Senior Director, Product Management

Salesforce•San Francisco, CA

2d•$218,400 - $401,400•Hybrid

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. We are looking for a visionary Product Leader to spearhead the evolution of Agentforce - Voice AI. In this role, you will define the roadmap for autonomous voice agents that transforms modern customer service and contact centers. You won’t just be building features; you’ll be defining the future of "Agentic Voice" where AI doesn't just talk—it reasons, integrates with deep enterprise data, and resolves complex customer issues end-to-end without human intervention.

Requirements

15+ years in Product Management, with at least 5 years specifically in Conversational AI, CCaaS, or Voice Technology.
Deep understanding of one or more of the following - contact centers, voice integrations and architecture (SIP, RTP, WebRTC), Voice and AI fundamentals (LLMs, RAG, Prompt Engineering, NLU).
A proven track record of shipping "Zero-to-One" enterprise-grade products at scale.
Experience managing high-performing PM teams and influencing complex, cross-functional engineering organizations.
Ability to translate the "hype" of Generative AI into concrete, high-ROI use cases for enterprise customers.
A related technical degree required.

Nice To Haves

Familiarity with the Salesforce Ecosystem (Service Cloud, Einstein, Data Cloud).

Responsibilities

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.
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).
Drive voice infrastructure and compliance needs to drive global adoption Agentforce Voice AI
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.
Solve for the "last mile" of voice: managing latency, interruption handling, emotion detection, and high-fidelity text-to-speech (TTS) that feels human-grade.
Partner with Sales, Marketing, and Customer Success to scale Agentforce Voice globally. Act as the primary technical spokesperson for executive briefings and industry events.