Senior Project Management Jobs at Microsoft with Visa Sponsorship
Senior Project Management jobs at Microsoft sit at the intersection of engineering, product, and business operations, driving large-scale initiatives across cloud, AI, and enterprise platforms. Microsoft has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates with the right credentials.
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You’re joining Core AI, the team at the forefront of redefining how software is built and experienced. We create the foundational platforms, services, and developer experiences that power next-generation applications using Generative AI, enabling developers and enterprises to unlock the full potential of AI to build intelligent, adaptive, and transformative software.
You will be a technical contributor driving the applied science foundation for observability in AI agents and multi-agent systems running at scale. This role focuses on understanding how intelligent agents behave in production—their quality, safety, reliability, cost, and evolution over time. You will develop and apply scientific methods, evaluation frameworks, and measurement systems that help teams understand, benchmark, diagnose, and safely improve agent-based systems with confidence.
AI agents introduce fundamentally new observability challenges: non-deterministic execution, tool- and model-driven decision paths, emergent multi-agent behaviors, and quality signals that go far beyond traditional uptime metrics.
We are hiring multiple Senior and Principal Applied Scientists who will operate at the intersection of agent architecture, telemetry, evaluation science, and responsible AI, shaping how Microsoft measures and improves observable AI systems.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Develop evaluation and measurement frameworks for single-agent and multi-agent systems, spanning quality, safety, reliability, cost, and behavioral consistency.
- Design methodologies that connect offline evals, online signals, and production telemetry to explain how prompt, tool, model, or orchestration changes affect real-world agent performance.
- Define scientifically grounded quality signals and benchmarks for agent systems, including task success, tool-use effectiveness, plan quality, failure modes, coordination quality, and user-perceived outcomes.
- Build models and analysis techniques that help detect regressions, identify root causes, and characterize agent behavior across diverse workflows and environments.
- Advance observability for AI systems through new approaches to trace analysis, agent health modeling, behavioral clustering, anomaly detection, and multi-agent coordination analysis.
- Partner with engineering teams to operationalize evaluation and observability methods in production systems, enabling safe iteration through staged rollouts, experimentation, A/B testing, and automated regression detection.
- Contribute to instrumentation and semantic standards for agent observability, helping make agent execution more explainable, diagnosable, and comparable across systems.
- Collaborate deeply with product and platform teams across Foundry, Azure Monitor, and agent runtimes to shape end-to-end experiences for evaluation, benchmarking, monitoring, and investigation.
- Act as a technical leader by setting scientific direction, driving research-informed product decisions, mentoring others, and raising the technical bar across the organization.
Technical Focus Areas
- Evaluation science for agent and multi-agent systems: offline, online, and continuous evals; benchmark design; synthetic data; task success measurement
- Agent and multi-agent architectures: planners, tool use, memory, orchestration, and coordination patterns
- Applied machine learning and statistical methods for behavioral analysis, anomaly detection, experimentation, and regression detection
- Observability data for AI systems: traces, logs, metrics, evaluations, and cost/performance signals
- Safety and responsible AI signals: policy compliance, risk detection, auditability, and safe logging
- Benchmarking and experimentation for agent systems, including A/B tests, canaries, and staged rollouts
- Explainability and diagnosis for complex agent workflows and model-driven decision paths
Qualifications
Required Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
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 thereafter.
Preferred Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
- Experience designing evaluation methodologies, experiments, or measurement systems for complex intelligent or distributed systems
- Experience analyzing large-scale production or experimental data to derive actionable insights and drive product or system improvements
- Strong coding and prototyping skills in Python or similar languages, with the ability to work closely with engineering teams on production-facing systems
- Demonstrated ability to lead cross-team technical direction through scientific depth, influence, and strong problem framing
- Advanced degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field
- Experience building or evaluating LLM- or agent-based systems in production
- Familiarity with agent frameworks such as LangChain, LangGraph, OpenAI SDK, or equivalent orchestration frameworks
- Experience with evaluation frameworks for AI systems, including benchmarking, regression analysis, and human-in-the-loop assessment
- Experience with observability systems, telemetry analysis, or distributed tracing data in large-scale environments
- Background in AI safety, guardrails, and responsible AI measurement
- Experience with experimentation platforms, causal inference, or statistical methods for product and model evaluation
- Experience working with cloud-scale monitoring platforms such as Azure Monitor / Application Insights or equivalent
Compensation
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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:
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.
