This role pays more than
94%
of similar roles. Most pay
$185,798–$244,625
— the shaded band above.
At the midpoint, this role pays about
$286k
versus about
$215k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
174 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 152 roles with salary data.
As a Principal Product Manager, Agent Development Platform, you will join the AI Platform team to lead the evolution of the internal Agent Software Development Lifecycle. You will define the multi-year vision, strategy, and roadmap for critical components including the Agent Starter Kit, Agent Sandbox, and developer productivity tooling. Your daily work involves diagnosing pain points across business unit agent stacks, crafting platform value propositions, and integrating context/memory architectures into cohesive products to accelerate deployment. You will monitor frontier trends in proprietary technology stacks like Claude/Anthropic SDKs and OpenAI ecosystems alongside open-source frameworks to establish enterprise standards. The role focuses on building a paved path for internal developers to create secure, scalable AI agents. Key requirements include expertise in LangGraph, model context architectures, and navigating technical trade-offs within an AI-first infrastructure environment.
What does a Product Manager earn in California?
Median $223300 from 163 postings across 44 companies.
Define and drive the multi-year product vision, strategy, and roadmap for Intuit's internal Agent SDLC.
Develop tools like the Agent Starter Kit and Agent Sandbox to reduce development and deployment time.
Diagnose pain points across business unit agent stacks to create compelling platform value propositions.
Integrate context/memory architectures and agent harness systems into cohesive developer products.
Evaluate frontier industry trends in proprietary and open-source frameworks to establish enterprise standards.
Partner with engineering, security, and architecture leaders to navigate technical trade-offs for AI-first solutions.
Drive the convergence of disparate systems into a single, production-grade paved path for agent deployment.
What we're looking for
8+ years of product management experience delivering complex developer platforms, AI/ML infrastructure, or enterprise software development lifecycle tools.
Deep technical fluency in state-of-the-art agentic frameworks, model context/memory architectures, and AI-native harness capabilities at scale.
Proven track record of navigating ambiguity, diagnosing friction in disparate systems, and pitching platform products to internal stakeholders.
AI Agents
Large Language Models
LangChain
LangGraph
AWS Bedrock
Anthropic Claude
OpenAI
GitHub Copilot
Cursor
Figma AI
v0
Identity and Access Management
Cloud-native
Prototyping
AI Agents
Large Language Models
LangChain
LangGraph
AWS Bedrock
Anthropic Claude
OpenAI
GitHub Copilot
Cursor
Figma AI
v0
Cloud-native
Identity and Access Management
Prototyping
AI Agents
Large Language Models
LangChain
LangGraph
AWS Bedrock
Anthropic Claude
OpenAI
GitHub Copilot
Cursor
Figma AI
v0
Cloud-native
Identity and Access Management
Prototyping