About the Role:

As a Staff Product Manager for Enterprise Share & Fund Plans, you'll own Ledgy's portfolio of share and fund plan products working hand-in-hand with some of the world's largest financial institutions to bring complex, high-stakes programs to life.

Our most important enterprise relationships are deeply collaborative. You'll work with clients to translate their requirements into solutions that work for them and for Ledgy. You will be running your own market and user research to build the domain expertise that lets you challenge assumptions, spot gaps, and make confident product decisions. The best outcomes come from both: a strategy that is based on deep client partnership and an independent point of view on where the market is going and what needs to get built.

At Ledgy you will:

• Own the Share & Fund Plans portfolio: starting with a major international pensions & savings program in Q3, with other exciting share and fund plans on the horizon
• Be the primary product partner for enterprise clients: navigate large organisations, manage senior stakeholders on both sides and know when to say yes, when to push back. You build the relationships that make complex programs succeed.
• Turn enterprise requirements into scalable product decisions: dig into RFPs and requirements documents and translate them into well-scoped solutions. Hold scope and complexity with conviction, making the strategic calls on what gets built and how it generalises, and where Ledgy draws the line.
• Run discovery to develop deep expertise in share and fund plan structures across Ledgy's core markets, including qualified vs. non-qualified plan treatment in the US and UK
• Collaborate with product leadership on strategy, balancing enterprise delivery milestones with longer-term platform investments
• Partner with Design, Engineering, and SMEs to write clear specifications and manage delivery in an agile setting
• Contribute to Ledgy's PM best practices, especially around enterprise co-build patterns and model high AI fluency, using AI tools to move faster and work smarter across research, documentation, and delivery
• Define and track success metrics for your team's initiatives, balancing enterprise delivery milestones with broader product KPIs

In the first 30 days:

• Be paired with an onboarding buddy and get up to speed on Ledgy's equity management platform, existing Share & Fund Plans capabilities, and the broader enterprise landscape
• Get introduced to the active enterprise programs and the key stakeholders involved on the client side
• Shadow customer calls, review existing requirements documents and RFPs, and start building your view of the opportunity
• Start contributing to roadmap discussions with guidance from team members

In the first 60 days:

• Fully own the client relationship for the Q3 pensions & savings program, understanding requirements, dependencies, and decision-making structures
• Develop a clear view of the scope, risks, and delivery plan for Q3 and communicate this confidently to internal and external stakeholders
• Fully master Ledgy's value proposition, understand our product capabilities and competitive landscape
• Participate in strategic discussions about scaling our share & fund plan product

In the first 90 days:

• Lead roadmap planning for the Share & Fund Plans pillar, balancing near-term enterprise delivery with longer-term platform investments
• Establish a working model for how Ledgy engages with enterprise clients in a co-build context, including how we scope, negotiate, and document bespoke requirements
• Collaborate with Product Marketing and Sales to refine our go-to-market narrative for pensions, savings, and fund plans
• Research Ledgy’s core markets regarding equity comp standards and complex share & fund plans to identify biggest opportunities

The job is a great fit if you:

• Have a minimum of 8+ years of product management experience, ideally in B2B SaaS with significant time spent in enterprise-facing roles
• Have a proven track record co-building with large enterprise clients, working from RFPs to deliver solutions that balance client needs with platform scalability
• Are a strong stakeholder and project manager, comfortable operating across multiple organisations and keeping complex programs on track
• Thrive when the roadmap is partly client-driven and know how to navigate that without losing product quality or long-term vision
• Are experienced working with large financial institutions or regulated enterprise customers, and understand the compliance and governance environments they operate in
• Are genuinely excited about startups: you move fast, adapt quickly, and bring energy and ownership to your work even when things are ambiguous
• Are well-versed in AI tools and apply them actively to increase your speed and the quality of your output. You're forward-thinking about how AI changes the way PMs work
• Have a strong sense of accountability, ownership and outstanding solution focus
• Have excellent communication skills, both written & verbal, and in the room with senior enterprise stakeholders; fluent in English

