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The Role
The Sr Product Manager, AI Lead to Cash is responsible for AI strategy, product development, and cross-functional collaboration to enhance revenue processes.
Summary Generated by Built In
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
Functional Skills
Foundational Skills
Education, Experience and Qualifications
Core Competencies Critical to Success
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
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
Skills Required
- Bachelor's degree in Computer Science, Data Science, Information Systems, or related field
- Minimum of 8+ years of product management experience
- At least 1 year focused on AI/ML products
- Experience piloting or implementing AI solutions in enterprise environments
- Experience with AI platforms and frameworks (e.g. Microsoft Co-Pilot, OpenAI)
- Excellent communication skills
- Experience with Agile/SAFe methodologies in AI product development
What the Team is Saying
Belinda
Manager of Network Automation
Tonya
Director of Agile Delivery
Chris
Manager of Engineering Support & Delivery
John Chapman
National Client Sales Director, Cox Automotive
Kib Yahyehyrab
Audit Analysis, Cox Enterprises
Jenny Arias
Marketing & Events Assistant, Cox Farms
Cox Enterprises Compensation & Benefits Highlights
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Retirement Support — Retirement contributions include an enhanced 401(k) with an automatic company contribution plus a dollar‑for‑dollar match, administered by Vanguard. Financial coaching resources and a student‑debt platform integrated with the plan further strengthen long‑term savings support.
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Healthcare Strength — Healthcare coverage offers multiple medical plan options with in‑network preventive care covered at no charge, plus no‑cost virtual mental‑health visits for plan members and access to Calm, Hinge Health, Oshi Health, and a specialty‑medication savings program. Recent enhancements also include supports for menopause and digestive health.
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Parental & Family Support — Family supports include flexible PTO, paid parental leave, fertility coverage via Progyny, adoption assistance, and Care.com access with backup care. Additional resources like Milk Stork and virtual counseling for kids and teens reinforce whole‑family care.
Cox Enterprises Insights
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The Company
What We Do
For well over a century, Cox Enterprises has been shaping the future with daring ideas and values-driven thinking. Since our founding in 1898, our relentless spirit of innovation has driven us to disrupt industries and enhance the quality of life in the communities we serve. Through our major divisions — Cox Communications, Cox Automotive and Cox Farms — our people have countless opportunities to grow and make an impact in the communications and automotive industries, as well as in new ventures in agriculture, cleantech, digital media and more. As a privately-held, family-owned business, we know that people are our most valuable asset. We offer a supportive and inclusive environment with flexible career growth, amazing benefits and work-life balance at the forefront. Our mission, our ways of working and our commitment to people are what make our workplace culture remarkably flexible and resilient. Join us to build a better future and make your mark.
Why Work With Us
At our core, Cox is a technology company that values human relationships. We know people feel most empowered when their work has meaning, when they feel respected and have opportunities to grow. “Career satisfaction” is not enough at Cox — we’re here to help you find balance, live well and achieve your career goals even as they change over time.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Every person has different working styles and preferences — and we aim to empower teams to work where they are most comfortable. Some roles require in-person work, but for those that can be performed remotely, we offer flexibility.
Typical time on-site:
Flexible
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