below marketmost similar roles pay hereabove market
This role pays less than
85%
of similar roles. Most pay
$174,950–$223,255
— the blue band above.
At the midpoint, this role pays about
$152k
versus about
$199k
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
648 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 624 roles with salary data.
The Technical Program Manager, AI Tools, joins the Frontier Listening team to create a canonical view of work across full-time and partner teams. This role involves translating product strategy into actionable plans, sequencing technical workstreams, and managing cross-functional alignment between engineering, data science, research, and marketing stakeholders. You will build and maintain integrated roadmaps, manage risks, and establish operating rhythms for complex projects involving knowledge graphs, AI experiences, data pipelines, and source integrations. Key responsibilities include managing distributed teams, facilitating executive communications, and ensuring delivery connects to customer needs. Required skills include experience with Azure DevOps, GitHub, or Jira, and proficiency in Agile or Lean practices. You must understand model workflows, APIs, and agents while navigating data ingestion and quality challenges within a modern data platform.
What does a Technical Program Manager earn?
Median $190350 from 263 postings across 39 companies.
Create and maintain a single, canonical view of work including priorities, milestones, dependencies, risks, and blockers.
Translate product strategy into actionable plans and sequence work across multiple technical workstreams.
Connect cross-functional stakeholders around shared objectives, assumptions, and measures of success.
Develop a technical understanding of knowledge graphs, AI experiences, and data pipelines to identify dependencies.
Establish and improve the operating model, including planning, standup, and leadership communication cadences.
Proactively identify delivery risks and cross-team dependencies while providing clear options and recommendations for resolution.
Manage work across full-time employees and offshore engineering partners as one integrated delivery system.
Provide concise, decision-ready updates to leadership regarding progress, blockers, and required inputs.
What we're looking for
Bachelor's Degree in a related field and 2+ years of experience in engineering, product management, or technical program management.
Master's Degree in a related field and 6+ years of experience in technical program management, product management, or engineering program management.
Experience supporting AI, machine learning, generative AI, data science, analytics, knowledge graph, or modern data platform products.
Experience delivering programs involving data ingestion, data quality, model workflows, APIs, agents, knowledge systems, or user-facing product experiences.
Experience managing work across globally distributed teams, vendors, suppliers, or offshore development partners.
Experience using Azure DevOps, GitHub, Jira, or similar tools to manage roadmaps, backlogs, dependencies, and delivery health.
Experience applying Agile, Lean, or iterative product-development practices while adapting process to the needs of the product and team.
Experience translating strategies or business objectives into actionable program plans, milestones, ownership, dependencies, and measurable outcomes.
AI
ML
Milestone Tracking
Roadmap Planning
Business Systems Analysis
Information Security
Identity Infrastructure
Cross-functional Collaboration
Execution Governance
AI Infrastructure
Data Center Deployment
Liquid Cooling
Power Delivery
Networking
Hardware
Software
Commissioning
Basis Of Design
Colocation
Storage
Network Topology
AI
ML
Automation
LLM
RAG
Predictive Modeling
Workflow Orchestration
Data Pipelines
Knowledge Graph
Ontology
Analytics
Solution Design
Information Security