CrawlJobs Logo

Principal AI Safety Program Manager

https://www.microsoft.com/ Logo

Microsoft Corporation

Location Icon

Location:
United States , Redmond

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

139900.00 - 274800.00 USD / Year

Job Description:

We are looking for a Principal AI Safety Program Manager to join us and to create strategies on improving our approach to AI Security & Safety to deliver on that promise. We are the Artificial Generative Intelligence Security (AeGIS) team, and we are charged with ensuring justified confidence in the safety of Microsoft’s generative AI products. This encompasses providing an infrastructure for AI safety & security; serving as a coordination point for all things AI incident response; researching the quickly evolving threat landscape; red teaming AI systems for failures; and empowering Microsoft with this knowledge. We partner closely with product engineering teams to mitigate and address the full range of threats that face AI services – from traditional security risks to novel security threats like indirect prompt injection and entirely AI-native threats like the manufacture of NCII or the use of AI to run automated scams.

Job Responsibility:

  • Designing methodologies for teams to build safely and effectively, with a clear eye towards those being directly useful and applicable by real teams
  • Partnering with AI creation platforms that target non-pro AI builders to incorporate methodologies that allow non-pro AI builders to understand the risks of what their building and empowering them to make informed risk tradeoffs
  • Ideating and prototyping tools that help both pro- and non-pro AI builders understand the risks of what they’re building throughout its development – from ideation to deployment
  • Work with our education and training team to develop content in a range of formats (presentations, interactive workshops, labs and whitepapers) to bring the knowledge of how to build AI safety and securely to a wide audience
  • Build collaborative relationships with other stakeholder teams working on Responsible AI to scale out AI Safety methodologies
  • Build collaborative relationships with other security teams to scale out AI security methodologies
  • Help define new policies and procedures (or changes to existing ones) that ensure that customers can have justified trust in Microsoft’s AI services
  • Embody our Culture and Values

Requirements:

  • Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
  • 3+ years of experience managing cross-functional and/or cross-team projects
  • Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Nice to have:

  • Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience
  • 8+ years of experience managing cross-functional and/or cross-team projects
  • 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos)
  • 5+ years product experience in any of the safety disciplines in computer science (abuse, security, privacy, etc)
  • 5+ years experience in assessing systems for practical security, privacy, or safety flaws and helping teams mitigate identified risks
  • 3+ years experience with a socio-technical safety space (e.g. online safety, privacy)
  • 2+ years experience using AI to build tools and/or agents AND 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos)

Additional Information:

Job Posted:
February 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Principal AI Safety Program Manager

AI Product Manager

We’re scaling AI and machine learning across our products, devices, and operatio...
Location
Location
United States , Boston
Salary
Salary:
121300.00 - 177900.00 USD / Year
simplisafe.com Logo
SimpliSafe
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of product management experience, including significant ownership of AI/ML or data-intensive products
  • Clear track record of shipping production ML systems (not just integrating third-party AI APIs), in close partnership with data science, ML engineering, and MLOps
  • Principal-level impact: leading cross-team initiatives, shaping strategy, and influencing senior stakeholders
  • Strong understanding of core ML concepts and lifecycle: data, labeling, training/validation, evaluation metrics, deployment, monitoring, and retraining
  • ML experience with at least one of following: computer vision or sensor data, LLM-powered applications (prompting, RAG, fine-tuning, evaluation) and/or hardware or edge products (e.g., on-device models, connectivity/latency trade-offs)
  • Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting)
  • Comfortable going deep into data, metrics, and model behavior—not just the UX layer
  • Excellent communicator who can make complex AI topics clear to diverse audiences
  • Strong alignment with our values: customer-obsessed, low ego, highly collaborative, comfortable with ambiguity, and biased toward learning and iteration.
Job Responsibility
Job Responsibility
  • Define and communicate the multi-year roadmap for key AI/ML capabilities across SimpliSafe
  • Identify and prioritize AI opportunities where models and data can materially improve safety, customer experience, or efficiency—on both devices and cloud services
  • Make build-vs-buy decisions for AI capabilities in partnership with data science and engineering
  • Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions—from problem framing through data, training, evaluation, deployment, and monitoring
  • Work with hardware and embedded teams to shape edge AI/ML experiences (e.g., on-device detection, low-latency decisions, bandwidth-aware designs)
  • Define model-level requirements (metrics, latency, cost, guardrails) and connect them to business outcomes (e.g., false alarm reduction, detection accuracy, handle time, CSAT)
  • Translate product needs into requirements for ML platform capabilities (model serving, observability, experiment tracking, human-in-the-loop tools)
  • Lead product direction for LLM and multimodal use cases (e.g., text, vision, sensor data)
  • Decide when to use prompt engineering, RAG, fine-tuning, or traditional ML—and how to evaluate quality, safety, and hallucinations
  • Design workflows that incorporate human review and escalation where needed
What we offer
What we offer
  • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow, and thrive
  • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
  • Free SimpliSafe system and professional monitoring for your home
  • Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
  • Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits.
  • Fulltime
Read More
Arrow Right

