Microsoft AI (MAI) is building the world’s most advanced AI systems—and rigorous, scalable human evaluation is foundational to ensuring our models are safe, aligned, and high‑quality. The Human Evaluation Operations (Human Eval Ops) team powers this by running one of the largest and most reliable human‑in‑the‑loop pipelines at Microsoft.

We are hiring two Technical Program Managers to join this team and own end‑to‑end evaluation operations for model quality, safety, and capability development. These TPMs will partner closely with product squads, engineering, data scientists, researchers, and external annotation vendors to deliver high‑quality human evaluations at scale.

You will drive programs that ensure MAI has the people, processes, training pipelines, and tooling needed to enable fast, trustworthy, and efficient evaluation across a wide range of AI tasks.

This is a highly cross‑functional, execution‑oriented TPM role ideal for someone who thrives in operational complexity, is deeply organized, and loves working at the intersection of people, process, and product quality.

• Lead Human Evaluation Programs: Drive end‑to‑end human evaluation workflows supporting model quality, safety, and capability initiatives across MAI. Coordinate evaluation planning, task design alignment, and delivery with product squads, engineering, and research partners.
• Manage Evaluation Workforce & Readiness: Oversee the health, performance, and scalability of MAI’s human evaluation workforce—including onboarding, qualification, training, and continuous performance management—to ensure reliable, high‑quality evaluation signals.
• Operational Excellence & Quality Governance: Maintain high operational standards across human‑in‑the‑loop pipelines by monitoring quality signals, resolving issues, and guiding teams toward consistent, trustworthy evaluation outcomes.
• Cross‑Functional Program Leadership: Partner with product squads to scope evaluation needs, define instructions and scorecards, support experimentation, and ensure teams are equipped to use human evaluations effectively.
• Platform & Vendor Partnership Management: Represent MAI needs to platform and vendor partners, shaping their roadmaps and ensuring capacity, reliability, and compliance with MAI standards.
• Insights, Tooling, & Documentation: Provide evaluation insights to product teams, maintain essential documentation, and influence the evolution of internal tools, dashboards, and processes that enable scalable human evaluations.
• Specialized Evaluation Programs: Support domain‑specific or advanced evaluation initiatives (e.g., expert reviews, structured scoring programs) in collaboration with MAI stakeholders.

Required Qualifications

• Bachelor’s Degree AND 2+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 1+ year(s) of experience managing cross-functional and/or cross-team projects.

Preferred Qualifications 

• 3+ years of technical program management, operations management, data operations, or equivalent experience
• 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
• Experience working cross‑functionally with engineering, research, PM, vendors, and operations partners.
• Experience managing vendor relations or external workforce programs.
• Strong analytical skills and comfort working with dashboards, metrics, and evaluation data.
• Experience running human‑in‑the‑loop data pipelines (e.g., annotations, RLHF, safety evals, quality assurance, crowdsourcing).
• Familiarity with LLM and AI model evaluation practices, data annotation platforms and systems.
• Ability to quickly understand product quality signals, debug task design issues, and iterate with engineering teams.
• Experience in operational excellence, process automation, or scaling manual workflows.

Technical Program Management IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 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 $131,400 – $215,400 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, read more about requesting accommodations.

• Build, maintain, and enhance data ETL pipelines for processing large-scale data with low latency and high throughput to support Copilot operations. 
• Design and maintain high throughput, low latency experimentation reporting pipelines that enable data scientists and product teams to measure model performance and user engagement. 
• Own data quality initiatives including monitoring, alerting, validation, and remediation processes to ensure data integrity across all downstream systems. 
• Implement robust schema management solutions that enable quick and seamless schema evolution without disrupting downstream consumers. 
• Develop and maintain data infrastructure that supports real-time and batch processing requirements for machine learning model training and inference. 
• Collaborate with ML engineers and data scientists to optimize data access patterns and improve pipeline performance for model evaluation workflows. 
• Design scalable data architectures that can handle growing data volumes and evolving business requirements. 
• Implement comprehensive monitoring and observability solutions for data pipelines, including SLA tracking and automated alerting. 
• Partner with cross-functional teams to understand data requirements and translate them into efficient technical solutions. 

