About the role 

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. 

What you'll be doing 

• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions 

• Advise on key product development strategy decisions to drive our Live product experience 

• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health 

• Develop necessary data pipelines to power automation, validation and reporting 

• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests 

• Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform 

• Providing feedback directly to leadership on performance of various initiatives and untapped opportunities 

We're excited if you have 

• 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 

• 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred 

• Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis 

• Demonstrated ability to influence quantitatively meaningful business outcomes 

• Hands on experience with visualization tools like Tableau or Looker 

• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment 

• Hands on experience in A/B testing and statistical modeling/forecasting 

This role can be based in either Cambridge, or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role

#LI-ST1

About the role 

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting our Viewer Product team. In this role, you will leverage data analytics to support and improve our Live product. You will own end-to-end analytics that shape how viewers discover, engage with, and return to Live experiences on Roku. You will work closely with product management and engineering to identify opportunities to create new features, drive their adoption, and generate value for Roku. This individual will investigate and develop solutions to track, monitor and improve our ecosystem. The successful candidate is quantitatively driven, detail-focused, and possesses an elevated level of problem-solving expertise. 

What you'll be doing 

• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions 

• Advise on key product development strategy decisions to drive our Live product experience 

• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health 

• Develop necessary data pipelines to power automation, validation and reporting 

• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute A/B tests 

• Perform exploratory data analysis on emerging trends and execute advanced analysis across the Roku Platform 

• Providing feedback directly to leadership on performance of various initiatives and untapped opportunities 

We're excited if you have 

• 4+ years of work experience with a bachelor's degree or master's degree in quantitative field (e.g., Statistics, Business Analytics, Data Science, Mathematics, Economics, Engineering or Computer Science) 

• 4+ years of experience in product analytics. Experience with platforms in the media and entertainment industry preferred 

• Expertise in SQL, SAS, R, Python or other programming language to query data and perform analysis 

• Demonstrated ability to influence quantitatively meaningful business outcomes 

• Hands on experience with visualization tools like Tableau or Looker 

• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment 

• Hands on experience in A/B testing and statistical modeling/forecasting 

This role can be based in either Cambridge, or Manchester. You are required to work in the office for 4 days per week, this is the core requirement of the role

#LI-ST1

About the role

This is a pivotal design role and a crucial partner to the Game Director on one of our R&D game projects. You will play a key role in shaping the game and design vision for a new game concept, from prototyping through production and launch. You will also mentor and nurture the growth of a talented team of game designers, fostering a culture of creativity and excellence.

What you'll achieve

• Carry the product vision and guide the team’s major design decisions, with an emphasis on systems, economy, and game balance.

• Drive discussion and alignment on the team as the game navigates through complex and ambiguous design challenges. 

• Architect systems that meet product goals and give us strong conviction in the commercial viability of the game.

• Ensure that the team’s design decisions are well-connected to product goals and player motivations, and that these are clearly articulated.

• Help build and mentor a highly effective and engaged design team that pushes themselves and one another to their fullest potential.

• Share your knowledge and learnings as an expert on the game’s design, target audience, genre, and opportunity space with the broader product organization beyond the game team, to advance our collective knowledge.

What you'll need to be successful 

• A holistic view of game systems, including the downstream effects of design decisions throughout both the product and player lifecycle, coupled with a strong understanding of fundamental design principles, metagame systems, game economies, and player psychology, to design from first principles.

• You will demonstrate deep insights and nuanced views on key differentiators, challenges, and opportunities within the game's design space.

• Strong ability to connect design decisions with product goals and player motivations, ensuring alignment and coherence in the overall game design. 

• Ability to partner with designers and product managers, and cross-functional groups including engineering, art, and production. 

• Ability to synthesize feedback from team members, user playtests, and other validation efforts into product insights and rapidly iterate on designs.

• Ability to articulate the nuances of abstract concepts and how they apply to complex, interrelated systems.

• A well-structured communication style that allows for clear and effective articulation of design ideas and concepts.

• Extensive knowledge of games as a service and live operations – you know what good looks like and can build efficient design processes, workflows, and tooling to enable it.  

• Enthusiasm for mentoring and elevating the people around you to do their best work.  

• A natural curiosity and eagerness to learn - we believe this is essential to our ability to stay ahead of the market and value this over years of experience.

We expect senior talent to continue being students of their craft and the game spaces they’re working in. You should be educated on the latest trends and have a strong perspective on how they relate to our current and future projects.

About the role

This is a pivotal design role and a crucial partner to the Game Director on one of our R&D game projects. You will play a key role in shaping the game and design vision for a new game concept, from prototyping through production and launch. You will also mentor and nurture the growth of a talented team of game designers, fostering a culture of creativity and excellence.

What you'll achieve 

• Carry the product vision and guide the team’s major design decisions, with an emphasis on systems, economy, and game balance.

• Drive discussion and alignment on the team as the game navigates through complex and ambiguous design challenges. 

• Architect systems that meet product goals and give us strong conviction in the commercial viability of the game.

• Ensure that the team’s design decisions are well-connected to product goals and player motivations, and that these are clearly articulated.

• Help build and mentor a highly effective and engaged design team that pushes themselves and one another to their fullest potential.

• Share your knowledge and learnings as an expert on the game’s design, target audience, genre, and opportunity space with the broader product organization beyond the game team, to advance our collective knowledge.

What you'll need to be successful

• A holistic view of game systems, including the downstream effects of design decisions throughout both the product and player lifecycle, coupled with a strong understanding of fundamental design principles, metagame systems, game economies, and player psychology, to design from first principles.

• You will demonstrate deep insights and nuanced views on key differentiators, challenges, and opportunities within the game's design space.

• Strong ability to connect design decisions with product goals and player motivations, ensuring alignment and coherence in the overall game design. 

• Ability to partner with designers and product managers, and cross-functional groups including engineering, art, and production. 

• Ability to synthesize feedback from team members, user playtests, and other validation efforts into product insights and rapidly iterate on designs.

• Ability to articulate the nuances of abstract concepts and how they apply to complex, interrelated systems.

• A well-structured communication style that allows for clear and effective articulation of design ideas and concepts.

• Extensive knowledge of games as a service and live operations – you know what good looks like and can build efficient design processes, workflows, and tooling to enable it.  

• Enthusiasm for mentoring and elevating the people around you to do their best work.  

• A natural curiosity and eagerness to learn - we believe this is essential to our ability to stay ahead of the market and value this over years of experience.

We expect senior talent to continue being students of their craft and the game spaces they’re working in. You should be educated on the latest trends and have a strong perspective on how they relate to our current and future projects.

About PlayStation Game Analytics

In Games and Publishing Analytics, we work with some of the most legendary studios in the world, supporting teams behind PlayStation franchises such as Uncharted, The Last of Us, Ghost of Yotei, God of War, and Helldivers 2. We provide end-to-end analytics for PlayStation Studios, helping teams understand players, evaluate game systems, and make data-informed decisions from early development through launch.

We're looking for a Senior Game Data Analyst who brings strong analytical fundamentals, game curiosity, and the judgment to turn messy questions into practical insight.

What you will be doing

As a Senior Game Data Analyst, you'll partner with game teams and publishing stakeholders to answer complex questions about player behavior, feature performance, commercial outcomes, and long-term game health.

You will:

• Lead analysis across player behavior, feature and content performance, monetization, and overall game health.

• Turn ambiguous design, product, and publishing questions into clear analytical plans and recommendations.

• Develop proxy metrics for player-experience goals such as pacing, challenge, friction, agency, and build diversity.

• Combine telemetry, playtests, surveys, sentiment, and product context to evaluate whether features are landing as intended.

• Apply judgment to imperfect evidence, including small samples, pre-launch tests, incomplete telemetry, noisy signals, and bias.

• Support commercial questions around launch, acquisition, segmentation, campaigns, and franchise health.

• Build dashboards and analytical frameworks that support consistent decision-making.

• Communicate insights clearly across design, product, publishing, research, engineering, data science, and leadership.

What we are looking for

• Strong SQL skills and experience working with large behavioral datasets, especially event-level gameplay data.

• Strong exploratory analysis skills and the ability to turn raw gameplay data into clear insight.

• Experience analyzing player behavior and game systems, including progression, combat, economy, difficulty, matchmaking, feature adoption, engagement, retention, or segmentation.

• Experience partnering directly with designers, producers, product managers, researchers, engineers, or game leadership.

• Ability to distinguish between similar-looking behavioral signals, such as challenge versus frustration, friction versus intentional difficulty, novelty versus durable engagement, or confusion versus experimentation.

• Strong communication skills, with the ability to explain what the data supports, what remains uncertain, and what teams should do next.

• A background in statistics, mathematics, economics, computer science, or another applied quantitative discipline.

Domain Experience

• 4+ years of analytics experience in the games industry, ideally supporting game development, live operations, player behavior analysis, feature evaluation, or gameplay systems.

• 2+ years of experience working on a shipped game, live service game, or game team operating through rapid development cycles such as playtests, launch, live events, or content releases.

• Familiarity with the realities of game development, including changing priorities, incomplete information, telemetry gaps, cross-functional dependencies, and decisions that cannot wait for perfect data.

Bonus Points if You Have

• Experience with Python, R, or statistical tooling for experimentation, causal inference, metric validation, forecasting, or behavioral modeling.

• Experience with Looker, Power BI, MicroStrategy, Tableau, or another BI tool with a semantic layer.

• Familiarity with Git or other reproducible analysis workflows.

• Experience across live service or games with complex progression, economy, combat, content, or social systems.

• Familiarity with publishing or commercial analytics, including acquisition, launch performance, campaign impact, monetization, forecasting, or franchise health.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

Our Editorial Team

Stripe’s Editorial team is premised on two notions: that ideas are essential ingredients in fueling economic progress; and that many of the best ideas are under valued. Works in Progress, our magazine of underrated schemes to improve the world, recently branched out into print subscriptions. Stripe Press, our in-house imprint canonizes ideas for Progress—new and old—in beautiful editions. The team recently celebrated one million books sold.

One consequence of building infrastructure at Stripe’s scale is that we see the economy forming in real time. New categories appear before they have names. New business models take shape quietly, then suddenly feel inevitable. Patterns emerge in how people build, sell, hire, and get paid. These signals matter — and sharing them helps policymakers, business leaders, media and the public better understand where the economy is headed.

What you’ll do

We are looking for an entrepreneurial, analytical, curious data writer and editor to join Stripe’s editorial team. In this role, you will partner closely with Stripe’s chief economist to explore datasets that cover millions of companies and trillions of dollars of transactions, and uncover macroeconomic trends, industry shifts, and pockets of innovation. You’ll turn them into enthralling writing for internet audiences including startup founders, other business leaders, policymakers, and media. You’ll distribute your stories across lots of channels, including new ones you’ll run (e.g. Substack), traditional media, social media (you’ll probably tweet a lot yourself), and keynotes delivered by our founders. You'll use LLMs and other AI tools to rapidly prototype analysis, writing, and visuals. 

