Technical Program Manager - Post-Sales
About the job
- At least 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 and 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 proactively 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.
- Applicants must be authorized to work in the country in which they apply and provide proof of employment eligibility as a condition of hire.
- Coordinate technical execution across US Post-Sales customers, maintaining clear 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.
- Proactively identify weaknesses in Post-Sales processes and design, implement, and measure practical improvements.
- Build and maintain reporting on customer health, core 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.
- 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.
About the company
Nebius Group N.V. is a publicly listed Amsterdam-based company that builds full-stack AI infrastructure. Its offerings include large GPU clusters, cloud services tailored for AI, and developer tools, all designed to run AI workloads at a global scale. After spinning out its Russian assets in 2024, Nebius realigned to provide high-capacity AI platforms, operate dedicated data centers, and supply ecosystems of technical support, data, and hardware. Its products work by delivering end-to-end control of the AI value chain, from the physical hardware to software services and cloud-like capabilities, across multiple geographies. Nebius differentiates itself from major traditional cloud providers by offering integrated, owner-operated data centers and a complete stack focused on AI, rather than simply reselling generic cloud resources. The company's goal is to be a practical alternative to large cloud providers, giving customers more control, reliability, and scale for AI workloads.
Company Size
1,001-5,000
Company Stage
IPO
Headquarters
Amsterdam, Netherlands
Founded
1997
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Simplify's Take
What believers are saying
- Q2 2026 revenue rose 454% to $582.3 million, with AI cloud up 514%.
- Nebius raised Token Factory prices on October 1, proving pricing power amid shortages.
- AIB’s 50MW lease expands U.S. capacity and extends Nebius’s deployment pipeline.
What critics are saying
- Three customers drove 59% of Q2 revenue, creating severe concentration risk.
- Q2 capex hit $5.7 billion against $582.3 million revenue, forcing continual financing.
- $20 billion-$25 billion 2026 capex and convertibles invite dilution before 2027 capacity.
What makes Nebius unique
- Nebius is AI-native infrastructure, not a retrofitted hyperscaler, built for GPU workloads.
- Palantir named Nebius its preferred sovereign AI infrastructure partner on September 8, 2026.
- Meta’s five-year deal reached $27 billion, validating Nebius’s capacity-led model.
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Benefits
Health Insurance
401(k) Company Match
Parental Leave
Remote Work Options
Disability Insurance
Life Insurance
Hybrid Work Options
Professional Development Budget
Growth & Insights and Company News
6 month growth
↑ 5%1 year growth
↓ -1%2 year growth
↓ -3%Nebius, a Netherlands-based AI infrastructure company, has seen its stock surge from $14.29 at its October 2024 debut to around $220 currently, after peaking at $286.69 in June 2026. The company, formerly known as Yandex, transformed into a "neocloud" provider after divesting its Russian assets following 2022 sanctions. Nebius operates AI-focused data centers across Finland, Iceland, and the US, with 14 more planned. Revenue jumped 351% to $530 million in 2025, whilst first-half 2026 revenue soared 529% year-over-year to $981 million. The company's contracted backlog exceeded $40 billion by mid-2026. Analysts project 2027 revenue of $12.3 billion and adjusted EBITDA of $6.6 billion. Trading at 8 times forward sales, the stock appears undervalued despite concerns about profitability and rising debt from its capital-intensive expansion strategy.
Jim Cramer expressed a preference for CoreWeave over Nebius on Mad Money, citing concerns about Nebius's recent price movement. The valuation gap between the two AI infrastructure companies is substantial. CoreWeave generated $2.575 billion in second-quarter revenue, up 112% year-over-year, compared with Nebius's $582.3 million, which grew 454%. CoreWeave reported approximately $104 billion in revenue backlog. Nebius trades at 46.30 times trailing sales and 47.03 times enterprise value to revenue. CoreWeave trades at 5.97 times sales and 12.38 times enterprise value to revenue, making Nebius's valuation multiples roughly four to seven times higher. Both companies face capital intensity challenges. CoreWeave carried $35.6 billion in total debt as of 30 June, whilst Nebius recorded $8.13 billion in property and equipment purchases during the first half. Hedge fund ownership increased for both companies in the second quarter.
Nebius shares have surged 181% this year to $235.88, driven by a $27 billion five-year deal with Meta and a $2 billion equity investment from NVIDIA. The AI cloud company holds a $37.5 billion backlog and reported second-quarter revenue growth of 454%. However, significant risks remain. Three customers account for 59% of revenue, and the company faces capital expenditure guidance of $20-25 billion. Convertible notes carry a fair value of $20.8 billion, creating substantial dilution risk. Second-quarter capex of $5.66 billion far exceeded operating cash flow of $2.25 billion. Management expects over $9 billion in customer prepayments this year, with recent deals covering 50-60% of associated capex. Analysts see 20% upside to $284, but the stock trades 21% below its 52-week high. Execution remains critical as the company must convert deployed capacity into revenue before its next financing round.
Nebius has signed a 12-year agreement with AIB Data Centers for 50 MW of critical IT capacity at a site in the southeastern US. The deal includes optional renewals, though financial terms were not disclosed. AIB said customer prepayments, along with project-level debt and preferred equity, should fund a substantial portion of initial development costs. The capacity is backed by a 15-year electric service agreement for 65 MW of utility load and will be delivered across two data halls. Nebius provides AI cloud infrastructure for developers and enterprises. Andrey Korolenko, the company's chief product and infrastructure officer, said time-to-power is the binding constraint on AI infrastructure today.
Two AI infrastructure companies, Innodata and Nebius Group, offer contrasting investment profiles as demand for generative AI capabilities accelerates. Innodata provides data engineering and human expertise for AI model training, serving five of the "Magnificent Seven" tech giants. The company reported FY 2025 revenue of nearly $252 million, up 48% year-over-year, with net income of approximately $32.2 million. It operates debt-free with strong cash generation. Nebius Group operates cloud infrastructure for AI model development. The former Yandex unit pivoted to AI in 2025, achieving explosive growth with FY 2025 revenue reaching nearly $530 million, up roughly 350% year-over-year. Net income was approximately $102 million, though the company posted a free cash flow loss of nearly $3.7 billion due to capital spending. Innodata faces customer concentration risk, with one client accounting for nearly 58% of 2025 revenue. Nebius competes against hyperscalers like Amazon and Microsoft whilst managing capital-intensive infrastructure expansion. Despite a higher price-to-sales ratio of 42.6x versus Innodata's 7.3x, Nebius's lower forward P/E of 37.8x and projected $3.3 billion in 2026 sales present stronger growth prospects.