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

We are looking for Warehouse Logistics Specialist to support warehouse and logistics operations for data center hardware. This role focuses on execution of inbound and outbound shipments, maintaining inventory accuracy, and ensuring timely equipment provisioning for data center operations.The position requires strong attention to detail, hands-on work with IT equipment, and adherence to established processes and standards.

Your responsibilities will include: 

1. Warehouse & Shipment Operations

• Process inbound and outbound shipments in accordance with established procedures.
• Verify shipment contents against documentation upon receipt and dispatch.
• Ensure proper handling, labeling, and packaging of equipment.
• Coordinate with warehouse providers and internal teams on shipment execution.

2. Inventory & Asset Management

• Participate in cyclical and annual inventory checks.
• Maintain accurate records in inventory systems (ERP/WMS).
• Create inventory items for all received equipment.
• Assist in identifying and reporting inventory discrepancies.

3. Equipment Handling & Testing

• Perform testing of server drives and memory modules according to standard procedures.
• Ensure equipment readiness before provisioning to data center engineers.
• Maintain proper documentation of tested and deployed equipment.

4. Operational Support

• Provide required equipment to data center operation engineers in a timely manner.
• Support daily warehouse activities and logistics workflows.
• Follow SOPs and contribute to process improvement suggestions.

We expect you to have:

• 2+ years of experience in warehouse logistics or a related field.
• Basic understanding of IT equipment (servers, networking hardware, components).
• Familiarity with inventory management processes and systems (ERP/WMS).
• Strong attention to detail and organizational skills.
• Ability to follow procedures and work in a structured environment.
• Willingness to travel for business needs.

Key Employee Benefits:

• Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) Plan: Up to 4% company match with immediate vesting.
• Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage.

Compensation

We offer a competitive rate from $30/hr - 44/hr, based on your experience.

Join Nebius Today!

THE ROLE:

As a Director of Enterprise Systems Engineering, you will lead and inspire a high-performing team of Pre-Sales Systems Engineers who partner closely with sales to drive strategic outcomes for our customers. You’ll be responsible for setting technical vision, developing top SE talent, and aligning Pre-Sales strategy with Everpure’s go-to-market priorities. This is a highly visible leadership role for someone who thrives at the intersection of technology, customer impact, and team development—and who is excited to help shape the future of data storage.

WHAT YOU’LL DO:

Help grow revenue within the region

The successful candidate will join a high performing region and have the unique opportunity to work alongside a Regional Sales Director to define and execute the future strategy of the region for the Central Enterprise Business.

• Work with the sales and pre-sales leadership to establish and track progress against a plan for creating long-term, sustainable growth.
• Engage directly with pre-sales and sales leadership to strategize on the team's opportunities and ensure the correct engagement on pre-sales activities
• Lead, report and the analyze the pipeline and forecast from a technical perspective

Provide Organizational Leadership

• Retain, hire and lead a world class team of SE Managers and Systems Engineers, helping to ensure technical success throughout the sales process
• Develop, improve, and maintain resources, ensuring they are efficiently deployed to successfully meet and exceed the company’s sales goals whilst also supporting a broad range of customer and partner needs.
• Help ensure that all available overlay team resources are aligned to the regions’ success
• Mentor/coach and conduct regular 1:1’s with team members to provide constructive feedback and skills development
• Ensure that every employee has a set of goals and Individual Development plan

Alignment, Cooperation and Partnership

• Ensure alignment of technical message and approach across the overlay functions inc. Partner Technical Managers, Data Architects, PSE, FSA, CTO, CX and PS organizations
• Build relationships and alignment with technical equivalents within regional Alliance and Channel partners
• Build and maintain your network both within and outside of Everpure

Maintain the Culture

Possibly, the hardest, but most important part of the role. Everpure has a unique culture that has driven our success. As we transition from a startup to a company focused on sustaining growth, we need to work hard to balance the demands of the business with the culture of the company.