Nice to Haves:

• Background in financial services, fintech, or wealth management
• Experience with executive compensation or employee share purchase schemes
• Prior experience with equity management platforms

About Us:

At Sauce Labs, we empower the world's top enterprises - like Walmart, Bank of America, and Indeed - to deliver quality web and mobile applications at speed. Our industry-leading platform ensures continuous quality across the SDLC, using AI-powered analytics to identify key quality signals from development through production. With our unified solution, teams can release and innovate with confidence, knowing their apps will always look, function, and perform exactly as they should. Backed by TPG and Riverwood Capital, we are shaping the future of digital confidence - join us!

The Role:

Sauce Labs is looking for a passionate Senior Backend Engineer to join the Sauce Connect team. This agile development team plays a critical role in enabling enterprise customers to maximize their use of Sauce Labs by providing a fast, secure connection between their internal development networks and our cloud-based virtual testing environments. You will work closely with the Product Owner, Engineering Manager, and other talented Sauce Connect engineers to achieve excellent results and shape the future of Sauce Connect

Responsibilities:

• Lead the technical direction and architectural design of Sauce Connect, collaborating with a cross-functional team to deliver a fast, secure, and scalable tunneling solution.
• Design, develop, and own projects across the full stack, from the backend server infrastructure to the client-side application on Linux, Windows, and macOS.
• Act as a technical expert for complex, escalated customer issues, performing root cause analysis and implementing robust solutions to prevent future problems.
• Drive continuous improvements in the scale, performance, and quality of our Trusted Connection Technologies, mentoring other engineers on best practices and system health.
• Proactively identify and evaluate emerging technologies in the open-source community, presenting well-researched proposals for adoption to drive innovation and technical excellence.
• Make and defend architectural decisions based on your extensive experience, balancing trade-offs between technical debt, velocity, and long-term maintainability.

Required Skills:

• 5+ years of professional software development experience in Python or Golang, with a proven track record of designing, building, and operating complex distributed systems and high-availability online services at scale.
• Experience in working with CI/CD tools (designing and implementing robust, automated pipelines using tools like GitHub Actions, GitLab CI, or Jenkins)
• Advanced experience with tunneling, proxy, or VPN-related solutions, with a understanding of their security implications and performance characteristics.
• Deep knowledge of TCP/IP networking, HTTP2, SSL/TLS, and WebSockets. You should be able to debug network issues at the packet level.
• Hands-on experience deploying and managing containerized applications at scale using Kubernetes.
• Demonstrable product development experience, including the ability to influence product strategy and make technical trade-offs to deliver customer-facing value.
• Exceptional ownership mentality and a passion for crafting elegant, well-architected products that deliver stellar user experiences.

Nice to Haves:

• Experience with asynchronous programming
• Experience building and consuming microservices
• Knowledge and understanding of data structures, algorithms, distributed systems, and design patterns.
• Familiarity with modern monitoring systems (e.g., Prometheus or OpenTelemetry)
• Understanding of common security practices involved in protecting customer data

We are a hybrid workplace that recognizes the importance of flexibility while valuing in-person collaboration and relationship building. As a result, Saucers located near an office location must be able and willing to come into the office. Those hired remotely must be able and willing to travel to an office as required by the specific role.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

DIRECTOR – EUROPEAN GOVERNMENT OPERATIONS

As the Director – European Government Operations, based in Munich/ Berlin, Germany, you will lead Rocket Lab’s government affairs strategy across Germany with targeted engagement in priority European markets as the company’s regional footprint evolves. You will play a critical role in advancing Rocket Lab’s business objectives by shaping policy environments, building strategic government relationships, and ensuring alignment between Government Affairs and Business Development. In this role, you will work at the intersection of aerospace innovation, national security, and European public-sector engagement. To be successful, you must be results‑oriented, proactive, politically astute, and deeply comfortable operating in complex, fast‑moving environments. Join a driven team of pioneers relentlessly tackling challenging projects, delivering on the impossible, and making an impact on the future of space.

