Principal Product Manager

Microsoft

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $165,600–$296,400 / yr
Posted: 75 days ago
Freshness: Confirmed live yesterday
Closes: Jan 24, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $231k

$137k $314k

below market most similar roles pay here above market

This role pays more than 75% of similar roles. Most pay $176,450–$231,012 — the blue band above. At the midpoint, this role pays about $231k versus about $204k 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.

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At a glance

TL;DR · Principal Product Manager

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The Principal Product Manager will join the team responsible for post-training models, specifically focusing on turning base model capabilities into usable products for Copilot surfaces. You will work directly with applied researchers and ML engineers to manage RLHF, fine-tuning, and preference-tuning pipelines. Your daily responsibilities include reviewing model outputs, defining quality and safety tradeoffs, and running preference data campaigns. You will translate qualitative user feedback into concrete training priorities and maintain behavior evaluation sets. The role requires technical grounding in instruction tuning, data curation, and DPO/preference optimization. You must navigate complex trade-offs between helpfulness, caution, and latency while ensuring compliance behaviors and brand voice are reflected in the model's training. This role bridges the gap between user research and technical model performance.

What does a Product Manager earn?

Median $199625 from 738 postings across 94 companies.

See salary data

Skills

RLHF Fine-tuning DPO Preference Optimization Instruction Tuning Data Curation Responsible AI Software Development

What you'll do

Work daily with ML teams during fine-tuning and RLHF cycles to review model outputs and provide structured feedback.
Define priorities for model capability, personality, and safety tradeoffs across various Copilot surfaces.
Scope and run RLHF and preference data campaigns in partnership with data and labeling teams.
Translate qualitative judgments into trackable behavior evaluation sets for release-over-release monitoring.
Convert user research and production incident learnings into concrete post-training priorities.
Drive alignment across leadership on specific tuning tradeoffs between helpfulness, caution, consistency, and cost.
Integrate Responsible AI requirements and compliance behaviors into the model's training priorities.

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).
Technical grounding in post-training processes including RLHF, DPO/preference optimization, instruction tuning, and data curation.
Experience translating qualitative judgment into evaluation sets and tracking them over multiple releases.
Ability to represent Responsible AI, compliance behaviors, and brand voice into training priorities.

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