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Group Product Manager, AI and Data Strategy

  • Source: LinkedIn
  • Elite Technology
  • Remote
  • New York City
  • Full-Time
  • Senior

Job Description

Elite is the trusted automation platform for law firm operations across most of the world’s largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite’s products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.

Position Overview

The Group Product Manager, AI & Data Strategy is a senior product leader responsible for defining and executing Elite’s AI and data product vision across a complex, mission-critical Legal ERP platform. This role sits at the intersection of product strategy, data infrastructure, platform partnerships, and go-to-market execution, with a mandate to modernize how customers migrate to the cloud and unlock value from their data. This is a highly visible, high-impact role central to Elite’s long-term growth, platform differentiation, and scalable value creation.

 

Work Arrangement:

​

Remote

​

, United States

 

This role requires the individual to be based in 

​

Eastern Standard Time (EST) or Central Standard Time (CST)

​

 . 

 

Responsibilities

  • Own and evolve the AI and data product vision, aligning customer needs, platform capabilities, and Elite’s long-term cloud strategy.
  • Define and prioritize the roadmap for data platforms, analytics, AI/ML capabilities, and integrations supporting Legal ERP and financial workflows.
  • Translate complex infrastructure and data decisions into clear, customer-centric product strategies that balance modernization with day-to-day operational needs.
  • Partner closely with Platform, Engineering, and Strategic Partners to ensure infrastructure investments support scalability, security, performance, and future value delivery.
  • Act as the product voice in infrastructure and architectural prioritization, ensuring focus on the capabilities that drive customer outcomes and revenue impact.
  • Lead pricing, packaging, and positioning for AI- and data-driven offerings, defining value metrics and commercial models that clearly communicate ROI.
  • Enable Sales and Services teams with clear narratives, value propositions, and 

    enablement

     materials for AI and data capabilities.

  • Accountable for adoption, retention, and revenue impact of AI and data capabilities.
  • Uses

     customer insights, usage data, and financial metrics to guide prioritization.

  • Lead

    , mentor, and scale a high-performing product management team while 

    remaining

     hands-on and execution-oriented in the near term.

  • ​

    ​

    Perform other duties as assigned to support departmental and company objectives.

    ​

Qualifications

  • ​

    ​

    Bachelor’s Degree

    ​

     in Computer Science, Engineering, Data Science, Statistics, Economics, or a related technical field, or equivalent practical experience leading data and AI-driven products.

  • ​

    ​ 6–8 years ​

     of experience in  product management experience, including ownership of data platforms, analytics, AI, or infrastructure-adjacent products.

  • Experience building and operating complex B2B SaaS platforms, ideally within ERP, financial systems, legal tech, or other regulated environments.
  • Demonstrated ability to lead and scale product teams while staying deeply engaged in strategy and execution.
  • Strong understanding of data ecosystems and AI/ML concepts in application, including how modern approaches move beyond traditional ETL-driven reporting toward workflow- and agent-driven value.
  • Experience influencing pricing, packaging, and product positioning for enterprise software offerings.
  • Ability to engage credibly in architectural and technical tradeoff discussions without requiring hands-on coding.
  • Exceptional communication and stakeholder management skills, with the ability to align executives, partners, and cross-functional teams around a clear direction.
  • Comfortable operating in a PE-backed environment with high expectations for focus, prioritization, and measurable outcomes.
  • Ability to travel up 

    ​ <10% ​

    as business needs require

  • ​

    ​

    Role requires the following physical capacity:

    ​

     

    ​

    Sedentary: primarily desk/computer wo…

Skills

  • workspace
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