubernetes-native way to use local disks to reduce disk I/O bottlenecks for AI training and inference, improving efficiency.
• Deliver managed Layer 7 load balancers to reduce operational overhead for customers.

What you will bring to the table:

• 8+ years of professional software engineering or management experience
• Excellent knowledge of Golang, or you are ready to quickly switch to this programming language
• Expertise with
• Multi-month technical projects
• Tech leading engineers
• Owning multi-month technical projects.

It would be an added bonus if you had:

• Experience with Team management, Kubernetes administration, Developing Kubernetes controllers

The role

Nebius is looking for a Technical Product Manager – Networks to join the team. In this role, you will will own the vision, roadmap, and priorities for networking services, including overlay (VPC) networks, underlay networks (data center fabric and WAN), and DNS.

Also, you will be responsible for shaping and managing backlogs for networking service teams and leading key, company-wide initiatives related to connectivity. This role requires strong technical depth combined with the ability to coordinate across engineering, development, product, technical support and go-to-market teams.

Your responsibilities will include: 

• Own and manage the product backlog for network service teams
• Lead and coordinate key cross-company implementations involving networking and connectivity
• Work closely with engineering and architecture teams to define product requirements and deliver new networking features
• Partner with product marketing and technical pre-sales/post-sales teams on technical publications, go-to-market activities, customer engagement, acquisition, and retention activities related to networking features
• Ensure the delivery of networking services that meet high standards for performance, security, scalability, and reliability.

We expect you to have: 

• Experience designing, implementing, or operating large-scale automated network solutions in senior engineering, architecture, or technical leadership roles (e.g., large enterprises, hyperscalers, cloud providers, or other advanced technology companies)
• Hands-on familiarity with technologies such as OVS, DNS, L2VPN, L3VPN, VXLAN, BGP, and IPv6 at scale
• Strong technical expertise in at least two of the following areas:
  • Linux networking stack
  • Overlay / SDN networking
  • ISP or large-scale service provider networking
  • DevNet / network automation
• Proven track record of delivering complex technical initiatives requiring coordination across multiple teams or stakeholders
• Technical leadership experience is a strong plus
• Product management experience is not required, but a strong willingness to learn and grow into the role is essential.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

The role

At Nebius, we’re building a next-generation AI compute platform for large-scale ML training and inference — from a few nodes to thousands of GPUs.
We’re looking for a Technical Product Manager to own product direction for Soperator — our Slurm-on-Kubernetes control plane for GPU clusters.
In this role, you will shape how ML engineers and research teams run, scale, and optimize distributed workloads in production.
If you care about systems that combine performance, reliability, and developer experience at the frontier of AI infrastructure, this role is for you.

Your responsibilities will include: 

• Own the full user journey across Soperator clusters: Slurm workflows, dashboards, alerts/notifications, node lifecycle, and training/inference capacity management.
• Define product direction end-to-end: problem discovery → solution design → delivery → adoption.
• Lead deep customer discovery through interviews, usage analytics, and workload analysis to uncover high-impact opportunities.
• Drive execution across platform teams: compute, networking, storage, observability, IAM and etc.
• Translate frontier ML and infrastructure ideas into practical product capabilities for real-world GPU clusters.
• Define success metrics, prioritize roadmap decisions with data, and ensure measurable customer/business impact.
• Lead the open-source strategy and execution for Soperator: shape public roadmap themes, prioritize OSS-facing capabilities, and ensure strong adoption in the community.  

We expect you to have: 

• 3–5+ years in Product Management, ML infrastructure/MLOps, distributed systems, or cloud platform engineering.
• Strong technical depth in distributed systems, cloud infrastructure, or ML platforms.
• Hands-on familiarity with large-scale ML training and orchestration tools (e.g., Slurm, Kubernetes, Ray).
• Track record of shipping technically complex products with multiple engineering teams.
• Strong communication and stakeholder management across engineering, research, and customers.
• Experience with product analytics, data-informed prioritization, and experimentation.
• High ownership, high learning velocity, and comfort operating in fast-moving AI infrastructure environments.

It will be an added bonus if you have: 

• Experience with GPU platforms and HPC primitives: InfiniBand/RDMA, topology-aware scheduling, high-throughput storage.
• Practical understanding of modern ML training stacks: PyTorch, DeepSpeed, FSDP/ZeRO, NCCL.
• Familiarity with efficiency and reliability metrics: Goodput, MFU, failure modes, preemption handling, health checks.
• Exposure to large-scale LLM training/inference systems.
• Experience in observability, performance tuning, or SRE/reliability engineering.
• Customer-facing technical experience (solutioning, support, architecture advisory).

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

Key Responsibilities   

• Lead large cross-team security initiatives from planning to delivery;  
• Break down complex security programs into phases, milestones, dependencies, and execution plans; 
• Coordinate execution across multiple engineering and platform teams, ensuring alignment and momentum;  
• Translate product requirements into clear, actionable workstreams for engineering teams; 
• Build and maintain project plans, documentation, decision logs, and technical context; 
• Run regular project syncs and reviews - track progress, identify blockers early, and drive mitigation; 
• Own timeline tracking and delivery forecasting - proactively highlight risks and trade-offs; 
• Partner closely with Product Managers to orchestrate execution across multiple teams; 
• Improve delivery transparency through clear status reporting, milestone tracking, and stakeholder communication; 
• Ensure cross-team dependencies are surfaced early and resolved before becoming blockers.  

What We Expect 

• Strong technical awareness in security and Cloud environments, with solid understanding of:  
• Cloud and infrastructure security principles  
• Kubernetes and container security  
• IAM Fundamentals 
• Cloud networking concepts (VPC, Security Groups)  
• Security tooling and platforms  
• Experience driving execution in complex, multi-team technical environments; 
• Strong project decomposition and execution management skills; 
• Ability to coordinate and run structured cross-functional processes across engineering and product teams; 
• Strong communication skills: concise status reporting, clear risk communication, and stakeholder alignment; 
• Experience working closely with both product managers and engineering managers in platform or infrastructure-heavy environments.  

Nice to Have 

• Experience working with Cloud platforms, distributed systems, or AI/ML infrastructure environments; 
• Experience working at a Cloud Service Provider; 
• Familiarity with advanced security domains such as confidential computing or federated computing; 
• Background in high-scale infrastructure or platform organizations.  