Responsibilities

• Work with Stripe’s data science team to find and interpret signals in Stripe’s data that illuminate emerging trends, new categories, and structural shifts in the global economy.
• Scour publicly available macroeconomic data to weave into stories about trends we’re seeing on Stripe.
• Own data stories end-to-end — from forming the hypothesis, to exploring and analyzing data, to shaping the narrative, visualization, and final content, all partnering closely with our head of economic research.
• Turn complex datasets into clear, elegant visualizations that make ideas legible and persuasive.
• Publish original data-driven editorial, and help ensure the strongest ideas travel — through social, press, partnerships, and speaking platforms.
• Run Stripe Economics, and launch other new editorial channels (e.g. Substack, Twitter) to disseminate data stories and build online communities around them.
• Work closely with the Economics, Data Science, and Policy teams at Stripe to refine questions, validate findings, and uphold a high bar for rigor.
• Collaborate with external researchers, academics, and journalists to extend the reach and impact of Stripe’s economic insights.

Who You Are

You're highly entrepreneurial, enjoying devising and launching new ideas, and relentlessly improving what we already do. You have a knack for turning raw data into a clear insight, a memorable chart, and a story people want to read. You bring taste, curiosity, and a strong editorial point of view, alongside the technical ability to work with data. You have a journalist's instincts — drawn to early signals, skeptical of easy narratives, and motivated by explaining not just what is happening, but why it matters. You care about craft, write well, and enjoy working across disciplines to turn complex systems into clear, rigorous stories.

Minimum requirements

• Experience working with large datasets and producing accurate, public-facing analysis.
• 5 years of experience publishing original work (e.g. running a Substack/newsletter, or writing within a newsroom or media organization).
• Exceptional writer across short and long formats. 

Preferred qualifications

• Experience with data science tools e.g. R, python, or equivalent.
• A strong and proven editorial point of view.
• Experience in a fast-paced newsroom or editorial environment.
• Deeply engaged with online discourse, with an established presence on social media or track record of building an audience for your writing.
• Experience creating data visualizations for publication.
• A track record of developing new and creative content formats.
• Experience leading projects and partnering closely with cross-functional teams.

Your Role

We’re looking for a Lead Data Scientist to join our Global Football Metrics data science team, which is focused on delivering innovative machine learning models to keep Hudl at the cutting edge of sports analytics.

As a Lead Data Scientist, your key responsibilities will include:

• Work with a cross-functional team. You’ll collaborate with Engineering, Quality Assurance, Product, Design and Scrum disciplines to deliver cutting-edge tactical and recruitment insights.
• Develop and deliver. You will have access to industry-leading data from a variety of sources, and will lead the research and development roadmap for new Global Football models and metrics.
• Test new ideas. At Hudl, we iterate rapidly, deploying changes to the product hundreds of times daily across our Engineering team. In addition to working on concrete metrics, you’ll contribute to the implementation of scalable data pipelines and associated orchestration and monitoring tools.
• Mentor. You’ll share your expertise and educate others on development best practices and trade-offs, setting an example in planning, designing and delivering complex projects, and maintaining high standards of statistical rigour.

We’d like to hire someone for this role who lives near our office in London, but we’re also open to remote candidates. Remote candidates would have the ability to work from a co-working space or their home.

Must-Haves

• Technical expertise. You have a strong background in a quantitative discipline, and proven experience implementing statistical and machine learning models for statistical inference in complex systems.
• A team player. You understand that problem-solving is a team effort and will help others on our Engineering team learn and develop their skills.
• User-focused. You’re excited to have your work used by real people to solve real problems.
• Willing to learn. You have solid engineering skills but are always willing to dive into specific areas to gain the expertise needed to be successful in your role.

Nice-to-Haves

• Sports industry experience. If you’ve worked with event or tracking data previously, that’s a plus.
• Tech stack knowledge. Our tech stack is Python, PostgreSQL and Redshift. We will consider strong candidates with experience of R or Stan, but prefer those with more full stack skills and capable of writing production code.

Our Role 

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas.
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech you need to do your best work.
• Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees—but no matter where you’re located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health.

Compensation

As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
• Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
• Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
• Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
• Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
• Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
• Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

Role overview:

Reporting to the group Technical Director, the Audio Programmer will provide tool development and technical system design & implementation for PlayStation Studios audio tools and technology department. Working across an array of PlayStation Studios interactive titles, the role will involve game code, middleware and plugin development along with offline tool development. It will also mean interfacing with multiple teams such as R&D, platform, game teams, QA and more across the globe.

What you’ll be doing: 

• Design of audio tools for sound design and music team.
• Process tools to drive automated build systems.
• Audio processing plugins for audio engines.
• Linking of game systems to audio engine.
• Linking game system authoring tools to sound design tools.
• Complex new audio engine features.
• Driving the planning, documenting and implementing all relevant audio systems in collaboration with other members of the audio programming team.
• Supporting the sound design and music production team in tooling requests and game debugging.
• Ensure code developed runs in an efficient manner and is bug free.
• Debugging code such that it is release ready.
• Providing packaged releases of audio systems.
• Taking responsibility of overall audio tech delivery on a shipping game title.
• Updating and maintenance of audio middleware

What we are looking for:

• Minimum 3 Years production experience and 1 shipped title on console/PC
• Passionate about audio and video games
• Strong experience in C++ and object orientated/data oriented design
• Experience in C# .NET and WPF
• Strong knowledge of 3D mathematics
• Knowledge of acoustics and digital signal processing
• Experience of audio production software: Pro Tools, Sound Forge, Reaper.
• Experience of Visual Studio or other development environments

Desired:

• Knowledge of streaming systems and multithreading
• Experience of VST development
• Experience of audio middleware (FMOD, Wwise)
• Experience of graphical patching environments (PD, MAX/MSP, Reaktor)
• Experience of Unity 3D/Unreal development

Role Description:

We are looking for an independent, dedicated Machine Learning Engineer/Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 3+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

As a Data Science Manager, you will lead both people and innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. This is a hands-on leadership role blending technical depth with managerial responsibilities. You will drive cutting-edge research in experimentation methodologies while mentoring and guiding a team of data scientists. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Lead a team of data scientists focused on experimentation and causal inference; provide technical direction, career development, and mentorship.
• Drive innovation in experimentation research by developing and overseeing new methodologies and frameworks that improve the quality, speed, and scalability of experiments.
• Guide the advancement of experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analysis capabilities.
• Partner with product managers, game studios, and business leaders to identify high-impact experimentation opportunities and ensure alignment with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute directly to research and prototyping of novel experimentation techniques that address complex real-world constraints, such as user behavior variability and data limitations.
• Champion the growth of a data-driven culture by advocating for experimentation standards, ethical practices, and reproducibility.
• Represent the team’s insights, innovations, and impact across the broader data science and product communities within PlayStation.
• Stay abreast of emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve our capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 6+ years of experience in data science, including hands-on work in experimentation, with at least 2+ years in a formal people management or technical leadership role.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Role Description:

We are looking for an independent, dedicated Senior ML Engineer to join the Visual Computing Group (VCG) and contribute to redefining the world of game play and live streaming via advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency.

What you’ll be doing:

• Develop and improve core generative models for graphics and video processing for a variety of applications, such as live video streaming, game rendering, etc.
• Research and prototyping of new methods for graphics or video enhancement, and data generation pipelines from generative models
• Collaborate with team members on drafting publications and patent submissions
• Participate and assist the team in core R&D work with other teams within Sony Interactive Entertainment

What we’re looking for:

• PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post
• 5+ years of experience in demonstrable research experience in industry or academia.
• Strong background in: TensorFlow or PyTorch; Python and packages/libraries related to computer vision or graphics; evidenced by the development of advanced applications in image/video/graphics processing or computer vision (minimum of 3 years of experience for ML engineer, minimum 5 years for Senior ML engineer),
• Evidence of leading technical developments by at least 1 research publication in a top-tier conference like CVPR, ECCV, ICCV, SIGGRAPH or similar
• Solid background in one or more of the following:

(i) neural network architectures, evidenced (for example) by knowledge of how to formulate and test advanced loss functions in neural network design;

(ii) design and test of advanced convolutional, recurrent, transformer-based, diffusion-based or other neural network architectures in a task-specific manner;

(iii) some experience in training, validation and evaluation of deep neural network models on large datasets, evidenced by experience in using Python libraries like HDF5 or similar

Desired qualifications:

• Publications, e.g. in top-tier conferences and journals: IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, conferences like IEEE CVPR/ICCV/ECCV, NeurIPS, ICML, ICLR, or similar
• Some theoretical understanding of the graphics pipeline, including coordinate transformations between frames of reference, PBR materials, rasterization, lighting, and ray tracing
• Experience in image processing theory and methods, evidenced by the development of practical designs in this area
• Some experience with 3D engines such as Unreal or Unity; in particular, generation of datasets, extraction of G-buffers, motion vectors, etc.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Role Description:

We are looking for an independent, dedicated Lead or Senior Lead: Machine Learning to join the Visual Computing Group (VCG). This role contributes to redefining game play and live streaming through advanced R&D. VCG’s mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. 

Who Are You?

• You have a demonstrated ability in managing high performance research teams in the field of ML or Graphics
• You are a dynamic and visionary leader with a passion for building and leading high-performance teams.
• Your leadership style is grounded in clear communication, inspiration, and empathy.
• You possess the ability to motivate and empower your team, fostering an environment where creativity and collaboration thrive.
• A strong advocate for personal and professional growth, you ensure that every team member feels valued and heard.
• Your approach to leadership is proactive, adaptable, and driven by a deep commitment to the success of both your team and the organization.
• Experience in coaching and mentoring team members, fostering an inclusive and collaborative work environment.
• You have the courage to speak up and take smart risks
• You have strong and well-formed technical ideas that are weakly held; you can discuss, listen and participate in a passionate debate.
• You are experienced in managing team communications in a large organization

What Do You Do?

• As a Manager / Senior Manager within the Visual Computing Group, you will lead a multidisciplinary team of machine learning engineers and researchers focused on neural-assisted game rendering.
• You will be responsible for coordinating the build, prototyping, development and integration of brand new visual computing technologies into our products.
• Your role also involves managing project timelines, ensuring high-quality work, and collaborating with multi-functional teams to drive innovation.
• You will also play a key role in aligning the team’s work with the overall strategic objectives of the company, balancing the demands of ongoing projects with the need for continuous improvement and technical debt management.
• You will meet with collaborators to build partnerships and establish positive and trustworthy relationships.

What Knowledge Do You Have?

