Product Manager, Enterprise AI & Portfolio Management Platforms

Salesforce•Atlanta, GA

23h•$148,500 - $223,900•Hybrid

About The Position

Salesforce is seeking a Product Manager to lead strategy, roadmap, and execution for its enterprise AI platforms and internal portfolio management capabilities. This role is crucial at the intersection of AI innovation, enterprise productivity, and operational excellence, aiming to enhance how teams across the company work, make decisions, and execute tasks. The Product Manager will collaborate closely with engineering, design, data science, IT, security, and business stakeholders to develop reliable products.

Requirements

7+ years of product management experience delivering enterprise software and SaaS products.
Experience building enterprise AI or generative AI products.
Experience owning products from strategy through launch and ongoing optimization.
Strong understanding of Agile product development methodologies.
Experience working with engineering, UX, and cross-functional business teams.
Demonstrated ability to influence executive stakeholders without direct authority.
Excellent communication, presentation, and prioritization skills.
Strong analytical and problem-solving capabilities.

Nice To Haves

Familiarity with LLMs, AI agents, prompt engineering, RAG, vector search, and enterprise AI architecture.
Experience with portfolio management, strategic planning, project management, or work management platforms.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of enterprise security, identity, governance, and compliance considerations.
MBA or advanced technical degree.

Responsibilities

Define and communicate a long-term product vision for enterprise AI and portfolio management platforms, and translate it into roadmaps tied to measurable business outcomes.
Lead products that use generative AI, LLMs, retrieval-augmented generation (RAG), AI agents, workflow automation, and intelligent search to solve real employee and business problems.
Own internal platforms for portfolio planning, investment prioritization, resource management, roadmap planning, and executive reporting.
Build capabilities that give leadership visibility into investments, dependencies, risks, and outcomes across the portfolio.
Partner with AI/ML teams to prioritize capabilities, define success metrics for adoption and quality, and drive responsible AI practices — governance, compliance, explainability, and trust.
Act as both Product Manager and Product Owner — translate stakeholder needs into prioritized requirements and user stories, and own agile planning, sprint backlog management, and release execution alongside engineering and UX.
Use research, analytics, and experimentation to continuously improve product decisions.
Serve as the primary point of contact for engineering teams during sprints, clarifying requirements, grooming the backlog, and accepting completed work against acceptance criteria.
Present product strategy and roadmap progress to executive leadership, building alignment across stakeholder groups with competing priorities.
Define KPIs and product health metrics, and use data to drive prioritization and investment decisions.