Product Manager, Enterprise AI & Portfolio Management Platforms

Salesforce•Seattle, WA

1d•Hybrid

About The Position

We're looking for a Product Manager to lead strategy, roadmap, and execution for our enterprise AI platforms and internal portfolio management capabilities. This role sits at the intersection of AI innovation, enterprise productivity, and operational excellence — you'll help teams across the company work smarter, decide faster, and execute with more clarity. You'll partner closely with engineering, design, data science, IT, security, and business stakeholders to build products people actually rely on.

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