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manager, product engineering

manager product engineering

AAON

<div>Job Description:
The Manager, Product Engineering is responsible for leading, developing, and managing a multidisciplinary engineering team to successfully design, improve, launch, and support HVAC-based product lines. This role blends product leadership, engineering execution, operational strategy, and cross-functional collaboration to drive innovation, product performance, manufacturability, customer satisfaction, and profitability.
RESPONSIBILITIES:
<ul><li>Lead and mentor a team of product engineers and technical staff.
</li><li>Direct product development from concept through launch, validation, and lifecycle support.
</li><li>Establish engineering processes, documentation standards, and technical quality benchmarks.
</li><li>Align engineering output with business goals, cost targets, compliance requirements, and product roadmap decisions.
</li><li>Guide product research, modeling, heat-transfer analysis, mechanical design, testing, and certification.
</li><li>Collaborate with manufacturing teams to enhance design-for-build efficiency and resolve factory issues.
</li><li>Drive BOM accuracy, drawings, engineering data, and documentation for release to production.
</li><li>Work cross-functionally with sales, marketing, and leadership to support product strategy and pricing inputs.
</li><li>Investigate customer issues and warranty trends, lead RCA efforts, and implement engineering improvements.
</li><li>Support regulatory adherence with DOE, AHRI, ASHRAE and industry certification requirements.
</li></ul>QUALIFICATIONS:
<ul><li>Bachelor&rsquo;s degree in mechanical engineering or related discipline (MS preferred).
</li><li>10+ years of HVAC engineering or related mechanical product experience.
</li><li>3-5 years of refrigeration &amp; hydronic piping design experience
</li><li>Prior leadership, technical mentoring, or engineering management experience.
</li><li>Proficiency in 3D modeling (Inventor preferred), BOM development, thermodynamics, refrigeration cycles.
</li><li>Demonstrated ability to drive execution, solve complex engineering challenges, and deliver results.
</li><li>Strong communication, analytical decision-making, and project management ability. 
</li></ul> 
PREFERRED SKILLS:
<ul><li>CFD/FEA simulation proficiency.
</li><li>Knowledge of electromechanical controls, motors, VFDs, PLCs, sensors.
</li><li>Field testing, product validation, lab data interpretation experience.
</li><li>Business, P&amp;L awareness, cost-reduction and product competitiveness mindset.
</li></ul>WORK ENVIRONMENT:
 
Office-based role with routine production-floor presence and occasional test-lab or field-site travel.
Benefits and Compensation Summary:
We take care of our people. We offer competitive compensation and robust benefits to all full-time team members, including:
<ul><li>Tuition reimbursement
</li><li>Paid time-off
</li><li>Paid holidays
</li><li>Healthcare insurance &amp; Health Savings Accounts
</li><li>Profit sharing or Annual Incentive Plan Bonus
</li><li>Premium 401(k) plan
</li></ul>Pay Range:
$111,348.00 - $167,023.00</div>

Manager, Product Engineering

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Amazon Leo is Amazon&rsquo;s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. 
 
Leo-Lens is pioneering agentic AI for satellite network diagnostics to report, troubleshoot and mitigate issues across our satellite and E2E network stack, automate workflows for ecommerce and mission operations and other product /developer use cases. We're seeking a Senior Software Development Manager to lead engineering teams building the next generation of AI-powered diagnostic capabilities. 
 
Key job responsibilities 
Lead engineering teams responsible for agent development, data integration, and platform services. 
Technical design and architecture of agentic AI solutions and applications to Leo 
Own end-to-end delivery of complex, multi-team initiatives including infrastructure migrations and platform improvements. 
Build and scale engineering teams through effective hiring, onboarding, and talent development. 
Drive prioritization across workstreams, balancing stability with feature development. 
Partner with product, security, and operations teams to deliver customer-facing AI features. 
Establish mechanisms for cross-team coordination, integration testing, and engineering excellence. 
Own relationships with internal stakeholders and ensure alignment on technical roadmap.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>10+ years of engineering experience</li><li>7+ years of engineering team management experience</li><li>10+ years of planning, designing, developing and delivering consumer software experience</li><li>Experience partnering with product or program management teams</li><li>Experience managing multiple concurrent programs, projects and development teams in an Agile environment</li><li>Strong background in AI platform and infrastructure</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience partnering with product and program management teams</li><li>Experience designing and developing large scale, high-traffic applications</li><li>Experience with AI/ML technologies</li><li>Experience leading the design, automation, deployment, and support of large-scale infrastructure</li><li>Track record of delivering large-scale, high-traffic applications</li><li>Experience with security reviews and compliance requirements</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Redmond - 220,100.00 - 297,700.00 USD annually</div>