WHAT YOU’LL GET TO DO

• Develop and lead Rocket Lab’s government affairs strategy in Germany, with targeted engagement in priority European markets as this area of interest develops, ensuring alignment with corporate priorities and business development objectives
• Engage with EU‑level institutions and programs relevant to space and defense, including EDF, EDIP, EUSPA, and the European Defense Agency (EDA), to advance Rocket Lab’s policy and program objectives.
• Establish and grow Rocket Lab’s presence with government entities and innovation ecosystems in Munich and other strategic European hubs
• Partner closely with the Business Development team to support market expansion, customer engagement, and pursuit of government‑funded programs
• Shape Rocket Lab’s positioning in active European policy debates - including launch sovereignty, the European Defense Industrial Program (EDIP), dual‑use technology regulation, and the EU Space Program’s procurement frame works.
• Provide strategic guidance on developments directly relevant to Rocket Lab’s position as a non‑European supplier - including export control regimes (ITAR/EAR), European sovereign capability debates, and evolving defense procurement preferences under the Zeitenwende.
• Represent Rocket Lab in industry associations, working groups, and public‑sector forums to strengthen the company’s visibility and credibility
• Drive measurable business outcomes through targeted government engagement not only monitoring policy trends but actively shaping them
• Serve as a trusted advisor to senior leadership on European political dynamics, defense priorities, and government procurement pathways

YOU’LL BRING THESE QUALIFICATIONS

• Bachelor’s degree in political science, international relations, public policy, law, economics, engineering, or a related field
• 12+ years of experience in government affairs, public policy, defense, aerospace, or related strategic roles within Germany or Europe
• Professional fluency in German and English
• Demonstrated success building and managing relationships with senior government officials, policymakers, and public‑sector institutions
• Proven ability to drive business‑aligned outcomes through government engagement, not solely policy monitoring
• Strong understanding of European political structures, defense priorities, civil space programs, and procurement processes - including familiarity with ESA programs, EU space initiatives, and international exploration frameworks such as Artemis.
• Familiarity with NATO space and defense structures - including NATO DIANA, the NATO Space Centre at Ramstein, and national resilience frameworks under Article 3 obligations.
• Demonstrated ability to operate autonomously, set strategy, and execute in a fast‑paced, high‑growth environment
• Exceptional communication, negotiation, and stakeholder‑management skills

THESE QUALIFICATIONS WOULD BE NICE TO HAVE

• Background in space, aerospace, defense, or dual‑use technology sectors
• Experience working with or within institutions such as DLR, MOD, Bundestag committees, EU defense bodies, or national innovation agencies
• Prior roles in business development, defense industrial policy, or public‑sector consulting
• Experience working in Munich’s government, defense, or technology ecosystem

We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems.  Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.

Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. 

Responsibilities:

• Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
• Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
• This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
• Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
• Navigate competitive objection handling
• Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
• Create assets to explain features of our quantum applications and other IonQ quantum products.
• Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
• Lead client discovery sessions for business-oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
• Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
• Attend industry conferences, as needed, to talk to client and support our booth activities.
• Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
• This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always come first.

You’d be a good fit with:

• 5 years of experience in technical customer-facing roles or equivalent capacity.  The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
• Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
• Motivated learner with a strong interest in quantum computing.

You’d be a great fit with: 

• Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
• Time on the customer side in various verticals included leadership roles - this provides customer empathy
• Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
• Proficient in Python and Jupyter Notebooks.
• Expert architecture skills across various technologies (“full stack skills”)
• Experience leading technical events.

Location: Germany 
Travel: 20% travel domestically and globally
Job ID:  1403

Location: Germany
Travel: Up to 20%
Job ID: 1571

The Role:

IonQ is seeking a driven Quantum Sales Executive to lead growth in Germany and the broader European market. As a pivotal member of our cross-functional team, you will have the unique opportunity to drive IonQ's mission of developing the world’s most advanced quantum computers. Our cutting-edge technology is designed to tackle some of the most challenging and significant problems facing the world today. 

