Senior Technical Program Manager, AI Content Capabilities

Microsoft

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$119,800–$234,700 / yr
Posted
1 day ago
Freshness
Confirmed live today
Closes
May 1, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $177k
$105k $262k
below market most similar roles pay here above market

This role pays less than 71% of similar roles. Most pay $176,687–$222,500 — the blue band above. At the midpoint, this role pays about $177k versus about $200k 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 636 open roles on FindRole.

Listed pay typically runs $119,800–$234,700 across 591 roles with salary data.

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At a glance

TL;DR · Senior Technical Program Manager, AI Content Capabilities

The Senior Technical Program Manager, AI Content Capabilities joins the Marketing Technology organization to lead the development of AI-powered products and reusable content capabilities. This role involves bridging marketing content expertise with technical implementation to build skills for grounding, orchestration, integrations, and human review. You will prototype AI-powered experiences using generative AI platforms, agents, APIs, and low-code tools while defining evaluation frameworks to translate brand quality standards into repeatable criteria. Key responsibilities include translating marketer needs into technical requirements, shaping architecture with Engineering and Design teams, and codifying best practices for content creation. Required skills include experience with LLMs, agents, MCPs, and platforms like Azure AI Foundry or Copilot Studio. The work focuses on solving technical problems in marketing workflows to enable consistent, on-brand content production.

What does a Technical Program Manager earn?

Median $190350 from 281 postings across 47 companies.

See salary data

What you'll do

  • Define and scale reusable technical patterns for AI-powered content capabilities like agent design, grounding, and orchestration.
  • Prototype AI-powered skills and experiences using generative AI platforms, APIs, and low-code tools to validate production paths.
  • Establish evaluation frameworks that translate brand quality standards into repeatable criteria and measurement approaches for AI content.
  • Translate marketer needs into detailed product and technical requirements, including workflows, data context, and success criteria.
  • Shape technical architecture and implementation decisions with Engineering and Design teams to identify shared, reusable components.
  • Codify AI content development best practices into repeatable frameworks to accelerate development across the portfolio.
  • Measure capability performance using evaluation results and customer feedback to influence roadmap priorities.

What we're looking for

  • Bachelor's Degree and 4+ years of experience in engineering, product/technical program management, data analysis, or product development or equivalent experience.
  • 2+ years of experience managing cross-functional and/or cross-team projects.
  • 3+ years of experience managing cross-functional and/or cross-team projects (preferred).
  • Proven ability to take ambiguous business problems through discovery, product vision, requirements, experimentation, MVP, and scale (preferred).
  • Hands-on experience designing, prototyping, or shipping generative AI products, agents, applications, or workflows (preferred).
  • Demonstrated experience shaping technical solutions with Engineering and Design, with fluency in APIs, integrations, and LLM concepts (preferred).
  • Experience applying AI to marketing, content creation, or other complex knowledge-worker workflows (preferred).
  • Experience with LLMs, agents, grounding, and platforms like Azure AI Foundry or Copilot Studio (preferred).

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