Principal Applied Science Manager - Excel Core Job at Microsoft Corporation (Redmond)

Senior Principal Engineer Core Data Platform

As an engineer well into your career, we know you're an expert at what you do an...

Location

United States , Seattle; San Francisco; Mountain View

Salary:

198300.00 - 318600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
12+ years of experience in backend software development, with a focus on distributed systems and large-scale storage solutions
8+ years of experience designing and managing highly available, large-scale storage architectures in cloud environments
5+ years of hands-on experience working with AWS storage services (S3, EBS, EFS, FSx, Glacier, DynamoDB)
Proficiency in system design, performance optimization, and cost-efficient architecture for exabyte-scale storage
Expertise in at least one major backend programming language (Kotlin, Java, Go, Rust, or Python)
Experience leading technical strategy and architectural decisions in large, multi-team engineering organizations
Strong understanding of distributed systems principles, including consistency models, replication, sharding, and consensus algorithms (Raft, Paxos)
Deep knowledge of security best practices, including encryption, access control (IAM), and compliance standards (SOC2, GDPR, HIPAA)
Experience mentoring senior engineers and driving high-impact engineering initiatives

Job Responsibility

Collaborate with partner teams and internal customers to help define technical direction and OKRs for the Core Data platform organization
Regularly tackle the largest and most complex problems on the team, from technical design to implementation and launch
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Routinely tackle complex architecture challenges and apply architectural standards and start using them on new projects
Work across senior engineering and product leaders to build strategy and design solutions to earn customers trust and business
Own key OKRs and end-to-end outcomes of critical projects in a microservices environment
Champion best practices and innovative techniques for scalability, reliability, and performance optimizations
Own engineering and operational excellence for the health of our systems and processes
Proactively drive opportunities for continuous improvements and own key operational metrics
Continually drive developer productivity initiatives to ensure that we unleash the potential of our own teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal Software Engineering Manager - Data Analytics

Build and operate core infrastructure services that power Fabric Data Engineerin...

Location

Canada , Vancouver

Salary:

142400.00 - 257500.00 CAD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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 OR equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
4+ years people management experience.
Software engineering foundation (data structures, algorithms, testing, debugging, performance) with the ability to guide and review technical decisions.
Demonstrated experience leading teams that build and ship production infrastructure (backend services, distributed systems, platform components) in cloud environments.
Understanding of distributed systems concepts, including fault tolerance, scaling, scheduling, and resource management, and ability to apply them to team-level architecture.
Proficiency in at least one backend/system language (e.g., Java, Scala, C#, C++, Python) and the ability to stay hands-on enough to unblock teams and assess designs.
Proven ability to ramp up quickly in new domains, tools, and codebases
growth mindset and learning agility.

Job Responsibility

Lead the design and delivery of world-class experiences for a new big data cloud offering, with emphasis on scale, reliability, and performance.
Manage and grow a team building core infrastructure services for data engineering and analytics workloads (compute, runtime services, job/session management, configuration, platform integrations).
Own technical strategy and execution end-to-end: translate product requirements into architecture, milestones, and high-quality production outcomes.
Drive operational excellence by establishing troubleshooting practices (logs, metrics, traces), guiding root-cause analysis, and converting operational learnings into engineering improvements.
Improve platform scalability, resiliency, and observability, including automation to reduce operational toil
ensure best practices are adopted consistently across the team.
Partner cross-functionally with product and engineering leaders to deliver end-to-end features, align priorities, and continuously raise the quality bar.
Coach and mentor engineers, provide technical guidance and performance feedback, and foster a culture of ownership, high standards, and continuous learning.

Fulltime

Principal Portfolio Launch Excellence, International

The Principal Portfolio Launch Excellence reports to the International Portfolio...

Location

Switzerland , Zug

Salary:

Not provided

Exact Sciences

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in business administration or field as outlined by essential duties
12+ years of cross functional management experience with demonstrated record of accomplishment and delivering results
8+ years of experience leading (directly or indirectly) experienced, complex teams in a healthcare, life sciences, pharma, or medical device company
Demonstrated proficiency in implementing multiple operational and/or marketing projects/programs simultaneously
Strong understanding of program and project management processes, principles, and methodologies
Expert project management software skills
including Smartsheet, Miro, and Microsoft Office PowerPoint, Word, and Excel
Demonstrated ability to perform the essential duties of the position with or without accommodation
Authorization to work in the United States without sponsorship

Job Responsibility

Lead commercial launch readiness workstream to ensure comprehensive commercial launch planning and timely execution
Drive action throughout the organization to expedite market access & preparation in line with international needs for launch success
Design and deploy an effective structure for commercial launch planning, based on the scope of the product/service offering, resources available, and timeline
Facilitate productive, cross functional meetings with clear agendas and action items
Provide a clear summary of decisions, issues, and actions to ensure key stakeholders are appropriately informed and can act accordingly
Develop, track and report against detailed project timelines/work plans, schedules, status reports, resource plans, budgets and status reports
Serve as a member of the product core team to advance commercial launch readiness and report on progress, risks and mitigations
Apply a robust, screening & precision oncology focused process for commercial launch planning of new products, product enhancements, and services
seek to understand and advocate for adaptations or deviations that may be needed to support a particular launch
develop alternative approaches for execution and communicate rationale

