Description
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.
Key Responsibilities
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.
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).
Voice Infrastructure and integrations: Drive voice infrastructure and compliance needs to drive global adoption Agentforce Voice AI
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.
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.
GTM & Ecosystem: Partner with Sales, Marketing, and Customer Success to scale Agentforce Voice globally. Act as the primary technical spokesperson for executive briefings and industry events.
Required Qualifications
Experience: 15+ years in Product Management, with at least 5 years specifically in Conversational AI, CCaaS, or Voice Technology.
Domain Expertise: 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).
Execution: A proven track record of shipping "Zero-to-One" enterprise-grade products at scale.
Leadership: Experience managing high-performing PM teams and influencing complex, cross-functional engineering organizations.
Strategic Mindset: Ability to translate the "hype" of Generative AI into concrete, high-ROI use cases for enterprise customers.
A related technical degree required.
Preferred Qualifications
Familiarity with the Salesforce Ecosystem (Service Cloud, Einstein, Data Cloud).
In office expectations are 36 days/a quarter to support customers and/or collaborate with their teams.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.