Senior SW Manager, Leo AI foundations, Payload SW

Microsoft

<div>Overview<div> 
Excel is one of the most widely used and impactful software programs in the world, powering solutions for businesses and individuals across every industry. We are seeking a Principal Applied Science Manager to join the Excel Core team&mdash;an opportunity to shape the future of productivity and influence hundreds of millions of users globally. Your mission: bring cutting-edge Artificial Intelligence (AI) technologies, patterns, and model capabilities into production, delivering intelligent experiences directly in the Excel grid.
As a Principal Applied Science Manager, you will work at the intersection of research and engineering&mdash;leading an Applied Science team, writing production-quality code, collaborating with researchers and engineers, and fostering a culture of rapid experimentation that ships. You&rsquo;ll help define the next generation of AI-powered features in Excel, blending scientific rigor with engineering excellence to create experiences that delight users and transform workflows.
Opportunities in Excel:<ul><li>
AI-Powered Intelligence in the Grid: Design and deliver Copilot‑powered contextual experiences that improve customer workflows through inline, intelligent assistance. Build scalable systems that anticipate user needs and surface relevant guidance to help users complete their tasks efficiently.</li><li>
Develop innovating new functions using Copilot to mix the power of AI with the versatility and richness of the Excel Calculation engine.</li><li>
Core Platform Innovation: Excel core functionality and fundamentals, including the Calculation Engine, Collaboration Experiences, Performance and Accessibility.</li><li>
Data Visualization &amp; Business Intelligence: Reinvent how users interact with data through PivotTables, Charting, and new Copilot-driven insights.</li><li>
Cloud-Scale Architecture: Re-architect the service-backed infrastructure that powers collaboration, Copilot, and core cloud capabilities by optimizing file storage and service protocols.</li><li>
Strategic Enterprise Partnerships: Work closely with high-impact customers to refine and extend Excel&rsquo;s platform with a focus on the core fundamentals&mdash;calculation, collaboration, reliability, and performance.</li></ul>
Microsoft&rsquo;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.</div> 
Responsibilities 
<div><ul><li>
Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft&rsquo;s core productivity products.</li><li>
Drive complex orchestration of Copilot workflows and agent pipelines, blending prompt engineering, tool invocation, and context grounding for productivity scenarios.</li><li>
Contribute to the end-to-end development, deployment, and continuous improvement of advanced multimodal machine learning (ML)/ large language model (LLM) systems&mdash;including dataset curation, labeling strategy, model architecture, scalable training, and rigorous evaluation (offline and online).</li><li>
Stay current with research and industry trends, identifying opportunities to integrate emerging technologies and methods into the Excel Core ecosystem across the entire spectrum of AI adoption.</li><li>
Effectively communicating with product leaders (and often Microsoft researchers (MSR)) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.</li><li>
Collaborate with engineering and product teams to define success metrics, design and execute experiments (e.g., A/B testing), monitor user signals, and iterate on deployed features.</li><li>
Embody our culture and values.</li></ul></div> 

Qualifications 
Required Qualifications:<div><ul><li>
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)<ul><li>
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)</li><li>
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).</li><li>
OR equivalent experience.</li></ul></li><li>
1+ year(s) of people management experience.</li></ul>
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:<ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul>
Preferred Qualifications:<div><ul><li>
Experience orchestrating LLM-based agent pipelines - prompt engineering, tool invocation, context grounding and evaluation - for productivity scenarios, alongside other advanced ML techniques.</li><li>
Advanced degree (Master or PhD) in Computer Science, Math, Statistics, or related areas with industry experience or research publication in LLMs, ML, or Natural language processing (NLP).</li><li>
Proven expertise and background in designing and implementing AI models that serve millions of users in scaled production environments or agent-based workflows for real-world productivity applications.</li><li>
Demonstrated success moving applied research into shipped product features, with clear ownership of the end-to-end ML lifecycle&mdash;data collection, cleaning, modeling, evaluation, prompt engineering and continuous improvement.</li><li>
Experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.</li><li>
Deep understanding of transformer-based architectures and hands-on experience with model optimization techniques (quantization, pruning, distillation, adapter tuning).</li><li>
Customer-obsessed mentality and passion for translating research breakthroughs into meaningful product impact.</li><li>
Experience in designing and debugging complex services.</li><li>
Ability to communicate and collaborate with multiple teams.</li></ul><div> 
#appliedsciences
 
#appliedscientist
 
#excelcore</div></div></div> 
 
 
Applied Sciences M5 - 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.</div>

Principal Applied Science Manager - Excel Core

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Leo is Amazon&rsquo;s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we&rsquo;ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. 
 
