Senior Product Manager - AI Call Intelligence
New
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LitifyLegal technology
Listing locations: USA; Location base: USA; Remote or hybridFull-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, including 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.
- Bring 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, or contact center platform experience is a bonus.
- Familiarity with speech-to-text, speaker diarization, conversation analytics, voice agent frameworks, real-time speech pipelines, LLMs, document intelligence, or data extraction workflows is a bonus.
- Experience in legal or legal tech, fintech, or another complex operational domain 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 insights flow 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 calls trigger, including guardrails and evaluation standards for agent behavior.
- Build QA and coaching experiences, including call scoring, topic detection, signals libraries, and manager review tooling.
- Lead client discovery and beta programs, and champion customer feedback with client-facing teams.
- Run market and competitive research to inform opportunities and commercialization strategy.
- Translate strategy into a prioritized backlog and partner with engineering, design, data science, and GTM to ship products.
- Drive adoption and measure success through data-driven insights.
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