Success In This Role 

• Security initiatives are delivered predictably, with clear execution plans and realistic timelines; 
• Cross-team alignment is strong across product and engineering for complex security programs; 
• Risks and dependencies are identified early and actively managed; 
• Execution of security priorities becomes smoother, with reduced friction across teams; 
• Stakeholders have clear visibility into progress, risks, and next steps.  

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

• Write and maintain UI copy in Nebius Console that improves and streamlines the user experience, ensuring consistency and alignment with product documentation.
• Provide alternative UI copy options based on the proposed design solutions.
• Collaborate closely with product managers, designers, and engineers on product initiatives.
• Develop and maintain voice & tone guidelines; define and scale content patterns within the design system.
• Simplify complex technical scenarios into clear, actionable interface language.
• Conduct content audits of the existing interfaces and identify areas for improvement.
• Actively participate in the life and processes of the Product Design Team.

• 5+ years of experience in UX writing / content design.
• Strong product thinking and the ability to approach design as a system of interconnected user scenarios.
• Excellent written and spoken English.
• Familiarity with cloud computing concepts (virtual machines, containers, Kubernetes, storage, networking, etc.) and ML/AI concepts (training, inference, fine-tuning, etc.).
• Proficiency in Figma.
• A portfolio featuring real interface cases (before/after examples and clear explanation of decision logic).
• Solid understanding of core UX principles: user flows, edge cases, states, and system feedback.

• Experience in technical writing.
• Experience using AI-powered plugins in Figma or other tools to support content creation workflows.
• Review UI texts directly in the codebase and occasionally update or fix copy within the code when necessary.

The role

Nebius is hiring for a driven Account Executive AI Natives – DACH. This is a strategic hunter sales role, where you will drive the adoption of our AI and cloud solutions across the DACH marketplace. Targeting AI workloads across a set of industries and AI-native new logos and existing customers.

Based in the DACH, you will manage strategic client relationships, uncover new business opportunities, work with partners and lead the end-to-end sales process—from initial engagement to closing. Your ability to understand complex business needs, craft tailored solutions, and thrive in a fast-moving, innovative environment will be key to your success. This role requires a solid blend of consultative selling, strategic thinking, and execution excellence to help clients unlock the full value of our platform.

Our Sales team offers a fantastic opportunity to join a collaborative and supportive environment, where teamwork is just as valued as individual goals. You’ll have the chance to work with cutting-edge technology, while benefiting from a competitive commission structure. Working side-by-side with seasoned technology sales professionals, you’ll gain valuable experience in a dynamic environment, and receive excellent opportunities for career growth and business development.

You're welcome to work remotely from Germany or Switzerland.

Your responsibilities will include: 

• Demonstrate a deep understanding of Nebius and the value to our customers 
• Own and grow your territory: maintain and deliver against a strategic plan for region/territory 
• Client Engagement: Develop deep relationships with key stakeholders across the enterprise, positioning our AI and cloud solutions to address client-specific challenges 
• Solution Selling: Demonstrate the value of AI and cloud solutions through consultative selling, product demonstrations, and presentations 
• Negotiation & Closing: Lead contract negotiations with C-suite executives, securing deals that meet revenue targets and contributing to long-term partnerships 
• Regional Representation: Represent Nebius AI at regional and industry events, webinars, and customer meetings 
• Market Knowledge: Stay updated on industry trends, emerging technologies, and competitive landscape to position our solutions effectively 
• Orchestrate the deal team (SEs, Industry, Partners, CS) to deliver differentiated value proposals and business cases 
• Forecast with accuracy; progress deals through the Salesforce sales process and deliver against ACV / activity targets

We expect you to have: 

• Proven Experience: 8+ years of experience in B2B sales, particularly in AI, cloud, or data infrastructure, with a clear hunter track record 
• Passion and desire to work in a startup culture, directly impacting the growth of the company 
• Comfortable selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, and related technologies 
• Strong commercial acumen: value mapping, negotiation, multiyear deals, and execlevel storytelling 
• High energy, enthusiasm, and evidence of consistent growth vs. quota 
• CRM Proficiency: Experience with CRM tools such as Salesforce, HubSpot, or similar 
• Ability to travel as needed 

It will be an added bonus if you have: 

• Proficiency in the local market language is preferred (German)
• Previous experience in a high-growth, start-up environment 
• Exposure to SaaS models or cloud infrastructure sales 
• Experience selling to mid-market or enterprise-level clients 

The role

We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.

You’re welcome to work on-site in Amsterdam or remotely from any other EU country.

Your responsibilities will include:

• Designing customer-centric solutions that maximize business value and align with strategic goals.
• Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
• Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
• Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.

We expect you to have:

• 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
• Strong understanding of ML ecosystems, including models, use cases and tooling.
• Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
• Hands-on knowledge of frameworks like PyTorch or JAX.
• Excellent verbal and written communication skills.

It will be an added bonus if you have:

• Expertise in deploying inference infrastructure for production workloads.
• Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling:

• Programming Languages – Python, Go, Java, C++
• Orchestration – Kubernetes (K8s), Slurm
• DevOps Tools – Git, Docker, Helm
• Infrastructure as Code (IaC) – Terraform
• ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

The Role

We are opening a 3–6 month Early Career program within our AI R&D team. You will work alongside experienced researchers to solve challenges in LLMs, reinforcement learning, and agentic systems.

We are looking for Early talents to support research in:

• Reinforcement learning for agents and reasoning models
• Building reinforcement learning environments
• Efficient model distillation and evaluation

Your responsibilities will include:

• Assist in designing and running experiments to train LLMs and speculators for them
• Help analyze experimental results and document findings
• Write and maintain code for data mining, processing, and model evaluation
• Collaborate with the team to explore new methods in the selected research direction
• Participate in technical discussions and discuss future steps of research
• Advanced methods for efficient speculative decoding
• Inference optimization techniques

We expect you to have:

• Strong knowledge of computer science and machine learning fundamentals
• Experience with Python and familiarity with deep learning frameworks
• Ability to write clean, efficient code
• Strong problem-solving skills and a willingness to learn quickly
• Good communication skills in English
• Permitted to work in the job’s location

Nice to have:

• Previous experience with NLP/reinforcement learning/AI agents projects
• Familiarity with current LLM concepts
• Enrollment in or completion of a degree in Computer Science, AI, or a related field
• Contributions to open-source projects

What we offer

• Competitive salary and comprehensive benefits package
• Mentorship from experienced AI, ML, and cloud infrastructure professionals
• Hands-on experience with real customer workloads and production systems
• Remote work flexibility and a collaborative, supportive team environment
• Opportunity to be considered for a full-time role after the Early Talent Program

We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role 

We are seeking a Channel Partner Manger to lead engagement and growth with our most strategic partners in the Systems Integrator (SI), Managed Service Provider (MSP) and Value-Added Reseller (VAR) segments in the DACH and Nordics region. This senior-level role will work hand-in-hand with the Head of Channel and Head of the Region to develop and execute strategies that position Nebius as the partner of choice for these key segments.

