Job Description

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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.

• Experience working with cross-functional global teams in Agile/Scrum environments.
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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