Вакансии

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Nebius is building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As a Mechanical Design Engineer, you will support the design, review, and technical development of mechanical systems for data centers across the APAC portfolio. This role is ideal for a Mechanical Engineer who can take broad ownership across data center mechanical design, evaluate technical options, and work closely with electrical, construction, commissioning, and operations teams. The right candidate can operate independently, review third-party designs, and help Nebius build scalable, maintainable, high-density data center environments. Responsibilities Review mechanical design packages for data center projects, including internal concepts and third-party partner designs. Support mechanical design development for high-density data center environments. Evaluate mechanical design options for air-cooled and liquid-cooled data center architectures. Coordinate closely with electrical design, construction, commissioning, and operations stakeholders. Review designs for maintainability, operational resilience, capacity, and alignment with Nebius standards. Help assess technical tradeoffs, alternative solutions, product options, and design risks. Support design reviews tied to power density, airflow, cooling capacity, and operational readiness. Requirements Data center mechanical design experience. Strong understanding of mechanical systems in mission-critical or data center environments. Experience with air-cooled data center design. Ability to evaluate mechanical capacity, flows, and design assumptions. Ability to review design documents, technical proposals, and partner deliverables. Ability to read and interpret contracts, design requirements, and technical standards. Strong communication skills with internal stakeholders, external design partners, and construction teams. Broad engineering ownership mindset; able to manage the full mechanical design scope rather than only a narrow specialty. Nice to Have Experience with liquid-cooled data center technologies. Experience with hyper-scale, neocloud, GPU, or AI infrastructure data centers. Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms. Familiarity with high-density rack environments, including 50kW to 200kW per rack. Experience supporting design reviews through commissioning or operational turnover. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Milwaukee, WI If you like variety and challenge and take satisfaction from knowing your work supports modern construction, consider joining the Michels Construction, Inc., Our business spans across North America and, we approach each project with a desire to deliver the safe, high-quality, cost-effective work with minimal inconveniences to users. The heavy civil industry is broad, and so are our services. Our projects include Wharfs and ports, Dams, water resiliency, wastewater treatment plants, pump stations, bridges, railways, and more. Our work improves lives. Find out how a career at Michels Construction, Inc. can change yours. As a Concrete Estimator your key responsibilities will be to evaluate bid specifications and drawings, attending pre-bid meetings, soliciting material and subcontractor quotes, and ensuring that everything required to successfully bid and win the project is accomplished. This position will also work with Project Management teams to follow-up on bids and budgets to close the business. It is essential to be forward thinking, performance driven and quality focused. Critical for success are the abilities to work independently and produce highly accurate work in a timely manner. Why Michels Construction, Inc.? We support dynamic and growing industries We are family owned and operated We invest an average of $5,000 per employee on training each year We reward hard work and dedication with limitless opportunities We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan.  Depending on your positions and location you may participate in a different benefit plan. Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You are a result driven individual who is self-motivated What it takes: Bachelor’s degree in construction management, or equivalent degree from a 4-year college or university, 3+ years of related heavy civil construction estimating experience, or equivalent combination Proficient in Microsoft Office Suite Working knowledge of estimating and scheduling software (HCSS, B2W) Negotiation experience Must posses a valid driver license for the type(s) of vehicles which may be driven and an acceptable driving record Position requires around 25% travel for jobsite visits, pre-bid meetings, and pre-construction meeting AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Amsterdam, Netherlands; London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We're looking for a Senior Software Engineer to help us build Nebius Serverless AI — our GPU-native platform for deploying inference endpoints, batch jobs, and AI workloads without managing infrastructure. Customers run production AI on it today; the mission now is to make it the fastest, cheapest, most reliable place to ship GPU workloads on the planet. This is a senior, high-ownership position on a fast-evolving service. You'll set the technical bar: own the architecture of the parts you ship, drive the hard design decisions, and raise the standard of everything around you through code reviews, design reviews, and the way you operate. The work is end-to-end — from cold-start latency in the runtime to the API contract customers integrate against. You'll work from our office in Amsterdam or London, hybrid. In this position, your responsibility will be to: Design and build core components of the Serverless platform — the control plane, scheduler, runtime, autoscaler, and the APIs customers integrate against. Own the hardest engineering problems on the service: cold-start latency, GPU scheduling under contention, multi-tenant isolation, fair-share quotas, request routing at the edge. Set the technical direction for the areas you own — drive architecture decisions, write the design docs, and align the team behind the chosen approach. Raise the engineering bar across the team through code reviews, design reviews, and example — the kind of senior presence that compounds. Run the service like an SRE: define SLOs, build observability, lead incident response, and make sure every postmortem changes the platform, not just the runbook. Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template. Partner closely with Product, GTM, and infrastructure teams to translate customer needs into a coherent technical roadmap. We expect you to have: 7+ years of professional software engineering experience, with a track record of shipping production distributed systems at scale. Excellent knowledge of Golang, or you are ready to quickly switch to it. Deep experience with Kubernetes and container orchestration — you've operated it in anger, not just deployed it. Strong distributed-systems instincts: consistency vs. availability trade-offs, queueing, backpressure, retries, idempotency, multi-tenancy. Experience designing and operating high-throughput, low-latency services — you know where the milliseconds go and how to get them back. A history of being the engineer others look to on hard problems — driving design discussions, unblocking teammates, and shipping the thing nobody else wanted to touch. Ability to write reliable code and dig into complex problems. Teamwork-oriented approach. It would be an added bonus if you had: Experience building serverless or function-as-a-service platforms (Knative, AWS Lambda, GCP Cloud Run, Cloudflare Workers, Modal, Replicate, Together, Fireworks, Anyscale, or similar). GPU scheduling experience — Kubernetes device plugins, MIG, MPS, time-slicing, NVIDIA GPU Operator. ML inference experience — vLLM, TensorRT-LLM, Triton Inference Server, SGLang, model loading and warm-pool strategies. Cold-start optimization at the runtime, image, or snapshot level (FireCracker, gVisor, checkpoint/restore, image streaming). Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder). Contributions to relevant open-source projects in the serverless, scheduling, or inference ecosystems. We conduct coding interviews as part of the process. #LI-ET3 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up across the Americas, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Transform acquisitions into data center-ready projects. A signed agreement is only the beginning. You'll lead development planning, utility coordination, permitting, consultant management, and infrastructure planning to prepare projects for successful delivery. Keep development ahead of construction. Coordinate engineering, utilities, municipalities, and development partners so projects remain ready for execution while commercial negotiations conclude and infrastructure requirements evolve. Build a repeatable development program. Help establish the standards, development governance, readiness gates, and project controls that will support AI infrastructure development across the Americas. About the Role As a Development Manager, you'll lead the development of AI infrastructure projects across the Americas from executed agreement through construction readiness. Working within the Infrastructure Acquisition Group, you'll partner with Site Selection, Technical Due Diligence, Engineering, Energy, Finance, Legal, and Delivery to transform acquisitions into fully defined, development-ready projects. This is a build-phase role on a build-phase team. Many of the development standards, governance processes, readiness gates, and project controls you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex infrastructure developments while helping build the systems that make every future project faster, more predictable, and more scalable. What You'll Own Lead the development of AI infrastructure projects from executed agreement through construction readiness. Own integrated development roadmaps, schedules, budgets, milestones, and the pre-construction risk register. Coordinate permitting, entitlement, utility planning, infrastructure planning, and owner obligations. Recommend Go / No-Go decisions as projects advance through key development milestones. Deliver development-ready projects to the Delivery organization with complete documentation and minimized risk. Development Planning & Governance Lead development activities from executed agreement through construction readiness. Develop and manage integrated development roadmaps, schedules, budgets, and key milestones. Own the development budget, schedule, assumptions, and risk register throughout the pre-construction lifecycle. Lead weekly development reviews and executive readiness meetings, and recommend Go / No-Go decisions as projects advance through key milestones. Infrastructure & Utility Coordination Coordinate infrastructure planning for electrical service, substations, fiber, water, sewer, stormwater, and transportation access. Coordinate permitting, utility planning, entitlement activities, infrastructure planning, and owner obligations. Partner with utility providers, municipalities, engineering teams, and consultants to validate executable development plans. Ensure infrastructure assumptions are fully integrated into project budgets and schedules. Construction Readiness Establish development readiness criteria and project handoff standards. Verify permits, utility agreements, infrastructure planning, owner deliverables, and development obligations are complete before turnover. Deliver projects to the Delivery organization with complete documentation, defined scope, and minimized development risk. Identify and resolve development risks before they impact construction. Cross-Functional Collaboration Serve as the primary development interface across Site Selection, Technical Due Diligence, Engineering, Energy, Finance, Legal, and Delivery. Coordinate architects, civil engineers, environmental consultants, surveyors, permitting specialists, and other external partners. Align internal stakeholders and external consultants to prevent scope, schedule, and cost drift throughout development. What Success Looks Like Transform acquisitions into data center-ready development projects. Deliver predictable development schedules, budgets, and readiness milestones. Identify and resolve development risks before they impact construction. Build trusted relationships with utilities, municipalities, consultants, and development partners. Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building processes where none exist. You know how to independently lead complex infrastructure developments while helping define how future projects should be executed. 