Domain Expertise:

• Extensive technical experience and track record of accomplishments within various areas including intelligent systems, visual computing, real-time graphics processing within game engines, or graphics.
• Proven track record in managing and delivering sophisticated projects within these areas.

Technical Skills:

• Proficiency in programming languages and tools relevant to visual computing (e.g., C++, Python, OpenGL, DirectX).
• Familiarity with machine learning frameworks and their application in visual computing
• Knowledge in computer vision and machine learning: advanced neural network architectures applied to image analysis and video processing (diffusion models, transformers, distribution alignment, advanced loss functions for computer vision problems)
• Knowledge in game engine rendering: knowledge of the stages of the game rendering pipeline, examples in UE5 or similar, knowledge of ray tracing or path tracing, advanced machine learning methods for global illumination, path tracing, frame interpolation and super-resolution in game rendering

Educational Background:

• A degree in Computer Science, Engineering, or a related field, or equivalent experience; advanced degrees are a plus.

Industry Knowledge:

• Up-to-date with the latest trends and technologies in one or more of: machine learning, computer vision, game engine rendering.
• Experience in the interactive entertainment industry or a related field is highly desirable.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Role overview:

Our team, PlayStation Studios' International Production & Localisation (IPL), is looking for a Senior Manager to lead our global Production and Localisation QA teams and drive excellence and innovation in the services we offer!

We partner with PlayStation Studios and external development teams, providing best-in-class localisation, production and LQA solutions that enable them to deliver outstanding games to a global audience!

Reporting into the Senior Director, International Production & Localisation, you will play an integral part in finding opportunities to drive innovation, increase operational efficiency, and further develop our core expertise in all aspects of localisation production, localisation QA, and international publishing. You will lead two critical functions - Production and LQA – driving seamless collaboration and shared excellence across teams.

What you’ll be doing:

• Lead IPL’s global Production and Localisation QA teams, ensuring they deliver high-quality work on time and on budget while achieving personal and departmental growth
• Build strong partnerships across PlayStation Studios, working closely with game creators to ensure their goals and needs are met
• Oversee multiple simultaneous projects, refining production processes and LQA methodologies whilst identifying dependencies, trade-offs and resolving risks
• Define excellence for localisation production and LQA services, establishing best practices and driving innovation across both functions, particularly around emerging technologies and automation
• Cultivate a high-performing, collaborative team culture with a focus on continuous improvement, upskilling, and shared learning
• Navigate organisational change as we evolve our services and capabilities, making strategic decisions to ensure alignment with business goals
• Contribute to key planning processes including budgets and operating plans, managing resource allocation and analysing data to identify optimisation opportunities
• Work across PlayStation Studios and SIE to understand needs, coordinate R&D efforts, and spearhead initiatives that strengthen our capabilities and support long-term strategic goals
• Foster cross-functional knowledge sharing, building mechanisms that drive transparency and collaboration across teams and studios
• Develop and promote the team's cultural pillars and departmental initiatives that reinforce what makes IPL a great team

What we are looking for:

• 10+ years' experience in games production or development roles with a successful track record delivering AAA titles
• Strong knowledge of both localisation production and QA, with understanding of current industry trends, emerging technologies, and automation in both subject areas
• Deep understanding of game development lifecycle, production methodologies, best practices and tools across multiple genres, platforms and business models
• Experience integrating new teams or functions into existing organisations and leading through organisational change
• Experience successfully leading, motivating and developing diverse, high performing teams across different cultures and time zones
• Excellent communication skills and ability to partner effectively across all levels of the organisation
• Strong project management skills with ability to prioritise and manage complex operational issues across multiple projects and partners
• Curiosity and aptitude for evaluating and adopting new technologies, with strong desire to optimise processes and drive continuous improvement
• Comfortable navigating ambiguity and adapting as conditions change in fast-paced environments
• Passion for games with extensive knowledge of the gaming market and good commercial acumen
• Experience managing external development projects and/or working on live service titles advantageous 

Benefits:

• Discretionary bonus opportunity
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

We are seeking a Senior Optical Fibre Engineer to develop and evaluate advanced optical fibre for high-performance optical systems. This role combines optical modelling, deep understanding of advanced speciality optical fibre behaviour and design tradeoffs, and hands-on experimental validation, including the measurement and verification of key fibre properties. The successful candidate will work with internal teams with diverse technical expertise, and external partners, to translate performance requirements into practical technical direction for advanced fibre technologies. We welcome candidates from both advanced industrial photonics environments and leading research groups who combine strong physical intuition with practical experimental and engineering judgement.

Responsibilities:

• Use simulation and analytical tools to evaluate the behaviour and performance of advanced fibre designs and fibre-based optical systems.
• Assess modal properties, loss mechanisms, dispersion, coupling, and other key fibre characteristics relevant to demanding optical applications.
• Design and execute experiments to measure, verify, and interpret fibre properties and subsystem performance.
• Correlate simulation and experimental results to build understanding, validate assumptions, and guide development decisions.
• Work closely with external development partners to assess technical options, review results, and help steer fibre design and performance tradeoffs.
• Translate system or subsystem requirements into meaningful fibre performance targets and evaluation criteria.
• Collaborate across photonics, systems, and experimental teams to support integration of advanced fibre technologies into larger optical platforms.
• Contribute technical judgement to the down-selection, maturation, and validation of advanced fibre solutions

Experience/Qualifications:

Required

• PhD in photonics, optics, physics, engineering, or a related field, or equivalent industry experience.
• Significant experience in fibre optics, guided-wave photonics, or optical system development.
• Strong understanding of advanced and specialty optical fibre behaviour, including relevant modal, loss, dispersion, and coupling tradeoffs.
• Experience with optical simulation tools such as FDTD or related electromagnetic, waveguide, or propagation modelling methods.
• Ability to use simulation to guide practical design decisions and interpret behaviour in non-standard fibre systems.
• Hands-on experience designing and executing experiments to characterize optical or fibre properties.
• Experience analysing and reconciling modelling and experimental data.
• Ability to operate effectively in a hands-on R&D environment with a high degree of technical independence.
• Strong communication skills and ability to work productively with internal teams and external technical partners

Preferred

• Experience with advanced or specialty fibre platforms.
• Experience working closely with fibre development, fabrication, or research groups.
• Experience in both modelling and experimental verification of fibre or waveguide performance.
• Familiarity with demanding optical system environments where specific parameters, such as low loss take priority in trade-off scenarios.
• Experience translating early-stage optical concepts into robust experimental or engineering outcomes.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

PsiQuantum is building the world’s first fault-tolerant quantum computer, enabled by large-scale photonic integration. We are seeking an Optical Packaging & Assembly Engineer to join our UK R&D facility at Daresbury Laboratory.

In this role, you will work closely with a senior engineer to rapidly develop and prototype next-generation optical packaging solutions for photonic integrated circuits (PICs). You will collaborate across mechanical, electronic, and quantum hardware teams to enable the assembly and testing of cutting-edge optical quantum computing systems.

Responsibilities:

• Support the design and rapid prototyping of optical packaging solutions for PIC-based quantum hardware.
• Develop and implement fibre-to-chip alignment and attachment processes for high-performance optical coupling.
• Assist in the design of scalable packaging architectures, working alongside senior engineers.
• Collaborate with mechanical and electronic engineers to ensure integrated, manufacturable designs.
• Work closely with quantum physicists to support the build and testing of optical quantum systems.
• Contribute to the development of assembly workflows, processes, and documentation.
• Support component selection, procurement, and BOM development for prototype builds.
• Analyse experimental results and provide feedback to improve packaging performance and robustness.

Experience/Qualifications:

• PhD in Physics, Engineering, or a related discipline (or equivalent experience).
• Hands-on experience with optical assembly, fibre alignment, or opto-mechanical systems.
• Familiarity with photonic integrated circuits and optical packaging techniques.
• Experience working in a laboratory environment supporting experimental hardware development.
• Strong problem-solving skills and ability to work in a fast-paced R&D setting.

Desired Skills:

• Experience with fibre arrays, optical connectors, or precision alignment systems.
• Knowledge of DFM principles for optical packaging.
• Experience working in cross-functional engineering teams.
• Familiarity with optical measurement and characterization techniques.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s two Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.

Analyst – Performance & Emissions

We are seeking qualified applicants for the position of Analyst - Performance & Emissions to be based in London, UK. 

General Description:

The Analyst - Performance & Emissions will be responsible for monitoring and evaluating vessel performance against TCP warranties, using voyage reports and sensor data. Another key aspect of the role is to capture and analyze data related to VGC’s chartered Fleet’s international emission regulations and enable the day-to-day administration of emission reporting to relevant authorities.

This position will sit within the VGC Shipping Fleet Performance & Emissions Team, reporting directly to the Sr. Manager - Fleet Performance and Emissions, and will play a key role in enhancing value for VGC’s chartered fleet. Strong digital and analytical skills are essential for handling large complex data.

Key Responsibilities:

• Fleet Performance & Emissions Compliance System Development Support:Support the development of systems for monitoring, recording, and evaluating LNG fleet performance and emissions exposure.
• Regulatory Upkeep:Maintain records related to environmental regulations, ensuring data accuracy for submissions to classification societies.
• Performance Monitoring:Assist in monitoring vessel performance and highlighting underperformance against Charterparty warranties.
• Compliance Coordination:Monitor and report on emission compliance requirements, including deadlines and documentary evidence.
• Routing Evaluation:Utilize weather routing and voyage reporting services to assist in evaluating optimized ship routing.
• Analytical Support:Help develop and maintain analytical models to derive various performance and emission KPIs. In addition, there will be analytical needs from Shipping Operations, Chartering
• Platform Collaboration:Collaborate with IT on the development of a live monitoring platform for VGC chartered ships.
• Fleet Management Support:Actively support the management of the LNG carrier fleet through procedure development and software implementation.
• Stakeholder & Claims Support:Foster strong relationships with stakeholders and assist in LNG performance claims management.
• Ad-hoc Tasks:Provide supplementary support and complete tasks as requested by the line manager.

Experience & Skills

Essential

• Experience: Minimum 2+ years in Data Analytics or Data Science.
• Technical Skills: Proficient in Python, Databricks, SQL, Microsoft Power Platform, and Excel.
• Industry Knowledge: Solid understanding of the LNG supply chain, international maritime emission regulations, and LNG Time Charter Parties.
• Education: Bachelor’s degree or professional qualification in a complementary field (Data Science, Computer Science).

Advantageous

• LNG Shipping Operations: Familiarity with cargo scheduling, shipping operations, and LNG marketing.
• Maritime Tech: Experience with vessel design and technologies focused on efficiency and emissions reduction.

