About the Role
Lead the development, adoption, and delivery of AI-powered Marketing and Sales capabilities for enterprise clients. Combine functional expertise, consulting experience, AI product management, and stakeholder leadership to translate business problems into scalable AI solutions. Manage client relationships, mentor teams, and drive AI product implementation from concept to adoption.
Responsibilities
- Lead AI Product Strategy for Marketing & Sales, owning vision, roadmap, and lifecycle.
- Bridge Business and AI Solution Development by translating business problems into AI product requirements.
- Provide Functional Expertise in Go-to-Market Operations, including demand generation, digital marketing, ABM, lead management, pipeline management, customer acquisition, customer success, and revenue operations.
- Drive AI Use Cases Across the Revenue Funnel, including MMM, MTA, Digital Media Strategy & Optimization, Lead Generation, Nurture and Prioritization, MQL/SQL Optimization, Outreach Orchestration, Lead 360 / Customer 360, Next Best Action / Offer, AI powered Sales Operations, and Pipeline Forecasting and Sales Productivity.
- Leverage Marketing & Sales Data Ecosystems, demonstrating understanding of data from CRM, Marketing Automation, CDPs, Digital Analytics, Ad Platforms, Sales Engagement, Customer Success, and other GTM technology stacks.
- Lead Consulting Engagements and Client Relationships, managing executive stakeholders, facilitating workshops, defining business value, prioritizing initiatives, and ensuring successful delivery.
- Manage Cross-functional Delivery Teams across Product Management, Data Science, Engineering, UX, Delivery, and Business Consulting.
- Act as the Product Manager for AI Capabilities, defining product vision, prioritizing features, writing requirements, evaluating performance, driving adoption, and improving products.
- Mentor and Develop Technical Teams, providing functional guidance to FDEs, Data Scientists, Product Analysts, and junior consultants.
- Drive AI Adoption and Change Management by developing business cases, implementation strategies, governance models, success metrics, training materials, and executive communications.
- Stay Current with AI and GTM Innovation, monitoring trends in Generative AI, Agentic AI, predictive analytics, marketing technology, sales technology, and revenue intelligence.
- Contribute to Practice Growth by supporting solution development, reusable accelerators, thought leadership, proposal development, and capability building.
Requirements
- 10–15+ years of experience in consulting, product management, or AI-enabled digital transformation.
- Deep expertise in Marketing and Sales operations.
- Strong understanding of GTM technology ecosystems, CRM, Marketing Automation, RevOps, and customer data platforms.
- Proven experience managing AI/Analytics products and data-driven digital products.
- Experience working with Data, Machine Learning, and Generative AI teams to deliver business solutions.
- Experience leading projects and teams at leading consulting firms.
- Experience managing enterprise client relationships and leading cross-functional delivery teams.
- Strong communication, executive presentation, stakeholder management, and mentoring skills.
Skills
- AI-powered Marketing and Sales capabilities
- Marketing and Sales functional expertise
- Consulting experience
- AI product management
- Stakeholder leadership
- Go-to-Market Operations
- Demand generation
- Digital marketing
- Account-Based Marketing (ABM)
- Lead management
- Pipeline management
- Customer acquisition
- Customer success
- Revenue operations
- Marketing Mix Modeling (MMM)
- Multi-Touch Attribution (MTA)
- Digital Media Strategy & Optimization
- Lead Generation, Nurture and Prioritization
- MQL/SQL Optimization
- Outreach Orchestration
- Lead 360 / Customer 360
- Next Best Action / Offer
- AI powered Sales Operations
- Pipeline Forecasting
- Sales Productivity
- CRM data
- Marketing Automation data
- Customer Data Platforms (CDPs)
- Digital Analytics
- Ad Platforms
- Sales Engagement platforms
- Customer Success platforms
- GTM technology stacks
- Salesforce
- HubSpot
- Marketo
- Adobe
- Google Analytics
- Snowflake
- Databricks
- Product Management
- Data Science
- Machine Learning
- Generative AI
- Engineering
- UX
- Business Consulting
- Change Management
- Executive communication
- Generative AI trends
- Agentic AI trends
- Predictive analytics trends
- Marketing technology trends
- Sales technology trends
- Revenue intelligence trends
Experience Level
- 10–15+ years of experience
