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Key Responsibilities:
● Define and execute the product vision and roadmap for Agentforce’s AI-powered agents.
● Partner closely with engineering and design to build scalable, personalized digital agent experiences.
● Balance technical depth with user empathy to prioritize features that solve real user problems with measurable impact.
AI/Agent Experience:
● Work with AI/ML teams to define intelligent agent capabilities—retrieval-augmented generation (RAG), context awareness, feedback loops, and multi-channel orchestration.
● Shape the intent taxonomy and utterance library to train and optimize agent performance.
● Collaborate with evaluators and data science partners to drive ongoing improvement through qualitative and quantitative analysis.
Cross-Functional Collaboration:
● Align business needs with platform capabilities by working across teams including Engineering, UX, Customer Success, and Enablement.
● Partner with stakeholders to define and measure success criteria, ensuring a high-quality user experience at launch and beyond.
● Drive global go-to-market readiness and support strategies.
Delivery & Lifecycle Ownership:
● Lead discovery workshops, write user stories, define acceptance criteria, and prioritize backlogs.
● Partner with QA and UAT teams to ensure release quality and compliance.
● Monitor performance post-launch and iterate rapidly based on feedback and insights.
Required Qualifications:
● 8–10 years of experience in Product Management, ideally in B2B SaaS, AI, or enterprise platforms.
● Experience working on AI-enabled products, conversational agents, or large-scale support experiences.
● Proven success in shipping customer-facing products with measurable adoption and satisfaction.
● Excellent storytelling, prioritization, and decision-making skills; able to balance technical depth with business impact.
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