Soft Skills

• Data Storytelling: Translates complex findings into clear, actionable insights for any audience.
• Collaborative Partner: Bridges the gap between technical teams and stakeholders through active listening.
• Analytical Rigor: Combines critical thinking with high accuracy to validate results and challenge assumptions.
• Proactive Problem-Solver: Naturally curious; identifies patterns and takes initiative to optimize workflows.
• Project Ownership: Highly organized and accountable; manages multiple priorities in fast-paced environments.
• Adaptability: Thrives in diverse, cross-functional teams and pivots quickly as business needs evolve

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

#LI-Onsite

Position Summary:

ultradedicated – Your biggest challenges yield rare possibilities

We are seeking a highly capable and proactive Senior Finance Manager, EMEA to join our rapidly growing team in the EMEA Region. This is a critical new headcount addition that will be instrumental in stabilizing core financial controls and supporting a region expected to continue to grow its topline and investment.

Reporting to the EMEA Finance Director, the Senior Finance Manager will take ownership of essential operational and compliance duties. This role is ideal for a detail-oriented, commercially astute finance professional ready to thrive in a complex, fast-paced environment characterized by significant growth, multiple markets, new product launches (including gene therapies), and evolving partner deals.

Work Model:

Flex: This role will typically require onsite work 2-3 days each week, or more depending on business needs. In many locations, the business will set certain days each week that Flex employees are required to be onsite.
Or
Remote: Officially documented as working full-time from home, with travel to Ultragenyx's offices or other locations on occasion as needed.

Responsibilities:

• Perform detailed, day-to-day Opex tracking, variance analysis, and reporting, supporting OPEX and cost savings/productivity initiatives through transparent reporting and targeted analytics
• Provide proactive budget holder support to Commercial and Medical teams, ensuring strict adherence to budgets and financial policies
• Manage and control transactional volume related to increased headcount, vendor management, and travel/expense reporting
• Generate monthly and quarterly performance reports and review with regional, country, and department managers
• Maintain controllership of expenses, with focus on all OpEx lines directly controlled by the European entities
• Deliver monthly and quarterly results reporting, including variance analysis and corrective action plans, and recommend cost-saving initiatives to achieve financial targets
• Work closely with US-based teams to support procure-to-pay, payroll, management/statutory reporting, IT, HR, and other corporate processes
• Drive process improvement projects with corporate and regional functions to deliver cost and operational efficiencies across the region
• Support monthly and quarterly financial close processes, including preparation of accruals and detailed revenue reconciliation across multiple brands, countries, and partner deals
• Lead improvements in FP&A reporting, forecasting, and automation to enhance reliability, efficiency, and insight generation
• Act as the primary liaison for Global Accounting, Supply Chain, and Tax, supporting compliance and minimizing operational risk across the region
• Identify and implement improvements in core financial processes and utilize data analytics (Power BI, Excel) to deliver insights, scenario planning, and support senior stakeholder decision-making

Requirements:

• Minimum 5+ years of progressive experience in Finance (FP&A, Controlling, or Corporate Finance), in the biotech, pharmaceutical, or life sciences sector in a European context
• Master’s degree in finance, Accounting, Economics, or relevant field; professional qualification (CFA, ACA, ACCA, CIMA or equivalent) highly desirable
• Fluent English required; additional European language (e.g., German, French) a strong asset
• Demonstrable understanding of biotech business drivers, including revenue recognition for complex licensing/partner deals and product launch dynamics
• Strong proficiency in Opex tracking, financial analysis, and budget management
• Solid understanding of revenue recognition principles within pharmaceutical or life sciences environments
• Advanced Microsoft tools skills, including Excel and Power Query, with experience using ERP/financial planning systems and Power BI
• High attention to detail with a strong focus on compliance and financial control
• Proven ability to work cross-functionally and act as a liaison with global teams while building strong relationships
• Ability to manage high volumes of transactional activity while maintaining data integrity, alongside strong personal effectiveness (resilience, accountability, and self-motivation)

#LI-CK1 #LI-Remote

THE ROLE

As a Senior Data Analyst in NextEnergy Group’s Data & AI team you will lead geospatial analytics projects, mentor junior analysts and deliver high-impact insights across climate, nature and social themes. You will partner with the Environmental Social Governance (ESG) Team and wider business stakeholders; design and maintain robust spatial datasets; develop and manage web based GIS applications; and apply spatial analysis to support due diligence across UK and international investment portfolios. Through the establishment of standardised geospatial processes, auditable data workflows and high quality visualisations, you will strengthen the organisation’s evidence base for ESG reporting and decision making. By delivering actionable insights to stakeholders you will be supporting the company’s digital transformation and sustainability goals.

This role is central to our strategy to become a data-driven, technology-led and AI-infused enterprise.

KEY RESPONSIBILITIES

• Analytics & Insight Generation: Lead spatial and environmental analysis across ESG topics, integrating survey, CAD, consultant and public datasets to identify constraints, risks and opportunities, and translating complex geospatial data into clear, actionable insight for senior stakeholders.
• Reporting & Visualisation: Design, build and maintain dashboards, web applications and high‑quality cartographic outputs (ArcGIS Online, ESRI), ensuring spatial data is visualised clearly, accurately and in line with best‑practice data storytelling for both operational and strategic reporting.
• Mentorship & Best Practice: Champion geospatial data quality, governance and continuous improvement by managing spatial databases, standardising workflows, documenting processes and mentoring junior analysts, fostering a culture of technical excellence, knowledge sharing and continuous learning
• Data Collection & Management: Working with Data Engineering & Data Governance when relevant, own and actively manage spatial and ESG‑related datasets for analysis, ensuring data quality, integrity and compliance with GDPR and other regulation
• Process Automation: Identify opportunities to automate & transform analytics & reporting processes to improve efficiency & scalability
• Collaboration: Work closely with business stakeholders across the group to understand requirements, deliver solutions and support cross-functional projects
• Documentation & Knowledge Sharing: Consistently document geospatial methodologies, analytical workflows and outputs, producing clear guidance and process documentation to support transparency, reproducibility and effective knowledge sharing across the wider team.
• Data Quality & Governance: Support data governance initiatives by validating geospatial datasets, maintaining metadata, and ensuring compliance with internal standards and external regulatory and ESG reporting requirements.
• Continuous Improvement: Stay current with industry trends, analytics best practices & emerging technologies. Proactively suggest enhancements to processes & tools/

SKILLS & COMPETENCIES

To be successful in this role, you will demonstrate:

• Technical Excellence: Advanced proficiency in geospatial platforms (ESRI, QGIS,). Experience with SQL & Excel for data manipulation and with data visualisation tools (e.g. PowerBI). Familiarity with Python, FME and cloud data platforms (e.g. Snowflake)
• Storytelling: Confidence building a story around data insights as well as communicating this with business stakeholders in an understandable and engaging manner
• Analytical & Problem Solving: Ability to interpret complex data and generate actionable insights. Strong attention to detail and commitment to data quality
• Business Acumen: Understanding of the business processes in at least one of our data domains e.g. Asset Management, Investment Management, ESG & GIS
• Leadership & Collaboration: Proven ability to mentor junior analysts and lead cross-functional projects
• Time management & prioritization skills- things can get a little hectic, so the ability to effectively manage yourself and your workload is critical
• Excellent communication skills in English (additional European languages are a bonus) - you must be able to organize your thoughts in a way that others find clear and compelling. Translating & presenting complex technical concepts to non-technical stakeholders. You will be expected to together well-written, grammatically correct emails and other communications. When communicating verbally
• Flexibility- being an effective team player means being flexible in your approach and open to getting involved with new things, even if they are not spelt out in your job description.
• Intellectual Curiosity – we are looking for someone who is truly interested in our profession and has the intellectual curiosity to delve deep into topics and bring fresh ideas to the team.
• Delivery focus – it may sound obvious, but the ability to proactively churn through work at pace and deliver quality outputs matters
• Passion for our mission ‘to generate a more sustainable future by leading the transition to clean energy
• Our values: be a leader, build trust, be responsible, be innovative and ‘bring your alpha’.

EXPERIENCE & QUALIFICATIONS 

• Bachelor’s or Masters degree in Geography, Geographical Information Systems (GIS) or relevant environmental or technical field or alternative relevant educational achievements (e.g. apprenticeships, arts degrees + work experience)
• 4-6 years of experience in data analytics or a similar role
• Dashboard design (PowerBI & Thoughtspot), remote sensing and image processing skills in context of environmental applications and assessment desirable. 
• Experience in geospatial data management and data engineering.
• Experience with ESRI products, including ArcGIS Pro, AGOL Web Maps, Application, Dashboards, Story Boards.
• Familiarity with CAD based software (e.g. AutoCAD), Web-based GIS technologies, coding (Python, R) as well as other desktop GIS software (e.g. FME, QGIS). 
• Experience in renewables/environmental/social assessments and across development, construction and operation stages.
• The right to work in the UK or Italy

WHAT WE OFFER

• A busy role in a supportive team, with plenty of opportunities to learn
• International scope – we operate in over 8 countries
• Hybrid working 
• Competitive base salary and annual discretionary bonus.

HOW TO APPLY

If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergygroup.com. If you have been shortlisted for the next stage, we will be in contact within 14 days. 

By selecting “Apply” or sending us your CV, you indicate you have read and acknowledged NextEnergy Group’s Candidate Privacy Notice.

DIVERSITY AND INCLUSION

Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, and talent and hard work form the bedrock of who we are and who we aspire to be.

We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity.

ABOUT US

NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector.  Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions.  NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development). 

NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds.

• NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m.
• NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target.
• NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target.
• NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with ~£600m raised.
• NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling).

WiseEnergy® is NextEnergy Group’s operating asset manager.  WiseEnergy is a leading specialist operating asset manager in the solar sector.  Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW.  WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector.  

Starlight is NextEnergy Group’s development company that is active in the development phase of solar projects.  It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies. 

NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more. 

NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1.2 million, supporting over 30 projects in 27 different countries around the world.

Data & Analytics Intern – Finance | Manchester 

Join Global Finance Services, our finance shared services team, in Manchester and help transform how data drives decision-making across a global organisation.This role sits within our finance function and will support teams across Order to Cash (OTC), Procure to Pay (PTP), and Record to Report (RTR) by delivering high-quality data analysis, reporting, and insights. You’ll play a key role in helping improve data visibility, accuracy, and decision-making across the department. 

This is a hands-on role where you’ll take ownership of meaningful projects, not just support tasks. You’ll gain exposure to large, complex datasets and play a key role in improving how finance operates at scale.It is an excellent opportunity for a student looking to apply data skills in a real-world finance environment within a fast-paced, global organisation. 