Overview
You’re joining Core AI, the team at the forefront of redefining how software is built and experienced. We create the foundational platforms, services, and developer experiences that power next-generation applications using Generative AI, enabling developers and enterprises to unlock the full potential of AI to build intelligent, adaptive, and transformative software.
You will be a technical contributor driving the applied science foundation for observability in AI agents and multi-agent systems running at scale. This role focuses on understanding how intelligent agents behave in production—their quality, safety, reliability, cost, and evolution over time. You will develop and apply scientific methods, evaluation frameworks, and measurement systems that help teams understand, benchmark, diagnose, and safely improve agent-based systems with confidence.
AI agents introduce fundamentally new observability challenges: non-deterministic execution, tool- and model-driven decision paths, emergent multi-agent behaviors, and quality signals that go far beyond traditional uptime metrics.
We are hiring multiple Senior and Principal Applied Scientists who will operate at the intersection of agent architecture, telemetry, evaluation science, and responsible AI, shaping how Microsoft measures and improves observable AI systems.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Responsibilities
- Develop evaluation and measurement frameworks for single-agent and multi-agent systems, spanning quality, safety, reliability, cost, and behavioral consistency.
- Design methodologies that connect offline evals, online signals, and production telemetry to explain how prompt, tool, model, or orchestration changes affect real-world agent performance.
- Define scientifically grounded quality signals and benchmarks for agent systems, including task success, tool-use effectiveness, plan quality, failure modes, coordination quality, and user-perceived outcomes.
- Build models and analysis techniques that help detect regressions, identify root causes, and characterize agent behavior across diverse workflows and environments.
- Advance observability for AI systems through new approaches to trace analysis, agent health modeling, behavioral clustering, anomaly detection, and multi-agent coordination analysis.
- Partner with engineering teams to operationalize evaluation and observability methods in production systems, enabling safe iteration through staged rollouts, experimentation, A/B testing, and automated regression detection.
- Contribute to instrumentation and semantic standards for agent observability, helping make agent execution more explainable, diagnosable, and comparable across systems.
- Collaborate deeply with product and platform teams across Foundry, Azure Monitor, and agent runtimes to shape end-to-end experiences for evaluation, benchmarking, monitoring, and investigation.
- Act as a technical leader by setting scientific direction, driving research-informed product decisions, mentoring others, and raising the technical bar across the organization.
Technical Focus Areas
- Evaluation science for agent and multi-agent systems: offline, online, and continuous evals; benchmark design; synthetic data; task success measurement
- Agent and multi-agent architectures: planners, tool use, memory, orchestration, and coordination patterns
- Applied machine learning and statistical methods for behavioral analysis, anomaly detection, experimentation, and regression detection
- Observability data for AI systems: traces, logs, metrics, evaluations, and cost/performance signals
- Safety and responsible AI signals: policy compliance, risk detection, auditability, and safe logging
- Benchmarking and experimentation for agent systems, including A/B tests, canaries, and staged rollouts
- Explainability and diagnosis for complex agent workflows and model-driven decision paths
Qualifications
Required Qualifications
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
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 thereafter.
Preferred Qualifications
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
- Experience designing evaluation methodologies, experiments, or measurement systems for complex intelligent or distributed systems
- Experience analyzing large-scale production or experimental data to derive actionable insights and drive product or system improvements
- Strong coding and prototyping skills in Python or similar languages, with the ability to work closely with engineering teams on production-facing systems
- Demonstrated ability to lead cross-team technical direction through scientific depth, influence, and strong problem framing
- Advanced degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, or related field
- Experience building or evaluating LLM- or agent-based systems in production
- Familiarity with agent frameworks such as LangChain, LangGraph, OpenAI SDK, or equivalent orchestration frameworks
- Experience with evaluation frameworks for AI systems, including benchmarking, regression analysis, and human-in-the-loop assessment
- Experience with observability systems, telemetry analysis, or distributed tracing data in large-scale environments
- Background in AI safety, guardrails, and responsible AI measurement
- Experience with experimentation platforms, causal inference, or statistical methods for product and model evaluation
- Experience working with cloud-scale monitoring platforms such as Azure Monitor / Application Insights or equivalent
Compensation
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $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:
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.