AI Machine Learning Principal Engineer

Our Regulatory Engineering team thrives on the challenge of operating in a compl...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
dell.com Logo
Dell
Expiration Date
March 31, 2026
Flip Icon
Requirements
Requirements
  • Requires 8+ years of related experience in a professional role with a Bachelor’s degree
  • or 6+ years with a Master’s degree
  • or 3+ years with a PhD
  • or equivalent experience
  • Knowledge on product compliance, Safety, EMC, Wireless, Telecom and Environmental (e.g. Energy, Material, ECO Labels, Accessibility, Repairability, Packaging and etc.) legislation programs will be plus
  • Track record of being an enthusiastic and effective team player with experience leading and influencing internal and external stakeholders to ensure successful outcomes
Job Responsibility
Job Responsibility
  • Apply knowledge of AI machine learning, statistics, optimization, software engineering and data engineering to produce code for testing, operationalizing and governing software-integrated machine learning models
  • Works with stakeholders including business owners, software engineers, data scientists and data engineers to align and execute end-to-end solutions which start with data collection and management, extend through machine learning methodologies and efficiencies in software engineering, and end with governance of machine learning model performance
  • Optimizes code for existing data streams, machine learning models and APIs using best practices in software engineering and experimental design
  • Defines best practices for AI ML engineering, code optimization, model and system validation and model governance and educates prospects and customers on analytics and machine learning offerings
  • Leads the design and testing of analytical technologies, or the development/testing of new algorithms/functions to enhance capabilities within key market segments of interest
  • Leads definition of machine learning and data analytics vision, multiple use-case evaluation and selection criteria, as well as project-level scope definition for customers
  • Proactively identifies gaps and collaborates with engineering teams to find solutions, while solidifying commitments to execute these
  • Drives partnerships & relationships with third parties to develop vertical/horizontal analytical solutions and product integrations
What we offer
What we offer
  • Comprehensive Healthcare Programs
  • Award Winning Financial Wellness Tools and Resources
  • Generous Leave of Absence for New Parents and Caregivers
  • Industry Leading Wellness Platform
  • Employee Assistance Program
Read More
Arrow Right

Principal Hardware Technical Program Manager

Microsoft Quantum team is dedicated to developing the first scalable, fault-tole...
Location
Location
United States , Santa Barbara
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
  • 6+ years of experience managing cross-functional and/or cross-team projects
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Ability to apply AI to accelerate engineering and lab workflows
  • Ability to evaluate agentic solutions with measurable metrics and humanintheloop safeguards following Microsoft Responsible AI requirements for generative AI
Job Responsibility
Job Responsibility
  • Program Management: Lead all phases of quantum hardware projects, from concept to delivery, working closely with architects, scientists, and engineers for success
  • Create concise, data-driven updates on program status, risks, dependencies, and impact for stakeholders and senior executives
  • Planning & Roadmapping: Coordinate with leadership and engineering teams to build and maintain clear development roadmaps, align milestones, manage resources, and support long-term goals
  • Guide Agile processes, encourage transparency, and remove obstacles to meet critical deadlines
  • Team Coordination: Ensure effective collaboration across device physics, cryoelectronic, materials science, manufacturing, supply chain, integration, and cloud hardware operations for scalable solutions
  • Customer Feedback: Use input from internal and pilot customers to improve hardware and processes
  • This includes potential customers from US Government
  • Risk Mitigation: Identify and reduce risks in technology, scheduling, and operations, applying continuous improvement throughout
  • Supplier Relations: Manage external partnerships, enforce quality and safety standards, and drive cross-company compliance
  • Culture & Mentorship: Foster respect, collaboration, integrity, inclusivity, and continuous learning within the team
  • Fulltime
Read More
Arrow Right

