Senior Product Manager, AI Call Intelligence

Role overview

Lead the product direction and delivery of an AI-powered call intelligence portfolio for complex professional workflows. The role spans call capture, transcription, summarization, conversational insight, voice agents, and the agentic workflows that turn conversations into structured records and follow-up actions. This is a senior individual-contributor position with broad influence across product, engineering, design, data science, commercialization, and customer-facing teams.

Responsibilities

- Own the product lifecycle, roadmap, prioritization, backlog, and release execution for AI call intelligence capabilities. - Define how calls are captured, transcribed, summarized, evaluated, and connected to records, intake processes, tasks, and other workflow activity. - Develop inbound and outbound voice-agent use cases, including orchestration, guardrails, evaluation standards, and recovery from model errors. - Build quality-assurance and coaching capabilities such as call scoring, topic detection, signal libraries, and manager review tools. - Lead customer discovery, beta programs, competitive research, and adoption measurement using data-driven insights. - Coordinate cross-functional delivery and translate business objectives into practical technical execution.

Requirements

- At least 5 years of product management experience in B2B SaaS, workflow automation, or a related environment. - At least 2 years managing AI, machine-learning, or data-intensive products. - Experience shipping products based on unstructured or probabilistic data and establishing quality standards around model uncertainty. - Hands-on experience with conversational or agentic AI, including voice or chat agents, tool calling, orchestration, dialogue design, or production evaluation. - Demonstrated success working directly with customers or partners and leading cross-functional teams. - Strong communication, stakeholder-management, organization, and prioritization skills.

Nice to have

- Experience with CRM platforms, telephony, VoIP, contact-center systems, speech-to-text, speaker diarization, or conversation analytics. - Familiarity with real-time speech pipelines, voice-agent frameworks, LLMs, document intelligence, or data extraction. - Background in legal technology, fintech, or another complex operational domain.

Benefits and work setup

Remote or hybrid work is available.