The ideal candidate will bring extensive experience managing and scaling relationships with SIs, MSPs, and VARs, a strategic mindset and the ability to drive impactful partner enablement programs. This is a high-impact role, offering the opportunity to shape Nebius’ partner ecosystem and contribute to the company’s long-term growth.

You’re welcome to work remotely from the DACH or Nordics region.

Your responsibilities will include: 

• Strategic partner engagement: Build and deepen relationships with top SIs, MSPs and VARs, ensuring alignment with Nebius’ strategic goals and objectives
• Partner enablement: Design, develop and execute partner enablement programs that equip partners to successfully position and sell Nebius’ GPU IaaS solutions
• Collaboration with leadership: Work closely with Head of Channel and Head of the Region to align on strategic priorities, partner initiatives and business growth opportunities
• Contract negotiation and execution: Partner with team members to negotiate agreements, finalize contracts and ensure smooth implementation of sales enablement initiatives
• Business development: Identify new partnership opportunities within the SI, MSP and VAR segments, driving incremental revenue growth
• Sales alignment: Collaborate with sales teams to ensure seamless integration of partner activities into the broader sales strategy, tracking progress against key metrics
• Performance analysis: Monitor and analyze partner performance, providing actionable insights to refine programs and maximize impact
• Travel: up to 25% 

We expect you to have: 

• A minimum of 7-10 years of DACH and Nordics channel management experience, with a proven track record of working with enterprise-level partners in the SI, MSP, and VAR sectors. Experience working with enterprise customers to scale and drive adoption of cloud-based solutions is essential
• Strong, existing relationships with key SIs, ISVs, and MSPs who have a track record of serving enterprise customers. You should be able to leverage this network to accelerate the growth of Nebius' partner ecosystem
• Strong technical knowledge of cloud-based solutions, with experience enabling partners to sell complex products (preferably GPU IaaS or similar cloud infrastructure solutions) to enterprise customers
• Demonstrated experience in working with enterprise sales teams and marketing functions to co-create sales strategies, develop marketing materials, and execute joint initiatives that resonate with large-scale enterprise customers
• Ability to develop high-level strategic plans for enterprise channel growth while also diving into the tactical aspects of partner enablement, contract negotiations, and performance tracking
• Experience selling, enabling, and supporting enterprise solutions, particularly in cloud, IaaS, and GPU-based offerings. Comfort in understanding and articulating the technical value of solutions to both technical and business stakeholders within enterprise accounts
• Demonstrated success in driving revenue growth and scaling partner ecosystems in an enterprise context
• Ability to present Nebius effectively on presentations, with senior leadership, technical teams, and enterprise partners, ensuring clear and actionable messaging around Nebius’ offerings
• Fluent German and English are a must have

The role

We are looking for a Customer Engineer to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Serve as the primary technical point of contact for troubleshooting and resolving complex AI/ML issues.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5+ years in roles like Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The role 

The Data Engineering team is responsible for building and maintaining robust data infrastructure that powers analytics, and business intelligence across Nebius. We design and implement scalable data pipelines, optimize data storage and processing, and enable data-driven decision making across the organization. The team works closely with product teams and business stakeholders to ensure alignment with company goals.We are looking for a Data Engineer to design, build, and maintain our data infrastructure and pipelines. You will work on processing large-scale datasets, optimizing data workflows, and enabling analytics capabilities that support our rapidly growing cloud platform.

Your responsibilities: 

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Develop tools and automation to improve data engineering workflows and productivity.
• Ensure data governance, security, and compliance standards are met.
• Participate in on-call rotation to support production data systems.

Must-haves: 

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark, or similar).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice-to-haves: 

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform, etc).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).
• Knowledge of data quality and observability tools (Great Expectations, etc.).

We conduct coding interviews as part of the process.

The role

Nebius seeks a Key Customers Solutions Architect to support key and strategic Nebius GPU Cloud services customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving hundreds to thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.

You’re welcome to work remotely from Europe.

Your responsibilities will include: 

• Serve as the primary technical point of contact, troubleshooting and resolving complex AI/ML.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
• Act as a bridge to product teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Engage with internal and external stakeholders, negotiate solutions, and effectively drive alignment to address customer challenges.

We expect you to have:

• Experience: 5 - 10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform and Ansible.
• Experience with Kubernetes and Python programming.
• Solid understanding of GPU computing, including ML training, inference workloads, and GPU stacks (e.g., CUDA, OpenCL).
• Customer-centric approach with a proven ability to build trust and foster long-term relationships.
• Strong ability to explain technical concepts to technical and non-technical audiences.

It will be an added bonus if you have:

• Hands-on experience with HPC/ML orchestration frameworks (e.g., Slurm, Kubeflow).
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow).
• Familiarity with ML tools from NVIDIA, AWS, Azure, and Google Cloud providers.
• Strong project management skills, with the ability to prioritize tasks and deliver on deadlines.
• Proven experience mentoring technical teams and driving team growth.
• Expertise in stakeholder negotiation to support problem resolution and ensure seamless collaboration.

The team

Customer experience at Nebius GPU AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are seeking a highly skilled and customer-focused leader to join our team as a Cloud Solutions Architect Lead. As a team leader, you will play a pivotal role in customer success across EU region, both managing the efforts of Cloud Solutions Architects team (technical and process excellence, talent development) and building processes alongside your stakeholders. Player-coach mentality and proven track record of managing high expertise teams is a must. 

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Lead and mentor a team of Solutions Architects, fostering a culture of technical excellence, customer empathy, and collaborative execution.
• Oversee and participate in technical engagements including PoCs, workshops, architecture reviews, and trainings.
• Drive consistency and quality across infrastructure design, IaC practices, technical documentation, and customer enablement content.
• Collaborate closely with Product and Development teams, representing customer needs and helping shape the roadmap.
• Guide customers in optimizing ML/AI/HPC pipelines for performance, scalability, and cost-efficiency on Nebius  cloud infrastructure.
• Build visibility and ownership culture amongst Solutions Architects.