What you’ll be doing 

• Collate and clean datasets from internal and external sources 

• Build and maintain reports and dashboards 

• Conduct exploratory analysis to surface trends and insights 

• Support presentation of findings to internal stakeholders 

• Document data processes and methodologies 

What you’ll gain 

• Hands-on experience working with enterprise finance systems and real-world business data  

• The opportunity to build dashboards and analysis used by finance leaders  

• Exposure to end-to-end finance operations in a global organisation  

• Experience identifying and delivering process improvements with measurable impact  

• Mentorship from experienced professionals across finance and data analytics  

• A strong foundation for a future career in data, analytics, or finance 

What we’re looking for 

• Studying towards a degree in a numerate discipline (e.g. data science, statistics, economics, computer science) 

• Proficiency in Excel; working knowledge of Python, R or SQL an advantage 

• Ability to communicate findings clearly to a non-technical audience 

• Organised, detail-oriented and comfortable working with large datasets 

About iNIZIO 

At Inizio, we're a global team driven by a shared purpose: to reimagine health. Formed in 2022 through the coming together of Ashfield and Huntsworth, we unite decades of experience with cutting-edge capabilities to deliver impactful solutions across the commercialization journey - from discovery to post-launch. Our global network of over 10,000 experts operates across 50 countries, supporting clients with strategic insight, medical excellence, creative engagement, and real-world delivery. We work with the world's leading health and life sciences businesses to solve complex challenges and drive meaningful outcomes for our clients and patients. 

What sets Inizio apart is our people - and we believe everyone should have the opportunity to thrive. Here, you're encouraged to reimagine your possibilities: to grow, to be curious and to make real change happen. It's a place where your individuality is valued, your development is supported, and your ambition is celebrated. If you're ready to push boundaries and accelerate your career, Inizio is the best place to be. 

Our Pledge 

At Inizio, we value inclusivity, recognize the power of diversity and inspire the next generation of change-makers. We are an equal opportunities employer. We believe in creating a dynamic work environment that values diversity, equity and inclusion. We aim to recruit from a diverse slate of candidates and foster an environment that provides the right conditions for long-term success. We welcome all applications regardless of race, color, religion or belief, gender, gender identity, age, national origin, marital status, military veteran status, genetic information, sexual orientation and physical or mental disability. 

Artificial Intelligence 

Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions at Inizio are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. 

#LI-PW2 

#LI-HYBRID 

See yourself at Twilio

Join the team as Twilio’s next Principal Presales Engineer, Product Specialist - CDP, Martech, AI 

About the job

This position is needed to act as the "bridge" between our most complex enterprise accounts and our Product teams. You will scope, design, and validate how complex multi-product solutions fit into the client’s ecosystem and help paint the long-term Twilio vision for our customers. You will be a critical partner cross-functionally, working with product, engineering, and marketing to identify and share technology patterns and shifts from our clients (and prospects) to influence product strategy.

Responsibilities

In this role, you’ll:

• Develop your expertise of the Twilio platform, use cases and buyer personas, while staying current on Customer Data Platform, AI, and data engineering trends
• Architect the Technical Win: Scope, design, and build multi-product solution architecture and compelling presentations to secure the Technical Win, in partnership with core sales, core SE, and Enterprise Strategist teams
• Design creative solutions across customer data flows, AI decisioning, and end-to-end customer journey design
• Educate cross-functional teams on product specific knowledge, enablement, strategy, and solutions / use cases  (Sales, Presales, Marketing, Enablement, CS, Product, etc.)
• Mentor sales and SE team members on value-selling strategies and complex solution selling
• Document recent patterns and technology shifts with our clients and prospects to influence Product and R&D strategy via GTM interlock and Product Life Cycle processes
• Drive Thought Leadership: Proactively contribute to the Specialist Org strategy and the multi-product GTM motion

Qualifications 

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

*Required:

• Demonstrated ability to lead complex solutions sales cycles, including novel solution scoping, design, and validation
• Expert stakeholder collaboration and influencing skills
• 6+ years of progressive presales experience, including complex solution architecture
• 2+ years of demonstrated expertise in CDP and/or martech related platforms - including data engineering, data modeling, and/or cloud data warehouse
• Strong track record of excellent verbal and written communication skills, and  driving deal strategy with creative and compelling storytelling
• Experience selling and designing solutions across multiple product areas within a CDP or Martech-related platform 
• Confidence influencing and engaging with a highly skilled and experienced audiences including C-level executives

Desired:

• Experience working in an overlay or specialist presales capacity
• Experience collaborating with product on strategy, positioning, and roadmap

Location

This role will be remote but must be based in the United Kingdom or Ireland 

Travel 

We prioritise connection and opportunities to build relationships with our customers and each other. For this role, approximately 20% travel is anticipated to help you connect in-person in a meaningful way. 

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption.

In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical — designing systems capable of handling tens of gigabytes per second across continuously evolving datasets.

In this position, your responsibility will be to

• Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure
• Build ingestion workflows for internal and external data sources, including web-scale crawling and structured feeds
• Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency
• Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current
• Ensure reliability and predictability of pipelines under high-throughput conditions
• Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
• Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines
• Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it
• Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements
• Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals

You may be a good fit if you:

• Have 5+ years of experience building production backend or data systems
• Have strong hands-on experience with Go in real-world, high-load services (experience with other systems languages such as C++ or Rust is a plus)
• Have worked on systems at significant scale — such as 10k+ RPS or 10+ GiB/sec throughput
• Have experience building or operating databases, data planes, or large-scale data pipelines
• Understand distributed systems fundamentals, including fault tolerance, failure modes, and horizontal scalability
• Have operated your own systems in production: handled incidents, made real-world tradeoffs, and understand what running data infrastructure at scale truly involves
• Think in terms of systems and data flows rather than isolated components, reasoning end-to-end about how data moves through the stack
• Can make pragmatic decisions under pressure without compromising long-term system health
• Collaborate effectively across infrastructure, ML, and product teams, communicating clearly in cross-functional settings

Strong candidates may also have experience with:

• Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam
• Content systems including web crawling, scraping, proxying, or anti-bot infrastructure
• Ad tech, social networks, or other large-scale content platforms
• DBMS internals (open source or SaaS) and cloud infrastructure
• Open-source contributions or active involvement in the engineering community
• Competitive programming or CTF participation (ICPC, IOI, or similar)
• SHAD or similar advanced technical programmes
• Conference talks or technical publications

We conduct coding interviews as part of the process.

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 

We’re building Nebius Token Factory — an AI inference platform that powers high-performance, cost-efficient workloads at scale. As a Senior Technical Product Manager, you’ll own one of our core product streams and drive it end to end: from roadmap and design to launch and adoption of features our customers rely on.

You are welcome to work remote from the UK, or hybrid from our Amsterdam location.

Your responsibilities will include: 

• Own the product roadmap, delivery and developer experience for one of our flagship product direction - Dedicated Endpoints for AI Models Inference
• Partner with engineering and research to design tools that let customers run large-scale, high-load inference workloads efficiently.
• Support sales & customers by preparing materials, leading PoCs/betas, and ensuring smooth onboarding of complex workloads.
• Drive product–market fit through continuous user research, customer interviews, and market & competitive analysis
• Manage technical partnerships and ensure integrations deliver measurable value despite limited resources.

We expect you to have: 

• 3–5 years of product management experience, shipping technical products with 10–15+ cross-functional stakeholders(engineering, research, design, support, marketing, legal, leadership).
• Hands-on mindset — a power user of your own product, comfortable diving into:
           AIOps lifecycle: inference, experimentation, evaluation, fine-tuning, deployment
           Cloud-native and DevOps tooling
           Distributed systems and production infrastructure
• Excellent execution and project management skills — roadmaps, milestones, ownership, Agile processes, sprints, and change management (without creating chaos).
• Outstanding communication — able to write crisp PRDs, RFCs, runbooks, and release notes; articulate constraints and trade-offs clearly to technical and non-technical teams.
• Technical fluency — able to speak the same language as engineering, define precise requirements, understand constraints, and make sensible trade-offs grounded in reality.
• B2B SaaS experience, ideally working with enterprise customers and technical buyer personas.
• Customer-obsessed — proactive in uncovering needs, understanding customer AI strategy, and ensuring our product becomes essential in their stack.
• Bias toward action — runs problems end-to-end without waiting for instruction, even with incomplete data.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As an IT Datacenter Technician, you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems.

You’re welcome to work in our colocation in London, England. 

Your responsibilities will include: 

• Diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Installation, upgrading and dismantling of hardware based on operational requests and requirements.
• Managing and maintaining the connectivity of fiber optic cables and patch cords.
• Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
• Processing Return Merchandise Authorizations (RMAs) in compliance with established manuals and procedures.
• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
• Collaborate with key stakeholders, including (teams, executives).

We expect you to have: 

• 3+ years of hands-on experience in diagnosing and resolving server hardware issues.
• A solid understanding of data center operations, as well as server and network equipment principles.
• Basic proficiency in the Linux operating system and familiarity with command-line tools.
• Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
• Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
• A proactive, responsible and goal-oriented approach to work.

It will be an added bonus if you have: 

• Driving License (Category B)
• Project planning skills

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As an IT Technician, you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems.

You’re also welcome to work on-site at our colocation facility in Longcross, UK.

Your responsibilities will include:

• Diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Installation, upgrading and dismantling of hardware based on operational requests and requirements.
• Managing and maintaining the connectivity of fiber optic cables and patch cords.
• Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
• Processing Return Merchandise Authorizations (RMAs) in compliance with established manuals and procedures.
• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
• Collaborate with key stakeholders, including (teams, executives).
• Lead and manage (specific workflows, processes, projects).
• Monitor and evaluate progress on (specific projects).

We expect you to have:

• 3+ years of hands-on experience in diagnosing and resolving server hardware issues.
• A solid understanding of data center operations, as well as server and network equipment principles.
• Basic proficiency in the Linux operating system and familiarity with command-line tools.
• Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
• Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
• A proactive, responsible and goal-oriented approach to work.

It will be an added bonus if you have:

• Driving License (Category B)
• Project planning skills

The role

We’re looking for a BDR Manager to lead and scale our EMEA-based BDR team. You will take ownership of a team of currently 4 BDRs, with a clear mandate to grow and develop the team significantly in 2026. Your role is to build a high-performing, innovative, and people-oriented BDR function that drives Nebius’s growth in the EMEA market, targeting both AI-native startups and enterprise customers, in close collaboration with the Sales and Marketing Leadership Teams. 

 You are welcome to work hybrid from either our Amsterdam or London office

Your responsibilities will include: 

Team Leadership & Scaling 

• Lead, mentor, and develop a team of BDRs, preparing them for rapid expansion in 2026.
• Recruit top talent, foster a culture of continuous learning, and ensure each team member is equipped to engage with both high-growth startups and established enterprises.
• Design and implement onboarding and training programs tailored to the needs of these diverse customer segments. 

Strategic Partnership with Leadership 

• Work hand-in-hand with the Sales and Marketing Leadership Teams to align BDR strategies with Nebius’s dual focus: AI-native companies and enterprise clients.
• Collaborate closely with sales leaders to refine target account lists, qualification criteria, and pipeline development processes for both segments.
• Partner with marketing leaders to optimize lead generation, messaging, and campaign effectiveness for startups and enterprises alike. 

