Job Description

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Key Responsibilities:

Define and execute the product vision and roadmap for Agentforces 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 capabilitiesretrieval-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:

810 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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