• Be the custodian of, and live the, values of Everpure
• Recognize and reward outstanding behaviors and success within the team
• Undertake regular team building events as appropriate

WHAT YOU BRING:

Intellectual Curiosity

• Interact with customers, partners  and prospects to understand their business challenges and engagement in pre-sales process
• Understand the big picture, industry trends and our competition
• Self Development - Technical, Leadership & Soft skills 

Communicate Effectively

• Cascade communication and goals throughout your teams
• Leverage the field management process to build strong working relationships with cross functional teams to ensure alignment between pre and post sales activities, whilst ensuring solutions are implemented and supported in-line with client expectations
• Understand and communicate technical issues and/or enhancement requests from customers back to technical support, product management and R&D

Adapt and Adjust

• Be a keen observer. Effectively analyze the results of employee actions and take notice of any shortcomings that could be detrimentally affecting overall productivity
• Adapt to changes and quickly make adjustments to operations as needed
• Self-starter and highly motivated.

Active Contributor

• Be the executive sponsor in the region for a selection of larger opportunities
• Participate in regional industry events/organizations as a thought leader
• Promote products and business solutions at conferences, forums, and seminars.

Have Strong Ethics and Personal Integrity

• Treat people with respect at all time
• High degree of accountability and ownership
• Care about the company and our people

Experience

• 15+ year’s experience in a field Pre-sales position
• Experience leading a team with direct management responsibilities in a large geography
• Must have previous experience supporting the growth of a rapidly expanding organization and managed initiatives aimed at achieving 20% revenue growth
• Willingness to travel as needed on a regular basis

#LI-REMOTE

#LI-JL4

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

Open position in RADaR office locations, including Kansas City, MO, Columbia, MO, and St. Louis, MO; Hybrid work schedule: 3 days in the office, 2 days working from home

Visa sponsorship is not available for this position, now or in the future. Applicants must be legally authorized to work in the United States on a permanent basis without requiring employer sponsorship.

We're seeking a Data Scientist with exceptional statistical expertise to join our team. In this role, you'll work directly with advertising agencies and brands to analyze customer behavior patterns and advertising performance, developing sophisticated machine learning models that inform strategic marketing decisions.

Essential Duties and Responsibilities (Other duties may be assigned)

• Conduct deep statistical analysis of customer behavior data and advertising performance metrics across multiple channels and campaigns
• Design, develop, and deploy machine learning models to predict customer responses, optimize advertising spend, and identify high-value audience segments
• Perform advanced statistical modeling including regression analysis, hypothesis testing, time series analysis, and causal inference
• Build predictive models for customer lifetime value, churn prediction, attribution modeling, and campaign optimization
• Communicate complex analytical findings to both technical and non-technical stakeholders through compelling data visualizations and presentations
• Develop automated reporting solutions and dashboards that enable clients to monitor campaign performance in real-time
• Collaborate with cross-functional teams to ensure data quality and integrity across all analytics initiatives
• Stay current with emerging techniques in data science, machine learning, and marketing analytics

Qualifications - To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 3+ years of professional experience applying statistical methods and machine learning to business problems
• Strong foundation in statistical theory including probability, inference, experimental design, and multivariate analysis
• Demonstrated expertise in machine learning algorithms (e.g., random forests, gradient boosting, neural networks, clustering methods)
• Proficiency in Python or R for statistical analysis and machine learning, including libraries such as scikit-learn, pandas, NumPy, statsmodels
• Experience with SQL and working with large-scale databases
• Proven ability to design and analyze A/B tests and controlled experiments
• Track record of translating complex analytical insights into clear, actionable business recommendations
• Strong communication skills with the ability to present technical concepts to non-technical audiences

Preferred Qualifications:

• Experience working with advertising agencies, marketing teams, or in the ad tech industry
• Knowledge of digital advertising platforms (Google Ads, Facebook Ads, programmatic platforms)
• Familiarity with marketing attribution models and multi-touch attribution methods
• Experience with cloud computing platforms (AWS, GCP, or Azure)
• Knowledge of causal inference methods and their application to marketing effectiveness
• Experience with customer data platforms (CDPs) and marketing automation tools

Education

• Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Total Perks Package

• The chance to be a part of a growing company and the next success story
• Amazing opportunities for career development
• Recognition programs
• Employee referral bonus
• Hybrid work schedule; 3 days in the office, 2 days working from home
• Fun and collaborative work environment
• Casual dress code
• Insurance Coverage (medical, dental, vision, life, and disability)
• 401(k) retirement plan, with employer 4% match
• Work/life benefits, including mental health and wellbeing support
• Flexible Time Off Policy
• Paid holidays, including agency soft closing Christmas Eve-New Year's Day
• Paid leave options, including sick leave, medical leave for self and family, and parental leave

The Team 

You will join a fast-growing Neocloud infrastructure organization operating at the intersection of AI, high-performance computing (HPC), and hyperscale cloud services. Our data centers host large-scale GPU clusters purpose-built for AI training, inference, and accelerated workloads. 