8+ years of experience in data center development, industrial development, infrastructure development, land development, or mission-critical projects. Experience managing permitting, entitlement, utility coordination, consultant management, and development planning activities. Strong understanding of infrastructure development, owner's budgeting, development scheduling, risk management, and pre-construction planning. Experience coordinating multidisciplinary teams across engineering, utilities, design, legal, and construction. Excellent communication and executive presentation skills. Bachelor's degree in Civil Engineering, Construction Management, Architecture, Real Estate Development, Urban Planning, or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale data center or AI infrastructure development. Experience with utility coordination, entitlement strategy, infrastructure planning, and owner's representation. Experience with self-development or joint venture delivery models. Professional Engineer (PE), PMP, or similar professional certification. Why Join Nebius The infrastructure supporting AI is being built now. This is an opportunity to help define how Nebius transforms acquisitions into development-ready AI infrastructure while helping build the function itself—the governance, development standards, readiness framework, and operating model that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure developments while helping shape the physical foundation of the global AI economy. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Own the full-cycle, end-to-end recruiting process for business roles across go-to-market (Sales, Marketing, Customer Success), Operations, Finance, People, and other cross-functional teams, delivering an exceptional experience for candidates, interviewers, and hiring managers - Act as a strategic hiring partner to business leaders, collaborating closely to define role requirements, develop clear position profiles, and align on hiring plans, priorities, and timelines - Design and execute proactive sourcing strategies across multiple channels to attract both active and passive candidates for business roles in competitive markets - Build and maintain strong candidate pipelines, effectively assessing, engaging, and closing top business talent - Drive an efficient, structured, and equitable interview process while continuously improving hiring workflows and candidate experience - Track, analyze, and report on key recruiting metrics (time-to-fill, pipeline conversion, source effectiveness, candidate experience) and share insights with hiring managers and Sierra leadership on a regular cadence WHAT YOU'LL BRING - 5–8+ years of full-cycle recruiting experience in a high-growth tech company, with early-stage startup experience preferred - Proven success recruiting and closing candidates across business functions, including GTM, operations, and corporate roles - Strong ability to build trusted, consultative relationships with hiring managers and interview teams - Excellent stakeholder management, communication, and prioritization skills in a fast-paced environment - Data-driven approach to recruiting with experience using metrics to inform hiring decisions and process improvements EVEN BETTER... - Experience recruiting for GTM teams in a SaaS or B2B environment - Experience with Ashby ATS - Experience scaling business teams during periods of rapid growth OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Infrastructure Acquisition Group The Infrastructure Acquisition Group secures the land, power, and data center capacity that enables the Nebius AI Cloud. We identify where Nebius should grow next, structure the commercial agreements that make that growth possible, and partner across engineering, energy, finance, legal, and development to bring new AI infrastructure online. We're a small, founding team building this function from the ground up, leading the acquisition of colocation, build-to-suit, powered land, and other strategic infrastructure opportunities as one of the world's fastest-growing AI cloud platforms scales. Examples of Problems We're Solving Determine whether a site can actually support the AI infrastructure we're planning to build. Lead multidisciplinary technical due diligence across geotechnical, environmental, civil, utility, and entitlement workstreams to determine whether a project is technically feasible before Nebius commits capital. Build a repeatable technical due diligence program. Help establish the standards, consultant network, playbooks, and review processes that ensure every infrastructure opportunity is evaluated consistently across the Americas. Identify technical risk before it becomes commercial risk. Work with Site Selection, Project Development, Engineering, and external consultants to identify development constraints early enough to influence negotiations, investment decisions, and project schedules. About the Role As a Technical Due Diligence Manager, you'll evaluate the technical feasibility of AI infrastructure opportunities across the Americas before Nebius commits capital. Working within the Infrastructure Acquisition Group, you'll lead multidisciplinary engineering due diligence across powered land and build-to-suit developments, partnering with Site Selection, Engineering, Energy, Legal, and Project Development to identify technical risk, assess development feasibility, and support investment decisions. This is a build-phase role on a build-phase team. Many of the standards, playbooks, consultant relationships, and technical review processes you'll use are still being written—in some cases, you'll help write them. We're looking for someone who can independently lead complex technical due diligence programs while helping build the systems that make every future evaluation faster, more consistent, and more scalable. What You'll Own Lead multidisciplinary technical due diligence for powered land, build-to-suit, and other strategic infrastructure opportunities. Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites. Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation. Interpret technical findings and provide development recommendations supporting acquisition decisions. Prepare technical due diligence summaries and present risks, constraints, and recommendations to executive leadership. Technical Risk Assessment Evaluate geotechnical conditions, environmental constraints, utility capacity, network connectivity and fiber access, entitlement requirements, constructability, and development schedules. Identify technical risks that may impact project cost, schedule, or feasibility. Recommend mitigation strategies and additional investigations where appropriate. Quantify technical risks and communicate commercial impacts to Site Selection and Project Development. Studies & Consultant Management Define the scope of engineering, environmental, geotechnical, surveying, utility, and entitlement studies required to evaluate prospective sites. Procure, manage, and coordinate external engineering and technical consultants from scope development through final recommendation. Interpret engineering studies and translate technical findings into clear development recommendations. Maintain technical documentation and due diligence records that support investment decisions. Program Standards & Process Apply Nebius' technical due diligence standards consistently across all projects. Help develop and improve due diligence templates, consultant scopes, checklists, and review processes. Capture lessons learned to strengthen future technical evaluations. Build and maintain a trusted network of engineering and technical consultants. Cross-Functional Collaboration Partner with Site Selection to evaluate new infrastructure opportunities and support acquisition recommendations. Work with Project Development to transition technically viable projects into development. Coordinate with Engineering, Energy, Network, Legal, Finance, and Delivery throughout the acquisition lifecycle. Build trusted relationships with engineering firms, land-use attorneys, environmental consultants, and technical partners. What Success Looks Like Deliver timely technical recommendations that support investment decisions. Identify development risks early enough to influence commercial negotiations and project strategy. Establish consistent technical due diligence standards across the Americas. Build a trusted network of engineering and technical consultants. Help build the standards and processes the Infrastructure Acquisition Group runs on as it scales. What You'll Bring You're comfortable operating in ambiguity and building processes where none exist. You know how to independently lead complex technical due diligence efforts while helping define how future evaluations should be performed. 5–10 years of experience leading technical due diligence, site development, civil engineering, land development, infrastructure design, or large-scale industrial projects. Experience managing multidisciplinary engineering and environmental consultants. Strong understanding of geotechnical investigations, environmental assessments, zoning, entitlements, utility coordination, permitting, and infrastructure development. Ability to interpret engineering studies and translate technical findings into business recommendations. Excellent communication and executive presentation skills. Bachelor's degree in Civil Engineering, Architecture, Construction Management, Real Estate Development, or a related discipline, or equivalent experience. Preferred Qualifications Experience supporting hyperscale data center, AI infrastructure, or mission-critical developments. Professional Engineer (PE), PMP, or similar technical certification. Experience with large-scale infrastructure acquisition or development programs. Knowledge of utility infrastructure, transmission, and power markets. Why Join Nebius The infrastructure supporting AI is being built now. This is an opportunity to help define how Nebius evaluates the next generation of AI infrastructure while helping build the function itself—the standards, consultant network, technical processes, and playbooks that will support infrastructure investments across the Americas. You'll work on some of the industry's largest and most complex AI infrastructure opportunities while helping shape the physical foundation of the global AI economy. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote; New York, NY Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote across North America - NYC, San Francisco, or Denver preferred. You will carry a book of 10-30 accounts - $1B to $5B+ revenue companies. You work in a pod with a dedicated Enterprise Engagement Manager on a shared book: one account plan, shared customer outcomes, and comp designed to maximize earnings and customer value. This is a role that requires a depth of expertise selling to Fortune 500 companies, knowing how to architect multi-disciplinary commercial deals, comfort regularly selling to C-Suite executives, and strategic GTM deal architecture. WHAT YOU'LL DO - Run 10-30 concurrent enterprise cycles a year at $100K - $1M+, from first outbound through production deployment - Build multi-threaded relationships across creative, marketing, technology, and procurement in $5B+ organizations - Win new logos in whitespace and source expansion in existing accounts - Work your pod plan with your Engagement Manager so consumption milestones land quickly - Forecast with the discipline of someone the CRO plans around: staged exits, named next steps, no happy ears WHAT YOU'LL NEED - 5+ years of enterprise software sales with consistent six and seven-figure deals - A quota history above 100% you can walk through year by year, President's Club achievement, etc. - Demonstrated account development: you have grown named accounts 2-3x, and renewals were the floor of that growth - Command of MEDDPICC or equivalent, with the CRM hygiene to prove your pipeline is real - Working AI fluency - you use generative tools yourself and can demo credibly to a skeptical enterprise buyer STRONG CANDIDATES MAY ALSO HAVE - Sold creative or content technology - Sold consumption or usage-based contracts - Sourced the majority of your own pipeline COMPENSATION OTE $275K - $340K (50/50 base to variable). Offers equity. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Remote; Denver, CO; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Open to hiring remote across North America - NYC, San Francisco, or Denver preferred. Runway is scaling its Enterprise revenue organization with leaders who know how to build and scale high-performance teams. And, who can operate a revenue machine while keeping customer value in mind - leading our industry-based revenue pods responsible for both net-new ACV, NRR, and Renewal. This role is designed for the leader who wants to accelerate their CRO career trajectory. Someone who knows how to build and scale teams and leadership excellence from $100M to $500M+ organizations, operate in AI-native fluid environments, and have experience selling-to, expanding, and renewing with client operators from across a variety of ICPs (From operators in Marketing, HR, Operations, and Finance, to technologists in AI, IT Infrastructure, and Security). Runway is searching for leaders who enjoy the build - hiring