We expect you to have: 

• 5+ years of experience in a technical role (Solutions Architect, DevOps Engineer, ML Engineer, or similar) with a focus on cloud-native systems and distributed computing.
• 2+ years of experience leading or mentoring customer facing engineering teams.
• Deep hands-on experience with Infrastructure as Code (Terraform, Ansible), Kubernetes, and cloud automation.
• Strong communication and stakeholder management skills across both technical and non-technical audiences.
• Passion for developing scalable, reliable cloud architectures and driving customer success.

It will be an added bonus if you have: 

• Experience with HPC or ML orchestration frameworks (e.g., Slurm, Kubeflow, Ray).
• Strong coding skills in Python and experience with GPU computing environments for ML/AI workloads.
• Proficient in GPU stack components (e.g., CUDA, cuDNN) and cloud-native patterns for ML training/inference.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX).
• Understanding of cloud-based ML tools and offerings from NVIDIA, AWS, Azure, or Google Cloud.
• Experience participating in or leading technical contributions to conferences or open-source communities. 

Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

The role

We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across Europe. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.

As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.

You’re welcome to work remotely from Europe.

Your responsibilities will include:

• Own end-to-end technical presales engagements, from discovery through solution design, PoC execution, and production readiness
• Serve as a trusted technical advisor to customer stakeholders, including CTOs, Heads of AI/ML, and platform engineering teams
• Deliver compelling technical presentations, demos, and workshops that clearly communicate the value of Nebius across different customer segments
• Execute demos and PoCs to demonstrate performance, scalability, and cost efficiency of Nebius solutions
• Translate customer requirements into scalable, production-ready architectures and best practices
• Collaborate closely with Sales, Product, and Engineering to align customer needs with Nebius capabilities and roadmap
• Act as a technical advocate for customers internally, ensuring feedback is incorporated into product and go-to-market strategy
• Support regional go-to-market efforts, including events, meetups, webinars, and technical content creation
• Contribute to building repeatable technical playbooks and assets for the European market

We expect you to have:

• 2–5+ years of experience in technical roles such as Solutions Architect, Cloud Architect, Sales Engineer, or similar, with strong customer-facing exposure
• Proven experience in presales or customer-facing technical roles, including discovery, solution design, and PoC execution
• Strong ability to deliver technical pitches and clearly explain complex infrastructure and AI/ML concepts to both technical and business audiences
• Experience positioning cloud or infrastructure solutions and articulating value propositions in competitive environments
• Solid understanding of ML/AI workloads, including training and inference, and the underlying infrastructure requirements
• Experience with cloud platforms, Kubernetes, and distributed systems
• Hands-on experience with Infrastructure as Code (e.g., Terraform) and scripting/programming (Python preferred)
• Strong communication and storytelling skills, with the ability to adapt messaging across different customer segments
• Deep understanding of the European market, including customer expectations, buying behaviors, and local ecosystem
• Fluency in English plus another language preferred (both written and spoken), with the ability to engage confidently with local customers and stakeholders
• A highly customer-centric mindset, with the ability to balance technical depth and business value

It will be an added bonus if you have:

• Experience with GPU-accelerated workloads and AI infrastructure (NVIDIA ecosystem, CUDA, etc.)
• Hands-on experience with MLOps tools and frameworks (Kubeflow, MLflow, etc.)
• Familiarity with HPC environments and schedulers (e.g., Slurm)
• Experience contributing to regional go-to-market or developer/community initiatives

Role

We are looking for a Product Manager — Public Notifications & Communications to take our customer-facing notification experience to the next level. Nebius already has a working notification infrastructure — multi-channel delivery (email, Slack, in-console) and integrations across the platform. The next step is turning this foundation into a product: richer message content, self-serve access for all product teams, proactive system health signals, and communication quality that sets Nebius apart from hyperscalers.

What you will do

• Own the product vision and roadmap for the Notifier platform — expanding from core delivery infrastructure to a self-serve notification system usable by all Nebius products.
• Define and evolve notification standards: content guidelines, severity taxonomy, actionability requirements, and delivery SLAs across all channels.
• Improve maintenance communication: sharpen pre-notification processes, message quality, and multi-product coordination.
• Identify opportunities to reduce notification noise at scale and introduce missing event types that customers would find genuinely valuable.
• Work with platform teams to introduce proactive system health alerts — giving customers visibility into cluster state before issues escalate.
• Track and report notification quality metrics: delivery rates, customer feedback, and satisfaction trends.

What we expect

• Strong product opinion on when a notification adds value versus creates noise.
• Familiarity with cloud operational communication patterns: maintenance windows, service status, system health alerts.
• Technical understanding of notification delivery systems: queues, retry logic, multi-channel routing.
• Ability to set and evolve quality standards — including defining content policies and message templates.

Nice to have

• Experience with cloud infrastructure platforms (IaaS, PaaS) and their operational communication patterns.
• Familiarity with reliability concepts: SLOs, error budgets, maintenance windows.
• Experience driving cross-team product initiatives — aligning multiple engineering teams around shared requirements and delivery.

Success in this role

• All Nebius product teams can self-serve new notification types without cross-team coordination overhead.
• Notification content is consistently specific, actionable, and relevant — customers see notifications as a useful signal, not noise.
• Maintenance communication is timely and consistent across all products and regions.
• Customers have proactive visibility into cluster health before issues affect their workloads.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The role

We’re looking for a Security Product Manager to join our team. Security Product Manager is responsible for conveying the company’s security strengths to customers, partners and the market at large. This includes participating in relevant security partnership initiatives, influencing security positioning and branding, and working closely with internal teams to ensure company’s security posture and security products is communicated effectively to all stakeholders. By combining expertise in compliance requirements with a customer-centric approach, Security Product Manager helps position security as a competitive advantage rather than just an internal obligation. 

Your responsibilities will include: 

1. Product Management 

• Define the vision and roadmap for Nebius’ security products. 
• Owning the ideation, postmortem, prioritization, backlog, and customer feedback processes. 
• Guiding new features, systems and services from inception to launch, while keeping customers at the center of everything. 

2. Customer-facing communications 

• Lead public-facing communications around security updates or changes in compliance status. 
• In the event of a security incident, coordinate user messaging (email notifications, press releases, FAQs) with support from the Head of Security Products and CISO. 
• Gather user feedback on user experience and security to guide continuous improvements. 