As global data center operations expand, this role offers significant career progression, direct involvement in new data center builds and expansions, and exposure to industry-leading GPU platforms. Your work will have a measurable impact on platform reliability, customer SLAs, and operational efficiency, while collaborating closely with experts in AI infrastructure design, cloud operations, and data center engineering. 

This is a highly collaborative, innovation-driven environment where best practices are continuously refined to exceed industry standards in design, deployment, and operations. 

As an IT Manager, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.

Your role involves leading a team that works directly with cutting-edge technologies, including the advanced GPU cloud clusters. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.

You’re also welcome to work on-site at our colocation facility in Kansas City Metropolitan Area

Your responsibilities will include: 

• Manage IT support team to achieve KPI in IT infrastructure support and project planning.

• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.

• Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.

• Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.

• Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.

• Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.

• Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).

We expect you to have:

• 5+ years of team management, 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.

• Practical experience in project planning and management.

• Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).

• 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.

• Advanced 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:

• ITIL and/or PMI certification.

• Driving License (Category B)

Compensation:

• $146,880 – $220,320 + Bonus USD per year, depending on experience and qualifications (Annual Bonus Eligible)

The role

We are looking for a Senior Hardware Support Engineer to own production hardware reliability across large-scale, mission-critical data center environments. This role operates at the intersection of hardware engineering, operations, and vendors, ensuring fleet stability, rapid root cause identification, and continuous improvement of server and platform reliability.

You will act as a senior escalation point for complex hardware and firmware issues affecting production systems, driving investigations from symptom to root cause and coordinating resolution across engineering, vendors, and on-site teams. The role requires strong analytical thinking, structured problem-solving methodology, and deep hardware expertise in high-density, performance-critical infrastructure environments.

Your responsibilities will include

• Leading root cause analysis for complex hardware and firmware failures across production fleets

• Aggregating recurring problems and error patterns to identify systemic reliability issues

• Acting as the senior escalation point for hardware-related incidents impacting availability or performance

• Coordinating with vendors to drive timely diagnostics, RMAs, firmware fixes, and corrective actions

• Partnering with internal engineering teams to validate fixes and prevent recurrence

• Performing hardware and firmware validation before fleet-wide rollout

• Driving structured incident investigations using established IT problem management methodologies

• Supporting on-site teams with technical coordination during critical hardware events

• Improving hardware observability, failure tracking, and reporting processes

• Contributing to long-term hardware reliability strategy and fleet-wide stability improvements

What we expect you to have

• Strong hands-on expertise with server hardware in data center or large-scale production environments

• Proven experience performing root cause analysis of hardware and firmware failures

• Deep understanding of server components (CPU, memory, storage, networking, power, BMC) and failure modes

• Experience working directly with hardware vendors and engineering teams to resolve production issues

• Structured problem-solving skills using formal IT or incident management methodologies

• Strong analytical capabilities and ability to interpret logs, telemetry, and error patterns

• Experience coordinating technical activities with on-site operations teams

• Ability to manage multiple concurrent investigations with production impact

• Clear written and verbal communication skills in cross-functional environments

It will be an added bonus if you have

• Experience in GPU-dense, AI, or high-performance computing environments

• Exposure to firmware lifecycle management and large-scale rollout validation

• Familiarity with Linux-based production systems and infrastructure tooling

• Experience improving fleet-wide hardware reliability metrics at scale

Working conditions

• Participation in incident escalations for production-impacting events

Key employee benefits

• Comprehensive medical, dental, and vision coverage

• 401(k) plan with company contribution

• Flexible paid time off

• Paid parental leave

• Professional development support

Compensation

$125,000 – $180,000 per year plus annual performance-based bonus.