top-performing AEs and frontline leaders to grow your teams for scale. You’re a leader-of-leaders who lead hybrid revenue pods of AEs + Engagement managers. We expect you to think like a CRO - every pod is effectively a P&L, expansion is as much your number as new logos, and any customer who signs needs to see value through consumption of the Runway platform. If you have only ever inherited a running enterprise org, this is not the right fit. If you have built one, we'd like to talk. WHAT YOU'LL DO - Build and lead an Enterprise segment of 3-4 frontline sales managers; each with 3-5 revenue pods beneath them with operating Enterprise Account Executives and Engagement Managers in each pod. At scale, this role leads 25 - 40 GTM teammates - Own the segment's new ACV and NRR targets - both numbers, one owner, reviewed weekly with the CRO - Engage personally with C-level executives on accounts, building business cases and navigating procurement, security review, legal through to production deployment - Run the operating rhythm: forecasting to +/-5%, deal inspection, pipeline generation discipline, and account planning across a long-cycle book - Ensure that each of your leaders engages their revenue pods (AE + Engagement manager) to drive license consumption and value output. The more we invest in our customer’s adoption, the more everyone wins. WHAT YOU'LL NEED - 12+ years of enterprise software sales with 5+ years leading enterprise sales organizations with experience as a second-line leader - A validated record of building - you have grown an enterprise segment past 25 sellers and beaten the number while doing it - Personal history of closing and sponsoring $250k-$1M+ ACV deals with $1B+ revenue companies - Experience running consumption or usage-based revenue models, where expansion is earned through customer value - Fluency with modern AI - you use these tools daily, operate your team with them to drive productivity, you can demo Runway credibly to a CMO or CTO, and you have a defensible point of view on where generative media is going - Deep understanding of MEDDPICC and Command of the Message to reinforce value-orientation and deal progression with your teams - A record of exceeding quota year-over-year STRONG CANDIDATES MAY ALSO HAVE - Experience selling API and AI infrastructure solutions to CTO / CIOs - Sold creative, media, or content technology to Fortune 500 marketing and studio organizations - Built vertical pod or team structures with shared new ACV + NRR%/Renewal ownership - Scaled a GTM org through the $100M to $500M+ revenue stage COMPENSATION OTE $400K - 475K (60/40 base to variable). Offers equity. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Toronto, Ontario Workplace: Hybrid Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD As a Deal Desk Specialist, you'll play a key role in supporting Docebo's North American Sales and Account Management teams throughout the deal lifecycle. You'll partner closely with Sales, Finance, Legal, and Operations to review and structure deals, ensure pricing and commercial terms are accurate, and help move opportunities through the approval and contracting process. This is a hands-on, cross-functional role for someone who enjoys working with numbers, solving problems, navigating processes, and finding practical solutions in a fast-paced SaaS environment. Reporting to the Director of Pricing & Renewals Management, you'll help ensure our deals are accurate, compliant with company policies, and able to move efficiently from proposal to signature.s. 📅 THE DAY-TO-DAY - Manage Deal Desk requests: Own the day-to-day Deal Desk workflow for North America, supporting Sales and Account Management teams from initial request through final approval. - Review pricing and deal structure: Review quotes, pricing, discounts, and deal structures to ensure accuracy and alignment with Docebo's commercial policies. - Navigate approvals: Help Sales teams understand approval requirements and coordinate with the appropriate stakeholders to keep deals moving. - Partner cross-functionally: Work closely with Sales, Finance, Legal, and Operations to resolve questions and address non-standard pricing, terms, and contract requests. - Ensure accuracy: Review orders and deal documentation for completeness and accuracy before they move forward. - Support renewals: Partner with the Renewals team on pricing, commercial terms, and approval requirements for customer renewals. - Maintain documentation: Keep playbooks, templates, pricing resources, and process documentation accurate and up to date. - Improve processes: Identify opportunities to simplify workflows, reduce friction, and improve the overall Deal Desk experience. - Be a trusted partner: Build strong relationships with Sales and cross-functional stakeholders while providing timely, practical guidance on deal-related questions. ⚡ YOUR SUPERPOWERS - Relevant experience: 2+ years of experience in Deal Desk, Sales Operations, Revenue Operations, Commercial Operations, Finance, or a related function. SaaS experience is a plus. - Analytical mindset: You're comfortable working with numbers, reviewing pricing and deal structures, and identifying discrepancies or potential risks. - Strong attention to detail: You take pride in accurate work and can manage multiple requests without losing sight of the details. - Problem-solving skills: You enjoy navigating ambiguous situations, researching answers, and finding practical solutions. - Cross-functional communication: You're comfortable partnering with Sales, Finance, Legal, and Operations and can clearly communicate requirements and decisions. - CRM experience: Experience working in Salesforce or another CRM is strongly preferred. - Excel/Sheets skills: Comfortable working with Excel or Google Sheets, including analyzing data and working with formulas. - Organization: You can prioritize competing requests, manage deadlines, and keep work moving in a fast-paced environment. - SaaS experience: Experience working within a SaaS or technology company is preferred but not required. OUR HYBRID WORK PHILOSOPHY 🤝 Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul. OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long. ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world. Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO - Build enterprise-grade AI agents: As an Agent PM at Sierra, you will be responsible for partnering directly with our engineers and customers to build and ship AI agents that handle thousands of customer conversations a day. - Engage with customers: In the role, you will engage with all levels of our customers’ businesses: - Discover and assess their requirements. - Prepare and present demonstrations of Sierra’s agent. - Address and overcome technical challenges in the business process by working with technical counterparts. - Develop and improve Sierra virtual agents to fit and anticipate our customers’ needs and business processes. - Become trusted advisors and drive strategic technical strategies for our customers. - Shape the product roadmap: Work with Sierra’s engineering and product development teams to scope and implement new features essential to the success of your customers. WHAT YOU'LL BRING - 3-5+ years experience in product development of highly technical products. - Past experience in Product Management or other similar product development roles at or above the level of Senior Product Manager. - Experience crafting and tailoring a message for potential customers, including executives. - Ability to communicate highly technical concepts to both non-technical and technically proficient audiences, including recent AI developments. - Professional fluency in both Spanish and English. - Degree in a technical or related field, or equivalent professional experience. EVEN BETTER... - AI-related experience (experience with product development for AI agents a plus). - Some coding experience with React, Typescript, and Go. - MBA or equivalent professional experience (while this is a product management role, you will have the opportunity to lean into broader business roles). - Past roles that interface with end customers to influence software development. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities : Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend practical serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves : Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE. Key employee benefits in the US: 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. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities : Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves : A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice - to - have s : First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. Key employee benefits in the US: 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. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: 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. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Europe / Asia Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About You You are a detail-oriented self-starter with a strong interest in regulatory compliance, digital assets, and AI. You are comfortable researching unfamiliar regulatory topics, organizing complex information, and producing clear first drafts. You are eager to learn how licensing applications and compliance reviews work in practice and can support both structured audit requests and fast-changing client-facing needs. About the Role You will support the Engineering team in regulatory research, licensing analysis, AI output review, and client-deliverable preparation. You will work with client-facing teams, compliance reviewers, and Engineering to organize regulatory knowledge, prepare initial drafts, and convert recurring compliance work into reusable mappings, templates, and workflows. All material regulatory conclusions and client deliverables will be reviewed by an experienced compliance professional. Responsibilities Research and summarize regulatory frameworks and licensing requirements. Support licensing and regulatory-readiness projects, including applicability research, gap analysis, evidence requests, policy review, and application-document preparation. Organize regulatory requirements into structured modules, evidence categories, checklists, and mappings. Review AI outputs for factual consistency, source traceability, missing information, and formatting issues. Prepare initial drafts of compliance analyses, evidence guidance, client reports, pitch-deck content, and review materials. Support the maintenance of regulation-to-service mappings, evidence checklists, and submission-material reuse mappings. Organize customer-provided materials and identify potential evidence gaps for reviewer confirmation. Record reviewer feedback and update templates, evaluation cases, and compliance knowledge assets. Support coordination and request tracking across client-facing teams, compliance reviewers, and Engineering. Escalate unclear regulatory interpretations and unsupported conclusions to experienced reviewers. Requirements Current enrollment in or recent graduation from a program in law, finance, accounting, risk management, public policy, business, computer science, or a related field. Strong research, analytical, and structured-writing skills. Strong attention to detail, particularly when reviewing regulatory sources, citations, and customer materials. Ability to organize complex information into clear checklists, summaries, presentations, and reports. Ability to manage multiple assignments and meet deadlines. Strong written and spoken English; professional Chinese proficiency is preferred but not required. Interest in digital-asset regulation, financial compliance, licensing, or AI-assisted compliance workflows. Familiarity with digital-asset regulation, VASP licensing, or similar regulatory frameworks is preferred. Previous internship, coursework, or project experience in compliance, law, audit, fintech, digital assets, or regulatory research is preferred. Basic understanding of LLM limitations, hallucination risk, source traceability, and human-in-the-loop review is preferred. