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Principal Product Manager - Applied AI Strategy (ONLY W2)

Maven CompaniesSan Francisco, CA🇺🇸United StatesPosted 21 Jul 2026

Why This Role Stands Out

This Principal Product Manager role offers a unique opportunity to lead applied AI strategy for a reputable company, leveraging your deep expertise in agentic AI and platform technologies to drive impactful innovation. If you're a seasoned product leader with a passion for cutting-edge AI and a strategic mindset, you'll thrive in this hybrid environment and contribute significantly to the future of AI-powered solutions. Apply today to shape the next generation of intelligent systems!

Quick Overview

Work Type
Hybrid
Level
Leader

Job Description

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

Skills

Google Workspace

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