Fulltime

Principal Product Manager

Do you enjoy creating analysis and insights that solve whitespace problems? Are ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience
Ability to intelligently integrate a wide range of large-scale data sets and analysis to answer core business questions and discover growth opportunities for a product
7+ years' experience working as a Data Scientist / analyst, within a large organization (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
Software-engineering fundamentals and ability to write production-quality code using modern development practices (GitHub, CI/CD, code reviews)
Solid working knowledge of ML/Python/R/MATAB/C#/Java/C++/SQL/Synapse/COSMOS or similar programming, including the ability to write complex queries, models and procedures to extract or transform data from various sources
Advanced skills in Excel, including the ability to create and manipulate complex statistical models, perform data analysis using advanced functions, such as pivot tables, data validation, and macros
Excellent oral and written communication skills and ability to present and discuss data models and analysis to a range of audiences across development, operations, leadership, and business teams in Microsoft
Power BI and Tableau data visualization experience, Python and R coding skills are a significant plus
Familiarity with multiple ML domains: NLP (Natural Language Processing), predictive modeling, time-series forecasting, deep learning, and reinforcement learning
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

Collaborate: Develop an accountability framework and manage dependencies across a wide array of individuals in partner teams to deliver actionable insights into key business priorities
Innovate: Establish business intelligence tools, descriptive & predictive analysis that help identify opportunities and manage regular rhythm of business forums to push for actionable insights for leaders. Drive innovations in the way we think about data across the org using traditional BI & modern AI technologies
Experiment: Analyze the engagement funnels, growth and churn influencers to recommend the right set of experimentation to run experiments, especially in OneDrive Photos & Lists experiences. Statistically analyze and contribute to determining the impact of the experimentation to validate hypothesis via success metrics
Create: Guide engineering build telemetry and data pipelines required to generate metrics you identify and design dashboards that allow everyone in the org to view and explore data through self-service tools. Develop deeper understanding of customers, perform cohort/segment/patterns analysis to interpret data beyond top metrics to uncover new growth opportunities
Build a “data analysis practice” with both full- and self-service models for investigations, and a regular engagement rhythm to empower the entire organization with data-driven decisions / suggestions
Drive excitement, adoption, and satisfaction about the product/service by ensuring that Microsoft stakeholders and partners are well-prepared with the appropriate information, collateral, and messaging
Work with data on a massive scale. Our Platform is used by 100s of millions of users per month
Be a self-starter, learn quickly with a growth mindset and ability to deal with a lot of ambiguity.

Fulltime

Principal Software Engineer AI/ML

Microsoft’s Path team helps customers along their journey from the initial idea ...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Design and implement agentic AI workflows that assist in data discovery, preparation, profiling, validation, and performance optimization
5+ years of experience designing and implementing hyperscale distributed platforms and cloud services
Experience in high-scale service architecture, Azure technologies (Azure Kubernetes Service, Cosmos DB, Blob Storage), and modern cloud patterns

Job Responsibility

AI-first Technical Leadership
Solve complex challenges in distributed systems and help shape the vision for agentic, AI-powered work management
Architect and implement core features for the Task and Work Management platform
Ensure secure, high-quality product delivery, overseeing system architecture and code quality
Lead end-to-end delivery of complex projects with AI-powered solutions that are scalable, robust, and aligned with customer needs as well as business outcomes that support millions of customers and requests per second
Embed AI-first mindset into design, development, testing, and developer tooling to streamline SDLC delivery workflows, leveraging automation and agent orchestration
Drive engineering excellence through reusable components, accelerators, code generators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and security & privacy compliance requirements
Collaborate with internal stakeholders and external partner teams to define architecture, integration points, delivery plans, milestones, and risk mitigation approaches
Ensure delivery models are optimized for modern AI-native execution, including integration

Fulltime

Principal Consultant - Apps

Microsoft Industry Solutions - Global Center Innovation and Delivery Center (GCI...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

20+ years of experience in software/solution engineering, with at least 10–15 years as Architect and delivery leadership roles
Proven experience in leading delivery of complex, multi-disciplinary projects
Strong understanding of modern delivery methodologies (Agile, Scrum, DevOps, etc.)
Excellent communication, stakeholder management, problem-solving, and team leadership skills
Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience)
Relevant certifications are a plus
End‑to‑end design and development of modern web and mobile applications using React, Angular, Next.js, Blazor, or equivalent frameworks
Strong backend engineering expertise using .NET, Java, Node.js, or Python, applying clean architecture, domain‑driven design, and API‑first principles
Experience building scalable microservices and distributed systems, leveraging REST, gRPC, event‑driven architectures, and asynchronous processing
Hands‑on data and platform fundamentals, including relational and NoSQL databases (Azure SQL, PostgreSQL, Cosmos DB), performance tuning, scalability, resiliency, and application security

Job Responsibility

Embed AI-first principles into delivery workflows, leveraging automation and intelligent orchestration where applicable
Own the Architecture and drive end-to-end delivery of complex projects, ensuring solutions are scalable, robust, and aligned with client business outcomes
Drive engineering excellence through reusable components, accelerators, and scalable architecture
Oversee technical execution across multiple projects, ensuring adherence to best practices, quality standards, and compliance requirements
Collaborate with clients and internal stakeholders to define strategies, delivery plans, milestones, and risk mitigation approaches
Act as a technical point of contact for clients, translating business requirements into scalable technical solutions
Ensure delivery models are optimized for modern, AI-native execution, including integration of automation and intelligent processes
Ability to step into at‑risk projects, quickly assess issues, and establish a credible path to recovery or exit
Champion high-quality engineering practices across all delivery engagements
Ensure adherence to coding standards, architectural integrity, and performance benchmarks

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Principal Applied Science Manager - Excel Core

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 04, 2026

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