Process Improvement & Innovation 

• Build and optimize scalable BDR processes, leveraging technology and data to increase efficiency, conversion rates, and pipeline quality across all customer types.
• Identify and integrate new tools and methodologies to keep the team at the forefront of sales innovation, adapted to the specific needs of startups and large organisations. 

Market & Performance Ownership 

• Stay ahead of AI, cloud, and sales technology trends to position Nebius as a leader in the EMEA market for both AI-native and enterprise customers.
• Represent Nebius at key industry events, conferences, and networking opportunities to build brand awareness and generate pipeline in both segments.
• Create a supportive, people-first environment where BDRs are motivated, engaged, and empowered to exceed their targets, whether engaging with a fast-moving startup or a complex enterprise. 

We expect you to have: 

• 3+ years as a BDR/SDR in cloud, B2B SaaS, or AI, with a strong track record in the EMEA market and experience engaging with diverse customer profiles (startups to enterprises).
• 1+ years of management experience, with a passion for recruiting, coaching, and scaling teams in a multi-segment environment.
• Experience working closely with executive and leadership teams to drive strategic initiatives. 

Technical & Sales Acumen:  

• Deep understanding of B2B sales processes, CRM systems (e.g., HubSpot, Salesforce), and sales engagement tools (e.g., Outreach, Apollo).
• Ability to articulate Nebius’s value proposition to technical and business stakeholders, from founders to C-level executives. 

Soft Skills & Mindset:  

• Exceptional leadership, communication, and interpersonal skills, with a focus on team development and empathy.
• Strong ability to influence and collaborate with cross-functional leaders.
• Analytical and data-driven, with a commitment to continuous improvement and innovation.
• Thrives in ambiguity and is excited by the challenge of scaling a team in a high-growth, multi-segment environment. 

We're looking for a Global EHS Manager who is equal parts strategist and builder. This is our first dedicated EHS hire, which means you won't inherit a playbook. You'll write it.

Reporting to the Head of Country HR Operations, you'll own the full scope of Environmental Health & Safety across our international footprint: offices, data centers, and mission-critical infrastructure environments operating 24/7 across multiple jurisdictions.

This role sits at the intersection of regulatory compliance, operational risk, and people safety. You'll start by mapping where we are, build a global EHS strategy from the ground up, and then lead its deployment, working hand in hand with local HR Operations specialists in every country. You'll make the calls on where we use direct resources versus external providers, and you'll define what 'good' looks like for the company.

If you want a role where EHS infrastructure already exists, this isn't it. If you want to build something that matters, and have the authority and support to do it, read on.

Key Responsibilities

Strategy & Program Design

• Conduct a global EHS needs assessment across all Nebius locations, mapping regulatory requirements, current gaps, and risk exposure by site type.
• Design and implement a global EHS strategy that covers data centers, offices, and other operational environments, including a clear framework for where direct hires, embedded specialists, or third-party service providers are the right model.
• Develop and maintain a global EHS management system aligned with ISO 45001, ISO 14001, OSHA, UK HSE, EU directives, and relevant local regulations across all jurisdictions.
• Establish a global EHS policy framework and ensure site-specific adaptations are compliant, current, and actively maintained.
• Define global EHS KPIs and reporting cadences; build the infrastructure to track and surface them to leadership.

Compliance & Risk Management

• Ensure regulatory compliance across all operating countries, proactively monitoring legislative changes and translating them into operational requirements.
• Own the risk assessment process globally: hazard identification, evaluation, controls, and documentation, with a particular focus on data center and shift-based environments.
• Lead and coordinate internal and external audits; drive corrective action and continuous improvement cycles.
• Oversee incident and near-miss investigation processes, including root cause analysis and implementation of corrective and preventive measures.
• Serve as the primary point of contact with labor and environmental authorities when required.
• Support travel program safety compliance in partnership with relevant internal teams.

Training & Culture

• Design and deploy EHS training programs globally, including site-specific onboarding protocols for data center personnel and contractor management.
• Build a genuine prevention culture, not a compliance-only mindset, across all levels of the organization.
• Partner with HRBPs and HR Operations specialists in each country to ensure local deployment of policies, training, and safety communications is consistent and effective.
• Lead or support Safety Committee structures at the global and site level.

Operational Partnership

• Act as the embedded EHS expert for HR Operations: advise on how EHS requirements shape HR processes, from onboarding to incident documentation to site-level compliance tracking.
• Collaborate with local Security, HR Ops and site leadership to ensure emergency response plans, evacuation procedures, and PPE standards are fit for purpose and current.
• Support new site openings and data center launches from an EHS readiness perspective.
• Manage EHS vendor relationships and service providers as the program scales.

What We're Looking For

Must-Have

• Bachelor's or Master's degree in Occupational Health & Safety, Engineering, Environmental Science, or a related field; professional EHS certification strongly preferred (e.g., ISO 45001 Lead Auditor, NEBOSH, CSP, or equivalent).
• 5+ years of EHS experience, including demonstrable experience in a multinational or multi-site environment.
• Proven track record building EHS programs from scratch or from a low-maturity baseline, not just inheriting and maintaining.
• Solid working knowledge of key regulatory frameworks: OSHA, UK HSE, EU EHS directives, and experience navigating multi-jurisdictional compliance.
• Experience with data center, industrial, manufacturing, or other mission-critical physical infrastructure environments.
• Strong understanding of ISO 45001 and ISO 14001; audit and management system experience.
• Exceptional ability to influence without authority across geographies, organizational levels, and disciplines.
• Native or fluency in English is required (it will be tested).

Strong Plus

• Hands-on experience with shift-based or 24/7 operational environments.
• Familiarity with EHS requirements specific to one or more of our key geographies: Israel, France, Spain, Finland, Germany, UK, or the US.
• Experience selecting and managing third-party EHS service providers.
• Proficiency with EHS management software and data visualization tools (e.g., Power BI).
• Additional European languages (French, German, Finnish, Spanish) are a meaningful plus given our footprint.

Competencies & Behavioral Profile

• Builder's mindset: You're energized by a blank page, not intimidated by it. You know how to move from assessment to strategy to execution without waiting for a perfect brief.
• Regulatory fluency across borders: You hold complexity well; multiple countries, multiple frameworks, multiple stakeholders; and you know how to prioritize when everything feels urgent.
• Trusted expert: People call you before something goes wrong, not just after. You're known for giving practical, grounded advice that leaders actually act on.
• Operational partnership instinct: You understand that EHS doesn't live in isolation, it lives in the day-to-day of how sites run, how people onboard, and how incidents get handled. You make it easy for HR Ops and site teams to do the right thing.
• Clear communicator: You can translate technical regulatory language into plain English (or any other language) for a diverse, international audience.
• Comfortable with ambiguity: Nebius is scaling fast. You bring structure to unclear situations rather than waiting for clarity to arrive.

The Head of Equity & Executive Compensation leads the global strategy, design, and governance of Nebius’ equity and executive pay programs. You will ensure our compensation framework drives a high-performance ownership culture, aligns leadership with long-term shareholder value, and scales during rapid company growth.

Reporting to the Director of Total Rewards, you will serve as a technical expert and strategic partner to the Compensation Committee, Board, Finance, and Legal teams

Key responsibilities

• Equity Architecture: Design and evolve global equity vehicles (RSUs, PSUs, Stock Options) and LTI structures, including vesting logic, performance periods, and grant timing
  philosophy.
• Executive & Board Governance: Lead the design of CEO and ELT packages; prepare all materials, pay-for-performance narratives, and analysis for the Compensation Committee
  and Board.
• Strategic Modelling: Manage equity pool planning & utilisation tracking
• Policy Frameworks: Establish global eligibility, leaver treatment, and promotion/role change guidelines to ensure consistency across all geographies. 
• Equity Education: Build a clear narrative and create communication materials (FAQs, offer templates, manager guides) to ensure employees understand the value of their equity. 
• Compliance & Global Oversight: Ensure rigorous governance and regulatory compliance across international jurisdictions, managing tax and reporting risks. 
• Operational Leadership: Lead a high-performing team, manage budgets, and oversee relationships with external equity administration partners and vendors

Key/specific qualifications, knowledge & experiences

• Significant experience leading global equity and executive compensation in high-growth, international technology environments.
• Deep technical mastery of RSUs, PSUs, stock options, and LTI design.
• Direct experience preparing and presenting materials for a Board-level Compensation Committee. 
• Strong financial modelling skills, specifically regarding dilution, burn rates, and equity pool management.
• Proven people leadership skills with experience managing a specialized technical team. 
• Familiarity with major equity administration platforms (e.g., Computershare, Shareworks, Carta, Fidelity)

Competencies & behavioral traits

• Executive experience: High credibility when interacting with C-suite leaders and Board members. 
• Strategic Clarity: Ability to translate complex equity concepts into simple, persuasive narratives for diverse stakeholders.
• Principled Judgment: Strong integrity and a governance-first mindset when handling sensitive executive data and exceptions. 
• Operational Discipline: Exceptional attention to detail in a role where minor errors have significant financial and legal consequences. 
• Navigating Ambiguity: Comfort building scalable frameworks in a fast-paced, evolving environment.

New data center development:

We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.

The role

As a Field Network Engineer at Nebius, you will be responsible for providing IT support at remote locations and deploying data center IT infrastructure in new regions. Your primary focus will be managing projects and IT operations, primarily at our London, England data center, home to a major GPU cloud installation. This role requires frequent travel to support IT operations at other sites. 

You’re welcome to work in our location in London, England, UK. 

Your responsibilities will include: 

• Assist in the preparation and deployment of new infrastructure for upcoming launches.
• Troubleshoot and resolve hardware and network-related issues within our data centers.
• Manage and coordinate remote IT operations by collaborating with smart hands in co-located facilities. Be prepared to travel for on-site installations and technical support.
• Work closely with cross-functional teams and external contractors to ensure seamless project execution.
• Develop and maintain comprehensive technical documentation detailing service operations and best practices.

We expect you to have:

• 3+ years of hands-on experience in project planning and technical problem-solving.
• Strong understanding of network technologies, including data center, server and network equipment.
• Proficiency in IT hardware components, diagnostics and troubleshooting.
• Proactive, responsible, and goal-oriented mindset.
• Excellent written and verbal communication skills in English.
• Willingness to travel regularly for business trips.
• Relevant certifications (e.g., CCNA, CCNP)
• Valid Driving License 

It will be an added bonus of you have: 

• ITIL or/and PMI Certification

Regional GTM Recruiting Manager, EMEA & APJ 

The role 

As the Regional GTM Recruiting Manager for EMEA and APJ, you own how we build and scale our Go To Market teams across the region. 

You are accountable for hiring across Sales, Marketing, Partnerships and Customer functions, ensuring we attract and hire the talent required to support regional expansion and market development. 