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. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations.

You’re welcome to work at our data center in Kansas City. 

Your responsibilities will include: 

• Monitor and support the IT infrastructure to ensure optimal performance and uptime.
• Diagnose and resolve issues related to server and network hardware within the data center.
• Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements.
• Manage and maintain fiber optic and patch cable connectivity.
• Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation.
• Collaborate with internal teams to resolve technical and operational issues.
• Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance.

We expect you to have: 

• Solid understanding of server and networking equipment.
• Practical, hands-on experience with server hardware, network switches, and fiber optic cabling.
• Proven ability to diagnose and resolve hardware-related issues.
• A proactive, responsible, and results-driven work attitude.

It will be an added bonus if you have:  

• Basic knowledge of the Linux operating system and familiarity with command-line tools

Compensation
We offer competitive hourly rates, ranging from $26.00 – $38.00 per hour based on your experience.

The role

Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ensure GB-series infrastructure moves from installation to fully operational production environments with precision and reliability. You will collaborate closely with hardware engineering, networking, and infrastructure teams to deploy and stabilize H200 and B200-based GPU systems at scale.

Your responsibilities will include:

• Lead end-to-end deployment of GB-series racks within data center environments
• Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers
• Troubleshoot complex hardware, firmware, Linux OS, and networking issues
• Execute structured testing and validation procedures during deployment
• Develop and maintain basic Linux-based hardware health-check and diagnostic scripts
• Coordinate on-site hardware repairs, part replacements, and vendor escalations
• Drive root cause analysis and ensure corrective actions are implemented
• Manage and prioritize deployment timelines across multiple concurrent rollouts
• Provide technical leadership and guidance to on-site engineers and technicians
• Partner with networking and infrastructure teams to ensure seamless integration
• Document deployment processes, validation standards, and operational runbooks

What we expect you to have:

• Strong hands-on experience deploying and operating data center infrastructure
• Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms
• Experience working with high-density rack deployments (GB-series or similar)
• Solid Linux experience, including troubleshooting and scripting
• Ability to diagnose issues across hardware, OS, firmware, and network layers
• Experience coordinating field repairs and working directly with hardware vendors
• Proven experience leading technical teams or overseeing field operations
• High ownership mindset and ability to operate in production-critical environments
• Clear communication skills and ability to collaborate across distributed teams

It will be an added bonus if you have:

• Experience deploying AI or HPC clusters at scale
• Familiarity with automated provisioning or infrastructure lifecycle systems
• Background in hardware qualification, burn-in testing, or factory validation
• Experience supporting rapid infrastructure expansion
• Exposure to ARM-based or heterogeneous compute environments

Working conditions:

• Collaboration with globally distributed engineering and operations teams

Key employee benefits:

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
• 401(k) plan: up to 4% company match with immediate vesting
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
• Remote work reimbursement: up to $85/month for mobile and internet
• Disability & life insurance: company-paid short-term, long-term, and life insurance coverage

Compensation

• We offer competitive salaries, ranging from $125k- $180k base + quarterly performance bonuses.

Join Nebius today and help build the software that powers the next generation ofAI infrastructure.

Summary: 

Locations: United States
Duration: 2-3 months
Start date: June 2026 
Compensation: Paid
Eligibility: Current college/university student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: Permitted to work in the job’s location

Role description 

As an IT Datacenter Technician Intern, you will learn to play a vital role in maintaining and optimizing IT infrastructure within our data centers. This includes working hands-on with modern GPU cloud cluster technologies. Your responsibilities will involve learning how to support data center IT infrastructure, troubleshoot and resolve hardware issues, perform physical hardware repairs, and ensure the smooth operation of critical systems.

This is a shift-based role and provides an opportunity to become a full-time Nebius L1 IT Technician.

Skills you will learn: 

• Diagnosing and resolving issues related to IT hardware, while ensuring continuous support of the data center’s IT infrastructure.
• Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
• Installing, upgrading, and dismantling 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 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.
• Collaborating cross-functionally with other teams.

