below marketmost similar roles pay hereabove market
This role pays more than
51%
of similar roles. Most pay
$189,500–$244,125
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$217k
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
661 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 633 roles with salary data.
The Principal Product Manager, AI Investigations & Integrity - CoreAI joins the team to investigate AI misuse and adversarial behavior across enterprise AI services. This role involves analyzing prompt injections, jailbreaks, and coordinated abuse from initial signals through defensible assessments of risk and attribution. You will use Python, SQL, and Kusto to analyze complex model, application, and agent telemetry to reconstruct activity and uncover patterns. Responsibilities include documenting evidence, evaluating detection quality, and translating findings into detection requirements and mitigation priorities. You must balance risk reduction with user impact while partnering to ship protections. The work focuses on investigating frontier AI and agentic systems, including attacks across model, application, and data boundaries, while building reproducible investigative workflows and evaluation datasets to improve investigation quality and efficiency.
What does a Product Manager earn?
Median $199250 from 756 postings across 96 companies.
Investigate AI misuse and adversarial behavior including prompt injection, jailbreaks, and coordinated abuse.
Analyze complex model, application, and agent telemetry using Python, SQL, and Kusto.
Document evidence, methods, and findings to enable reproducible analysis and informed mitigation decisions.
Evaluate and improve detection quality by monitoring coverage, false positives, and customer impact.
Translate investigation findings into detection requirements, mitigation priorities, and operational improvements.
Balance risk reduction with feasibility and impact on legitimate users when shipping protections.
Build reproducible investigative workflows, evaluation datasets, and analytical tools to improve investigation efficiency.
Measure detection performance and validate mitigations against evolving adversarial behavior.
What we're looking for
Bachelor's Degree and 8+ years of experience in product/program management, AI investigations, applied data science, trust and safety, security research, or related technical disciplines.
Hands-on experience using applied data science or related technical skills to investigate AI misuse, adversarial behavior, AI safety, or security incidents.
Experience assessing incomplete or conflicting evidence, testing competing hypotheses, coordinating investigations, and communicating findings and confidence.
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.
Strong command of AI and AI-assisted development tools, including command-line interfaces (CLIs).
Experience investigating frontier AI or agentic systems, including attacks across model, application, tool, or data boundaries.
Experience with AI security testing, red teaming, post-deployment safety monitoring, or incident response.