below marketmost similar roles pay hereabove market
This role pays more than
79%
of similar roles. Most pay
$177,250–$227,050
— the blue band above.
At the midpoint, this role pays about
$231k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
As a Principal Product Manager- Agent Tools and Lifecycle, you will join the Agent Tools & Lifecycle team to define the multi-year strategy for creating, deploying, governing, and evolving the next generation of agents and AI-powered workflows. You will own the cross-organizational execution for authoring tools and lifecycle management for agents used by Autopilots and Workflows. Your daily work involves translating ambiguous needs into durable product direction, guiding roadmap investment, and aligning engineering, design, and partner teams. You will build unified experiences for authoring, publishing, evaluation, observability, governance, and operations across Microsoft 365 Copilot, Copilot Studio, Agent Builder, and Power Automate. Key competencies include agentic AI prototyping, workflow automation, low-code/no-code authoring, product lifecycle specifications, and managing enterprise platform operations including security, privacy, and responsible AI.
What does a Product Manager earn?
Median $199125 from 772 postings across 95 companies.
Define the long-term vision, strategy, and roadmap for agent and workflow authoring and lifecycle experiences.
Synthesize customer research, telemetry, and market intelligence to identify unmet needs and prioritize product opportunities.
Create a coherent progression for moving solutions from lightweight creation to governed, enterprise-scale deployment.
Drive shared lifecycle capabilities including specification, validation, publishing, evaluation, observability, and governance across multiple platforms.
Define platform contracts, integration patterns, ownership boundaries, and shared success measures with cross-functional teams.
Lead product and architecture decisions by balancing customer value, technical feasibility, security, and responsible AI.
Define OKRs and AI quality measures to improve adoption, engagement, and business outcomes through evidence-based experimentation.
What we're looking for
Bachelor's Degree and 10+ years of experience in product/service/program management or software development, or equivalent experience.
Bachelor's Degree and 15+ years of experience in product/service/program management or software development, or equivalent experience (preferred).
6+ years of experience taking a product, feature, or experience to market (preferred).
8+ years of experience improving product metrics for a product, feature, or experience in a market (preferred).
8+ years of experience disrupting a market for a product, feature, or experience (preferred).
Experience in agentic AI, AI prototyping, workflow automation, and low-code/no-code or developer authoring (preferred).
Experience in product lifecycle, specifications, evaluation, experimentation, observability, governance, identity, security, and enterprise platform operations (preferred).
Experience in executive storytelling, negotiation, product evangelism, and cross-functional leadership (preferred).
AI
ML
RAG
Conversational AI
Agentic Systems
Knowledge Systems
Responsible AI
Telemetry
Experiment Design
Product Evaluation
Search and Retrieval
Microsoft 365
Copilot
Privacy
Security
Compliance
AI
ML
RAG
Conversational AI
Agentic Systems
Responsible AI
Microsoft 365
Copilot
Telemetry
Experiment Design
Product Evaluation
Knowledge Systems
Search and Retrieval
Privacy
Security
Compliance
Governance
Distributed Systems
Search and Indexing
Retrieval and Ranking
AI/ML
Microsoft 365
Copilot
Semantic Retrieval
Data Platforms
APIs
Observability
Access Control
Artificial Intelligence
Cybersecurity
Cloud Services
Distributed Systems
Knowledge Graphs
Release Governance
Incident Management
Service Health Reviews
Software Development
Platform Technologies
Data Science