 3. Competitive analysis and market research 

• Conduct ongoing research on industry benchmarks, emerging security standards and technologies, and competitor certifications. 
• Identify gaps and opportunities in organization’s product security posture; propose strategic initiatives that differentiate the company’s security story in the market. 
• Stay informed about new regulations or frameworks that may influence future product certifications or transparency requirements (e.g., privacy laws, data sovereignty standards). 

 4. Certification and audit support, service ownership 

• Collaborate with the CISO office to gather technical evidence or make necessary product enhancements that satisfy certification requirements. 
• Take ownership of some security-related services of Cloud platform. 
• Track and maintain a certification roadmap (ISO 27001, SOC 2, HIPPA, etc.), working closely with CISO, GRC & Compliance, Corporate Security departments. Communicate timelines, goals and status updates to leadership and sales representatives. 

5. Cross-functional collaboration 

• Coordinate with multiple Product Managers to align security goals with other product roadmaps, ensuring a consistent narrative between product security and external messaging. 
• Work with Platform Security, GRC & Corporate Security and legal teams to gather essential information for security products enhancements (e.g., penetration test summaries, compliance reports). 
• Work with Customer-facing teams to address client inquiries about security posture and guide them on using security features optimally. 

We expect you to have: 

• 3+ years of Product Management or Program Management experience with a focus on security initiatives. 
• Basic knowledge of compliance frameworks (e.g., SOC 2, ISO 27001, GDPR) and familiarity with how they translate into business value. 
• Proven ability to communicate technical concepts in a clear, customer-friendly manner (e.g., writing content, speaking at webinars or conferences). 
• Stakeholder management skills to align with other Product Managers, CISO staff, engineering, marketing, and customer-facing teams. 
• Analytical mindset: comfortable defining success metrics (e.g., security feature adoption, NPS around trust, certification progress) and making data-driven decisions. 
• Project management skills: demonstrated ability to manage inter-team collaboration within company-wide projects, ensuring timely delivery of cross-functional tasks and alignment with compliance goals. 

It will be an added bonus if you have: 

•  Certifications such as CISSP, CISM, or PMP; prior experience in regulated industries; prior experience working for Cloud Service Provider.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI practitioners. As an NVIDIA preferred cloud service provider, Nebius AI offers a variety of NVIDIA GPUs for training and inference, as well as a set of tools for efficient multi-node training. 

Nebius AI owns a data center in Finland, built from the ground up by the company’s R&D team and showcasing our commitment to sustainability. The data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 16th most powerful globally (Top 500 list, November 2023).  

Nebius’s headquarters are in Amsterdam, Netherlands, with teams working out of R&D hubs across Europe and the Middle East. 

Nebius AI is built with the talent of more than 500 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius AI cloud – from hardware to UI – to be built in-house, distictly differentiating Nebius AI from the majority of specialized clouds: Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners. We’re growing and expanding our products every day. 

If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

The team

Our Sales team offers a fantastic opportunity to join a collaborative and supportive environment, where teamwork is just as valued as individual goals. You’ll have the chance to work with cutting-edge technology, while benefiting from a competitive commission structure. Working side-by-side with seasoned technology sales professionals, you’ll gain valuable experience in a dynamic environment, and receive excellent opportunities for career growth and business development.

The role

Nebius is seeking a high-impact Regional Sales Director to lead and scale our business across DACH. This is a first-line leadership role with full accountability for regional revenue performance, pipeline health, and forecast accuracy. 

You will lead a team of quota-carrying Account Executives and operate as the regional business owner — driving disciplined execution while shaping the go-to-market strategy in one of our most strategic growth markets. 

This is a hands-on leadership role suited to a sales leader who thrives in technically complex, high-growth environments. You will balance frontline deal leadership with strategic planning, cross-functional alignment, and talent development, while building Nebius’ presence and brand across the region.

You are welcome to work remotely from Germany

What You’ll Own 

Revenue & Execution 

• Lead, coach, and develop a team of up to 8 Account Executives 
• Own regional revenue targets, pipeline generation, and forecast accuracy 
• Drive consistent execution of Nebius’ sales methodology across startup and enterprise segments 
• Act as executive escalation point for complex, strategic, or multi-stakeholder deals 

Regional Strategy & Market Development 

• Define and execute the regional go-to-market strategy aligned with European and global objectives 
• Identify priority verticals, strategic accounts, and ecosystem partnerships within the AI landscape 
• Partner with Marketing to drive regional demand generation and field initiatives 
• Provide structured market feedback on customer needs, competitive dynamics, and product opportunities 

Cross-Functional Leadership 

• Partner closely with Solutions Engineering to deliver technically credible, high-impact engagements 
• Collaborate with Customer Success to ensure strong handoffs, retention, and expansion 
• Work with Revenue Operations on territory design, pipeline inspection, forecasting discipline, and performance management 

Talent & Culture 

• Recruit, onboard, and ramp top-performing sales talent as the region scales 
• Conduct regular 1:1s, pipeline reviews, deal coaching, and performance development 
• Build a culture of accountability, execution excellence, and continuous learning 

What You Bring 

Required Experience 

• 10+ years in B2B technology sales, including 5+ years leading quota-carrying sales teams in high-growth environments 
• Proven track record of consistently meeting or exceeding revenue targets 
• Experience selling complex, technical solutions (cloud infrastructure, AI/ML platforms, data platforms, developer tools, or similar) 
• Strong forecasting discipline and operational rigor 
• Ability to engage credibly with both technical buyers and senior executive stakeholders 

Preferred Experience 

• Background in AI, ML platforms, cloud infrastructure, or high-performance computing 
• Experience selling to AI-native startups, scale-ups, or enterprise innovation teams 
• Experience scaling a region or building a team in early or growth-stage GTM environments 
• Experience leading distributed or remote-first teams 
• Fluency in English 

Leadership Profile 

• • Data-Driven & Analytical – Uses pipeline metrics, conversion data, and forecast trends to drive performance and decision-making. 
  • Ownership-Oriented – Takes full accountability for regional outcomes and proactively removes obstacles to success. 
  • Collaborative & Culturally Agile – Partners effectively across functions and geographies in a distributed organization. 
  • Strong Deal Leader – Skilled in managing complex, multi-stakeholder sales cycles and supporting teams through structured deal progression. 
  • Customer-Centric – Deeply understands customer objectives and coaches teams to deliver long-term, AI-native value. 