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: Europe / Asia Workplace: remote About the Company Born from groundbreaking research at Columbia University and Yale University, CertiK is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. About You You are a hands-on compliance professional who understands how regulatory frameworks and licensing applications work from initial scoping through final submission readiness. You can turn complex regulations into clear guidance and client deliverables, manage both structured audit requests and fast-changing BD needs, and know when an issue requires escalation to senior Compliance or Legal. About the Role You will be the first-line compliance owner for AI outputs and related client deliverables. You will support stakeholder groups including client-facing teams and commercial services. You will turn the raw AI output into accurate and usable deliverables, and work as/with Engineering to convert recurring compliance work into reusable workflows and knowledge assets. Responsibilities Analyze and decompose regulatory frameworks and licensing requirements. Support licensing and regulatory-readiness projects, including scoping, applicability analysis, gap assessment, evidence requests, policy review, application preparation, and remediation tracking. Conduct first-line review of AI outputs for regulatory accuracy, evidence support, source traceability, and client suitability. Convert unstructured requests into clear scopes and deliverables, including compliance analyses, and review reports. Support compliance guidance, evidence checklists, submission-material mapping, and licensing deliverables. Work as/with Engineering to build regulatory mappings, templates, review rules, evaluation cases, and structured AI workflows. Escalate high-risk regulatory interpretations and final legal or compliance conclusions to senior reviewers or Legal. Requirements 3 or more years of Engineering experience in compliance, regulatory consulting, digital assets, fintech, financial services, compliance audit, or a law firm. Hands-on experience with at least 1 licensing application, regulatory registration, or end-to-end regulatory-readiness project. Strong understanding of regulatory analysis, evidence review, and licensing documentation. Ability to produce clear guidance, mappings, presentations, and client reports. Strong client communication and cross-functional project-management skills. Ability to manage urgent and ambiguous requests from client-facing team while maintaining quality. Strong written and spoken English; professional Chinese proficiency is preferred but not required. Familiarity with digital-asset regulation, VASP licensing or similar frameworks is preferred. Basic understanding of LLM limitations, hallucination risk, source traceability, and human-in-the-loop review. This role must be performed outside the United States. We are unable to consider candidates who will work from within the U.S.

Location: Boston, Massachusetts; New York, New York About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities As a Presales Solution Architect , you will be part of Workato’s global solution consulting team and architecture community and own the technical alignment with the customer during the pre-sales lifecycle through workshops and interactions that define the customer’s future state for AI agents. If this sounds right up your alley, please apply. We look forward to getting to know you! In this role, y ou will also be responsible to: Own the technical diagnosis, prescription, and validation phases of the sales cycle and advise customers consultatively. Effectively team with AEs, Solution Architects, and other functions to evangelize our platform, approach, and architecture tailored to the customer’s business and drive the technical sales stages to completion. Work closely with Customer Success to make the solution a reality for the customer. Articulate and educate on business, technical and architectural concepts to a variety of audiences, including business and technical teams. Create and deliver custom product demonstrations to support the sales cycle Perform business and technical discovery with customer prospects and be able to architect/build proposed solutions using Workato products Successfully manage and execute technical workshops and proof of concepts (POCs), on-site or remote Able to respond to functional and technical elements of RFIs/RFPs Collect feedback from the field, synthesize, analyze and channel to Product Management and Engineering for product roadmap Responsible for representing the product to customers and at field events such as conferences, seminars, etc. Requirements Qualifications / Experience / Technical Skills BA/BS or equivalent education - Computer Science degree Good pre-sales experience in a SaaS/iPaas organization Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs and Databases Experience with cloud technologies - iPaaS, SaaS applications, cloud infrastructure Soft Skills / Personal Characteristics Ability to learn new concepts, technologies and solve problems. Strong interpersonal skills with the ability to convey and relate ideas to others and work collaboratively to get things done. Excellent presentation abilities and composure in front of all levels of technical and business audiences. Ability to lead architectural discussions. A passion for technology and translating that passion into business impact for customers. Excellent verbal communication, written communication, and presentation skills in front of all audiences. Ability to travel as needed and to work flexible hours throughout the sales territory. (REQ ID: 2793)

Location: South Windsor, CT  ; White Plains, NY Associate Construction Project Manager – Transmission Line Location: New Hampshire / Connecticut / New York (Project-Based) Employment Type: Full-Time Travel: Required (Long-Term Onsite Assignments) Building the High‑Voltage Lines That Power New England Strengthening our nation’s power grid isn’t easy—but reliable electricity is essential to everyday life. Every time someone powers a home, runs a business, or connects to the grid, Michels Power, Inc. is behind the scenes delivering the transmission infrastructure that makes it possible. Michels Power, Inc. is one of the largest and most sought-after power delivery contractors in the United States. We execute the full spectrum of electrical infrastructure projects, including overhead transmission line construction, substations, distribution systems, renewable energy, and industrial power solutions , as well as emergency power restoration. Our transmission work supports critical infrastructure, communities, and economic growth throughout New England and surrounding regions. Position Objective The Associate Construction Project Manager – Transmission Line , under direct supervision, serves as project support by planning, organizing, and implementing project management principles. This position must demonstrate an understanding of how the business operates, how changing circumstances are managed, and who to engage for support when questions arise. Success in this role requires strong written and verbal communication skills, the ability to work independently and as part of a team, meet deadlines, and anticipate and support internal customer needs. Key Responsibilities Promote and maintain a strong safety culture , ensuring compliance