The Role
Lead AI product strategy and delivery for Marketing & Sales, translating GTM problems into scalable AI solutions. Manage executive client relationships, prioritize initiatives, and coordinate cross-functional teams to deliver AI capabilities (MMM, MTA, customer 360, pipeline forecasting, next-best-action). Mentor teams, drive adoption, build governance and success metrics, and contribute to practice growth.
Summary Generated by Built In
We are looking for a Consulting Senior Manager to lead the development, adoption, and delivery of AI-powered Marketing and Sales capabilities for enterprise clients. This individual will combine deep functional expertise in Marketing and Sales, consulting experience, AI product management, and stakeholder leadership to translate business problems into scalable AI solutions. The role requires managing client relationships, mentoring cross-functional teams, and driving successful implementation of AI products from concept to adoption.
Key Responsibilities
- Lead AI Product Strategy for Marketing & Sales
Own the vision, roadmap, and lifecycle of AI-enabled Marketing and Sales capabilities, ensuring alignment with business priorities and measurable client outcomes.
- Bridge Business and AI Solution Development
Translate Marketing and Sales business problems into AI product requirements, working closely with data scientists, ML engineers, and software development teams to deliver production-ready solutions.
- Provide Functional Expertise in Go-to-Market Operations
Bring deep understanding of Marketing and Sales 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
Lead solution design and implementation for AI capabilities such as:
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 and Sales Productivity
- Leverage Marketing & Sales Data Ecosystems
Demonstrate strong understanding of the data generated across CRM, Marketing Automation, CDPs, Digital Analytics, Ad Platforms, Sales Engagement, Customer Success, and other GTM technology stacks. Experience with platforms such as Salesforce, HubSpot, Marketo, Adobe, Google Analytics, Snowflake, Databricks, or similar is preferred.
- Lead Consulting Engagements and Client Relationships
Manage executive client stakeholders, facilitate discovery workshops, define business value, prioritize initiatives, and ensure successful delivery of consulting engagements while maintaining strong client satisfaction.
- Manage Cross-functional Delivery Teams
Coordinate work across Product Management, Data Science, Engineering, UX, Delivery, and Business Consulting teams to ensure timely, high-quality delivery of AI solutions.
- Act as the Product Manager for AI Capabilities
Define product vision, prioritize features, write business requirements, evaluate product performance, drive user adoption, and continuously improve AI products based on business feedback and measurable outcomes.
- Mentor and Develop Technical Teams
Coach, mentor, and provide functional guidance to Full Stack Developers (FDEs), Data Scientists, Product Analysts, and junior consultants, helping them understand business context and build scalable AI solutions.
- Drive AI Adoption and Change Management
Enable client organizations to successfully adopt AI capabilities by developing business cases, implementation strategies, governance models, success metrics, training materials, and executive communications.
- Stay Current with AI and GTM Innovation
Monitor emerging trends in Generative AI, Agentic AI, predictive analytics, marketing technology, sales technology, and revenue intelligence, incorporating innovations into client solutions and product roadmaps.
- Contribute to Practice Growth
Support solution development, reusable accelerators, thought leadership, proposal development, and capability building for the Marketing & Sales AI consulting practice.
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 at 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 Required
- 10-15+ years of experience in consulting, product management, or AI-enabled digital transformation.
- Deep expertise in Marketing and Sales operations (demand generation, digital marketing, ABM, lead management, pipeline management, customer acquisition, RevOps).
- 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.
- Experience with platforms such as Salesforce, HubSpot, Marketo, Adobe, Google Analytics, Snowflake, Databricks.
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The Company
What We Do
AuxoAI partners with enterprise leaders to build AI systems, enabling the creation of AI-first enterprises by moving from AI strategy to production-grade deployed systems in weeks.
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