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1 день назад

Director, Customer Service - Order to Cash (Order-to-Cash Transformation)

140 800 - 251 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Director, Customer Service - Order to Cash (Order-to-Cash Transformation): Leading the transformation and sustained performance of CT’s end-to-end order-to-cash process with an accent on customer experience, billing accuracy, payment speed, revenue realization, and receivables performance. Focus on setting strategy, governing improvement roadmaps, assessing commercial proposals, coordinating cross-functional delivery, and measuring financial and operational results.

Location: Hybrid, minimum 8 days per month in the New York City office; up to 10% domestic travel. Applicants may be required to attend onsite interviews.

Salary: $140,800–$251,500 USD annually, plus bonus eligibility.

Company

hirify.global provides information, software, and services for professional and business customers.

What you will do

  • Set CT’s end-to-end order-to-cash strategy, process and policy priorities, shared goals, and performance measures across Product, Finance, FSS, technology, Service, Sales, and other stakeholders.
  • Own and govern a prioritized improvement roadmap, including decision rights, accountable owners, capacity, milestones, dependencies, benefits, success measures, escalation paths, and implementation gates.
  • Analyze customer feedback, complaints, invoices, payments, disputes, collections data, and AR aging to identify root causes involving billing accuracy, payment friction, unapplied payments, and overdue receivables.
  • Assess pricing, discounts, packaging, billing models, payment models, and new product proposals for feasibility, system and process impact, cost, complexity, and financial return.
  • Oversee policy, process, technical, and operational improvements; coordinate pilots, implementation, communications, training, and adoption with partner functions.
  • Maintain a CT scorecard, measure customer and financial outcomes, require corrective actions, and decide whether initiatives should continue, change, or stop.

Requirements

  • At least 10 years of progressive experience in finance operations, billing, or business process improvement, including at least 5 years leading order-to-cash design, improvement, or transformation.
  • Deep order-to-cash expertise across order setup, billing, receivables, payment application, collections, and revenue realization in a complex B2B business with subscription and transactional revenue.
  • Experience leading at least one end-to-end order-to-cash transformation from current-state assessment and stakeholder alignment through process and system changes, launch, stabilization, and measurable results.
  • Working experience with ERP systems and Salesforce, including assessing the impact of commercial proposals on billing, payments, receivables, controls, implementation cost, and financial returns.
  • Experience improving order-to-cash controls and understanding control objectives and control-owner responsibilities.
  • Ability to make decisions and drive accountability across Product, Sales, Service, Finance, shared services, and technology teams without direct authority over each team.
  • Strong customer journey and root-cause analysis skills, financial judgment, and clear communication with operational teams and senior leaders.

Culture & Benefits

  • Hybrid work arrangement with a minimum of 8 days per month in the New York City office.
  • Medical, dental, and vision plans.
  • 401(k), FSA/HSA, commuter benefits, and tuition assistance.
  • Vacation, sick time, and paid parental leave.
  • Cross-functional work with Product, FSS, Finance, Technology, Service, Sales, Legal, and Data & Analytics teams.

Hiring process

  • Interviews are conducted without AI tools or external prompts and may include in-person participation.
  • Virtual backgrounds must be removed during interviews; AI-generated responses or third-party interview support may lead to disqualification.

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