Required Qualifications

• Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering
  • OR equivalent experience.

Preferred Qualifications

• Experience building and maintaining production data pipelines at scale using technologies such as Apache Spark, Kafka, or similar distributed processing frameworks. 
• Experience writing production-quality Python, Scala, or Java code for data processing applications. 
• Experience building and scaling experimentation frameworks. 
• Experience with cloud data platforms (Azure, AWS, or GCP) and their data services. 
• Experience with schema management and data governance practices. 
• Experience with real-time data processing and streaming architectures. 
• Experience with data orchestration frameworks such as Airflow, Prefect, Dagster or similar workflow management systems.
• Experience with containerization technologies (Docker, Kubernetes) for data pipeline deployment. 
• Demonstrated experience with data quality frameworks and monitoring solutions. 

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

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 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, read more about requesting accommodations.

• Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.
• Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.
• Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).
• Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.
• Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
• Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.
• Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.

Required Qualifications

• 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.

Preferred Qualifications

• Strong proficiency in Kubernetes, Docker, and container orchestration.
• Knowledge of CI/CD pipelines for Inference and ML model deployment.
• Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code.
• Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.).
• Strong programming/scripting skills in Python, Go, or Bash.
• Solid knowledge of distributed systems, networking, and storage.
• Experience running large-scale GPU clusters for ML/AI workloads (preferred).
• Familiarity with ML training/inference pipelines.
• Experience with high-performance computing (HPC) and workload schedulers ( Kubernetes operators).
• Background in capacity planning & cost optimization for GPU-heavy environments.
• Work on cutting-edge infrastructure that powers the future of Generative AI.
• Collaborate with world-class researchers and engineers.
• Impact millions of users through reliable and responsible AI deployments.
• Competitive compensation, equity options, and comprehensive benefits.

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

Software Engineering 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:
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, read more about requesting accommodations.

Copilot Discover helps hundreds of millions of people be informed, entertained, and inspired by surfacing highly relevant, trustworthy, and delightful content across Microsoft surfaces. We’re building the next generation of AI‑powered quality understanding and recommendation systems—spanning text, images, audio, and video—to curate the right content at the right moment while upholding safety and integrity.

As a Principal Applied Scientist, you’ll lead the science behind Discover’s ranking and content‑quality stack, combining LLMs, multimodal models, and large‑scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high‑caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end‑to‑end outcomes. You will contribute to the development of the next generation of MSN that is adopting the latest generative AI techniques.

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.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Lead content‑quality understanding at scale. Design and deploy models that assess credibility, usefulness, freshness, safety, and diversity across modalities; reduce misinformation/toxicity error rates through prompt‑ and model‑level innovations; build human‑in‑the‑loop and active‑learning pipelines that get better over time.
• Advance the recommendation & ranking stack. Architect and productionize large‑scale DNN/LLM‑enhanced recommenders (representation learning, sequence modeling, retrieval/ranking, slate optimization), balancing user satisfaction, content quality, and business goals.
• Own evaluation and experimentation. Define offline metrics (e.g., NDCG, ERR, calibration) and online methodologies (A/B tests, interleaving, counterfactual & bandit approaches) to confidently attribute impact and guard against regressions.
• Champion safety & trust. Partner with policy and platform teams to encode safety standards and editorial principles into the ML system; create red‑teaming, adversarial, and safeguard layers for generative and curated experiences.
• Scale E2E ML systems. Collaborate with engineering on data contracts, feature stores, distributed training/inference, and automated rollout/rollback; drive architectural investments that increase agility and reliability of Discover’s AI platform.
• Mentor & influence. Provide technical leadership across problem framing, methodology selection, code quality, and publishing/knowledge‑sharing; uplevel peers through design reviews, deep‑dives, and principled decision‑
• Stay close to users. Translate user engagements and behavioral history into model objectives and product bets; ensure our AI solutions elevate relevance, transparency, and engagement for real users.

