Senior Product Manager - AI Call Intelligence
New
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LitifyLegal technology
Listing locations: USA; Location base: USAFull-TimeSenior
SalaryThe estimated base salary pay range for this role is $140,000-155,000. You may also be offered a bonus and benefits.
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Job Details
- Experience
- 5+ years of product management experience, including 2+ years building or managing AI-powered products.
- Required Skills
- Product ManagementSalesforce
Requirements
- Have 5+ years of product management experience within B2B SaaS or workflow automation platforms.
- Have 2+ years managing AI, ML, or data-intensive products.
- Demonstrate success leading cross-functional delivery and working directly with clients or external partners.
- Have experience shipping products built on unstructured or probabilistic data, setting quality bars, and designing for model error.
- Have hands-on experience with conversational or agentic AI, such as voice or chat agents, tool-calling and orchestration, dialog design, or evaluating autonomous systems in production.
- Be able to translate business goals into technical execution.
- Demonstrate strong communication, stakeholder management, and organizational skills, including the ability to manage multiple priorities.
- Salesforce or Salesforce-native application experience is a bonus.
- Telephony, VoIP, contact center, speech-to-text, speaker diarization, conversation analytics, or voice-agent framework experience is a bonus.
- Legal or legal tech, fintech, or other complex operational domain experience is a bonus.
- Familiarity with LLMs, document intelligence, or data extraction workflows is a bonus.
Responsibilities
- Own the end-to-end lifecycle of 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 is incorporated into 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 triggered by calls, including guardrails and evaluation standards for agent behavior.
- Build call scoring, topic detection, signals libraries, and manager review tooling for QA and coaching.
- Lead client discovery and beta programs, and represent the voice of the customer with client-facing teams.
- Conduct market and competitive research to inform opportunities and commercialization strategy.
- Translate strategy into a prioritized backlog, partner with engineering, design, data science, and GTM to ship products, and measure adoption and success.
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