Sr Product Manager, AI Lead to Cash

Cox Enterprises•Atlanta, GA

15h•Hybrid

About The Position

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.

Requirements

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.
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.
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.
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.
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.
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.
Bachelor’s degree in Computer Science, Data Science, Information Systems, or related field and 4 years’ experience.
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

Responsibilities

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.
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.
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.
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.
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.
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.
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.
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.

Benefits

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
up to 160 hours of paid wellness annually for their own wellness or that of family members
bereavement leave
time off to vote
jury duty leave
volunteer time off
military leave
parental leave
health care insurance (medical, dental, vision)
retirement planning (401(k))
paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO)