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Mid LevelFull-timeRustData ScienceGoAIML
Salary Range
$110,500 - $149,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Group Product Manager, AI & Data Strategy to join Elite, the trusted automation platform for law firm operations. This senior product leader role is responsible for defining and executing Elite’s AI and data product vision across a complex Legal ERP platform.
Key Responsibilities
- →Own and evolve the AI and data product vision, aligning customer needs with 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.
- →Partner with Platform, Engineering, and Strategic Partners to ensure infrastructure investments support scalability and security.
- →Lead pricing, packaging, and positioning for AI- and data-driven offerings.
- →Enable Sales and Services teams with clear narratives and value propositions for AI and data capabilities.
- →Accountable for adoption, retention, and revenue impact of AI and data capabilities.
- →Lead, mentor, and scale a high-performing product management team.
Requirements
- ✓Bachelor's Degree in Computer Science, Engineering, Data Science, Statistics, Economics, or related technical field.
- ✓6–8 years of experience in product management, 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 regulated environments.
- ✓Demonstrated ability to lead and scale product teams while staying engaged in strategy and execution.
- ✓Strong understanding of data ecosystems and AI/ML concepts.
- ✓Experience influencing pricing, packaging, and product positioning for enterprise software offerings.
- ✓Exceptional communication and stakeholder management skills.
- ✓Ability to engage in architectural and technical tradeoff discussions.
- ✓Comfortable operating in a PE-backed environment with high expectations for focus and measurable outcomes.
- ✓Must be legally authorized to work in the United States; employment sponsorship is not provided.
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