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Nebius

Sr. Manager, Quote-to-Cash Transformation

United States

Location
United States
Work
Not stated
Employment
Not stated
Level
Manager
Function
Sales
Pay
$134K – $167K a year
Posted
5 months ago

About the role

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.

Role Overview

We are seeking a hands-on transformation leader to redesign and scale the end-to-end Quote-to-Cash process, with an initial focus on the journey from deal initiation through customer activation.

You will lead cross-functional transformation initiatives that eliminate friction, standardize processes, strengthen governance, and embed automation across quoting, approvals, contracting, billing setup, and activation. The goal is to improve deal velocity, accuracy, predictability, and scalability as the business grows.

This is a 0→1 and 1→n transformation role. You will assess the current state, define the target operating model and transformation roadmap, and drive implementation across processes, policies, systems, data, and ways of working. You will partner closely with Sales, Commercial Ops, Legal, Finance, GTM Ops, GTM Systems, Billing Engineering, and Billing Product.

Responsibilities

  • Lead the transformation of the end-to-end Quote-to-Cash lifecycle, initially focusing on deal initiation, structuring, approval, contracting, billing setup, and customer activation.
  • Assess current-state processes, identify root causes of friction and rework, and define a scalable future-state operating model.
  • Develop and execute a prioritized transformation roadmap spanning processes, policies, systems, data, controls, and organizational responsibilities.
  • Redesign complex, fragmented, or manual workflows to improve speed, accuracy, automation, and the customer and seller experience.
  • Define and implement policies, governance frameworks, approval authorities, and deal guardrails that enable scale without unnecessarily slowing the business.
  • Partner with Sales and Commercial Ops to improve deal quality and enable first-time-right deal structuring.
  • Collaborate with Legal and Finance to simplify approvals, standardize contract terms, and maintain appropriate commercial and financial controls.
  • Work with GTM Systems to embed workflows, policies, data requirements, and controls into CRM, CPQ, contract management, and related tools.
  • Partner with Billing Engineering and Billing Product to create a reliable and increasingly automated flow from order form to billing and customer activation.
  • Standardize the handling of complex deal constructs, including usage-based pricing, multi-year agreements, ramp structures, prepayments, and custom commercial terms.
  • Establish clear ownership, handoffs, and service expectations across teams involved in the Quote-to-Cash lifecycle.
  • Develop playbooks, guidance, and change-management programs that drive adoption of new processes and tools.
  • Establish transformation metrics and track improvements in cycle time, approval time, rework, policy adherence, billing accuracy, activation accuracy, and time-to-revenue.
  • Lead cross-functional programs from design through implementation, adoption, and measurable business impact.

What You Will Transform

  • A fragmented deal lifecycle into a scalable, integrated Quote-to-Cash operating model.
  • Manual and inconsistent processes into standardized, automated workflows.
  • Reactive deal escalation into clear policies, decision rights, and approval frameworks.
  • Disconnected order forms and billing setup into a reliable contract-to-billing-to-activation flow.
  • Limited process visibility into measurable performance, clear accountability, and continuous improvement.
  • Institutional knowledge into repeatable playbooks, system controls, and scalable operating practices.

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

$134,000—$167,000 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.

Source

Posted by Nebius on their own hiring page, careers.nebius.com. OptiTalent shows it as published, read 07 Nov 2026 03:08 UTC; the original is the reference.

View the original ad ↗

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