Principal Hardware Technical Program Manager - Quantum

Microsoft Quantum team is dedicated to developing the first scalable, fault-tole...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 6+ years experience in engineering, physics or a related STEM field, product/technical program management, data analysis, or product development OR equivalent experience
  • 3+ years of experience managing cross-functional and/or cross-team projects
  • 3+ years of experience managing large-scale, interdisciplinary hardware technology projects from concept to delivery, including system integration, cross-functional team leadership, and coordination across multiple teams
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • Ability to apply AI to accelerate engineering and lab workflows
  • Ability to evaluate agentic solutions with measurable metrics and humanintheloop safeguards following Microsoft Responsible AI requirements for generative AI
Job Responsibility
Job Responsibility
  • Program Management: Lead all phases of quantum hardware projects, from concept to delivery, working closely with architects, scientists, and engineers for success
  • Create concise, data-driven updates on program status, risks, dependencies, and impact for stakeholders and senior executives
  • Planning & Roadmapping: Coordinate with leadership and engineering teams to build and maintain clear development roadmaps, align milestones, manage resources, and support long-term goals
  • Guide Agile processes, encourage transparency, and remove obstacles to meet critical deadlines
  • Team Coordination: Ensure effective collaboration across device physics, cryoelectronic, materials science, manufacturing, supply chain, integration, and cloud hardware operations for scalable solutions
  • Customer Feedback: Use input from internal and pilot customers to improve hardware and processes
  • This includes potential customers from US Government
  • Risk Mitigation: Identify and reduce risks in technology, scheduling, and operations, applying continuous improvement throughout
  • Supplier Relations: Manage external partnerships, enforce quality and safety standards, and drive cross-company compliance
  • Culture & Mentorship: Foster respect, collaboration, integrity, inclusivity, and continuous learning within the team
  • Fulltime
Read More
Arrow Right
New

Principal AI Safety Engineer for Autonomous Vehicles Technical Lead

The AV Safety Strategy and Assessment team is seeking an AI Safety Technical Lea...
Location
Location
United States
Salary
Salary:
250600.00 - 384600.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field
  • or equivalent practical experience
  • 10+ years of experience in AI/ML, engineering or a related field
  • 5+ years in autonomous vehicles, robotics or related field
  • Experience in Machine Learning & AI: Extensive experience in building large-scale models with significant focus on E2E validation. Experience using Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
  • AI Standards and Evolving Regulations: Understanding of ISO/PAS 8800, NIST AI Risk Management Framework, EU AI Act (2024-2027), other applicable industry standards and best practices for autonomous vehicles, aerospace and/or robotics.
  • Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
  • Cloud & Big Data Platforms: ( Preferred Microsoft Azure - Data Lake, Machine Learning, Databricks)
  • Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
  • Data Analysis & Visualization : Tableau, PowerBI, Pandas, NumPy
Job Responsibility
Job Responsibility
  • Lead the development of AI safety strategies for ADS and establish safety engineering guidance and sufficiency criteria.
  • Actively engage with partners and seek input, provide technical expertise to inform leadership decision-making, and take ownership of technical projects
  • Define GM’s strategy for AI safety standards, engage externally to influence evolving standards, and contribute to internal and external thought leadership that strengthens GM’s position in the autonomous vehicle ecosystem.
  • Support regulatory rulemaking and policy responses related to AI safety-critical systems.
  • Establish an assurance plan and process to evaluate AI-related safety case evidence and verify that sufficiency criteria are met.
  • Provide AI expertise and safety guidance across Global Product Safety, Systems, and Certification activities.
  • Identify and drive opportunities to improve the efficiency and quality of safety work through the application of AI methodologies.
  • Mentor and develop team members, fostering a culture of technical excellence and continuous learning.
What we offer
What we offer
  • medical
  • dental
  • vision
  • Health Savings Account
  • Flexible Spending Accounts
  • retirement savings plan
  • sickness and accident benefits
  • life insurance
  • paid vacation & holidays
  • tuition assistance programs
  • Fulltime
Read More
Arrow Right

