Senior Director, Product Management

Salesforce Salesforce · Enterprise · San Francisco, CA

Product Leader to define the roadmap for autonomous voice agents that transform customer service and contact centers. The role involves defining the future of 'Agentic Voice' where AI reasons, integrates with enterprise data, and resolves complex customer issues end-to-end. Key responsibilities include product vision, strategy, agentic frameworks, voice infrastructure, enterprise integration, voice excellence, and go-to-market strategy.

What you'd actually do

  1. Product Vision & Strategy: Own the end-to-end product lifecycle for Voice AI capabilities for customer service and contact centers, including low-latency streaming, real-time reasoning, and multi-turn conversational logic.
  2. Agentic Frameworks: Build the "brains" of the voice agent. Work closely with AI Research and Engineering to leverage LLMs/LMMs for real-time intent recognition, sentiment analysis, and autonomous action execution (Service Actions).
  3. Voice Infrastructure and integrations: Drive voice infrastructure and compliance needs to drive global adoption Agentforce Voice AI
  4. Enterprise Integration: Ensure Voice Agents can securely integrate to Contact Center platforms, CRM, ERP, and Knowledge Base data (e.g., Data Cloud) to provide hyper-personalized, context-aware service.
  5. Voice Excellence: Solve for the "last mile" of voice: managing latency, interruption handling, emotion detection, and high-fidelity text-to-speech (TTS) that feels human-grade.

Skills

Required

  • Product Management
  • Conversational AI
  • CCaaS
  • Voice Technology
  • contact centers
  • voice integrations and architecture (SIP, RTP, WebRTC)
  • Voice and AI fundamentals (LLMs, RAG, Prompt Engineering, NLU)
  • enterprise-grade products
  • managing high-performing PM teams
  • influencing complex, cross-functional engineering organizations
  • Generative AI
  • technical degree

Nice to have

  • Salesforce Ecosystem (Service Cloud, Einstein, Data Cloud)

What the JD emphasized

  • 15+ years in Product Management
  • at least 5 years specifically in Conversational AI, CCaaS, or Voice Technology
  • shipping "Zero-to-One" enterprise-grade products at scale
  • Experience managing high-performing PM teams
  • Ability to translate the "hype" of Generative AI into concrete, high-ROI use cases for enterprise customers

Other signals

  • Define the roadmap for autonomous voice agents
  • AI doesn't just talk—it reasons, integrates with deep enterprise data, and resolves complex customer issues end-to-end without human intervention
  • Leverage LLMs/LMMs for real-time intent recognition, sentiment analysis, and autonomous action execution
  • Ensure Voice Agents can securely integrate to Contact Center platforms, CRM, ERP, and Knowledge Base data
  • Manage latency, interruption handling, emotion detection, and high-fidelity text-to-speech (TTS)