Required Qualifications:

• Bachelor’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 Master’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 Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g. machine learning, deep learning or similar technologies)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• Have publications at top AI/ML conferences (e.g., KDD, SIGIR, EMNLP, NIPS, ICML, ICLR, RecSys, ACL, CIKM, CVPR, ICCV, etc.).
• Expertise with LLMs (prompting, finetuning, RAG), multimodal modeling, and retrieval‑augmented recommendation; familiarity with counterfactual learning and multi‑objective optimization.
• Experience building content integrity/safety systems (e.g., misinformation, harmful content, low‑quality/duplicate detection) and quality‑aware ranking.
• Demonstrated ability to lead cross‑disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped impact; mentoring scientists and setting technical vision.
• Familiarity with Microsoft stack (e.g., Azure ML, Kusto, Synapse, Azure AI Foundry).
• 2+ years of experience working with  recommender systems/ranking or content‑quality/safety models at consumer scale, with clear business impact.
• 2+ years of experience in Python and at least one major deep learning framework (PyTorch/TensorFlow) with large‑scale data processing and training/inference on distributed systems.
• 2+ years of evaluation & experimentation (offline metrics, A/B testing, bandits) and ML model development lifecycle.

   #MicrosoftAI #mai #recsys #copilot #hiring

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:
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, read more about requesting accommodations.

Online advertising is one of the fastest-growing industries, contributing around $70 billion of a $600 billion market, with billions of ad impressions served daily and terabytes of user data generated. This rapid expansion presents both immense opportunities and technical challenges that demand intelligent, scalable systems and real-time data processing at massive scale. If you’re passionate about architecting and maintaining next-generation platforms that power Microsoft’s multi-billion-dollar advertising business, this is the team for you. You’ll design and evolve complex systems, apply AI and modern technologies to solve real-world engineering problems, and collaborate across Ads and Bing teams to drive impactful innovation. We’re a fast-paced, inclusive team that values learning, ownership, and solving deep technical problems at scale.

We are looking for a self-motivated Backend Engineer to join our Microsoft Advertising Automated Bidding Engineering team within the Microsoft AI organization. Our team focuses on building highly scalable distributed systems, leveraging microservice architecture and generating auction inputs to provide optimal advertiser performance. As a member of our team, you will participate in all stages of our engineering lifecycle, from initial research and discovery to designing and delivering features end-to-end. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you.

Design and build low-latency, high-throughput systems; collaborate across teams to drive technical initiatives; participate in code reviews to ensure high-quality, scalable, and reliable services; mentor junior engineers; and own product vision, driving new investments and innovations.

• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).

• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.

• Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup’s project plans, release plans, and work items.

• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.

• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

• Bachelor’s degree in computer science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  o OR equivalent experience.
• Proficiency in data structures and algorithms, with a solid grasp of problem solving and system design principles.
• Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs.
• Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics.
• Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools.
• Knowledge of observability practices, including telemetry, structured logging, and alerting systems.

Preferred Qualifications:

• A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility.
• Working knowledge of any other cloud service.
• Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases.
• Excellent skills in design, debugging and problem solving. 
• Proven experience in shipping production-quality code in fast-paced environments.
• Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges.
  

#AdsIDCPositions

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.

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, read more about requesting accommodations.

Online advertising is one of the fastest-growing industries, contributing around $70 billion of a $600 billion market, with billions of ad impressions served daily and terabytes of user data generated. This rapid expansion presents both immense opportunities and technical challenges that demand intelligent, scalable systems and real-time data processing at massive scale. If you’re passionate about architecting and maintaining next-generation platforms that power Microsoft’s multi-billion-dollar advertising business, this is the team for you. You’ll design and evolve complex systems, apply AI and modern technologies to solve real-world engineering problems, and collaborate across Ads and Bing teams to drive impactful innovation. We’re a fast-paced, inclusive team that values learning, ownership, and solving deep technical problems at scale.

