Product Manager, Enterprise AI & Portfolio Management Platforms
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Job overview
Own Company is hiring a Product Manager, Enterprise AI & Portfolio Management Platforms. The company seeks a Product Manager to lead strategy, roadmap, and execution for its enterprise AI platforms and internal portfolio management capabilities. The role will define product vision, partner with engineering, design, data science, IT, security, and business stakeholders, and drive responsible AI practices while delivering measurable business outcomes.
Key focus areas include Define and communicate a long-term product vision and translate it into measurable roadmaps., Lead AI-powered products using generative models, RAG, agents, automation, and intelligent search to solve business problems., and Own internal platforms for portfolio planning, investment prioritization, resource management, roadmap planning, and executive reporting..
Important skills include Product Management, Agile Methodology, Enterprise Application Software, Problem Solving, IT Portfolio Management, and Strategic Planning. Preferred (not required): LLM, AI Agents, Prompt Engineering, and Vector Search.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Applications will be accepted until 09/28/2026.
Description About the Role
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.
What You'll Be Doing
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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
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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
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Own internal platforms for portfolio planning, investment prioritization, resource management, roadmap planning, and executive reporting
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Build capabilities that give leadership visibility into investments, dependencies, risks, and outcomes across the portfolio
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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
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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
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Use research, analytics, and experimentation to continuously improve product decisions
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Serve as the primary point of contact for engineering teams during sprints, clarifying requirements, grooming the backlog, and accepting completed work against acceptance criteria
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Present product strategy and roadmap progress to executive leadership, building alignment across stakeholder groups with competing priorities
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Define KPIs and product health metrics, and use data to drive prioritization and investment decisions
What We're Looking For
Required Qualifications
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7+ years of product management experience delivering enterprise software and SaaS products
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Experience building enterprise AI or generative AI products
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Experience owning products from strategy through launch and ongoing optimization
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Strong understanding of Agile product development methodologies
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Experience working with engineering, UX, and cross-functional business teams
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Demonstrated ability to influence executive stakeholders without direct authority
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Excellent communication, presentation, and prioritization skills
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Strong analytical and problem-solving capabilities
Preferred Qualifications
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Familiarity with LLMs, AI agents, prompt engineering, RAG, vector search, and enterprise AI architecture
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Experience with portfolio management, strategic planning, project management, or work management platforms
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Experience working with cloud platforms such as AWS, Azure, or Google Cloud
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Understanding of enterprise security, identity, governance, and compliance considerations
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MBA or advanced technical degree
Why Join?
You'll shape how thousands of employees across the company plan, decide, and work — with real ownership over both cutting-edge AI capabilities and the platforms that drive strategic execution. You'll have a direct line to executive leadership and the chance to set the direction for how AI shows up in enterprise productivity, not just experiment with it on the margins.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
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