Reporting to the Head of GTM Talent, you will lead and develop the EMEA and APJ recruiting team while acting as a strategic partner to regional and global GTM leadership. You will bring structure to regional headcount planning, strengthen hiring quality and ensure we are building teams thoughtfully and sustainably across multiple markets. 

This role is remote within EMEA or APJ and works closely with stakeholders across global time zones. 

Responsibilities 

• Own GTM recruiting strategy and execution across EMEA and APJ 

• Lead and develop the regional recruiting team, driving accountability, performance and consistent hiring practices 

• Partner with global and regional commercial leadership to align hiring strategy with revenue targets and expansion priorities 

• Bring structure to workforce planning, sequencing hires based on business impact, regional priorities and market maturity 

• Support hiring for both established markets and emerging regions as Nebius expands its commercial footprint 

• Build scalable recruiting processes that support growth across multiple countries and regulatory environments 

• Partner with HR and regional leadership to ensure hiring practices align with local employment regulations and market conditions 

• Elevate hiring standards through structured assessment and hiring manager enablement 

• Develop proactive sourcing strategies for high impact and leadership level commercial roles across regional talent markets 

• Use hiring data and market insights to guide prioritisation and recruiting investment across countries 

• Ensure an efficient and high quality candidate experience across all GTM hiring activity 

• Step in as a player coach on strategic or senior searches when needed 

What success looks like 

• A high performing GTM recruiting team delivering against regional growth priorities 

• Hiring plans aligned with revenue objectives and regional expansion milestones 

• Clear prioritisation of revenue critical roles across markets 

• Strong commercial hires that improve execution and strengthen leadership depth across EMEA and APJ 

• Consistent recruiting standards across countries while adapting to local talent markets 

Experience & Qualifications 

• Higher education degree 

• Proven experience managing recruitment teams in high growth technology or SaaS environments 

• Strong track record hiring across Sales, Marketing, Partnerships and Customer functions 

• Experience hiring across multiple countries or international markets 

• Clear understanding of commercial organisation design and revenue team scaling 

• Experience partnering directly with senior commercial leaders 

• Ability to bring structure and prioritisation to complex and fast moving growth environments 

• Data informed mindset with comfort using recruiting metrics and market insights 
• Strong leadership presence and stakeholder influence 

The role

We are looking for a Senior Data Analyst to become the first analytics hire in Capacity Management and build a data-driven foundation for how we plan and operate infrastructure.

Today, many critical decisions rely on expert judgment. Your mission is to change that - by introducing clear metrics, reliable observability, and forward-looking models that guide decisions across engineering, product, and business.

You will work directly with the Head of Capacity Management and operate with high autonomy across the entire capacity domain.

What you will do

Build observability into capacity

• Define and own key metrics for availability, utilization, and capacity health

• Build dashboards that reflect the real state of the system, not a simplified view

• Replace manual and fragmented reporting with reliable, scalable data products

Own forecasting and demand modeling

• Develop rolling forecasts across regions, clusters, and products

• Identify early signals of shortages and imbalances

• Turn uncertainty into quantified scenarios

Drive decision-making

• Support decisions on data center expansion, resource allocation, and product constraints

• Model trade-offs (e.g. resource ratios, allocation strategies, demand shifts)

• Bring clarity and structure to ambiguous, high-impact problems

Scope & impact

• Operate across ~a dozen regions, multiple clusters, and tens of thousands of GPUs

• Influence decisions on infrastructure scaling, product allocation models, and business priorities

• Become a key partner to engineering, product, and business teams

We expect you to have:

• Proven Experience: 5+ years of experience in data analytics, data science, or related fields, ideally in high-scale or infrastructure-driven environments

• Strong ownership: ability to independently drive problems from framing through analysis to actionable recommendations

• Technical proficiency: solid SQL and Python for data analysis, modeling, and working with large datasets

• Data product experience: hands-on experience building dashboards and data products (Grafana, DataLens, or similar BI tools)

• Operational mindset: ability to work effectively in evolving, imperfect data environments with incomplete information

• Decision-making under ambiguity: comfort operating in high-speed environments with shifting priorities and unclear inputs

It will be an added bonus if you have:

• Experience in infrastructure, cloud, or capacity-related domains

• Background in forecasting, time series analysis, or demand planning

• Understanding of statistical methods and practical judgment on when to apply them

• Experience in high-growth or startup environments

• Proficiency in Russian is a plus

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

Nebius is looking for a Senior Salesforce Administrator. As a Senior Salesforce Administrator in our hyper-growth environment, you will play a foundational role in building and scaling our CRM ecosystem from day one. This is a position where you will not only configure and manage Salesforce, but also analyze business processes, design intelligent workflows, and apply data-driven insights to help teams move faster.

You will partner with Sales, Marketing, Customer Success, Product, and Engineering to architect a next-generation CRM platform that supports rapid scaling, automation-first operations, and AI-driven decision-making. This is an opportunity to shape the backbone systems of a fast-growing AI company—creating a CRM foundation that is flexible, automated, and built for high-velocity go-to-market teams.

You’re welcome to work hybrid from London.

Your responsibilities will include:

Administration, Configuration & Automation

• Own day-to-day Salesforce administration, including user access, permissions, security controls, page layouts, objects, record types, and data governance.
• Build scalable automation using automation to replace manual processes and enable operational efficiency.
• Work with stakeholders to map business processes, identify gaps, and design technical solutions aligned with the needs of a hyper-growth GTM engine.
• Translate business requirements into clear user stories, functional specs, and structured workflows.
• Analyse CRM usage patterns and funnel metrics to recommend operational and process improvements.
• Use Salesforce reporting and dashboards to surface insights that help leaders make data-backed decisions.
• Maintain documentation of data models, configurations, integrations, and process maps.
• Collaborate with GTM teams to build lead management flows, sales processes, customer lifecycle models, and AI-powered workflow automations.
• Deliver training, onboarding, and ongoing support to ensure strong user adoption across fast-scaling teams.
• Manage data imports/updates, deduplication, and data cleansing initiatives.
• Support integration efforts with GTM systems, marketing automation platforms, billing systems, and internal tools.
• Troubleshoot issues proactively and act as the go-to expert for platform reliability and performance.

We expect you to have: 

• 4–7+ years in Salesforce Administration with Enterprise CRM experience.
• Strong expertise in Salesforce configuration, automation (Flows), data modelling, and security.
• Demonstrated experience acting in requirements gathering, process design, workflow mapping, and reporting.
• Experience supporting high-velocity GTM teams (Sales, Marketing, Customer Success).
• Strong analytical skills with the ability to translate raw CRM data into insights and actionable recommendations.
• Familiarity with integrations, connected apps, APIs, and middleware (no coding required, but technical comfort is essential).
• Experience with lead routing, funnel analytics, lifecycle automation, or revenue operations tooling is highly valued.
• Excellent communication skills with the ability to influence stakeholders in a fast-changing, high-pressure environment.
• Salesforce certifications such as Admin, Advanced Admin, or Platform App Builder preferred.

• 5+ years of experience in technical recruitment, with a strong focus on senior-level hiring.
• Proven track record hiring in AI/ML, LLMs, Inference, distributed systems, HPC, infrastructure, GPU engineering, or related areas.
• Strong sourcing expertise and deep understanding of modern engineering roles, tech stacks, and motivations of senior candidates.
• Ability to operate autonomously in a fast-moving environment, balancing multiple complex searches.
• Excellent communication, stakeholder management, and analytical skills.
• Curiosity, creativity, and the ability to translate complex technical requirements into effective sourcing strategies.

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 UK&I. 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 hybrid from our London Office.

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 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 platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.

Responsibilities:

• Develop and optimize low-level kernels and runtime components for AI inference 

• Improve performance of inference engines GPU platforms 

• Profile and debug system-level and hardware-level performance issues 

• Integrate support for new hardware architectures (Hopper, Blackwell, Rubin) 

• Collaborate with ML and backend teams to optimize end-to-end execution 

Required Qualifications:

• Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management 

• Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers 

• Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings. 

• Solid understanding of CPU/GPU architecture and memory hierarchy 

Preferred Qualifications: 

• Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU 

• Familiarity with ML inference runtimes (e.g. TensorRT, TVM) 

• Knowledge of Linux internals, drivers, or compiler toolchains 

• Experience with tools like perf, VTune, Nsight, or ROCm profiler 

• Familiarity with popular inference engines (e.g. such as vLLM, sglang, TGI) 

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.

We are seeking a Senior Applied ML Engineer to join a fast-growing team building an agent-native search platform for AI systems, the emerging web access layer for AI. You will develop and deploy machine learning models that power retrieval, ranking, and indexing at scale, helping AI systems access fresh, reliable information in real time. This is a high-impact role working on a production system used 24x7, tackling challenges comparable to large-scale web search.

Your responsibilities:

• Design, train, and deploy ML models for retrieval, reranking, and search relevance in production
• Build and optimise embedding-based indexing and large-scale retrieval systems
• Develop models supporting crawling, data selection, and content understanding
• Define and improve quality metrics for agent-native search and build evaluation pipelines
• Work on systems operating at very large scale, including high-throughput query workloads
• Collaborate closely with engineering teams to integrate ML models into production services
• Analyse performance trade-offs across latency, quality, and cost
• Experiment with and apply state-of-the-art techniques in search, retrieval, and LLM-integrated systems
• Contribute to product and architectural decisions in a fast-moving environment

Must-haves:

• 5+ years of experience in software engineering or applied machine learning
• Strong programming skills in Python, Go, or C++
• Proven experience deploying ML models in production systems
• Hands-on experience with retrieval, ranking, recommendation, or similar ML problems
• Strong understanding of machine learning and modern deep learning techniques
• Experience working with large-scale data systems and high-throughput environments
• Ability to design evaluation frameworks and define meaningful model metrics
• Product-oriented mindset with a focus on impact and iteration
• Strong problem-solving skills and ability to work in a distributed team

Nice-to-haves:

• Experience with search systems or large-scale information retrieval
• Familiarity with embeddings, transformers, and modern NLP systems
• Experience working on LLM-powered or agent-based systems
• Contributions to open-source projects, technical publications, or conference talks
• Participation in competitive ML (e.g. Kaggle) or similar signals of strong technical ability

We conduct coding interviews as part of the process.

The role

We are looking for an Event Manager, EMEA to support the planning and delivery of high-quality marketing events across the region. 

This is a hands-on, execution-focused role where you will help bring events to life—from logistics and vendor coordination to on-site delivery and post-event follow-up. You will work closely with regional marketing, sales, and global teams to ensure events are delivered smoothly, on time, and aligned with Nebius’ brand and business goals.

This role is ideal for someone who thrives in a fast-paced environment, enjoys managing details, and wants to build experience in B2B event marketing within the AI and cloud space.