See all 44+ Senior Project Management Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Project Management Jobs at Microsoft.
Get Access To All JobsTips for Finding Senior Project Management Jobs at Microsoft
Align your PMP credentials before applying
Microsoft's Senior PM roles frequently list PMP certification or equivalent program management credentials as a differentiator. Having this documented before you apply signals readiness and reduces friction when the hiring team evaluates sponsorship viability alongside qualifications.
Target Microsoft's cloud and AI org specifically
Azure, Microsoft 365, and Copilot teams hire Senior PMs at higher volumes than legacy product lines. Filtering your search to these orgs puts you in front of hiring managers who are accustomed to sponsoring international candidates for technical program management work.
Understand which visa fits your nationality
Microsoft sponsors H-1B, E-3, and H-1B1 visas for this role. If you're Australian, the E-3 bypasses the H-1B lottery entirely, with no cap risk and a faster path to a start date. Confirm your eligibility before your first recruiter screen.
Raise sponsorship early in recruiter conversations
Microsoft recruiters handle sponsorship questions regularly for PM roles, but ambiguity late in the process can cause delays. Confirming your visa situation in the first call prevents your offer timeline from slipping while legal and HR align on filing requirements.
Browse open roles through Migrate Mate
Use Migrate Mate to filter Senior Project Management openings at Microsoft by visa type. This saves time by surfacing only roles where sponsorship has been confirmed, so you're not guessing which positions are actually open to international applicants.
Prepare for USCIS's specialty occupation standard
Senior PM roles at Microsoft are routinely approved as specialty occupations, but your degree field must connect to the position. A background in computer science, engineering, or information systems strengthens the petition; a degree in an unrelated field may require a credential evaluation.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Senior Project Managements?
Yes, Microsoft sponsors H-1B visas for Senior Project Management roles. The H-1B requires your position to qualify as a specialty occupation, meaning it typically calls for a bachelor's degree or higher in a directly related field. Microsoft's legal team handles the USCIS petition process, but you'll need to be selected in the annual H-1B lottery unless you qualify for a cap-exempt filing.
How do I apply for Senior Project Management jobs at Microsoft?
Apply directly through Microsoft's careers site or find open roles filtered by visa sponsorship on Migrate Mate. Tailor your resume to reflect large-scale program delivery, cross-functional stakeholder management, and familiarity with Microsoft's product ecosystem where relevant. Expect a recruiter screen followed by a structured loop of behavioral and scenario-based interviews assessing both project management depth and leadership at scale.
Which visa types does Microsoft commonly use for Senior Project Management roles?
Microsoft files H-1B petitions for the broadest range of international candidates, but also sponsors E-3 visas for Australian citizens and H-1B1 visas for nationals of Chile and Singapore. For candidates pursuing permanent residence, Microsoft supports EB-2 and EB-3 Green Card pathways. Which visa applies depends on your nationality, degree, and the specific role's requirements.
What qualifications does Microsoft expect for Senior Project Management roles?
Microsoft typically looks for a bachelor's degree in computer science, engineering, business, or a related field, combined with several years of program or project management experience at scale. PMP certification is valued but not always required. Experience coordinating across engineering, design, and business stakeholders in a technology environment is a stronger signal than credentials alone.
How do I navigate the visa filing timeline after receiving a Microsoft offer?
If you're on H-1B, Microsoft will initiate the USCIS petition after your offer is finalized, targeting an October 1 start date if you go through the regular lottery cycle. Premium processing can reduce USCIS adjudication to roughly 15 business days if your start date is urgent. E-3 and H-1B1 visa holders can often start sooner since those categories aren't subject to the annual lottery cap.