About the RoleLitify 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 SummaryWe'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.
