Product Manager

Who you are

• 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
• 5+ years of product management experience, including time at a high-growth startup (Series B–E)
• 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
• 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

What the job involves

• 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