Sr. Product Manager, Customer Health Platform

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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.

Product Vision & Mission

Customer Health Platform is Salesforce's answer to one of the most persistent enterprise challenges: customers managing multiple orgs lack a unified, continuous view of their security posture, technical health, and customization complexity. This creates barriers to adoption, slows Agentforce readiness, and at times leads to attrition.

Mission

Give every Salesforce customer a single, authoritative view of their implementation health posture across all orgs — enabling them to:

• Shift from reactive to proactive health management

• Conduct on-demand health assessments with a prioritized list of recommendations

• Receive intelligent, agentic guidance to close gaps fast

• Accelerate their path to Agentforce readiness

Key Responsibilities

• Own product strategy, roadmap, and end-to-end delivery for across multiple scrum teams and an AI research team

• Define and evangelize the product vision — translating it into user stories, PRDs, and sprint-ready requirements — working daily with engineering, design, and AI research partners

• Develop and maintain a comprehensive roadmap, balancing customer requirements, market opportunities, and technical feasibility.

• Identify and address key customer pain points ensuring the product delivers measurable value.

• Translate high-level business requirements into detailed product specifications and actionable deliverables. Collaborate with engineering and UX teams to build scalable, intuitive, and high-impact solutions.

• Lead cross-functional teams through the product development lifecycle, from concept to deployment, ensuring timely delivery of milestones.

• Engage directly with customers, partners, and stakeholders to deeply understand pain points and translate them into actionable product requirements.

• Drive prioritization and trade-offs across user experience, performance, and technical feasibility.

• Leverage data-driven insights to iterate and improve product offerings continuously.

• Partner with sales, marketing, and enablement teams to ensure successful product launches and adoption. Work closely with them to define go-to-market strategies, positioning, and messaging for the product capabilities.

• Stay ahead of industry trends in AI, collaboration, automation, and enterprise service management to drive innovation.

• Serve as the voice of the customer, gathering and analyzing feedback from users, developers, and stakeholders to inform product decisions.

• Regularly present product updates, strategies, and results to executive team ensuring alignment with organizational goals.

What Makes This Role Exciting

• You'll be the founding PM for this product — a net-new product category that redefines how enterprises manage Salesforce health at scale

• You'll own flagship Agentforce AI product launches at TDX and Dreamforce

• You'll have real GTM impact — building partner ecosystems, public sector presence, and conference thought leadership

Required Qualifications

• 5–10 years of experience, with 5+ years in product management at a software or SaaS company

• Bachelor's in CS or technical field; MBA or Master's a plus

• Deep technical fluency across search systems, information retrieval, large language models, and AI/ML infrastructure — able to engage deeply with engineering teams and communicate clearly to executive audiences

• Experience managing AI model or vendor strategy — you've evaluated, selected, and deployed LLMs or AI services in production and understand the tradeoffs between quality, cost, latency, and vendor risk

• A quality-first mindset — you've built evaluation frameworks, benchmarks, or tes