Principal Product Manager - Applied AI Strategy (ONLY W2)

Hybrid in San Francisco, CA, US • Posted 18 hours ago • Updated 3 hours ago
Contract W2
Contract Independent
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Product Management
  • Agentic AI
  • Product Development Manager
  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • LangChain
  • Machine Learning (ML)
  • Applied AI Strategy
  • Applied AI
  • Orchestration
  • Model Context Protocol
  • OpenAI
  • Claude
  • Anthropic
  • Gemini
  • Google Workspace
  • Vertex
  • Salesforce Agentforce

Summary

Top Requirements

(Must Haves)

    • 8+ years in product management, including 5+ years in Agentic AI Systems, Generative AI, AI/ML tooling, or developer platform products.

Agentic AI Fluency (Critical)

    • Hands-on experience designing, deploying, or evaluating multi-step agentic AI systems in production or near-production environments
    • Working knowledge of agent architectures: tool use, ReAct patterns, orchestration, memory, and multi-agent coordination
    • Familiarity with MCP (Model Context Protocol), LangChain, or comparable agent orchestration approaches
    • Clear mental model of where agentic AI adds value versus where it introduces unnecessary complexity or risk

 

Platform Expertise

    • Direct experience with two or more of: ChatGPT Enterprise (OpenAI), Claude (Anthropic), Gemini (Google Workspace / Vertex), Salesforce Agentforce
    • Ability to evaluate platform tradeoffs for specific use cases—not just benchmark comparisons, but production design decisions
    • Awareness of enterprise governance requirements: data residency, access control, audit logging, model versioning

 

Automation Judgment (Critical)

    • Structured approach to deciding when AI is the right tool—and when it is not
    • Understanding of deterministic vs. probabilistic systems and where each belongs in a production workflow
    • Experience evaluating tradeoffs: prompt-based tools, structured workflows, rule-based systems, and engineered solutions

 

Systems Thinking

    • Experience designing end-to-end workflows with attention to inputs, outputs, dependencies, and failure modes
    • Ability to reason about production readiness, monitoring, and long-term maintainability—not just initial deployment

 

Enablement Mindset

    • Proven ability to build team capability and transfer ownership—measured by independence, not dependency
    • Experience developing playbooks, training programs, or frameworks adopted at scale
    • Comfort stepping away once teams are self-sufficient; no interest in owning operations indefinitely

 

Execution in Ambiguity

    • Ability to structure loosely defined problems and move without waiting for complete information
    • Experience working cross-functionally without formal authority in a matrixed organization

 

Accountability and Practicality

    • Track record of shipping solutions that are adopted, sustained, and measurably effective
    • Strong instincts around validation, risk calibration, and iteration
    • Ownership mentality: you don’t consider something done until it works reliably in the hands of the team that owns it
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10196450
  • Position Id: KS_PDM_AI1_CA
  • Posted 18 hours ago
Contact the job poster
KS

Kailash Sharma

Recruiter @ Maven Companies
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