Director, Product Architecture & Evangelism, Agentforce Contact Center
Salesforce
- Location
- California - San Francisco
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 498 approvals (FY2023)
- Posted
- Aug 14, 2026
Skills
About this role
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Product Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. We're looking for a visionary, deeply technical Product Manager to lead evaluation, architecture, and strategy for frontier AI technologies within the Agentforce Contact Center team. This person combines strategic vision with hands-on technical skill — coding functional POCs to bring product vision to life while mobilizing engineering teams, partners, and customers. As product architect for frontier technologies in Agentforce Contact Center, you'll own technical product strategy, hands-on prototyping, and external advocacy for next-gen AI capabilities. You'll define how Salesforce architects agentic automation, dynamic conversation routing, real-time agent assistance, and autonomous resolution across enterprise contact center channels. You'll also be a primary industry thought leader for Agentforce — building a public presence on social media, authoring technical blogs and whitepapers, delivering live coding demos and keynotes, and engaging strategic customers, executive sponsors, and developer communities to showcase the future of AI-driven contact center transformation. You'll partner closely with AI research, engineering, UX, product marketing, sales, customer success, security, and executive leadership to align on a unified vision — influencing roadmap priorities through an iterative, high-velocity approach to architecture, evaluation, and strategy.
Responsibilities
Product Strategy & Architecture: Lead technical product strategy and architectural roadmap for Agentforce Contact Center, setting platform priorities for frontier AI integration. Hands-On POC Development: Personally code functional POCs, prototypes, and reference implementations to validate frontier AI technologies and bring product vision to life. Frontier AI Evaluation & Benchmarking: Continuously evaluate SOTA models, reasoning engines, multi-agent frameworks, and multimodal architectures; establish benchmarks, latency targets, and orchestration patterns for real-time contact center AI. Safety, Trust & Governance: Architect safety guardrails, red-teaming protocols, hallucination mitigation, and compliance standards into frontier AI workflows. Thought Leadership & Evangelism: Serve as a primary evangelist for Agentforce — driving social media presence, technical content, live demos, and keynotes — while engaging strategic customers, executive sponsors, and partners to showcase POCs and co-innovate. Cross-Functional Enablement: Partner with engineering and research to move POC code and architecture into production, and enable sales/marketing through technical evangelism.
Requirements
Product Leadership & Architecture: 10+ years in software product management, technical architecture, or developer relations within high-growth enterprise tech. Hands-On Coding & Frontier AI Expertise: Demonstrated ability to write production-quality prototypes and rapid POCs (Python, JavaScript/Node.js, REST/GraphQL APIs, LLM orchestration frameworks like LangChain, LlamaIndex, AutoGen). Deep technical understanding of LLMs, SLMs, reasoning architectures, multi-agent orchestration, RAG, prompt engineering, fine-tuning, and low-latency