AI Product Manager

🕒 March 11

🏢🏡 San Francisco – Hybrid

💵 $177.7k - $236k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

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Logo of EvenUp

EvenUp

WebsiteLinkedIn

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

Legal • Artificial Intelligence • SaaS

EvenUp is a company that specializes in providing AI-driven solutions for personal injury law firms to enhance the efficiency and effectiveness of case handling and settlements. The company's Claims Intelligence Platform™ supports law firms by generating AI demand letters designed to capture every detail and maximize case value. Their suite of products, including MedChrons, Executive Analytics, Case Preparation, Negotiation Preparation, and Settlement Repository, leverages AI and data analytics to streamline legal processes, improve negotiation outcomes, and increase the likelihood of hitting policy limits. EvenUp is SOC2 and HIPAA certified, ensuring high standards of security and privacy for sensitive legal and medical data. The company aims to level the legal playing field by providing personal injury firms with tools that utilize proprietary data and expert insights to navigate complex cases with precision and speed.

📋 Description

• Own the strategic roadmap and tactical execution for core models, focusing on domain-specific entity extraction and linking models in the legal and medical spaces. • Dive deep into prompt engineering; build robust evaluation frameworks and gold-standard datasets to measure model performance and reasoning accuracy. • Partner with ML engineers, data scientists, software engineers, and legal/medical subject matter experts, to manage the end-to-end model lifecycle from data curation to post-production monitoring. • Balance technical trade-offs between model size and reasoning quality to ensure our features are both intelligent and commercially viable. • Research and experiment with emerging modeling techniques to maintain our competitive edge.

🎯 Requirements

• 5+ years of professional experience with a heavy emphasis on high-trajectory growth in AI modeling or data science products. • Deep understanding of LLMs, evals, RAG, agentic orchestration, classical machine learning and statistics • Proven track record of treating data quality as a first-class product and building pipelines designed specifically for model training. • Demonstrated ability to translate complex model metrics into clear business impact for non-technical stakeholders.

🏖️ Benefits

• 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

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