Export Control Requirement: 
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum 
 
As a Manager for Manufacturing Quality Engineering for a Line Replaceable unit at Amazon Leo, you will be directly responsible for the production process development, introduction, improvement, &amp; maintenance of a key module on our next generation spacecraft. You&rsquo;ll be the leading technical voice for a team of quality engineers working on the product, solving challenging technical problems associated with delivering an ultra-high-performing optical, electrical, and mechatronic module to space.
 
 
Key job responsibilities 
<ul><li>Taking ownership of quality management system processes for satellite production</li><li>Leading quality engineers, inspectors, and technicians in deployment of proactive QA measures alongside production demands</li><li>Reporting metrics, coaching team members, and guiding QMS enhancements and improvements</li><li>Coaching on Advanced Product Quality Planning (APQP) and Statistical Process Control (SPC) tools</li><li>Drive improvement for yield improvement
</li><li>Daily leadership call for provide the updates for high severity issue</li><li>Manage Production QE, Production QE and Quality Inspector team
</li><li>Lead the containment activity and root cause investigation for high severity to product and business.
</li><li>Leading root-cause corrective actions and participating in Material Review Board (MRB) activities.</li><li>Manage the block stock inventory and lead the site to disposition the non conformance that found at incoming quality and warehouse block stock inventory.
</li><li>Provide coaching and lead process flow diagrams, PFMEAs, control plans, MSAs, SPC and other APQP artifacts to support continued high quality production.</li><li>Support operations team directly by being a high solving power engineer, capable of bringing multiple diverging technical perspectives together in high pressure escalation moments such as quality containment.</li><li>Working within an AS9100 (or similar) certified quality system</li><li>Conduct rigorous Continuous Improvement activities to prevent recurrence of non-conformances during assembly.</li><li>Implements the Leo's Quality System through process development and launch mechanisms.</li></ul> 
A day in the life 
You will serve as a key lynchpin connection design/development, factory operations, quality engineering, program management, and more as you drive the manufacturing processes, we use from initial production introduction to full rate production. You will leverage your expertise in Quality System and design to partner with development on the design of future iterations of the system and sub-assembly and our associated production test systems &amp; tooling. 
 
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>2+ years of senior management and leadership responsibilities experience</li><li>Bachelor's degree in engineering or equivalent</li><li>5+ years experience in large product assembly, quality engineering, manufacturing, or operations through a production lifecycle development</li><li>5+ years experience leading problem solving</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree in Mechanical or Electrical Engineering</li><li>5+ years of management, or 5+ years of senior leadership experience</li><li>5+ years experience with data analysis tools such as SQL, Python, Dashboard, KPI Tracking</li><li>5+ years experience in complex manufacturing process of mechanical and electrical assembly process PCBs, PCBA</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, REDMOND - 151,000.00 - 204,300.00 USD annually</div>

Manufacturing Quality Manager , Amazon Leo

<div>Overview 
The Microsoft Commerce team is at the forefront of defining how AI‑native shopping comes to life, shaping how Copilot helps people discover, decide, and take action. We are pioneering the future of AI shopping by building intelligent, trusted experiences that redefine commerce and shopping across Microsoft surfaces.
As a Principal Product Manager - Commerce, you&rsquo;ll be responsible for understanding user and business needs, defining clear requirements, and driving execution across engineering, design, and partner teams. You set strategy, align stakeholders, manage delivery through launch and iteration, and ensure outcomes are measurable, high‑quality, and scalable.
In this role, you will learn how to operate lean teams that obsess over users, make high‑quality decisions grounded in evidence, and ship continuously. You&rsquo;ll develop the ability to move quickly from insight to impact, delivering real, immediate value to users. As the AI landscape evolves at an unprecedented pace, you&rsquo;ll gain hands‑on experience working at the center of that transformation, building products at the heart of how AI is reshaping the world.
Microsoft&rsquo;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. 
Responsibilities 
<ul><li>
You will influence others to drive business impact across the organization and track success criteria for multiple feature areas across divisions. You&rsquo;ll also be an expert in identifying long-term investment opportunities and engaging partners to garner support for those feature areas.</li><li>
You will translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.</li><li>
You will define a feature set and facilitate senior-level usability reviews with customers. You&rsquo;ll own the roadmap for multiple feature areas across divisions, and will collaborate with a partner team to build golden configurations and drive scenario walkthroughs.</li><li>
You will enjoy working in a fast-paced, customer-first, product development cycle.</li><li>
You will partner with others to collect performance metrics and form hypotheses for complex technical needs in order to improve product development in multiple areas. You&rsquo;ll also identify features to deprecate, manage customer communities, and build trust with targeted customers across sectors.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
Bachelor's Degree AND 8+ years experience in product/service/program management or software development<ul><li>
OR equivalent experience.</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Bachelor's Degree AND 12+ years experience in product/service/program management or software development<ul><li>
OR equivalent experience.</li></ul></li><li>
2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI</li><li>
6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).</li><li>
5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).</li><li>
Depth in experimentation and measurement (A/B testing, causal inference, learning outcomes, cohort analysis).</li><li>
Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.</li><li>
Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.</li></ul> 
#MicrosoftAI #maimonetizationproduct 
 