About the Product 

Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises. 

We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs. 

Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases. 

 About the Team 

We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems. 

While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the  space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges. 

Technology & Environment 

Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research. 

The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability. 

What We’re Working On 

• Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability  

• Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations  

• Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements  

• Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features  

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

Why It’s Interesting 

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments. 

The role

We’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.
You're welcome to work from our offices in Prague, Amsterdam, or Berlin— hybrid or remotely.

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We expect you to have:

• 5+ years of professional software engineering experience
• Excellent knowledge of Golang or you are ready to quickly switch to this programming language
• Ability to write reliable code and dig into complex problems
• Teamwork-oriented approach

It would be an added bonus if you had:

• Experience designing high-load and scaling services

We conduct coding interviews as part of the process.

A career driven by you. At LeasingMarkt.de, we bring customers and dealers together to make car leasing more accessible, transparent, and efficient. With over 1,000 partner dealerships and nearly 2 million users across the DACH region and the Netherlands, we’ve become Germany’s #1 leasing platform. To keep growing and driving innovation in the mobility space, we’re looking for a Senior Software Engineer to join our high-performance team at our Düsseldorf office. 

As a Senior Software Engineer, you will play a key role in designing and developing robust, scalable applications that power one of the largest automotive leasing marketplaces in Europe. You’ll collaborate with a cross-functional team to build and evolve solutions that are architecturally sound, easy to maintain, and built for long-term impact. You’ll help shape technical direction while raising the bar for software quality and stability across the platform. 

What you’ll do:

• Join one of our builders’ teams to build great products loved by our customers. 
• Apply an AI-first mindset to every phase of you-build-it-you-run-it: from design and coding to testing, deployment and operations.
• Work hands-on in real product codebases (for example TypeScript/Node/Next.js or Java/Spring), using GenAI tools to accelerate development, improve quality and simplify existing systems.
• Build and evolve AI-powered internal tools and workflows (assistants for coding, reviews, documentation, testing) that engineers across AutoScout24 can rely on every day.
• Act as a multiplier and culture driver: coach teams on effective GenAI usage, share patterns and anti-patterns, and help establish AI-first ways of working across our engineering organization.
• Experiment, measure and improve: run small, data-informed experiments with teams, learn what works in our context, and turn successful approaches into repeatable standards and playbooks. 

What you’ll bring: 

• Experience leveraging AI and Generative AI (GenAI) to enhance engineering productivity — including code generation, debugging, reviews, documentation, and decision support — with a proactive mindset toward adopting tools that streamline development and drive innovation. 
• Deep, hands-on experience building production systems (we expect you’ve spent at least 5 years doing this, possibly much more), ideally with PHP and Laravel as well as TypeScript/Node.js/Next.js on AWS, Azure or GCP.
• Demonstrated personal excellence in using GenAI coding tools (for example GitHub Copilot, ChatGPT, Claude Code, Cursor, OpenAI Codex) to significantly improve your own development speed and quality: code generation, refactoring, debugging, tests and documentation. 
• Experience integrating LLM APIs (such as OpenAI, Anthropic, Azure OpenAI, Vertex AI or similar) into applications or internal tools.
• Strong communication and influencing skills: you can introduce new tools and practices, align stakeholders, handle skepticism and iterate based on feedback.
• A curious, growth-oriented mindset: you actively seek out new practices and tools, you are comfortable learning in public, and you help others do the same.
• A pragmatic view of GenAI: you understand its limitations and risks and know how to put guardrails in place (reviews, tests, policies) to keep usage safe, compliant and sustainable at scale.
• Experience with performance optimization, caching strategies, and system observability is a plus. 

A culture of growth  

With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.  

For a career where you can drive our business and shape your future, apply now. 

The role: What's in the Box

As search behavior evolves across Google, AI Overviews, ChatGPT, Perplexity, Reddit, and other discovery surfaces, our SEO team is expanding its focus from traditional organic search to broader Organic Discovery: building the technical, content, and measurement foundations that help customers find us wherever dinner decisions are made.

As part of this team you’ll strengthen the technical SEO foundation across high-impact surfaces such as recipe pages, collections, and editorial content, as well as new AI/GEO discovery formats.

Since this isn’t a purely advisory role you’ll also diagnose complex SEO issues, translate them into scalable product and engineering requirements, partner closely with developers and product managers, and measure the impact of technical and programmatic SEO improvements across international markets.

What you’ll do: The Recipe

• Owning the technical SEO strategy across HelloFresh Group websites, focused on crawlability, indexation, site architecture, structured data, internal linking, and international SEO.
• Leading technical audits and turning findings into prioritized roadmaps.
• Partnering with Product and Engineering teams to define SEO requirements for templates, migrations, content systems, automation, and sitewide technical changes.
• Controlling international SEO workstreams including hreflang, canonicals, URL structure, duplicate content, and multilingual/multi-market visibility.
• Building scalable SEO QA processes for launches, including pre-launch validation, post-launch monitoring, crawl checks, and structured data checks.
• Driving programmatic SEO and automation initiatives, including XML sitemaps, internal linking logic, page creation workflows, and publishing guardrails.
• Using SEO, analytics, crawl, ranking, and internal data to diagnose issues, identify opportunities, and measure impact.
• Communicating technical SEO priorities clearly to senior stakeholders, connecting recommendations to traffic, conversion, crawl efficiency, and AI/GEO visibility.

What you’ll bring: The Ingredients 

• 5-7+ years of SEO experience, with strong hands-on technical SEO ownership for large-scale websites as well as experience in working on international or multi-market websites with complex language, country, domain, or subdirectory structures.
• Deep knowledge of crawlability, indexation, canonicals, hreflang, redirects, structured data, XML sitemaps, internal linking, JavaScript rendering, Core Web Vitals, and site architecture.
• Ability to work with Product and Engineering teams, write clear SEO requirements, influence prioritization, and validate implementation.
• Advanced analytical skills using tools like Google Search Console, Screaming Frog, Ahrefs, STAT, GA4, BigQuery, Looker, or similar platforms.
• Comfortable reading HTML, CSS, JavaScript, structured data, and server responses; Python, SQL, JavaScript, or Google Apps Script proficiency is a plus.
• Strong communication skills and the ability to explain technical SEO issues clearly to non-SEO stakeholders, also outstanding organizational skills, and comfort in operating across multiple brands, markets, and teams.