We are looking for a self-motivated Backend Engineer to join our Microsoft Advertising Automated Bidding Engineering team within the Microsoft AI organization. Our team focuses on building highly scalable distributed systems, leveraging microservice architecture and generating auction inputs to provide optimal advertiser performance. As a member of our team, you will participate in all stages of our engineering lifecycle, from initial research and discovery to designing and delivering features end-to-end. You’ll work on systems that process massive volumes of data with strict latency and reliability requirements. You’ll collaborate with product managers, data scientists, and engineers across disciplines to deliver impactful solutions that scale globally. We’re looking for engineers who are curious, collaborative, and passionate about solving complex technical challenges. If you thrive in fast-paced environments, care deeply about engineering excellence, and want to build systems that make a measurable impact—this is the team for you.

Design and build low-latency, high-throughput systems; collaborate across teams to drive technical initiatives; participate in code reviews to ensure high-quality, scalable, and reliable services; mentor junior engineers; and own product vision, driving new investments and innovations.

• Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).

• Drives identification of dependencies and the development of design documents for a product, application, service, or platform.

• Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup’s project plans, release plans, and work items.

• Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate.

• Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

• Bachelor’s degree in computer science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  o OR equivalent experience.
• Proficiency in data structures and algorithms, with a solid grasp of problem solving and system design principles.
• Hands-on experience with distributed systems, real-time data processing, and streaming platforms like Kafka or Event Hubs.
• Familiarity with cloud platforms (preferably Azure), including services for compute, storage, monitoring, and diagnostics.
• Experience with CI/CD pipelines, version control systems (e.g., Git), and build tools.
• Knowledge of observability practices, including telemetry, structured logging, and alerting systems.

Preferred Qualifications:

• A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility.
• Working knowledge of any other cloud service.
• Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases.
• Excellent skills in design, debugging and problem solving. 
• Proven experience in shipping production-quality code in fast-paced environments.
• Exposure to AI/ML concepts and practical application of AI tools to solve modern engineering challenges.
  

#AdsIDCPositions

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.

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, read more about requesting accommodations.

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, read more about requesting accommodations.

Required Qualifications:

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, read more about requesting accommodations.

Required Qualifications:

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, read more about requesting accommodations.

• You will plan with purpose through client planning as you will partner with the teams, including AEs, Specialist team to develop and execute MSA account plan, leveraging winning sales strategies replicated across clients and client types.
• You will learn about the client’s business drivers, compelling events, seasonality of business to identify opportunities to optimize consumption and partner with the Account Executive in development of sales plans for the client. Goals focus on Search and incubation product growth, as well as cross Microsoft opportunities and share accountability with the Account Executive and the team.
• You will influence existing Digital Marketing Managers and Directors, Digital Buying Groups and always leads with insights and data and tailor content and messages about ways to grow and optimize campaigns to increase business results as you influence Stakeholders and Decision Makers by sharing data insights and product demonstrations, bring to life how MSA can increase business results.
• You will optimize the existing book of client business to achieve sales targets and deliver excellent sales hygiene, consistently execute against pipeline, opportunity management, and revenue goals. Uses a solution selling mindset to identify across Microsoft opportunities that deliver end-to-end beneficial client outcomes as well as bring the best resources to overcome blockers and ensure success.
• You will support the Account Executive in building a negotiation plan to ensure smooth closing and timely renewal of contracts.
• You will maintain a positive approach during difficult objections & negotiations and demonstrate expertise in MSA’s features and incentives, including incubations products. Able to upsell and increase consumption of existing products, identify winning sales strategies, package them for efficiency and replicate them across similar client type
• Embody and promote Microsoft’s culture and values.

Required Qualifications:

• Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 2+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
  • OR Bachelor’s Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
    • OR 6+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
      • OR equivalent experience.

Preferred Qualifications:

• Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
  • OR Bachelor’s Degree in Sales, Marketing, or related field AND 5+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising) 
    • OR 8+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
      • OR equivalent experience.
• 2+ years of experience managing hands-on search advertising campaigns and other performance-based digital marketing campaigns.
• 2+ years of experience in online media or Search Engine Marketing Sales and Service experience.

#MicrosoftAI #MicrosoftAdvertising

Advertising Client Success IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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, read more about requesting accommodations.