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Operations & Project Management

Product Manager-AI (ONLY W2)

Maven CompaniesSan Francisco, CA🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

This hybrid Product Manager role offers a unique opportunity to shape the future of AI at a reputable company, with significant potential for professional growth and skill development in cutting-edge agentic AI. You'll thrive here if you possess strong systems thinking and automation judgment, enabling you to strategically implement AI solutions. Apply now to leverage your expertise and make a tangible impact in a dynamic environment.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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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