Principal Technical Program Manager

The Office of the Chief Technology Officer (OCTO) for Microsoft is chartered wit...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
  • 3+ years of experience managing cross-functional and/or cross-team projects
  • 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 thereafter
Job Responsibility
Job Responsibility
  • Lead Microsoft-wide RAI initiatives that establish durable safety, compliance, and governance practices across engineering, product, and research organizations
  • Define long‑range technical strategy and architectural direction for RAI platforms, tools, and processes, partnering with architects, safety experts, and product leadership
  • Influence senior stakeholders across multiple organizations to align on safety requirements, evaluation frameworks, and regulatory readiness
  • Translate complex and emerging safety, regulatory, and policy requirements into scalable technical guidance, decision frameworks, and prioritized engineering workstreams
  • Shape and steward architectural decisions for safety review pipelines, evaluation and measurement systems, and other core RAI capabilities
  • Navigate ambiguous problem spaces, drive clarity, and guide leaders through risk tradeoffs and decision‑making
  • Represent OCTO across Microsoft and externally, helping articulate Microsoft’s RAI strategy and influencing industry direction
  • Drive execution at scale across diverse engineering teams, anticipating blockers and shaping cross‑functional solutions
  • Mentor and elevate Technical Program Manager peers, strengthening technical excellence and fostering a culture of responsible innovation that reflects our Culture and Values
  • Fulltime
Read More
Arrow Right

Principal Hardware Technical Program Management - Quantum

Microsoft Quantum team is dedicated to developing the first scalable, fault-tole...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 6+ years experience in engineering, physics or a related STEM field, product/technical program management, data analysis, or product development OR equivalent experience.
  • 3+ years of experience managing large-scale, interdisciplinary hardware technology projects from concept to delivery, including system integration, cross-functional team leadership, and coordination across multiple teams.
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
  • Ability to work in an “AI-first” environment using modern AI tools to accelerate discovery through both hardware and software development.
  • Ability to design and build AI agents/copilots that assist with experiment setup, log triage, measurement report generation, protocol templating, and knowledge retrieval.
Job Responsibility
Job Responsibility
  • Program Management: Lead all phases of quantum hardware projects, from concept to delivery, working closely with architects, scientists, and engineers for success. Create concise, data-driven updates on program status, risks, dependencies, and impact for stakeholders and senior executives.
  • Planning & Roadmapping: Coordinate with leadership and engineering teams to build and maintain clear development roadmaps, align milestones, manage resources, and support long-term goals. Guide Agile processes, encourage transparency, and remove obstacles to meet critical deadlines.
  • Team Coordination: Ensure effective collaboration across device physics, cryoelectronic, materials science, manufacturing, supply chain, integration, and cloud hardware operations for scalable solutions.
  • Customer Feedback: Use input from internal and pilot customers to improve hardware and processes. This includes potential customers from US Government.
  • Risk Mitigation: Identify and reduce risks in technology, scheduling, and operations, applying continuous improvement throughout.
  • Supplier Relations: Manage external partnerships, enforce quality and safety standards, and drive cross-company compliance.
  • Culture & Mentorship: Foster respect, collaboration, integrity, inclusivity, and continuous learning within the team.
  • Other: Embody our Culture and Values.
  • Fulltime
Read More
Arrow Right

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...
Location
Location
United States , Pleasanton, California
Salary
Salary:
251000.00 - 314500.00 USD / Year
blackline.com Logo
BlackLine
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
  • 10+ years in ML infrastructure, DevOps, and software system architecture
  • 4+ years in leading MLOps or AI Ops platforms
  • Strong programming skills in languages such as Python, Java, or Scala
  • Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
  • Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
  • Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
  • Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
  • Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
  • Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads
Job Responsibility
Job Responsibility
  • Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
  • Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
  • Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
  • Lead incident response and reliability strategies for ML/AI systems
  • Lead the deployment of AI models and systems in various environments
  • Collaborate with development teams to integrate AI solutions into existing workflows and applications
  • Ensure seamless integration with different platforms and technologies
  • Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
  • Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
  • Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics
What we offer
What we offer
  • short-term and long-term incentive programs
  • robust offering of benefit and wellness plans
  • Fulltime
Read More
Arrow Right