Chief Product Officer (CPO) / Co-Founder — Legal Engineer

Sue Easy; Menlo Park (CA); Hybrid; USD 180,000 - 300,000; Full time

Benefits offered by this job

Equity ownership

Competitive compensation

Job summary

Sue Easy is seeking a senior product leader to drive the ecosystem by translating complex legal workflows into AI-driven software solutions. You will design AI-native workflows, steer product strategy across multiple platforms, and work hand-in-hand with engineers to scale legal technology.

The role demands deep litigation knowledge, 8+ years in product/tech leadership, and a blend of legal and technical fluency to prototype, architect, and operationalize AI-powered workflows.

Qualifications

• 8+ years of product or technology leadership experience with a deep understanding of litigation law.
• Hybrid capability combining legal expertise with technical fluency in AI architectures and prototyping.
• Experience translating legal workflows into AI-native software solutions.

Responsibilities

• Lead the product ecosystem by translating complex legal workflows into AI-driven software.
• Design AI-native workflows and manage product strategy across platforms.
• Collaborate with engineers to build scalable legal technology solutions.

Skills

Product leadership

Legal engineering

AI product engineering

Litigation

Civil procedure

LLM reasoning

Prompt engineering

Software architecture

UX design

Strategic planning

Data modeling

Technical prototyping

Legal workflow automation

Product management

Startup leadership

Job description

You will lead the product ecosystem by translating complex legal workflows and litigation standards into AI-driven software solutions. This involves hands-on design of AI-native workflows, managing product strategy across multiple platforms, and collaborating directly with engineers to build scalable legal technology.

Requirements

The role requires 8+ years of product or technology leadership experience with a deep understanding of litigation law and computational legal reasoning. Candidates must possess a hybrid skill set combining legal expertise with technical fluency in AI architectures, prototyping, and structured data.

Key Skills

Legal engineering, Product leadership, AI product engineering, Litigation, Civil procedure, LLM reasoning, Prompt engineering, Software architecture, UX design, Strategic planning, Data modeling, Technical prototyping, Legal workflow automation, Product management, Startup leadership

Benefits

Equity ownership, Competitive executive compensation