Senior Product Manager AI & Agentforce , Digital Success Engineering at San Franscisco, Bay Area (Hybrid 2 days in office)

Job Title: Senior Product Manager AI & Agentforce , Digital Success Engineering

Location: San Franscisco, Bay Area (Hybrid 2 days in office)

Interview Process Minimum 4 rounds of interview.

Important Skills (Must Have):

• Strong understanding of Salesforce ecosystem ( Must have)
• Work with AI/ML teams
• experience in Product Management, ideally in B2B SaaS
• Experience in Learning Technology or learning management system

About the Role:

We are looking for a Senior Product Manager to lead the strategy, development, and execution of AI-driven agent experiences within the Agentforce platform. This role is ideal for someone who thrives at the intersection of product innovation, customer success, and intelligent automation. You'll play a pivotal role in transforming how users discover and consume support using AI-powered digital agents across channels like Slack, web, and mobile.

As part of the Digital Success Engineering team, you will collaborate cross-functionally with business product, engineering, design, data science, and multiple stakeholders to shape our next-generation agent experience. If you are passionate about building AI solutions that drive customer success, learning efficiency, and smart automation-this is the role for you.

Key Responsibilities:

Product Strategy & Execution

• 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:

• 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.
• Strong understanding of Salesforce ecosystem, Trailhead/Trailhead acadmey, or similar customer education technologies.
• 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.
• Experience working with cross-functional global teams in Agile/Scrum environments.

Preferred Qualifications

• Familiarity with LLM-powered chatbots, RAG architectures, or agent frameworks (e.g., LangChain, Agentforce, Einstein Copilot).
• Salesforce Certified (Administrator, Business Analyst, or AI Associate).
• Experience with data analysis tools (e.g., Tableau, GA4, Mixpanel) to drive product insights and Data cloud.
• Previous experience in learning technology, enablement, or customer success tooling is a plus.