We expect you to have: 

• Enrollment in or recent graduation from an accredited college, university, or technical school with a focus on Information Technology, Computer Science, Engineering, or a related field.
• Be at least 18 years old by the internship start date.
• Be eligible to work in the country where the position is located, without requiring sponsorship.
• A demonstrated strong interest and foundational knowledge in IT data center operations, networking, hardware, and software.
• The ability to comply with all safety, security, and confidentiality policies of the IT data center.
• Availability to commit to the full internship duration (minimum of 8 weeks, full-time).

What we offer:

• Competitive salary and comprehensive benefits package.
• Mentorship from experienced infrastructure professionals.
• Hands-on experience with real workloads and systems.
• A dynamic and collaborative work environment that values initiative and innovation.
• Opportunity to be considered for a full-time role after the Early Talent Program.

• Health insurance: 100% company-paid medical, dental and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

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!

Position Summary

We are seeking a highly analytical and disciplined Trader to execute and manage long only and hedged equity strategies in separately managed accounts (SMAs). The equities strategies include the utilization of options and/or short positions. The ideal candidate will have a strong understanding of options pricing, volatility, risk management, and execution, along with a solid grasp of how these strategies are applied within broader portfolios. This includes an understanding of underlying equity positions, position sizing, sector exposures, and how options impact overall portfolio construction. This role also demands strong quantitative skills, real-time decision-making ability, and a consistent track record of disciplined execution.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 days per week, or as assigned by their team leader.

Primary Responsibilities

• Execute and monitor the individual stock (long only and hedged) trading strategies across Separately Managed Accounts (SMAs).
• Maintain a strong understanding of underlying portfolios, including individual holdings, position weights, target allocations, and sector exposures, and how these inputs inform options strategy implementation.
• Execute tax-loss harvesting trades within the confines of the aforementioned strategies.
• Manage trade execution, client allocations, and performance reporting processes.
• Provide feedback and insight to the Portfolio Management and investment teams to inform and refine investment strategies.
• Maintain and manage risk exposures in real-time, adhering to firm and regulatory limits.
• Use proprietary and third-party tools to model trade outcomes and assess risk/reward profiles.
• Collaborate with sell-side firms, portfolio managers, research, operations, and technology teams to ensure accuracy across trade allocations and performance reporting.
• Generate performance reports and contribute to post-trade analysis and strategy improvement.
• Stay up to date on market developments, trading regulations, and industry best practices.
• Manage multiple workflows and projects simultaneously while maintaining a high degree of accuracy and accountability.
• Communicate to stakeholders, including firm advisors and clients (as needed).

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of trading experience, preferably with individual equities and listed options.
• Strong knowledge of derivatives pricing models (Black-Scholes, Greeks, volatility skew/smile).
• Proficiency in trading platforms (e.g., Bloomberg, ThinkOrSwim, TradeStation, Eikon) and analytical tools (Python, Excel/VBA, R, or similar).
• Ability to communicate clearly and collaborate across teams in a fast-paced environment.
• Excellent risk management discipline and ability to make decisions under pressure.
• Detail oriented with the ability to develop and manage checks and balances to ensure accuracy of trades and allocations to client accounts.

The annualized base pay range for this role is expected to be $125,000 - $150,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.

#LI-KT1

Position Summary

We are seeking a highly analytical and disciplined Trader to execute and manage long only and hedged equity strategies in separately managed accounts (SMAs). The equities strategies include the utilization of options and/or short positions. The ideal candidate will have a strong understanding of options pricing, volatility, risk management, and execution, along with a solid grasp of how these strategies are applied within broader portfolios. This includes an understanding of underlying equity positions, position sizing, sector exposures, and how options impact overall portfolio construction. This role also demands strong quantitative skills, real-time decision-making ability, and a consistent track record of disciplined execution.

Focus provides team members the flexibility to work a hybrid schedule. Our hybrid model is defined as 3 days in office work required per week, while giving team members the option to work remotely 2 days per week, or as assigned by their team leader.

Primary Responsibilities

• Execute and monitor the individual stock (long only and hedged) trading strategies across Separately Managed Accounts (SMAs).
• Maintain a strong understanding of underlying portfolios, including individual holdings, position weights, target allocations, and sector exposures, and how these inputs inform options strategy implementation.
• Execute tax-loss harvesting trades within the confines of the aforementioned strategies.
• Manage trade execution, client allocations, and performance reporting processes.
• Provide feedback and insight to the Portfolio Management and investment teams to inform and refine investment strategies.
• Maintain and manage risk exposures in real-time, adhering to firm and regulatory limits.
• Use proprietary and third-party tools to model trade outcomes and assess risk/reward profiles.
• Collaborate with sell-side firms, portfolio managers, research, operations, and technology teams to ensure accuracy across trade allocations and performance reporting.
• Generate performance reports and contribute to post-trade analysis and strategy improvement.
• Stay up to date on market developments, trading regulations, and industry best practices.
• Manage multiple workflows and projects simultaneously while maintaining a high degree of accuracy and accountability.
• Communicate to stakeholders, including firm advisors and clients (as needed).

Qualifications

• Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of trading experience, preferably with individual equities and listed options.
• Strong knowledge of derivatives pricing models (Black-Scholes, Greeks, volatility skew/smile).
• Proficiency in trading platforms (e.g., Bloomberg, ThinkOrSwim, TradeStation, Eikon) and analytical tools (Python, Excel/VBA, R, or similar).
• Ability to communicate clearly and collaborate across teams in a fast-paced environment.
• Excellent risk management discipline and ability to make decisions under pressure.
• Detail oriented with the ability to develop and manage checks and balances to ensure accuracy of trades and allocations to client accounts.

The annualized base pay range for this role is expected to be $125,000 - $150,000 per year. Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual cash bonus and a comprehensive benefits package.

#LI-KT1

Position Summary

The Director of Data Analytics will help lead the FP&A and data analytics strategy for the wealth management business, transforming client, advisor, operational, and financial data into actionable insights that improve growth, advisor productivity, and business performance. This role will partner closely with advisory, investment, operations, technology, compliance, and finance team members to build scalable reporting, strengthen data governance, and advance a more data-driven organization. The Director will help build scalable reporting frameworks for billable client assets and firm-level performance benchmarking.

This position will be an integral contributor to the company’s FP&A and data analytics.

This reports to the VP of FP&A and Data Analytics.  

This role can be located in New York, NY; New Hyde Park, NY; St. Louis, MO

Primary Responsibilities

• Help build and develop a high-performing finance data analytics team responsible for dashboards, KPI reporting, ad hoc analysis, business intelligence, and advanced analytics.
• Partner across all business disciplines to improve data quality, establish common definitions, and enable trusted analytics across CRM, portfolio reporting systems and billing systems.
• Deliver meaningful reporting across client trends, segmentation, productivity, profitability, and retention metrics.
• Navigate the firm's data warehouse capabilities, ensuring clean integration of data to our Enterprise Resource Planning (ERP) system and other reporting platforms.
• Identify and implement opportunities to use predictive analytics and AI to improve process automation.
• Drive adoption of self-service analytics tools, data literacy, and a culture of evidence-based decision-making across the finance organization.
• Establish strong standards for governance, date quality, and privacy to support regulatory, risk, and audit requirements.
  
  

Qualifications         

• Bachelor’s degree in data science, statistics, finance, computer science, or a related quantitative field
• 7 to 10 years of progressive experience in data analytics in a large and complex environment
• Proficiency in SQL, Python/R, and BI tools (Tableau, Power BI, or similar)
• Excellent communication, collaboration, and leadership skills, with the ability to explain complex analyses to non-technical audiences.
• Demonstrated understanding and experience in financial services.
• Familiarity with cloud data platforms (Snowflake, Databricks, Azure Synapse).
• Familiarity with Workday ERP and Adaptive Planning.
• Experience implementing predictive analytics, machine learning, or self-service analytics programs in a regulated environment.

#LI-KJ2

This position is an exempt position. The annualized base pay range for this role is expected to be between $160,000-$200,000 base salary compensation range. Actual base pay may vary based on factors including, but not limited to, experience, subject matter expertise, geographic location where work will be performed, and the applicant’s skill set. The base pay is just one component of the total compensation package. Other rewards may include an annual cash bonus and a comprehensive benefits package, including but not limited to medical, dental, vision, life insurance, and 401(k). Please note that the job title is subject to change based on the selected candidate’s experience and education.