ZipRecruiter

Log In

1

Quote To Cash Process Jobs (NOW HIRING)

next page

Showing results 1-20

People also search for

All JobsQuote To Cash Process Jobs

Quote To Cash Process information

See salary details

$49.5K

$92K

$142.5K

How much do quote to cash process jobs pay per year?

As of Jun 5, 2026, the average yearly pay for quote to cash process in the United States is $92,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Quote to Cash (QTC) Process role, and why are they important?

Success in the Quote to Cash process requires strong analytical skills, attention to detail, and a solid understanding of sales operations and order management, often supported by a background in business administration or finance. Familiarity with CRM and ERP systems like Salesforce and SAP, as well as experience with pricing tools and billing software, is typically essential. Excellent communication, problem-solving abilities, and a customer-focused mindset help professionals manage cross-functional collaboration and resolve issues efficiently. These skills ensure seamless revenue flow, accurate order fulfillment, and positive customer experiences throughout the sales cycle.

What are some common challenges faced in the Quote to Cash (QTC) process role, and how can they be addressed?

Professionals in Quote to Cash roles often encounter challenges such as managing complex pricing structures, ensuring timely approvals, and maintaining data accuracy across multiple systems. Effective communication with sales, finance, and operations teams is crucial to resolve discrepancies and streamline workflows. Leveraging automation tools and staying updated on best practices can help address these issues, reduce errors, and improve overall efficiency within the QTC cycle.

What is the Quote to Cash process?

The Quote to Cash (Q2C or QTC) process refers to the end-to-end business workflow that starts with creating a quote for a customer and ends with receiving payment for the delivered product or service. It encompasses all the steps from quoting, proposal management, configuring products or services, negotiating pricing, order management, invoicing, and revenue recognition. Efficient management of the QTC process helps organizations improve sales efficiency, reduce errors, and enhance customer satisfaction. Many companies use specialized software to automate and streamline these steps.

What is the difference between Quote To Cash Process vs Sales Operations Specialist?

AspectQuote To Cash ProcessSales Operations Specialist
Primary FocusManaging the entire sales cycle from quoting to revenue collectionSupporting sales team with processes, tools, and data analysis
ResponsibilitiesPricing, contract management, invoicing, revenue recognitionSales data management, CRM administration, process optimization
Skills & CertificationsKnowledge of billing, finance, CRM systems; certifications like CPQ or ERP familiarityCRM tools, data analysis, communication skills; certifications in Salesforce or sales operations

While both roles support sales functions, the Quote To Cash Process focuses on executing the entire sales revenue cycle, whereas the Sales Operations Specialist primarily supports sales teams with tools, data, and process improvements to enhance efficiency.

More about Quote To Cash Process jobs
What cities are hiring for Quote To Cash Process jobs? Cities with the most Quote To Cash Process job openings:
What states have the most Quote To Cash Process jobs? States with the most job openings for Quote To Cash Process jobs include:
What job categories do people searching Quote To Cash Process jobs look for? The top searched job categories for Quote To Cash Process jobs are:
Quote To Cash Process jobs near you
Sr Product Manager, AI Lead to Cash

Sr Product Manager, AI Lead to Cash

Cox Automotive

Lithia Springs, GA • On-site

$101K - $169K/yr

Full-time

PTO

Posted 27 days ago

Cox Automotive rating

7.8

Company rating: 7.8 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

90th of 138 rated financial services

Job description

The Senior Product Manager, AI Lead to Cash, focuses on developing and implementing AI-powered solutions that enhance and transform Lead to Cash processes across the organization. This role will be responsible for establishing the overall AI strategy for Lead-to-Cash capabilities, evaluating emerging AI technologies, and delivering intelligent automation and augmentation tools to streamline sales, quoting, contracting, order management, billing, and revenue recognition workflows.
Key Responsibilities
  • AI Strategy & Vision: Provide leadership in defining and executing the short to mid-term AI strategy for Lead to Cash process enablement, including the creation and execution of AI product development plans, budget allocation, and definition of AI capability requirements that support sales cycle efficiency, revenue operations, and end-to-end Lead to Cash workflow optimization.
  • Cross-Functional AI Integration: Drive alignment across Sales, Finance, Operations, and Technology teams by identifying opportunities for AI implementation that enhance Lead to Cash efficiency, automate manual tasks, reduce cycle times, and provide intelligent insights for better revenue decision-making.
  • AI Product Development: Take responsibility for meeting the "definition of ready" for AI-powered Lead to Cash tools and capabilities, ensuring they address real process pain points across quoting, contracting, order management, billing, and collections, and deliver measurable operational gains.
  • Stakeholder Collaboration: Work closely with Sales, Finance, Legal, Operations, and Enterprise Technology leaders to understand Lead to Cash process needs, identify AI automation opportunities, and develop AI-powered solutions that accelerate revenue cycles and improve data accuracy.
  • AI Performance Metrics: Define and establish key performance indicators (KPIs) specific to AI adoption within Lead to Cash workflows, including cycle time reduction, quote-to-close rates, billing accuracy, revenue leakage reduction, and ROI metrics that demonstrate the business value of AI implementations.
  • Technology Partnerships: Foster effective relationships with AI vendors, technology partners, and internal stakeholders to ensure access to cutting-edge AI capabilities integrated within Lead to Cash platforms such as CRM, CPQ, CLM, and billing systems.
  • AI Thought Leadership: Contribute to Enterprise Technology thought leadership regarding AI best practices within Lead to Cash processes, ethical AI implementation, and change management strategies for AI adoption across revenue operations teams.
  • AI Enablement & Training: Contribute to the development and execution of AI literacy programs, training initiatives, and go-to-market strategies for AI-powered Lead to Cash tools and capabilities.

Functional Skills
  • AI & Analytics Expertise: Possesses skilled knowledge of AI/ML technologies, including natural language processing, predictive analytics, and generative AI as applied to sales and revenue operations use cases. Ability to evaluate AI solutions for feasibility, scalability, and business impact within Lead to Cash contexts. Understands how to leverage AI for contract intelligence, revenue forecasting, anomaly detection, and intelligent process automation.
  • Lead to Cash Domain Knowledge: Deep understanding of end-to-end Lead to Cash processes, including lead management, opportunity-to-quote, CPQ (Configure, Price, Quote), contract lifecycle management, order management, billing, invoicing, collections, and revenue recognition. Ability to identify AI-driven improvements at each stage of the revenue cycle.
  • Technology & AI Platform Acumen: Deep understanding of enterprise AI platforms, cloud-based AI services (Anthropic, AWS, Salesforce AgentForce, Google Cloud AI, etc.), and emerging AI technologies as they apply to CRM, CPQ, CLM, and ERP systems. Skilled in assessing AI tools for integration with existing Lead to Cash technology stacks.
  • Product Management: Skilled knowledge of AI product lifecycle management, from proof of concept through production deployment within revenue operations environments. Experience with AI model governance, monitoring, and continuous improvement. Ability to translate complex AI capabilities into user-friendly tools that sales, finance, and operations teams can leverage effectively.
  • Change Management for AI Adoption: Expertise in driving organizational change related to AI implementation within revenue operations, including addressing concerns about automation, building trust in AI-driven recommendations, and ensuring smooth transitions to AI-augmented Lead to Cash workflows.
  • Data Strategy & Governance: Understanding of data requirements for AI systems within Lead to Cash environments, including CRM data quality, contract data, pricing data, and financial data. Ability to work with data teams to ensure AI solutions have access to appropriate, high-quality data while maintaining compliance and privacy standards.

Foundational Skills
  • Builds AI-Ready Culture: Proactively builds partnerships across Sales, Finance, and Operations to foster an AI-positive culture within Lead to Cash teams, helping stakeholders understand and embrace AI as a productivity and revenue enablement tool.
  • Engages Revenue Operations Stakeholders: Facilitates discussions about AI possibilities and limitations within Lead to Cash contexts, seeking input from end-users across the revenue cycle to ensure AI solutions address real process gaps and enhance team effectiveness.
  • Guides AI Implementation Success: Ensures Lead to Cash AI initiatives have clear objectives, success metrics, and adoption strategies. Helps teams understand how AI will augment their capabilities and improve revenue outcomes.
  • Leads Digital Transformation: Champions the integration of AI into Lead to Cash workflows, helping the organization evolve its revenue operating model to fully leverage AI capabilities while maintaining human oversight and sound governance principles.

Education, Experience and Qualifications
  • Bachelor's degree in Computer Science, Data Science, Information Systems, or related field and 4 years' experience. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16 years' experience in a related field
  • Minimum of 4+ years of experience in product management, with at least 1 years specifically focused on AI/ML products
  • Proven experience piloting or implementing AI solutions in enterprise environments
  • Demonstrated success in deploying AI tools that improve employee productivity and operational efficiency
  • Experience with AI platforms and frameworks (Microsoft Co-Pilot, OpenAI, Anthropic, SFDC AgentForce, Etc.)
  • Strong understanding of responsible AI principles, bias mitigation, and AI governance
  • Excellent communication skills with the ability to translate complex AI concepts for non-technical stakeholders
  • Experience with Agile/SAFe methodologies in AI product development
  • Track record of measuring and demonstrating ROI for AI initiatives
  • Experience with change management and driving AI adoption across organizations
  • Ability to understand and articulate various internal and external customer needs
  • Proven self-starter who can proactively engage with the business, stakeholders, and peer base

Core Competencies Critical to Success
  • Balances innovation with practical concerns and manages AI integration with existing systems.
  • Keeps pace with the rapidly evolving AI landscape, identifying opportunities for internal use.
  • Develops long-term AI roadmaps aligned with business goals and anticipates future trends to prepare the organization for emerging capabilities.
  • Creates scalable AI strategies that evolve with organizational needs.
  • Champions responsible AI practices, ensuring ethical considerations, and building trust through transparency and explainability.
  • Ensures AI solutions support human judgment where appropriate and bridges technical and business teams to deliver practical solutions.
  • Facilitates AI literacy and capacity building, fostering environments where AI complements human expertise.

USD 101,500.00 - 169,100.00 per year
Compensation:
Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.
Benefits:
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
EOE, including disability/vets

What Cox Automotive employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Cox Automotive logo

About Cox Automotive

Sourced by ZipRecruiter

At Cox Automotive, people of every background are driven by their passion for mobility, innovation and community. We transform the way the world buys, sells, owns and uses cars, accelerating the industry with global powerhouse brands like Autotrader, Kelley Blue Book, Manheim and more. What's more, we do it all with an emphasis on employee growth and happiness. Drive your future forward and join Cox Automotive today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark? Join us today! Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page . Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship. Statement to ALL Third-Party Agencies and Similar Organizations: Cox accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Cox employees, Cox hiring manager, or send to any Cox facility. Cox is not responsible for any fees or charges associated with unsolicited resumes.

Industry

Automobile dealers and technology, communication and media

Company size

5,001 - 10,000 Employees

Headquarters location

Atlanta, GA, US

View All Cox Automotive Jobs

Apply