This role sits at the forefront of category creation, bringing IonQ’s platform offering (quantum hardware, networking, software, and applications) to hyperscalers, neo-cloud providers, AI labs, HPC centers, and government organizations.  

You will operate in complex, multi-stakeholder environments, driving high-value, technically sophisticated deals while helping customers understand and adopt next-generation computing architectures. This is a rare opportunity to shape an entirely new market while delivering meaningful revenue impact. 

Responsibilities:  

New Market Creation & Strategic Sales 

• Identify, develop, and progress a robust pipeline of commercial and government opportunities for IonQ’s innovative products and services. 
• Craft tailored customer proposals that adhere to specific customer and regional requirements, with a particular focus on the DACH countries 
• Act as a category creator, educating customers on the value of quantum 
• acceleration beyond traditional compute (CPU/GPU) paradigms 
• Drive double-digit million-dollar/euro annual bookings 
• Build and own executive relationships with CTOs,, Infrastructure Leaders, and Research Organizations 
• Engage with hyperscalers, neo-cloud providers, AI labs, national labs, and government agencies 
• Negotiate and finalize agreements, fostering long-term business relationships.
• Position IonQ as a strategic partner in next-generation compute and secure infrastructure 

Complex Deal Execution

• Own the full sales lifecycle: 
• Opportunity identification and qualification 
• Technical discovery and architectural alignment 
• Proposal development (including RFPs and government tenders)
• Negotiation and contract execution 
• Navigate CAPEX-heavy, multi-year, multi-stakeholder deals ($10M+) 

Technical Solution Selling 

• Drive adoption of: 
• Hybrid quantum-classical architectures integrated into AI and HPC environments 
• Quantum networking solutions, including quantum-safe communications (PQC, QKD) 
• Translate complex technical concepts into clear business value 

Cross-Functional Leadership 

• Partner with Product, Engineering, and Customer Success to deliver successful outcomes 
• Influence internal strategy based on customer needs and market signals 
• Contribute to long-term GTM strategy and future team build-out 

Requirements: 

• 10+ years of experience in enterprise sales or business development within complex, high-tech environments 
• Proven track record of closing $10M+ deals involving infrastructure, hardware, or advanced technology solutions 
• Demonstrated ability to open new markets and sell emerging technologies 
• Exceptional relationship management and business acumen.
• A proven track record of meeting or exceeding sales goals. 
• Strong negotiation skills and experience in closing complex deals. 
• Experience collaborating with governments, national labs, and tech companies.
  
  

Preferred Qualifications: 

• Existing executive relationships across: 
• Hyperscalers (AWS, Azure, GCP, OCI) 
• Neocloud providers (e.g., CoreWeave) 
• AI labs (e.g., OpenAI, Anthropic, xAI) 
• Understanding of: 
• Quantum computing fundamentals (QAOA, VQE, etc.) 
• AI scaling challenges and infrastructure bottlenecks 
• Quantum-safe networking (PQC, QKD) 
• Experience selling to government, defense, or national research organizations 
• STEM background (Engineering, Physics, Computer Science, Math) 
• Fluency in German and familiarity with DACH markets 

What Success Looks Like 

• Establish IonQ as a trusted partner in next-generation compute infrastructure 
• Build a robust pipeline of strategic, high-value opportunities 
• Successfully close complex, multi-million-dollar deals 
• Lay the foundation for new market expansion and future team growth

The total compensation package includes base, bonus, and equity.

An overview of this role

This position is 100% remote and will be based in the United Kingdom, Ireland, Germany, and/or Netherlands. 

GitLab is looking for an enthusiastic and strategic Business Development Representative (BDR) to join our growing Sales team. As a BDR at GitLab, you get the opportunity to lead the initial outreach to targeted Enterprise and Mid Market accounts working in conjunction with the Field and Digital Marketing teams as well as the Sales and Customer Success teams. In this role you'll leverage creative marketing and sales tactics to prospect and engage with multiple buyer personas and roles to introduce GitLab's value. You'll be responsible for generating qualified meetings and pipeline for GitLab's Sales organization.

