AI product Manager

AuxoAI Inc.; Boston (MA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

AuxoAI Inc. seeks a Consulting Senior Manager to lead the development, adoption, and delivery of AI-powered Marketing and Sales capabilities for enterprise clients.

This role combines deep Marketing and Sales expertise with consulting experience to translate business problems into scalable AI solutions. You will manage executive client relationships, mentor cross-functional teams of data scientists, product managers, and engineers, and drive AI product delivery from concept to adoption, ensuring

Qualifications

• Experience leading AI-enabled marketing and sales engagements.
• Proven ability to manage executive stakeholders and cross-functional teams.
• Strong product management and delivery leadership capabilities.

Responsibilities

• Lead AI Product Strategy for Marketing & Sales.
• Bridge business problems to AI solution requirements.
• Deliver production-ready AI capabilities across the revenue funnel.
• Lead consulting engagements and client relationships.
• Mentor cross-functional teams including data scientists and engineers.
• Define product vision and measure outcomes.

Skills

AI strategy

Go-to-market ops

Client relationship management

Leadership

Tools

Salesforce

HubSpot

Marketo

Adobe

Google Analytics

Snowflake

Databricks

Job description

Boston, United States | Posted on 09/15/2026

What We Do

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:

• Data, Digital and Cloud acceleration using AI
• AI Native Product Engineering

Role Summary

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)
  • Lead Generation, Nurture and Prioritization
  • MQL/SQL Optimization
  • Lead 360 / Customer 360
  • Next Best Action / Offer
  • AI powered Sales Operations
  • Pipeline Forecasting and Sales Productivity

  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.