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About the Role
We are seeking a Consulting Senior Manager to lead the development, adoption, and delivery of AI-powered Marketing and Sales capabilities for enterprise clients. This role requires combining functional expertise in Marketing and Sales, consulting experience, AI product management, and stakeholder leadership to translate business problems into scalable AI solutions. The position involves managing client relationships, mentoring cross-functional teams, and driving the successful implementation of AI products from concept to adoption.
Responsibilities
- Lead AI Product Strategy for Marketing & Sales, owning the vision, roadmap, and lifecycle of AI-enabled capabilities.
- Translate Marketing and Sales business problems into AI product requirements, collaborating with data scientists, ML engineers, and software development teams.
- 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 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, 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, coordinating work 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 business requirements, evaluating performance, and driving user adoption.
- Mentor and Develop Technical Teams, coaching Full Stack Developers (FDEs), Data Scientists, Product Analysts, and junior consultants.
- Drive AI Adoption and Change Management.
Requirements
- Deep functional expertise in Marketing and Sales.
- Consulting experience.
- AI product management experience.
- Stakeholder leadership experience.
- Experience with platforms such as Salesforce, HubSpot, Marketo, Adobe, Google Analytics, Snowflake, Databricks, or similar is preferred.
- Strong understanding of the data generated across CRM, Marketing Automation, CDPs, Digital Analytics, Ad Platforms, Sales Engagement, Customer Success, and other GTM technology stacks.
Skills
- AI Application Development
- Data, Digital and Cloud acceleration using AI
- AI Native Product Engineering
- 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
- Salesforce
- HubSpot
- Marketo
- Adobe
- Google Analytics
- Snowflake
- Databricks
Experience Level
- Senior Manager
About the Company
- AuxoAI is a global platform-based services firm that helps companies turn their strategies into practical digital and AI solutions.
- We leverage digital and Artificial Intelligence (AI) technologies to drive growth, enhance operations, improve customer experiences, and provide clear, actionable insights from data.
- We work across various industries such as healthcare, high-tech, consumer packaged goods (CPG), finance etc., and in sales, marketing, and customer support functions.
- We help our clients with accelerating their digital and AI journeys through AI Application Development, Data, Digital and Cloud acceleration using AI, and AI Native Product Engineering.