Our BDRs come from a diverse background. Many have worked in closing roles previously or managed teams.

We have an extensive onboarding and training program at GitLab and you'll be provided with necessary DevOps and GitLab knowledge to fulfill your role.

What you’ll do

• Execute outbound prospecting initiatives to generate qualified meetings and pipeline in your assigned territory.
• Conduct high-level discovery conversations with target accounts to understand business needs, qualify opportunities, and create Sales Accepted Opportunities (SAOs).
• Meet or exceed monthly and quarterly BDR-sourced Sales Accepted Opportunity (SAO) targets by consistently converting qualified prospects into opportunities.
• Research and prioritize target accounts using business and industry knowledge to identify key players, uncover compelling events, and develop tailored outreach strategies.
• Execute a multi-touch outreach cadence (call, email, social, etc.) to all prospects in your assigned territory using Outreach.io to maximize engagement and conversion rates.
• Manage, track, and accurately report all prospecting activities and pipeline in Salesforce to provide clear visibility into performance and forecast.
• Collaborate with Field, Corporate, and Digital Marketing, Sales, and Customer Success teams to build targeted account lists, campaigns, and call strategies, and attend regional marketing events to engage participants, generate leads, and drive qualified Sales Accepted Opportunities (SAOs).
• Document and continuously improve Business Development Representative processes in the GitLab handbook, in partnership with your Business Development Manager, and mentor new BDR hires to help them ramp quickly and navigate key accounts.

What you’ll bring

• Positive and energetic phone skills, excellent listening skills, strong writing skills
• Meet or exceed daily, weekly, and monthly KPIs
• Proven experience taking initiative and independently driving projects or activities through to successful outcomes
• Alignment with our values and working in accordance with those values
• Knowledge of business process, roles, and organizational structure
• Demonstrated persistence in pursuing goals, learning from setbacks, and continuously improving to achieve strong results
• Passion about being a part of GitLab's journey
• Proficiency in using Salesforce and LinkedIn Sales Navigator
• Previous tech industry experience or experience in sales development, marketing, or sales is a plus
• Proficiency in English, our company language, is required for effective communication

About the team

As part of GitLab's growing Sales team, you will work closely with the Field and Digital Marketing teams, as well as the Sales and Customer Success teams. Our BDRs come from diverse backgrounds, and we provide extensive onboarding and training so you have the DevOps and GitLab knowledge you need to succeed.

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.

The Role and The Team 

Join our Product team as Commercial Strategy Manager, reporting directly to the VP of Product. In this individual contributor role, you will own the end-to-end pricing, packaging, and commercial launch strategy for the Lucanet multi-solution platform, ensuring pricing structures are grounded in market research, validated through customer interviews and structured pilots, and aligned with the company's transition to AI-native capabilities.

Please note: You must reside in Germany to be considered for this role.

What You'll Do

• Design and own the pricing architecture for the multi-solution platform, including value-metric frameworks, AI-capability tiering, per-solution and bundled packaging models, and usage-based commercial structures
• Conduct annual pricing reviews for established products and services, recommending adjustments based on competitive intelligence and partner pricing trends
• Conduct ongoing market research including competitor pricing analysis, willingness-to-pay interviews, customer segmentation studies, and benchmarking to inform pricing decisions
• Validate pricing and packaging hypotheses through structured pilot programmes, controlled regional rollouts, and win/loss analysis
• Partner with Product Heads to ensure pricing reflects product value, roadmap evolution, and competitive positioning
• Co-own commercial readiness for new product launches, collaborating with Solutions Marketing and GTM leadership on target segments, positioning, launch sequencing, and sales enablement
• Work closely with the GTM organisation to ensure pricing is operationally executable, well-communicated, and supported by enablement materials
• Support the deal desk team in devising discount governance frameworks and analysing tactical promotional initiatives
• Build business cases with scenario modelling to quantify revenue impact and risk
• Organise and lead internal pricing review sessions to align the Executive Leadership Team on pricing strategy