 
Product Management 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.</div>

Principal Product Manager - Commerce

<div>Overview 
Are you an engineer who loves pairing strong product instincts with AI, machine learning, and bringing meaningful UX interactions to life with craft and precision? This role works in a people-centric, culture-first environment alongside designers, product partners, engineers, strategists, and writers to design and build modern experiences that make intelligent systems feel clear, trustworthy, and human.
We&rsquo;re a forward-looking team passionate about building innovative technology and shipping delightful experiences&mdash;especially where AI changes what products can do. We invest in rapid prototyping, model tuning and evaluation, data experiments, and AI-related explorations to help explore the future of intelligent Microsoft products. Our team brings diverse backgrounds in multiple disciplines, from engineering, design, or research to behavioral sciences or medicine; we come in all shapes and sizes. We love pushing boundaries and helping evolve Microsoft&rsquo;s products. Our current focus is on Copilot in the M365 Enterprise world.
We're looking for a Senior UX Data Engineer who is self-driven, focused on machine learning, and cares about bringing thoughtful product design to life. You can turn ideas into interactive experiences, learn new tools quickly, and are comfortable exploring the unknown. You value strong engineering practices and know how to collaborate across design and product.
You contribute openly, prototype or experiment to learn, share feedback generously, and help raise the quality of the team&rsquo;s work. You are curious, adaptable, and motivated to build experiences that make a real impact.
If you&rsquo;re looking for a change and wanting to make an impact &ndash; we invite you to join us in our mission and vision to build the future of UX for Microsoft. 
Responsibilities 
<ul><li>
Design and run applied science and/or machine learning experiments to explore new ideas and validate hypotheses</li><li>
Conduct research on state-of-the-art technologies, methodologies, and emerging trends</li><li>
Translate concepts into working prototypes through code</li><li>
Provide thoughtful, constructive feedback and propose creative, practical solutions</li><li>
Communicate insights, decisions, and results clearly and concisely to cross-functional partners</li><li>
Contribute to publications, technical reports, and knowledge-sharing initiatives</li></ul> 

Qualifications 
<h2 class="jobSectionHeader">
Required Qualifications:</h2><ul><li>
Master's Degree in Computer Science, Software Engineering, Graphic Design, Product Design, Visual Design, Human Computer Interaction, or related field AND 3+ years experience working in product or service design and/or shipping production code
<ul><li>OR Bachelor's Degree in Computer Science, Software Engineering, Graphic Design, Product Design, Visual Design, Human Computer Interaction, or related field AND 4+ years experience working in product or service design and/or shipping production code
</li><li>OR equivalent experience.</li></ul></li></ul>
Other Requirements:<ul><li>
GitHub, CodePen, or other links showcasing coding skills OR portfolio is required with application submission.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications:</h2><ul><li>
Python coding skills and experience with ML frameworks such as PyTorch or TensorFlow</li><li>
Experience working with LLMs, including prompt design, tool and function calling, retrieval strategies (RAG), and multi-step agent orchestration</li><li>
Experience building machine learning pipelines for model quality, optimizations, evaluations, integrations, or UX outcomes (e.g., rubric-based human evals, offline test sets, experiment design, and/or A/B testing), and using results to iterate on both UX and implementation</li><li>
Ability to build and iterate on ML pipelines, integrating insights back into product and experience design</li><li>
Proficiency in data analysis and experimentation to inform product decisions</li><li>
Foundations in linear algebra, calculus, and probability and statistics</li><li>
Familiarity with MLOps and experiment tracking tools like MLflow, Kubeflow, Weights and Biases or equivalent</li><li>
Understanding of production ML requirements, with a track record of mitigating risk and downstream impact</li><li>
Experience with cloud AI and ML services</li><li>
Interest in human-computer interaction, behavioral psychology, and trust in intelligent systems</li><li>
Mastery of at least one back-end coding language</li><li>
Experience building ML-powered product experiences</li></ul> 

