Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Agile @ 3
Change Management @ 3
GPU @ 3
Jira @ 6
Kubernetes @ 2
Machine Learning
Networking @ 6
Project Management @ 5
Reporting @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nebius is building a full-stack AI cloud platform supporting developers and enterprises from data and model training through production deployment. The company operates cloud infrastructure across compute, storage, networking, and applied AI, with a global footprint and R&D hubs across Europe, the UK, North America, and Israel.
The Technical Program Manager will coordinate technical execution within the US Post-Sales organization. The role focuses on making customer delivery predictable and scalable by maintaining execution plans, technical dependencies, ownership, customer health, and operational processes. The position is remote within the United States, and candidates must be based on the East Coast.
Responsibilities
- Coordinate technical execution across US Post-Sales customers, maintaining plans, dependencies, risks, ownership, and status.
- Own and improve the Pre-Sales to Post-Sales transition, including customer architecture, technical requirements, dependencies, documentation, and ownership handover.
- Partner with architects and engineers to translate production requirements into execution plans and identify technical gaps or dependencies.
- Identify weaknesses in Post-Sales processes and design, implement, and measure practical improvements.
- Build and maintain reporting on customer health, technical issues, risks, blockers, team capacity, and Post-Sales initiatives.
- Own and continuously improve Jira boards, workflows, automation, dashboards, and reporting used for Post-Sales execution.
- Create and maintain processes, procedures, playbooks, templates, and technical and operational documentation.
Requirements
- 5+ years of experience in technical program management, technical project management, technical delivery, or a related role.
- Strong understanding of cloud infrastructure, including compute, storage, networking, and production cloud environments.
- Strong technical fluency, including the ability to understand customer architectures, system dependencies, technical constraints, and operational risks.
- Experience coordinating technically complex initiatives across Engineering, Product, architects, and other technical teams.
- Ability to translate technical requirements into structured execution plans and identify missing dependencies or readiness criteria.
- Ability to read, understand, and write technical documentation related to cloud infrastructure and customer environments.
- Advanced hands-on Jira experience, including boards, workflows, automation, dashboards, and reporting.
- Proven experience identifying, designing, and implementing process improvements.
- Experience creating and maintaining processes, procedures, playbooks, templates, and operational documentation.
- Knowledge of change management practices and techniques.
- Fluent English.
Preferred Qualifications
- Experience with Post-Sales, Customer Engineering, Solutions Architecture, Professional Services, or Technical Support.
- Experience working with AI/ML infrastructure or GPU-based workloads.
- Familiarity with Kubernetes, workload schedulers, or large-scale compute environments.
- Knowledge of service delivery methodologies and frameworks such as PMI, ITIL, or Agile.
- Experience working in a globally distributed technology organization.
Benefits
- 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan with up to 4% company match and immediate vesting.
- 20 weeks of paid parental leave for primary caregivers and 12 weeks for secondary caregivers.
- Remote work reimbursement of up to $85 per month for mobile and internet.
- Company-paid short-term disability, long-term disability, and life insurance coverage.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment and talented teams.
Applicants must be authorized to work in the country in which they apply and must provide proof of employment eligibility as a condition of hire.