What We're Looking For

• 5+ years of experience in software pricing or monetisation strategy at a B2B enterprise SaaS company
• Demonstrated experience pricing AI-powered products or multi-solution platform offerings
• Strong analytical skills with hands-on experience in pricing research methodologies and structured pilot design
• Proven track record of translating insights into commercially validated pricing decisions
• Experience working within a Product organisation with a strong understanding of product development lifecycles
• Excellent cross-functional stakeholder management skills with the ability to influence across Product, GTM, and Finance
• Familiarity with usage-based or consumption-based pricing models
• Experience with enterprise financial software, CPM, or regulatory reporting solutions is a strong plus
• MBA or advanced degree in economics, business, or a quantitative discipline is preferred but not required
• Fluent in English and German

To be considered for this role, candidates must have the legal right to work in Germany and must reside in Germany.

Benefits and Perks 

• Lucaflex – We acknowledge that every individual has different working styles and preferences. Our flexible working model allows you to plan your working hours and location according to your needs and professional responsibilities. 

• Work from abroad  – Sometimes a change of scenery can boost creativity and productivity, you can work up to 90 workdays outside your home country with the support from our partner Workflex. 

• Team spirit – We value teamwork and celebrate our achievements. That’s why we take many opportunities to get together, learn together, and cherish our successes together. 

• Learning & Development – We encourage you to shape your own development with the support of dedicated time, resources, and budget provided by us. 

• Lucanet Engage – Our feedback process is designed to support your personal and professional development in a targeted manner through regular dialogue. 

• Lucanet Do Good – As a company we want to give back and support you in taking the time to do some good, individually or as a team, with paid volunteer time. 

• Health & Wellbeing – Your overall wellbeing is important to us, which is why we offer tailored health and wellbeing programs, including company-wide initiatives, subsidies for sports activities, and mental health support through our external partners. 

• Generous leave policy – We encourage you to take time off to relax, travel, and recharge. 

• Compensation – We are committed to equal pay and to supporting your future by offering an attractive salary package that keeps your growth in focus. 

• Discounts – Enjoy a whole bunch of discounts from our external corporate benefits partner.  

Who we are

The role

The day-to-day

• Lead and execute initiatives in hardware and software integration to develop new systems within customer solutions

• Develop and maintain essential test and verification documents, ensuring the highest standards of quality and accuracy

• Offer expertise on the integration of systems within a multidisciplinary environment

• Recommend designs, as well as innovative, scalable, and adaptive systems and solutions

• Advise stakeholders and recommend solutions to complex problems by leveraging expertise in various technologies

• Identify and address system vulnerabilities, driving improvements through professional insight and problem-solving skills

You should apply if you

• Have 3 years of experience in the field of system integration or a comparable area

• Hold a completed degree in Telecommunications Engineering, Electrical Engineering, Computer Science, Mechanical Engineering, or a related field

• Possess experience in the domain of defence and/or security-related systems is a plus

• Exhibit strong teamwork skills, resilience, independence, and a high level of self-motivation

• Are proficient in analyzing and resolving problems, addressing weaknesses, and managing dependencies

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

#LI-DNI

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

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. 

Brief summary of role:

The Customer Success Manager (CSM) is responsible for driving adoption, satisfaction, and retention across a portfolio of mid-market and enterprise commercial OpenSpace customers.  This role ensures customers realize and achieve value from the OpenSpace platform through effective onboarding, ongoing enablement, proactive communication, and consistent adoption support.  CSMs build strong working relationships with project and departmental stakeholders, monitor customer health, and escalate risks or expansion opportunities to account teams.  This role focuses on tactical execution, training, and day-to-day partnership to encourage sustained usage and successful business outcomes.

