Technical Product Manager AI products — Greater Chicago Area

Job Description

Position: Technical Product Manager, AI Products

Reports To: SVP, HEAD OF PRODUCT

Location: TBD

Job Overview

The Technical Product Manager, AI Products will drive the development and delivery of AI-powered capabilities across the firm’s suite of products. Working at the intersection of product, engineering, and applied AI, this role will own technical product management for functions such as AI document review, AI privilege review, agentic offerings, and emerging AI initiatives in development. The ideal candidate is hands-on with modern AI technologies (LLMs, retrieval, agents, and evaluation) and can translate the needs of legal and eDiscovery customers into reliable, measurable, and trustworthy AI product experiences. This role follows a hybrid model (4 days in office, 1 day work from home) for candidates residing in Illinois. Candidates based outside of Illinois may be considered for a remote work arrangement.

Responsibilities & Duties

AI Product Strategy & Roadmap

• Own technical roadmaps for AI capabilities across multiple firm’s products, including document review, privilege review, agentic offerings, and multiple new AI functions in development.

• Partner with the SVP, Head of Product and product leadership to align AI initiatives with company objectives and suite-wide product direction.

• Identify opportunities to reuse shared AI components (models, prompts, retrieval pipelines, agent tools) across products to speed delivery and ensure a consistent experience.

• Track developments in the AI landscape and Legal Tech space, such as foundation models, agent frameworks, and protocols, and assess their fit for the firm’s offerings.

Technical Requirements & Delivery

• Write detailed technical requirements, user stories, and acceptance criteria for AI features, including expected model behavior, inputs and outputs, and edge cases.

• Work with Engineering and Data Science on solution design, including model routing, prompt and retrieval strategy, agent orchestration, and API and integration design.

• Prioritize and manage the product backlog in an AI DLC environment, balancing technical feasibility, cost, latency, and customer impact.

• Coordinate dependencies across product teams to deliver AI functionality that spans multiple products.

AI Quality, Evaluation & Trust

• Define success metrics for AI features (e.g. precision, recall, accuracy, consistency, latency, and cost) and set release thresholds before launch.

• Build and maintain evaluation datasets and test plans with engineering, legal subject matter experts, and customers, and run hands-on evaluations of prompts and model outputs.

• Ensure AI outputs are explainable, auditable, and defensible to the standard expected by legal professionals.

• Partner with security and compliance teams so AI features meet data privacy, confidentiality, and responsible AI requirements.

Customer & Market Insights

• Engage with internal and external SMEs representing law firms, corporate legal teams, and legal service providers to understand their workflows and validate AI capabilities.

• Prototype and demo AI concepts quickly to gather early feedback and reduce delivery risk.

• Conduct competitive analysis of AI offerings in legal tech to identify opportunities and gaps.

Cross-Functional Collaboration

• Serve as the technical bridge between engineering, data science, design, and GTM teams.

• Enable sales, marketing, and customer success with clear guidance on AI capabilities, limitations, and best practices.

• Define and track adoption, usage, and quality KPIs after launch and drive continuous improvement.

Education & Experience

• 3+ years of product management experience, including at least 1 year building AI/ML or LLM-powered products.

• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field, or equivalent practical experience.

• Having launched an AI-first product or AI-first feature is a strong plus.

• Experience working within an AI-Driven Development Lifecycle, using AI tools and agents across planning, requirements, design, build, and testing, is a plus.

• Hands-on experience with LLMs and understanding of prompt engineering, retrieval-augmented generation (RAG), and evaluating model outputs.

• Familiarity with agentic AI concepts such as tool use, multi-step orchestration, and integration protocols like MCP.

• Working knowledge of AI quality metrics and experience with evaluation frameworks.

• Hands-on experience in AI-powered product development methods and tools (Jira, Azure DevOps) and roadmap tools such as Productboard or Aha.

• Experience in legal tech, eDiscovery, document review, privilege review, TAR/CAL, or compliance is a plus.

• Excellent communication skills, with the ability to explain complex AI concepts to non-technical stakeholders and customers.

• Strong analytical mindset and a demonstrated focus on usability, trust, and user experience.

Benefits and Perks including but not limited to:

• 401k match program

• Comprehensive health benefits (Medical, Dental, Vision, and HSA/FSA)

• Group Term Life Insurance and Voluntary Life Insurance option

• Paid holidays

• Paid vacation, sick, and personal days

• FSA dependent care benefit

• Childbirth recovery and bonding leave policies

• Short and long-term disability benefits

• Access to onsite gym and recreational area at our Chicago office

• Friendly, collaborative, in-office work environment with ample opportunity for professional development.

For Illinois-based roles, the budgeted annual salary range is $212,500 to $220,000. Plus, participation in one of our bonus plans. Compensation for this role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience and may fall outside of the range shown. The firm’s offers a competitive total rewards package, which includes the Benefits and Perks set forth above.