with all safety and environmental policies, procedures, and regulations Assist Project Manager(s) in managing projects under direct supervision Support development and tracking of project performance metrics , budgets, and cost controls Assist with cost tracking, labor tracking, scheduling, and reporting Coordinate with field crews, foremen, subcontractors, engineers, and utility representatives Support material procurement, submittals, and equipment tracking Assist with subcontractor management and contract compliance Maintain project documentation including cost reporting, billing, scheduling, and budgeting records Assist with federal/state agency correspondence and reporting Maintain project schedules under supervision Participate in construction-related meetings to support project coordination Assist in proposal preparation, estimating, and quantity take-offs Provide onsite administrative and project support throughout long-term assignments Assist with change management, productivity tracking, and project closeout activities Perform other duties as assigned Required Qualifications Bachelor’s degree in Construction Management, Engineering, Project Management , or related field (or equivalent combination of education and experience) 0–3 years of related experience (transmission line, utility, or heavy civil construction preferred) Valid driver’s license with an acceptable driving record Ability to travel and commit to long-term onsite transmission project assignments Proficiency with Microsoft Office Suite (experience with job cost tracking or estimating software is a plus) Strong organizational and time-management skills with the ability to manage multiple priorities Excellent written and verbal communication skills Demonstrated initiative, adaptability, and willingness to learn and grow Core Developmental Competencies Customer Focus Action Oriented Personal Accountability Drives Results Interpersonal Savvy Values Differences Communicates Effectively Instills Trust Demonstrates Self-Awareness Self-Development Work Environment & Physical Demands Combination of office work and active construction site environments Ability to lift and/or move up to 25 pounds Work may involve a fast-paced environment with frequent interruptions Travel required, including extended onsite assignments Field environments may include exposure to weather conditions, heavy equipment, and moderate to loud noise levels Why Michels Power, Inc.? Ranked No. 1 Electrical Transmission & Distribution Contractor by Engineering News-Record National leader in overhead transmission and substation construction Family-owned company with strong, stable growth Invests approximately $5,000 per employee annually in training and career development Performs high-impact, essential work supporting communities and economic growth Strong company-wide safety culture— everyone is responsible Part of one of North America’s largest and most diversified infrastructure contractors Comprehensive Benefits Medical, Dental, and Life Insurance HSA / FSA Options Short- and Long-Term Disability 401(k) Retirement Plan Legal Assistance & Identity Protection Plans Why You? You want hands-on experience in transmission line and utility construction project management You thrive in field-based, fast-paced environments You’re motivated to learn and grow within the power delivery industry You value teamwork, accountability, and continuous improvement You want to help build infrastructure that powers communities and industry Join a company that powers progress. Be a part of Michels Power, Inc.—where you don’t just build projects, you build a career. #LI-AS1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Amsterdam, Netherlands; London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an Influencer Marketing Manager to grow the presence of Nebius Certification within relevant professional communities and build long-term relationships with creators, industry experts, and ecosystem partners. These initiatives should align with our broader business goals, helping us attract technical professionals and drive adoption across the Nebius ecosystem. You will define how Nebius Certification is represented across professional communities and identify the channels and communities where we should build our presence – from social platforms and industry events to meetups and university programs. 💡 Please note that after applying for this position, you will be required to complete a test assignment. Successfully completing this assignment will be the first step in the interview process. Your responsibilities will include: Develop and execute the influencer and community marketing strategy for Nebius Certification. Identify, recruit, and manage relationships with technical creators, AI practitioners, educators, and industry experts. Build long-term partnerships with developer communities, meetups, conferences, universities, and ecosystem partners. Design and execute influencer campaigns that drive awareness, engagement, and certification adoption. Develop ambassador and advocacy programs to encourage community-led promotion of Nebius Certification. Coordinate collaborations across social media, video platforms, podcasts, newsletters, events, and other relevant channels. Partner with Product Marketing, Content, and Product teams to ensure consistent messaging and campaign execution. Measure the performance of influencer and community initiatives, tracking reach, engagement, conversions, and ROI. Continuously identify emerging communities, creators, and partnership opportunities within the AI and cloud ecosystem. Represent Nebius Certification at industry events, conferences, webinars, and community meetups when appropriate. We expect you to have: 3+ years of experience in product marketing or related marketing roles. Strong sense of ownership and initiative. Experience managing marketing campaigns. Experience with CRM and marketing automation tools (e.g., HubSpot). Strong cross-functional collaboration skills. Excellent time management and prioritization skills. Upper-Intermediate (B2) or higher level of English. Background in or strong interest in AI-powered products. Experience using analytics to drive marketing decisions. Strong attention to detail and commitment to quality. It will be an added bonus if you have: Experience marketing educational programs. Experience with certification programs (AWS, Google Cloud, Azure, etc.). Deep understanding of AI technologies and capabilities. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.