Senior Product Manager, AI Call Intelligence

Litify

. Own the end-to-end lifecycle for Litify's AI Call Intelligence products .

Posted 9/18/2026full-timeRemote • United StatesSenior💰 $140,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing AI and ML products, with a focus on conversational AI and data-intensive solutions. Proven ability to translate business objectives into technical execution while leading cross-functional teams and driving product adoption through data-driven insights.

Highest-signal resume keywords

Product ManagementAI Product DevelopmentConversational AIStakeholder ManagementData-Driven Insights

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementAIMachine LearningData-Intensive ProductsConversational AIDialog DesignQuality AssuranceMarket ResearchProduct RoadmappingData Analysis

Soft Skills

Excellent CommunicationOrganizational DisciplineStakeholder Management

Tools & Technologies

SalesforceVoIPContact Center PlatformsSpeech-to-TextConversation Analytics

Industry Keywords

B2B SaaSWorkflow AutomationLegal TechFintechOperational Domains

Tech Stack

Tools & technologies

VoIP

About the role

Key responsibilities & impact

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 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, including guardrails and evaluation standards for agent behavior
Build the QA and coaching experience, including 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
Report to the Director, AI Product & Commercialization

Requirements

What you’ll need

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, including 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
Experience with Salesforce or Salesforce-native applications is a bonus
Experience with telephony, VoIP, or contact center platforms is a bonus
Familiarity with speech-to-text, speaker diarization, or conversation analytics tooling is a bonus
Experience with voice agent or conversational AI frameworks and real-time speech pipelines is a bonus
Background in legal or legal tech, fintech, or other complex operational domains is a bonus
Familiarity with LLMs, document intelligence, or data extraction workflows is a bonus

Benefits

Comp & perks

Bonus may be offered
Benefits may be offered
Competitive compensation and reward opportunities