Job description

Zlayt AI is a litigation automation platform built exclusively for personal injury law. From demand letters and deposition summaries to discovery responses and case analysis, Zlayt equips law firms with intelligent tools that draft faster, think strategically, and deliver results without friction, setup, or compromise. We're an early-stage, product-led company building the category-defining product for legal AI in a large, underserved niche. This is a rare opportunity to shape what the product becomes — working directly with the founding team, real PI lawyers, and real case data. The Role Zlayt AI is hiring a Product Manager to own the product from problem to shipped feature. You'll work directly with the founders and engineering to decide what we build, why, and in what order — then make sure it ships and actually works for the lawyers and legal assistants who use it every day. This is a builder's role, not a caretaker's role. There is no product org to step into. You'll be writing the first specs, running the first structured discovery, and setting up how product decisions get made. What You'll Do Own the product roadmap: talk to PI lawyers and staff, find the highest-value workflow problems, and turn them into a prioritized plan Write clear specs and acceptance criteria that engineers can build from without guesswork Work hands-on with AI: define how features should behave, test outputs against real legal work product, and set the quality bar for what "good enough to ship" means Run discovery and feedback loops with early customers, including Zinda Law Group as the first major client Define and track the metrics that show whether a feature is working (adoption, time saved, output quality, retention) Operate with significant ambiguity in an early-stage environment, making decisions with incomplete information and adjusting quickly Who You Are A builder, not an inheritor: You've shipped a 0-to-1 software product or major feature as the accountable PM — you know what it takes to build something from nothing, not just run an existing roadmap Technical enough to be dangerous: You've worked directly with engineers day to day, can read a technical design, and don't need a translator to discuss APIs, data models, or model behavior AI-native: You've shipped or worked hands-on with LLM or AI-powered features, and you use AI tools yourself to do your own work faster Workflow-obsessed: You've built software for a demanding professional user — legal, healthcare, finance, or similar — where the details of the workflow decide whether the product gets used Startup-tested: You've worked in small, fast-moving companies where you had to build process yourself, not step into one that already existed Self-directed: Your track record shows work you personally drove — not just team results you were adjacent to Experienced but still hands-on: Roughly 4–10 years of total professional experience, with at least 3 in product management Stable but not stagnant: A track record of meaningful tenure at each stop, with job changes that make sense (promotions, acquisitions, layoffs, or clear career logic — not a pattern of short stints) Our Philosophy We firmly uphold the value of every individual within our team, ensuring they have the chance to build a rewarding career both financially and personally. Our firm's structure is designed to offer exceptional prospects for growth and advancement. At Zlayt AI, every team member leaves at the end of the day with the satisfaction of knowing they have diligently served our clients and positively impacted the lives of others. Join us and experience a remarkable work environment at our organization! Zlayt AI is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other protected status as required by applicable law. By submitting this application, I understand Zlayt AI may review publicly available information about me in order to assess my suitability for employment.

Requirements

Must-haves

This is a builder's role, not a caretaker's role. There is no product org to step into. You'll be writing the first specs, running the first structured discovery, and setting up how product decisions get made.
Own the product roadmap: talk to PI lawyers and staff, find the highest-value workflow problems, and turn them into a prioritized plan
Write clear specs and acceptance criteria that engineers can build from without guesswork
Work hands-on with AI: define how features should behave, test outputs against real legal work product, and set the quality bar for what "good enough to ship" means
Run discovery and feedback loops with early customers, including Zinda Law Group as the first major client
Define and track the metrics that show whether a feature is working (adoption, time saved, output quality, retention)
Operate with significant ambiguity in an early-stage environment, making decisions with incomplete information and adjusting quickly
A builder, not an inheritor: You've shipped a 0-to-1 software product or major feature as the accountable PM — you know what it takes to build something from nothing, not just run an existing roadmap
Technical enough to be dangerous: You've worked directly with engineers day to day, can read a technical design, and don't need a translator to discuss APIs, data models, or model behavior
AI-native: You've shipped or worked hands-on with LLM or AI-powered features, and you use AI tools yourself to do your own work faster
Workflow-obsessed: You've built software for a demanding professional user — legal, healthcare, finance, or similar — where the details of the workflow decide whether the product gets used
Startup-tested: You've worked in small, fast-moving companies where you had to build process yourself, not step into one that already existed
Self-directed: Your track record shows work you personally drove — not just team results you were adjacent to
Experienced but still hands-on: Roughly 4–10 years of total professional experience, with at least 3 in product management
Stable but not stagnant: A track record of meaningful tenure at each stop, with job changes that make sense (promotions, acquisitions, layoffs, or clear career logic — not a pattern of short stints)
Our Philosophy
By submitting this application, I understand Zlayt AI may review publicly available information about me in order to assess my suitability for employment.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillm

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