Interested in this AI Product Manager role at Litify?
Apply Now →Skills & Technologies
About This Role
About Us
At Litify, we're revolutionizing the Legal industry by being the platform powering legal's top performers. As a trailblazer in legal technology, Litify delivers an all-in-one legal operating solution that empowers law firms and legal departments to achieve consistent success by continually standardizing, measuring, and improving their legal operations.
Our mission is clear: to deliver better business outcomes to our clients, so they can focus on delivering the best legal service and outcomes to their clients. 400+ enterprise businesses and 55K+ legal professionals trust Litify to amplify their impact with innovative technology and service that stands the test of time.
Backed by Bessemer Venture Partners, Litify is proud to be recognized as one of Inc. 5000 and Deloitte Technology Fast 500's fastest-growing private companies in America along with numerous awards for our unparalleled software. With offices in the vibrant cities of New York and New Orleans, we're at the heart of legal innovation.
About the Role
Litify is building an AI Call Intelligence suite that turns everyday client and case conversations into structured, usable work product — and, increasingly, AI voice agents that can hold those conversations themselves. This Senior Product Manager will own that product line end to end: how calls are captured, transcribed, and summarized; how insight lands in the workflows our clients already run; and how inbound and outbound voice agents and the agentic workflows behind them take real work off our clients' plates. The role carries full ownership of client engagement, market discovery, backlog health, and release execution.
Profile Summary
We're looking for a Senior PM with 5+ years of product management experience, including 2+ years building or managing AI-powered products. The ideal candidate combines strategic thinking with strong operational discipline, thrives in cross-functional settings, and can confidently engage with clients, partners, and internal teams to drive AI initiatives from concept through launch. Experience with voice, conversational, or agentic AI is a strong plus, as is a background in legal or legal tech.
Core Responsibilities:
- Own the end-to-end lifecycle for Litify's AI Call Intelligence products.
- Set the roadmap for call capture, transcription, and AI-generated summaries, balancing accuracy, speed, and cost.
- Define how conversational insight lands in the platform — case records, intake qualification, follow-up tasks, and other CRM activity.
- Ship AI voice agents for inbound and outbound use cases.
- Own the agentic workflows those calls trigger, along with the guardrails and evaluation standards for agent behavior.
- Build the QA and coaching experience: call scoring, topic detection, signals libraries, and manager review tooling.
- Lead client discovery and beta programs, and champion the voice of the customer with client-facing teams.
- Run market and competitive research to inform new opportunities and commercialization strategy.
- Translate strategy into a prioritized backlog and partner with engineering, design, data science, and GTM to ship it.
- Drive adoption and measure success through data-driven insights.
Required Experience & Skills:
- 5+ years in product management within B2B SaaS or workflow automation platforms.
- 2+ years managing AI, ML, or data-intensive products.
- Proven success leading cross-functional delivery and working directly with clients or external partners.
- Experience shipping products built on unstructured or probabilistic data, including setting quality bars and designing for model error.
- Hands-on experience with conversational or agentic AI — voice or chat agents, tool-calling and orchestration, dialog design, or evaluating autonomous systems in production.
- Experience translating business goals into technical execution.
- Excellent communication and stakeholder management skills.
- Strong organizational discipline and ability to handle multiple priorities in parallel.
Bonus Points:
- Experience with Salesforce or Salesforce-native applications.
- Experience with telephony, VoIP, or contact center platforms.
- Familiarity with speech-to-text, speaker diarization, or conversation analytics tooling.
- Experience with voice agent or conversational AI frameworks and real-time speech pipelines.
- Background in legal or legal tech, fintech, or other complex operational domains.
- Familiarity with LLMs, document intelligence, or data extraction workflows.
Reporting Line: Reports to Director, AI Product & Commercialization
Location: Remote or hybrid
Seniority Level: Senior IC with cross-functional leadership influence
Disclosure:
The estimated base salary pay range for this role is $140,000-155,000. You may also be offered a bonus and benefits.
Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.
Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.
Salary Context
This $140K-$155K range is in the lower quartile for AI Product Manager roles in our dataset (median: $193K across 93 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 8,943 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Litify, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $220,200 based on 862 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $228,700. This role's midpoint ($147K) sits 33% below the category median. Disclosed range: $140K to $155K.
Across all AI roles, the market median is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. For comparison, the highest-paying categories include AI Safety ($253,100) and Research Engineer ($252,000). By seniority level: Entry: $110,408; Mid: $193,200; Senior: $228,700; Director: $272,250; VP: $235,000.
Litify AI Hiring
Litify has 1 open AI role right now. They're hiring across AI Product Manager. Based in New York, NY, US. Compensation range: $155K - $155K.
Location Context
AI roles in New York pay a median of $221,000 across 2,878 tracked positions. That's 4% above the national median.
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 8,943 open positions tracked in our dataset. By seniority: 175 entry-level, 4,132 mid-level, 3,268 senior, and 1,368 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (521 positions). The remaining 8,351 roles require on-site or hybrid attendance.
The market median for AI roles is $213,380. Top-quartile compensation starts at $264,148. The 90th percentile reaches $319,310. Highest-paying categories: AI Safety ($253,100 median, 57 roles); Research Engineer ($252,000 median, 419 roles); AI Engineering Manager ($251,622 median, 51 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 8,943 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,739), AI Product Manager (403), AI Software Engineer (402). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (175) are outnumbered by mid-level (4,132) and senior (3,268) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,368 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (521 positions), with 8,351 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,380. Top-quartile roles start at $264,148, and the 90th percentile reaches $319,310. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $253,100 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,422 postings), Aws (808 postings), Azure (638 postings), Rag (555 postings), Gcp (457 postings), Pytorch (433 postings), Claude (341 postings), Kubernetes (337 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.