 
 
UX 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 
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.</div>

Senior UX Data Engineer

<div>Overview<div> 
The Windows &amp; Devices Research &amp; Design organization is seeking a Senior Research Scaling &amp; AI Infrastructure Lead to build and operationalize quality programs that elevate product excellence through systematic feedback touchpoints. This cross-functional champion role creates the programmatic infrastructure that ensures designers and program managers have structured touchpoints with customers throughout development establishing experience reviews, design feedback sessions, concept validation, and tenets and traps as quality checkpoints in the product lifecycle. You will build programs that make customer connection a predictable, scalable, and measurable driver of product quality rather than an ad hoc activity.
In this role, you will design and launch quality programs that fundamentally change how product teams validate their work with customers. These programs will provide systematic frameworks for gathering customer feedback at critical moments including before designs ship, during experience reviews, and throughout iterative development. You will leverage AI agents and self-service infrastructure to scale these quality programs across hundreds of product makers, ensuring consistent quality reviews becomes embedded in how teams work.
You will partner closely with UX researchers, product managers, designers, and engineering leaders to co-create and champion quality programs that teams adopt and value. This role requires both program strategy and operational excellence. You'll define what quality checkpoints should exist, build the systems that enable them, and measure their impact on product outcomes. You'll work in a fast-paced environment where your programs directly influence the quality of experiences reaching millions of Windows users, and where you can see the tangible results of programmatic quality engagement.
The ideal candidate is passionate about building programs that drive measurable quality improvements. You have successfully launched and scaled customer feedback programs, quality frameworks, or operational systems that changed how organizations work. You are energized by creating structure and repeatability by turning one-off activities into sustainable programs. You understand how to use AI and automation to make programs scale.
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.</div> 
Responsibilities 
<div><ul><li>
Design and operationalize quality programs including experience reviews, design feedback sessions, concept validation, and tenets and traps frameworks.</li><li>
Build scalable quality frameworks and standards that ensure product makers gather feedback on quality at critical moments, creating predictable touchpoints that surface quality issues early.</li><li>
Leverage AI agents, agentic systems, and self-service infrastructure to scale quality programs across hundreds of product makers.</li><li>
Establish measurement frameworks that track program adoption, quality outcomes, and the impact of customer feedback on product decisions, demonstrating how programmatic customer connections improve shipped experiences.</li><li>
Partner with UX researchers, product managers, designers, and engineering leaders to co-create quality programs that teams value and adopt, ensuring programs fit naturally into existing workflows while raising quality standards.</li><li>
Champion and drive adoption of quality programs through training, best practices, showcase examples, and ongoing support that helps product makers build quality practices into their standard operating rhythms.</li><li>
Continuously evolve quality programs based on product team feedback, emerging AI capabilities, and quality metrics, innovating on how the programs drive measurable improvements in product excellence.</li></ul></div> 

Qualifications 
Required Qualifications:<div><ul><li>
Doctorate in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 1+ year(s) User Experience Research experience<ul><li>
OR Master's Degree in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 3+ years User Experience Research experience</li><li>
OR Bachelor's Degree in Human-Computer Interaction, Human Factors Engineering, Computer Science, Technical Communications, Information Science, Information Architecture, User Experience Design, Behavioral Science, Social Sciences, or related field AND 4+ years User Experience Research experience</li><li>
OR equivalent experience.</li></ul></li></ul>
Preferred Qualifications:<div><ul><li>
Master's Degree in Human-Computer Interaction, Operations Management, Organizational Psychology, Business Administration, or related field</li><li>
Direct experience designing and scaling programs for experience reviews, design feedback sessions, concept testing, tenets and traps, or similar customer connection frameworks in product development environments</li><li>
Track record of measuring and demonstrating program impact on product quality metrics, user satisfaction scores, or business outcomes, with compelling examples of quality improvements driven by systematic customer feedback</li><li>
Experience implementing agentic AI systems, large language models (LLMs), or autonomous agents to scale knowledge work, combined with deep understanding of research operations or customer feedback methodologies</li></ul>
#W+D</div></div> 
 
 
UX Research 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 
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.</div>

Senior Research Scaling & AI Infrastructure Lead

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