Founding Product Manager

Summary

General Legal is an AI-native law firm that uses in-house software to deliver legal services faster, better, and more affordably. The Founding Product Manager will own improvements to the firm’s legal service workflows, partnering with attorneys, clients, founders, and engineering from discovery through launch. The role involves prioritizing user needs, defining and testing solutions, coordinating releases, and measuring outcomes.

Responsibilities

• Work directly with our attorneys and clients to understand where our legal service breaks down, how our software contributes, and which improvements would make the biggest difference
• Turn interviews, support requests, usage data, and workflow observations into a prioritized backlog. Make clear tradeoffs between bugs, usability improvements, and new capabilities
• Own features from discovery through launch: define the problem, scope the solution, write requirements and acceptance criteria, and work with engineering through delivery
• Bring strong product and design judgment to complex workflows. Use wireframes or lightweight prototypes to test ideas and make the experience easier to understand
• Test what we build, catch edge cases, and coordinate releases. Follow up with users to confirm that the change solved the problem
• Measure whether changes improve our legal service: faster matter turnaround, less manual work for our attorneys, fewer client handoffs, and clearer communication. Use the results to decide what to improve next
• Keep our founders, engineers, product operations manager, and attorneys aligned on priorities and decisions. Bring enough structure to keep a small team moving quickly

Skills

• * At least 3 years of product management experience building software with an engineering team. You can point to products or features you personally took from problem discovery to launch and explain the results
• * Excellent product judgment. You can distinguish a recurring user problem from a one-off request, identify the smallest useful solution, and make hard prioritization calls
• * A high bar for execution and quality. You take ownership, move quickly, notice details, and close the loop without needing someone else to chase the work
• * Strong user research skills and empathy for people doing complicated work. You ask good questions, observe actual behavior, and turn what you learn into concrete decisions
• * Clear writing and communication. Your specs are concise, your decisions are understandable, and you can work effectively with engineers, lawyers, and founders
• * Technical fluency. You can discuss APIs, integrations, data flows, and AI product limitations with engineers. You do not need to be a software engineer
• * Comfort with ambiguity and changing priorities at an early-stage company. You can make progress with incomplete information and update your view when the evidence changes
• * Building internal tools, operations software, or customer experiences for a business that delivers a service. Experience improving complex professional workflows is especially useful
• * Working on AI products and evaluating reliability, user trust, and when a human should stay involved
• * Using analytics, SQL, prototyping tools, or AI coding tools to investigate problems and test solutions
• * Experience at a startup or with legal, financial, or other document-heavy workflows. A legal background is not required

Qualifications

Must Haves

• * At least 3 years of product management experience building software with an engineering team. You can point to products or features you personally took from problem discovery to launch and explain the results
• * Excellent product judgment. You can distinguish a recurring user problem from a one-off request, identify the smallest useful solution, and make hard prioritization calls
• * A high bar for execution and quality. You take ownership, move quickly, notice details, and close the loop without needing someone else to chase the work
• * Strong user research skills and empathy for people doing complicated work. You ask good questions, observe actual behavior, and turn what you learn into concrete decisions
• * Clear writing and communication. Your specs are concise, your decisions are understandable, and you can work effectively with engineers, lawyers, and founders
• * Technical fluency. You can discuss APIs, integrations, data flows, and AI product limitations with engineers. You do not need to be a software engineer
• * Comfort with ambiguity and changing priorities at an early-stage company. You can make progress with incomplete information and update your view when the evidence changes

Nice to Haves

• * Building internal tools, operations software, or customer experiences for a business that delivers a service. Experience improving complex professional workflows is especially useful
• * Working on AI products and evaluating reliability, user trust, and when a human should stay involved
• * Using analytics, SQL, prototyping tools, or AI coding tools to investigate problems and test solutions
• * Experience at a startup or with legal, financial, or other document-heavy workflows. A legal background is not required

Benefits

• Equity
• Remote candidates considered
• Generally keep weekends free