Above all, we are looking for people who will make HelloFresh better. There are many different ways of developing skills, and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you the missing ingredient?

If this sounds like a tasty opportunity, we’d be excited to hear from you. We aim to review your profile and respond within 5 business days.

#JD1002

The role

The Sr. Category Manager Operations will be responsible for overseeing category management, strategic sourcing and contracting for CapEx, Material Handling Equipment and Utilities (and also supporting other Operation areas such as MRO, Facilities Management, etc.) for Hello Fresh’s European production sites and offices. The role will also be supporting initiatives targeted to increase the maturity level of Indirect Procurement’s processes and systems landscape. As part of the Operations Procurement team the position will report to the respective cluster lead (Director level).

We are looking for an ambitious, confident, entrepreneurial, and high-spirited Procurement professional with a strength for data processing, optimisation & reporting, ability to navigate ambiguity, attention to detail and great stakeholder management ability.

What you’ll do

• Conduct detailed spend analysis and benchmarking, evaluate market and competitive conditions, and use as a basis to create data based category strategies and sourcing activities
• Align and execute a sourcing roadmap with key stakeholders in the HQ and the local markets to deliver P&L savings and overall procurement value
• Develop and optimize the supplier portfolio across Hello Fresh’s markets
• Cultivate and manage close (senior level) relationships with business partners within Operations to support their objectives and the company growth agenda
• Act as the central point of contact for any Ops Procurement related questions
• Design and maintain category reporting to senior executives and internal stakeholders
• Lead or participate in the implementation of best-in-class procurement processes and tools

What you’ll bring

• The Sr. Indirect Procurement role will oversee a broad range of categories, including CapEx, Material Handling Equipment, Utilities, MRO, and Facilities Management. Candidates should bring solid experience across several of these areas; the wider the category exposure, the stronger the profile. Proven hands-on experience in at least some of these categories is essential.
• Experience within European markets is a key requirement for this role.
• Minimum of 7 years experience in indirect Procurement.
• Degree in Engineering is preferable (but no mandatory)
• Deep knowledge of strategic sourcing methodology, category management, and supplier management
• Excellent analytical skills, attention to detail, and enjoy working independently
• Experience in spend and market analyses as well as benchmarking with focus on european markets.
• Strong written and verbal communication skills, including preparing and delivering presentations and reports
• Outstanding interpersonal skills with proven ability to build trust and credibility with business partners
• Demonstrated change management and project management knowledge
• Readiness to frequently travel nationally/abroad to our sites
• Fluency in business English, additional German language skills are a plus 
  
  * Please submit your resume in English.

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Initially we offer 2 years contract. 
• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

The role

HelloFresh is looking for a FSQA Manager - Quality Surveillance (all genders) to serve as the central technical expert for microbiological safety, food fraud management, and ingredient quality. As part of the FSQA Compliance, Processes and Systems team, you will oversee the global micro-testing procedure implementation, manage the internal quality laboratory and implement quality and safety improvement processes such as destructive testing, cooking instruction validations etc . This role is essential for mitigating operational and legal risks, preventing food safety incidents, and protecting the HelloFresh brand reputation.

Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would like to learn more about you.

What you’ll do

• You lead the global centralization of processes by finalizing the worldwide tender for micro testing and food fraud services, ensuring consistent standards across all international markets.
• Moreover, you implement and deploy central procedures locally, achieving and maintaining high standards within the surveillance program and driving ingredient quality improvement.
• You own compliance and surveillance by overseeing the legally required global ingredient testing program, including the collection and analysis of micro testing reports to prevent food safety incidents and pathogen outbreaks.
• In addition, you monitor supplier performance by managing corrective actions following non-compliant results and using these insights to strengthen supplier food safety systems.
• You establish and oversee the destructive testing strategy across HelloFresh Distribution Centers, enabling deeper analysis of critical ingredients and reducing error rates.
• Furthermore, you support product innovation by running key quality and scientific tests from the headquarters lab for new and existing ingredient development, ensuring stability and consistency before market launch.
• Finally, you champion continuous improvement by collaborating closely with the Product team to analyze error rates and customer feedback trends, directly linking quality data to improvements in customer satisfaction.

What you’ll bring

• Deep subject matter expertise in food safety, with the ability to critically assess ingredient safety and quality risks
• Strong data proficiency, including advanced data analysis and confident use of Google Sheets for global reporting and sampling plans
• Hands-on laboratory experience conducting quality, scientific, stability, and ingredient development tests
• Proven experience in creating, maintaining, and scaling global sampling plans and centralized testing processes
• Strong risk mitigation capabilities, including identifying quality flaws (e.g. spoilage, internal damage) and driving corrective actions
• Excellent communication, collaboration, and stakeholder management skills, with the ability to influence, present ideas, and lead discussions
• Strong analytical, problem-solving, and change management skills, paired with adaptability and ownership in fast-paced, global environments

What we offer

Elevate your lifestyle! Join one of Europe's fastest-growing tech powerhouses in a dynamic phase of expansion.

• Immerse yourself in a diverse global community of 90+ nationalities.
• Enjoy a competitive compensation package that goes beyond the norm, with perks like a HelloFresh- subsidized Pension Scheme, Berlin relocation support, and a Hybrid working model.
• Elevate your lifestyle with exclusive discounts on your weekly HelloFresh box and office meals.
• Invest in your growth with an annual learning & development budget, German language learning budget, and access to the HelloFresh Academy.
• Plus, we've got your well-being covered with mental health support, transportation perks, and working-parent-friendly benefits. From our 24/7 gym access,wellbeing platforms like Headspace and Spill, to sabbatical leave options, HelloFresh is not just a workplace; it's a lifestyle of perks and possibilities!

Are you up for the challenge?

Please submit your complete application below including your salary expectations and earliest starting date.

After submitting an application our team will review this and get back to you within 5 business days. 

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Available Locations: London or Lisbon

About the Department

Account Executives, Business Development Representatives, Solution Engineers, and Customer Success - all working together to help our customers adopt Cloudflare and build great Internet-enabled experiences. The sales team at Cloudflare helps customers take on real, technical problems while building the revenue streams that help the company provide free service to millions in our community.

