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EvenUp

Product Manager (AI Entities)

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Description

  • We’re looking for a Product Manager to join our AI Platform group and own the systems that turn messy, unstructured case materials into accurate, structured “source of truth” data
  • This isn’t your typical PM role: it’s highly technical, backend-heavy, and focused on scalable AI extraction and data infrastructure
  • You’ll work closely with senior ML and backend engineers to build the models, evals, pipelines, tooling, and APIs that power all of EvenUp’s products
  • You’ll be responsible for a mission-critical part of our AI strategy: making sure the entities we generate are accurate, consistent, and trustworthy enough for law firms to rely on
  • Own the roadmap for a key part of our AI Platform, potentially including RAG services, text and image extraction and analysis services, model evaluation and deployment tools, and more
  • Partner with ML and backend engineers to build scalable, reliable, and cost-effective systems that support product teams across the company
  • Define success metrics, analyze performance and cost data , and use insights to inform priorities
  • Work closely with other product managers teams to understand end-user needs and develop reusable platform capabilities that accelerate AI development
  • Drive strategic decisions around model performance, vendor selection, and infrastructure scaling in a fast-evolving ecosystem
  • Define success metrics for entity quality and pipeline performance
  • Partner with other product managers and downstream teams to understand where entity quality or coverage gaps are limiting product experiences, and translate that into a prioritized platform roadmap
  • Drive decisions on model performance, annotation strategy, and integration with continuous inference systems as the underlying ML approaches evolve

Benefits

  • Flexible working hours to match your style
  • Offsites - get to meet your coworkers on a fully-expenses trip ever 6-12 months
  • A variety of virtual team events such as game nights & happy hours
  • Choice of medical, dental, and vision insurance plans for you and your family
  • Flexible paid time off and 10+ holidays per year
  • A stipend to upgrade your home office for fully-remote roles
  • 401k for US-based employees
  • If you’ve built ML/LLM-powered data pipelines, love the challenge of turning unstructured input into structured, reliable output, and want broad impact across a fast-growing product org, this role is for you
  • Experience building LLM/LMM-powered products or data infrastructure, with a strong understanding of how modern AI extraction and structured-data systems work end-to-end
  • 5+ years of product management experience, including time at a high-growth startup (Series B–E)
  • Technical fluency: you’ve worked closely with ML engineers, backend engineers, or data teams and can hold your own in technical discussions about model performance, data pipelines, and system design
  • Comfort operating in a backend-heavy environment where your “users” are often internal teams and downstream product surfaces, and your work directly impacts data accuracy, reliability, and trust
  • Analytical mindset: you use data to make decisions and are comfortable managing quality metrics (precision/recall, entity accuracy, coverage) alongside operational ones (latency, throughput)
  • Experience with RAG, agentic systems, and/or LLM/LMM optimization
  • Familiarity with building internal platforms or tools that support other product teams
  • B2B SaaS background, especially in products with significant AI or data components

Skills

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