Job description

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com . 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. 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. This is a hybrid role with the expectation of working at least 3 days a week from our San Francisco or Toronto offices. Title and compensation to be determined based on candidate experience. What you'll do: • 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. What we look for: • 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). Bonus points for: • 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. Benefits & Perks: As part of our total rewards package, we offer attractive benefits and perks to our employees, including: • Choice of medical, dental, and vision insurance plans for you and your family. • Additional insurance coverage options for life, accident, or critical illness. • Flexible paid time off, sick leave, short-term and long-term disability. • 10 US observed holidays, and Canadian statutory holidays by province. • A home office stipend. • 401(k) for US-based employees and RRSP for Canada-based employees. • Paid parental leave. • A local in-person meet-up program. • Hubs in San Francisco and Toronto. (Please note the above benefits & perks are for full-time employees) Notice to Candidates: To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page . Please note that EvenUp may use AI notetakers and other recording devices in the recruiting process. If you interview with us, with your consent, we may record your conversations and summarize them into notes for internal use. Recording is optional, and declining will not affect your candidacy. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Requirements

Must-haves

This is a hybrid role with the expectation of working at least 3 days a week from our San Francisco or Toronto offices. Title and compensation to be determined based on candidate experience.
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.
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.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aimlllm

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave