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Open nowPosted 38 days ago

Product Manager

AuxoAI51 open roles

Where
Boston, Massachusetts, United States
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Your applicationOpen nowProduct ManagerAuxoAI · Boston, Massachusetts, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on AuxoAI's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. AuxoAI postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 38 days ago

AuxoAI median: 2 days open

The posting

About AuxoAI: AuxoAI is a global platform-based services firm. We help companies—turn their strategies into practical digital and AI solutions. By understanding how our clients make decisions, we use digital and Artificial Intelligence (AI) technologies to drive growth, enhance their operations, improve customer experiences, and provide clear, actionable insights from their data. 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: • AI Application Development • 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) 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

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