What you’ll be doing:

• Serve as the primary post-sales point of contact for a portfolio of mid-market and enterprise accounts.
• Build and maintain strong working relationships with operational and project-level stakeholders.
• Deliver onboarding refreshers, usage reviews, and tailored training sessions to maximize time-to-value and drive sustained product engagement.
• Monitor account health and usage trends to identify risks and drive proactive customer engagement.
• Conduct discovery to understand customer workflows and recommend best practices aligned to their business goals.
• Surface expansion and retention risks to account teams.
• Support renewal processes by providing usage insights, ACV checks, documentation, and customer context.
• Maintain accurate records of customer health, activity, and opportunities using tools like Salesforce and Catalyst.  Track progress against KPIs for adoption, retention, and growth.
• Travel to customer jobsites and offices (~25%) to build stronger relationships and deliver in-person support, when needed.
• Partner with Sales, Product, and Marketing teams to deliver seamless experiences and ensure alignment on customer needs and product capabilities.

What we are looking for:

• 3+ years of experience in Customer Success, Account Management, Support, or another customer-facing role in a B2B SaaS environment.
• Experience facilitating onboarding, training, or engagement programs with customers.
• Bachelor’s degree preferred or equivalent experience.
• Construction industry experience is strongly preferred.
• Ability to manage a book of business totaling $5M+ across 30-100+ accounts.
• Strong verbal and written communication skills with the ability to deliver product training effectively.
• Working knowledge of Salesforce, Catalyst, Gainsight, or other CS platforms.
• Strong customer relationship-building skills with a customer-centric mindset.
• Ability to interpret product usage data to identify adoption risks or growth opportunities.
• Strong collaboration skills and willingness to work cross-functionally.
• Problem-solving mindset with the ability to troubleshoot customer issues independently.
• This role requires the ability to travel. The average travel requirements of this role are up to 25%.

Why join us:

• Join one of OpenSpace’s best performing teams and lead growth in a priority European market
• Category defining product with clear customer value and strong references
• Competitive compensation including base salary, variable componet and benefits
• Strong collaboration across Sales, Marketing, Customer Success and Product

Most engineers build. Some engineers shape what gets built.

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Tesla, and NASA. But to change how the world creates, we need more than just R&D; we need people who can bridge the gap between engineering and business.

If you’re studying STEM and wondering how your skills translate into the real world beyond the lab, there’s a path you might not have explored yet: Technical Sales.

For our next phase of growth, we’re building an exceptional, tech-savvy Direct Sales Team in Berlin to solve real-world problems for our customers. If you’re ready to shape the future of fabrication, come build it with us.

Watch this video to learn more about our powerful 3D printing ecosystem from our Chief Revenue Officer, Nick Graham:

Watch this video to learn more about Sydney Fenner's experience on the Technical Sales Team:

The role: 

• Consult & Solve: Understand customer demand to effectively sell cutting-edge additive manufacturing technology using a solution-oriented approach.
• Own the Pipeline: Identify leads and follow up on inbound inquiries via phone and email.
• Train & Educate: Become a knowledgeable champion of Formlabs technology through hands-on training with our products.
• Build Relationships: Coordinate regular touch points with industry leaders to align our technology with their sales growth.
• Represent: Be the face of Formlabs at trade shows and onsite customer events, where our products are on the cutting-edge of additive manufacturing.

About You:

• Education: Graduating with a bachelor’s or master’s in a STEM field
• Availability: Are eager to secure your offer now for a full-time start date in October 2026
• Languages: Speak C1+ English plus one of the following: German, Spanish, Italian, French.
• Mindset: Naturally curious, results-oriented, and able to handle rejection with a focus on learning and adapting.
• Communication: Relationship-builder who thrives in a team environment but is capable of working independently to drive results. 

Our Perks: 

• Robust equity program to build future wealth through RSUs
• Catered on-site lunches (3x per week), snacks, beverages, & treats
• Many opt-in culture events across our diverse community
• Monthly 59.85 EUR mobility subsidy (incl. BVG Firmenticket & Swapfiets)
• Supplementary, opt-in German pension scheme
• Wellness benefits including weekly yoga classes, Urban Sports Club discount, and free mental health & well-being sessions with an external partner
• And of course… unlimited 3D prints

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at  privacy@formlabs.com.