About the Role

Based in one of our EMEA locations, you will drive sales into Gaming & iGaming accounts headquartered in Europe. You will employ both a ‘hunter’ and a ‘farmer’ mindset i.e. proactively penetrate target Gaming/iGaming prospect accounts, whilst leveraging relationships with existing customers and working cross-functionally with customer success to identify and execute on upsell opportunities within these accounts. You will build strong relationships internally (finance, compliance, legal, product, marketing, partners, etc.) and champion the ever-adapting requirements of customers in this segment to all internal stakeholders involved - so as to help deliver a best-of-breed solution to Gaming & iGaming customers in your target regions.

Additional responsibilities will include

• Carry & exceed individual quarterly quotas
• Leads contract negotiations
• Build a robust sales pipeline
• Develop long-term strategic relationships with key accounts
• < 50% travel

Examples of desirable skills, knowledge and experience

• Minimum 5 years of direct B2B selling experience required
• Fluent English and a second Eastern European language preferred
• Experience selling to Gaming & iGaming customers in EMEA preferred
• Direct experience selling network security and/or CDN solutions and services preferred
• Closing experience and track-record of exceeding quota
• Deep understanding of the sales process as it relates to Enterprise, Mid-Market, & SMB companies
• Relevant direct experience, track record, and relationships within Gaming & iGaming accounts in Europe is preferred
• Exemplary communication skills, both written and verbal, with confidence to develop and present ideas to varying levels of audiences
• Experience directly managing a pipeline of complex, large deals
• Basic understanding of computer networking and “how the internet works”
• Aptitude for learning technical concepts/terms (Technical background in engineering, computer science, or MIS a plus)
• Strong interpersonal communication (verbal and written) and organisational skills.
• Self-motivated; entrepreneurial spirit
• Comfortable working in a fast paced dynamic environment

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like IKEA and Booking.com already deploying Parloa at scale. 

About the role:

As a Principal Applied Scientist at Parloa, you will define and drive our applied AI strategy across AI agents and Generative AI.

This is a highly hands-on and high-impact role at the intersection of research and production. You will explore, validate, and scale approaches that directly shape our product, from model evaluation and routing to agent behavior, memory, and context engineering, while defining how these systems should be measured, benchmarked, and improved across the industry.

Beyond execution, you will act as a technical leader: identifying opportunities, setting direction, and building the foundations of applied science at Parloa.

Areas of ownership:

• Define and lead applied AI initiatives across agent systems, LLM evaluation, and model optimization
• Own ambiguous problem spaces end-to-end: from framing and experimentation to production impact
• Design and implement evaluation & benchmarking frameworks, leveraging and challenging industry standards — and where needed, defining new ones
• Drive innovation in agentic systems, including topics like routing, memory, and context engineering
• Prototype and validate new approaches (e.g., model combinations, fine-tuning strategies, or open-weight models)
• Translate research into production-ready solutions, working closely with engineering teams
• Act as a technical authority and multiplier, mentoring others and shaping best practices
• Establish and lead the Applied Science guild, fostering knowledge sharing and raising the bar across teams
• Influence product and technical strategy, identifying where applied science can unlock the most value

Who you are:

• 12+ years of experience in Applied Machine Learning, Applied Science, or a related field, with a proven track record of delivering ML/AI systems in production
• Experience with agent-based systems or multi-step LLM workflows
• Strong recent experience working with LLMs and Generative AI systems, ideally in production environments
• Demonstrated ability to own and drive ambiguous problem spaces end-to-end—from problem framing to measurable impact
• Deep understanding of evaluation methodologies, benchmarking, and model performance analysis, including human-in-the-loop approaches
• Hands-on technical skills, with the ability to prototype, experiment, and ship solutions in collaboration with engineering teams
• Experience working on production systems, balancing speed, quality, and scalability
• Proven technical leadership and influence, with experience shaping direction, mentoring others, or driving cross-team initiatives
• Ability to operate at both strategic and execution levels, connecting long-term vision with day-to-day decisions
• Strong communication skills, with the ability to clearly articulate ideas and influence technical and non-technical stakeholders
• Evidence of broader impact (e.g., published work, open-source contributions, internal initiatives, or industry influence) is a plus

We know that great candidates don’t always meet every single requirement. If you’re excited about this role and believe you could make an impact, we encourage you to apply, even if your experience doesn’t perfectly match every qualification.

Nice to have

• Familiarity with model routing, fine-tuning, or open-weight models
• Background in human-in-the-loop evaluation or annotation systems
• Contributions to public research, blogs, or open-source projects

Our recruiting process:

Talent Acquisition → Technical Peer Interview → 360° Technical Interview Loop → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

About the Role:  

The Sales Operations Manager owns complex quote support and operational execution while influencing strategy, systems, and process design across the revenue engine. This role acts as a key cross-functional leader, driving consistency, scalability, and compliance across quote-to-cash and broader RevOps initiatives.

This is a global role supporting cross-regional stakeholders. While primary support will focus on local/regional AEs and Sales Managers, the role requires collaboration across time zones and flexibility in work schedules to meet business needs. Participation in global RevOps cadences, including the weekly Thursday Broader RevOps Sync, is required.

This is a full-time, hybrid role which will require you to work from our Berlin office 3 days per week.

Impact You’ll Own:

• Own complex and non-standard deal structures, including pricing exceptions, amendments, and multi-element agreements
• Ensure all quotes are compliant with SOX, revenue recognition, and booking policies
• Influence upstream deal behavior by educating Sales on best practices and policy implications
• Transition from user to system thinker—understanding how changes impact downstream processes
• Extract insights from operational data and translate them into actionable recommendations
• Recommend, lead and manage scalable process improvements from design through implementation
• Document and standardize processes to support growth and audit readiness
• Act as a trusted advisor to Sales leadership, Finance, Legal and cross-functional partners
• Proactively surface trends, risks, and improvement opportunities

What You Bring:

• 6+ years of experience in Revenue Operations, Sales Operations, Deal Desk, or Finance Operations
• Bachelor’s Degree in a relevant field
• Experience supporting global, multi-segment sales organizations
• Ownership of complex quote-to-cash processes across regions
• Experience partnering directly with Sales Directors, Finance leadership, Accounting, Legal, and Systems teams

What Makes You Stand Out:

• You think like a revenue architect — understanding how quoting decisions impact forecasting, accounting, renewals, and long-term customer value
• You bring structured recommendations to leadership, not just summaries
• You’ve influenced global process standardization while navigating regional complexity

Application Deadline:

August 5, 2026 by 11:59p / 23:59 CET (Central European Time)

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

• Paid time off including vacation, holidays and company-wide days off 
• Employee Wellness Program 
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity 
• Volunteering Paid Time Off