Principal Product Manager, AI Investigations & Integrity - CoreAI

$142K - $304K New York, NY, US Senior AI Product Manager

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Skills & Technologies

AzurePython

About This Role

AI job market dashboard showing open roles by category

Overview

Are you an investigator who uses data to understand how AI systems are misused—and turn investigative findings into platform safeguards? If so, you may be a strong fit for this nontraditional Product Manager role, focused on hands-on investigation and applied data science.

You will investigate misuse across models, applications, and agentic workflows, including Azure AI Foundry, and partner across engineering, research, security, and integrity to turn findings into safeguards that reduce risk without blocking legitimate use.

Responsibilities* Investigate AI misuse and adversarial behavior across enterprise AI services, including prompt injection, jailbreaks, adversarial distillation, and coordinated abuse, from initial signal through a defensible assessment of behavior, impact, risk, and attribution.

  • Use Python and SQL, Kusto, or comparable tools to analyze complex model, application, and agent telemetry, reconstruct activity, connect signals across datasets, and uncover patterns missed by isolated events or aggregate metrics.
  • Document evidence, methods, findings, limitations, and confidence so others can reproduce the analysis and make informed mitigation decisions.
  • Evaluate and improve detection quality across coverage, false positives, missed abuse, and customer impact. Investigate failures with engineering and research partners and apply lessons from post-deployment monitoring.
  • Turn investigation findings into detection requirements, mitigation priorities, and operational improvements. Balance risk reduction, feasibility, and impact on legitimate users while partnering to ship protections and measure their effectiveness. Qualifications Required Qualifications
  • Bachelor’s Degree AND 8+ years of experience in product/program management, AI investigations, applied data science, trust and safety, security research, intelligence analysis focused on technical threats, national security technical investigations, or related technical disciplines OR equivalent experience.

Other Requirements* Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: *

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years Preferred Qualifications
  • Hands-on experience using applied data science or related technical skills to investigate AI misuse, adversarial behavior, AI safety or security incidents, or closely related technology abuse.
  • Relevant intelligence analysis or national security technical investigations may qualify when they involve complex data, adversarial behavior, and emerging technical threats.
  • Experience assessing incomplete or conflicting evidence, testing competing hypotheses, coordinating investigations, communicating findings and confidence, and distinguishing misuse from legitimate use.
  • Applied data science experience using Python and SQL, Kusto, or comparable tools to analyze complex telemetry and datasets.
  • Experience translating investigations and analysis into shipped protections or operational improvements with cross-functional partners.
  • Ability to turn evidence into actionable requirements and priorities and assess whether resulting changes improve outcomes.
  • Strong command of AI and AI-assisted development tools, including command-line interfaces (CLIs).
  • You live and breathe AI and AI safety, and have a strong guiding principle of making it easier for our customers to make AI useful and harder for the bad guys to abuse AI.
  • Experience investigating frontier AI or agentic systems, including attacks across model, application, tool, or data boundaries, and understanding how deployment context affects behavior and safeguard effectiveness.
  • Experience investigating misuse involving enterprise AI applications, data, and hyperscale inference platforms.
  • Experience building reproducible investigative workflows, evaluation datasets, or analytical tools that improve investigation quality and efficiency, while guiding peers through difficult technical questions and contributing hands-on analysis.
  • Experience with AI security testing, red teaming, post-deployment safety monitoring, or incident response, including measuring detection performance and validating mitigations against evolving adversarial behavior.
  • Experience with content authenticity, provenance, enterprise data protection, or governance in complex systems, and translating investigative findings into product and operational decisions across organizational boundaries.

Product Management IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.

Salary Context

This $142K-$304K range is above the 75th percentile for AI Product Manager roles in our dataset (median: $194K across 123 roles with salary data).

View full AI Product Manager salary data →

Role Details

Company Microsoft
Title Principal Product Manager, AI Investigations & Integrity - CoreAI
Location New York, NY, US
Experience Senior
Salary $142K - $304K
Remote No

About This Role

AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.

Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.

Across the 9,079 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At Microsoft, this role fits into their broader AI and engineering organization.

AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.

What the Work Looks Like

A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.

AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.

Skills Required

Azure (8% of roles) Python (18% of roles)

Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.

The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.

Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.

Compensation Benchmarks

AI Product Manager roles pay a median of $220,200 based on 947 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $229,300. Disclosed range: $142K to $304K.

Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.

Microsoft AI Hiring

Microsoft has 62 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager, AI Software Engineer, Research Scientist. Positions span New York, NY, US, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia, Redmond, WA, US. Compensation range: $128K - $331K.

Location Context

AI roles in New York pay a median of $221,000 across 3,078 tracked positions. That's 4% above the national median.

Career Path

Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.

From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.

The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.

What to Expect in Interviews

AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.

When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.

AI Hiring Overview

The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.

The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).

AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.

The AI Job Market Today

The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.

The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.

Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.

AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.

Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.

The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.

Frequently Asked Questions

Based on 947 roles with disclosed compensation, the median salary for AI Product Manager positions is $220,200. Actual compensation varies by seniority, location, and company stage.
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
About 6% of the 9,079 AI roles we track offer remote work. Remote availability varies by company and seniority level, with senior and leadership roles more likely to offer location flexibility.
Microsoft is among the companies actively hiring for AI and ML talent. Check our company profiles for detailed breakdowns of open roles, salary ranges, and hiring trends.
Common next steps from AI Product Manager positions include Director of AI Product, VP Product, Head of AI. Progression depends on whether you lean toward technical depth, people management, or product strategy.

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