What you’ll gain:

• Hands-on experience executing high-impact events in the AI and cloud space
• Exposure to global marketing and sales teams
• Opportunity to grow into a more strategic field marketing role over time

You’re welcome to work remotely from the United Kingdom.

Your responsibilities will include: 

• Event Planning & Execution
  - Support the end-to-end execution of regional events including industry conferences, hosted events, workshops, and partner activations
  - Coordinate logistics such as venue sourcing, catering, travel, AV, branding, and on-site setup
  - Manage event timelines, checklists, and deliverables to ensure smooth execution
  - Provide on-site support at events, ensuring a high-quality attendee experience
  
  
• Vendor & Agency Coordination
  - Work with external vendors, agencies, and venues to support event delivery
  - Track timelines, deliverables, and budgets to ensure projects stay on schedule
  - Assist with contract coordination and invoice processing
  
  
• Cross-Functional Support
  - Collaborate with regional marketing, sales, and partner teams to support event goals and attendee targeting
  - Coordinate with internal teams (design, content, operations) to ensure all event assets are delivered on time
  - Support speaker logistics, briefing materials, and presentation coordination
  
  
• Campaign & Attendee Management
  - Assist with event promotion, registration tracking, and attendee communications
  - Maintain accurate event data in CRM and marketing systems
  - Support lead capture and post-event follow-up processes
  
  
• Reporting & Operations
  - Track key event metrics such as attendance, leads, and engagement
  - Assist in post-event reporting and feedback collection
  - Support budget tracking and expense management across events

We expect you to have: 

• ~4 years of experience in event marketing, event coordination, or field marketing (preferably in B2B tech, SaaS, or related industries)
• Strong organizational and project management skills with high attention to detail
• Experience supporting in-person and/or virtual events
• Ability to manage multiple projects simultaneously in a fast-paced environment
• Strong communication and collaboration skills across internal teams and external vendors
• Familiarity with marketing tools such as Salesforce, HubSpot, Marketo, or similar is a plus
• Interest in AI, cloud, or technology industries is preferred
• Bachelor’s degree in Marketing, Business, or a related field

Additional requirements: 

• Willingness to travel up to 25% for events across EMEA
• Comfortable working across time zones and supporting regional initiatives

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

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

Nebius is building the next generation Full-stack AI cloud platform to power model training, post-training, and large-scale inference for AI-native companies and enterprises. As we expand our presence across the global AI startup ecosystem, we are looking for an Industry Partnerships Lead to build strategic relationships with leading technology companies, enterprises, and industry platforms. 

This role focuses on developing partnerships that accelerate adoption of Nebius infrastructure by collaborating with leading AI-native companies, digital-native companies, and enterprises that share the same startup ICP, while creating long-term ecosystem value through joint go-to-market initiatives and industry collaboration. 

You will work closely with the venture partnerships, community, sales, marketing, channel and BDRs to identify high-impact opportunities and build scalable partnership programs. 

You’re welcome to work hybrid from London or remote from Paris.

Your responsibilities will include: 

Develop strategic industry partnerships 

• Identify and build relationships with leading AI-native startups, digital-natives, enterprises, and ecosystem partners across priority industries with the shared startup ICP. 
• Establish Nebius as a strategic infrastructure partner within emerging AI ecosystems. 

Drive joint go-to-market initiatives 

• Create and execute partnership initiatives such as joint programs, campaigns, ecosystem collaborations, and industry events. 
• Work with internal sales and marketing teams to translate partnerships into qualified opportunities and pipeline. 

Build industry-focused ecosystem programs 

• Design programs that connect industry leaders with founders, startups, researchers building on Nebius. 
• Support vertical initiatives across key sectors such as Robotics & physical AI, HCLS, Media & Entertainment, Retail, Gaming and more.  

Enable cross-functional collaboration 

• Partner closely with sales, marketing, channels, BDR and CSA teams to ensure alignment on partnership opportunities and customer needs. 
• Establish clear frameworks and playbook for partner engagement and internal collaboration. 

Operationalize partnership workflows 

• Track partner engagement, pipeline contribution, and program outcomes through CRM systems and internal processes. 
• Continuously refine partnership strategy based on ecosystem insights and market developments. 

Pipeline Generation 

• Build systematic programs and engagement models with industry partners to accelerate startup customer adoption and conversion. 
• Identify and activate shared ICP opportunities between Nebius and industry partners to generate qualified startup pipeline. 
• Design joint initiatives (e.g., partner-led programs, co-hosted events, ecosystem initiatives, or sector-focused programs) that drive founder and researcher engagement. 

We expect you to have: 

• 7+ years of experience in strategic partnerships, business development, ecosystem strategy, or GTM roles 
• Experience working with AI infrastructure, cloud platforms, or tech ecosystems 
• Strong understanding of startup and venture ecosystems 
• Proven ability to build strategic partnerships that drive adoption, pipeline, or revenue 
• Experience working in high-growth startups, scale-ups, or technology companies 
• Ability to collaborate across sales, marketing, product, and engineering teams 
• Familiarity with CRM tools such as Salesforce or HubSpot 

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 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. 

The role 

Nebius is building next-generation AI infrastructure at scale. We are looking for a Field Technical Lead to drive on-site execution of new data center deployments, leading technical teams and contractors while ensuring high-quality, on-time delivery. This position requires frequent travel to data centers during key deployment phases. The person in this role can be located anywhere in the EU or UK but must be available for regular travel to data center deployments around EU/UK. 

Your responsibilities will include: 

• Technically lead on-site deployment of GPU-based compute clusters, storage systems, and high-speed networking in data centers.
• Support Project Managers in planning, coordinating, and tracking project delivery activities.
• Organize and supervise contractors, vendors, and internal technical teams to ensure smooth execution of deployment workstreams.
• Proactively identify, troubleshoot, and resolve technical and operational issues during deployments.
• Maintain clear and accurate project documentation, including deployment plans, risk logs, issue trackers, and acceptance reports.
• Ensure transparent communication with all stakeholders by providing regular status updates, escalating blockers, and managing expectations.
• Collaborate closely with cross-functional teams including engineering, networking, operations, and supply chain.
• Participate in related project activities such as automation initiatives, process improvements, and post-deployment support when required.

We expect you to have: 

• Proactive, ownership-driven leader with the ability to anticipate issues, drive decisions on-site, and lead teams through complex deployments.
• Proven hands-on experience with data center infrastructure deployments, ideally in high-performance computing or AI-focused environments.
• Strong understanding of data center operations including racking, structured cabling, power planning, and cooling considerations.
• Technical knowledge of GPU servers, compute nodes, storage platforms, and high-speed networking technologies.
• Experience working within project delivery frameworks, collaborating closely with Project Managers, and managing subcontractors or vendors.
• Excellent problem-solving skills with the ability to troubleshoot and resolve issues in on-site, time-critical environments.
• Strong communication skills in English, both written and verbal.
• Ability to document processes, maintain tracking systems, and produce clear, structured deployment and status reports.

It will be an added bonus if you have: 

• Understanding of construction projects structure and key risk factors in facility build-outs.
• Knowledge of HPC
• Experience in business processes design or automation tools development.
• PMP, PRINCE2, or similar industry certifications.

The role

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. In this role, you will define what quality means for a search system built for AI agents from day one.

In this position, your responsibility will be to

• Own search-related quality metrics end-to-end: from definition and computation to evolution and transition to next-generation metrics.
• Design and reason about analytics architecture across the full stack: runtime behaviour → data pipelines → metrics → dashboards.
• Develop and maintain analytics pipelines and tooling using Python.
• Translate product, user, and technical requirements into meaningful, actionable metrics.
• Challenge existing assumptions about quality and push for better, more reliable measurement.
• Work closely with product managers, engineers, and stakeholders to align analytics with system behavior and business goals.
• Debug metric anomalies, investigate quality regressions, and propose data-driven improvements.

We expect you to have

• Senior-level experience solving search or search-adjacent analytical problems.
• Strong exposure to quality metrics in at least one of the following areas:
  • search relevance (web, geo, product, offers),
  • ranking and freshness,
  • ads quality or feed ranking.
• Ability to think end-to-end across users, products, and technology, not just individual metrics.
• Solid foundation in mathematical statistics.
• Strong Python skills and a hands-on engineering mindset.
• Experience operating in ambiguous environments and driving solutions independently.
• Clear analytical judgment: understanding why a metric exists, how it evolves, and when it should be retired.
• Strong communication skills and the ability to align product, engineering, and client perspectives.

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!

• Own and build Nebius’ ISV partner ecosystem from the ground up with your key target accounts — defining strategy, segmentation, onboarding models, and long-term growth frameworks
• Identify, recruit, and close high-impact AI and ISV partners that can drive net-new customer acquisition and revenue growth
• Develop and scale repeatable co-sell motions, embedding partners into Nebius’ core sales plays and strategic opportunities
• Drive partner-sourced and partner-influenced pipeline, with a strong focus on net-new accounts and expansion
• Build structured frameworks for joint business planning, pipeline generation, forecasting, and performance management
• Lead joint go-to-market execution, ensuring partners are actively generating demand and influencing deals
• Drive partner technical readiness and platform adoption through onboarding, enablement, and joint solution development
• Act as a key architect of Nebius’ partner program, including co-sell models, incentives, and engagement frameworks
• Stay deeply connected to the AI ecosystem, identifying emerging players, trends, and high-leverage partnership opportunities
• Represent Nebius across industry events, ecosystem forums, and strategic partner engagements
• Serve as the voice of partners internally, working cross-functionally with Sales, Product, Engineering, Marketing, Legal, and GTM teams

• 10+ years of experience in partnerships, business development, or indirect sales within B2B technology
• Strong understanding of the AI/ML and cloud ecosystem (infrastructure, models, data pipelines, ISVs, tooling
• Proven track record of building partner ecosystems from early stages — not just managing existing relationships
• Demonstrated ability to source, negotiate, and close strategic partnerships that drive measurable business impact
• Proven success in driving net-new pipeline, opening new accounts, and scaling revenue through repeatable co-sell programs
• Experience leading co-sell and joint go-to-market motions with sales organizations
• Solid grasp of cloud platforms and consumption-based business models
• Technical fluency — able to engage in architecture discussions, use-case validation, and product alignment
• Builder mindset — comfortable operating in ambiguity and creating structure from scratch
• Strong executive presence with experience navigating complex, multi-stakeholder environments
• Excellent communication, negotiation, and prioritization skills

• Experience working closely with Product and Engineering teams to influence partner integrations and roadmap
• Background in AI-intensive industries such as Financial Services, Healthcare, Robotics, Retail, or Automotive

• You are building the ecosystem — not inheriting one
• Direct ownership of partner-driven revenue and growth
• High autonomy and visibility across the business
• Opportunity to shape how modern AI partnerships are defined and executed at Nebius