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What is it like to work at Ulta Beauty?

Ulta Beauty is a dynamic and customer-centric company that prioritizes a culture of inclusivity, diversity, and empowerment, fostering a collaborative environment where employees can grow and thrive.

The company's team structure is designed to promote a seamless shopping experience for customers, with a mix of sales associates, stylists, and management working together to provide personalized service and expert advice. Ulta Beauty's stores are designed to be visually appealing and welcoming, with a wide range of products and services available to customers.

Working at Ulta Beauty may appeal to individuals who are passionate about beauty, fashion, and customer service, as the company offers opportunities for professional development, competitive compensation, and a comprehensive benefits package, making it an attractive option for those seeking a rewarding career in the beauty industry.

What makes Ulta Beauty an attractive place to work?

Ulta Beauty is a leading beauty retailer in the United States, known for its strong brand portfolio and commitment to innovation in the beauty industry. The company offers a dynamic work environment that values collaboration, creativity, and employee growth, with opportunities for professional development through training programs and career advancement. As a result, Ulta Beauty is an attractive place to work for individuals seeking a challenging and rewarding career in the beauty industry, with opportunities to make a meaningful impact and contribute to the company's continued success.

Do workers at Ulta Beauty get paid breaks?

Sometimes. Only some people get paid breaks.
38% of people say they don’t get paid breaks.
Based on data from 65 people who took the Breakroom Quiz between March 2026 and September 2026.

Does Ulta Beauty pay people when they’re sick?

No. Most people don’t get paid when they’re sick.
69% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 62 people who took the Breakroom Quiz between March 2026 and September 2026.

At Ulta Beauty, are sick days and vacation days separate paid time off?

Only some people have separate paid time off for sick days and vacation.
42% of people say they have to use vacation days when they’re out sick.
Based on data from 102 people who took the Breakroom Quiz between September 2025 and September 2026.

Are part-time workers able to get health insurance from Ulta Beauty?

Most people who work part-time can't get health insurance.
76% of people who work fewer than 30 hours a week say they can’t get health insurance
Based on data from 156 people who took the Breakroom Quiz between December 2024 and March 2025.

Do part-time workers get paid time off at Ulta Beauty?

Most people who work part-time don’t get paid time off.
88% of people who work part-time say they don’t get paid time off
Based on data from 133 people who took the Breakroom Quiz between September 2025 and September 2026.

Is the health insurance from Ulta Beauty affordable enough for their workers?

Most people say the health insurance costs are okay.
85% of people say the health insurance costs are okay
Based on data from 87 people who took the Breakroom Quiz between September 2025 and September 2026.

Do people get paid time off at Ulta Beauty?

Some people get paid time off from work.
55% of people say they don’t get paid time off.
Based on data from 69 people who took the Breakroom Quiz between March 2026 and September 2026.

How far ahead of time do people find out their work schedule?

Most people find out their schedule less than four weeks ahead of time.
  • 11% of people with changing schedules find out their shifts one week or less ahead of time.
  • 40% of people with changing schedules find out their shifts two weeks ahead of time.
  • 40% of people with changing schedules find out their shifts three weeks ahead of time.
  • 8% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 201 people who took the Breakroom Quiz between September 2025 and September 2026.

Do workers at Ulta Beauty worry about hours?

Some people worry about getting enough hours.
59% of people report they worry about getting enough hours.
Based on data from 203 people who took the Breakroom Quiz between September 2025 and September 2026.

Do Ulta Beauty workers get to choose the shifts they work?

Some people don’t get to choose which shifts they work.
47% report that they don’t have enough control over which shifts they work.
Based on data from 197 people who took the Breakroom Quiz between September 2025 and September 2026.

How easy is it for Ulta Beauty workers to change shifts?

Some people find it hard to change shifts.
53% of people report that it’s hard to change shifts if they need to.
Based on data from 152 people who took the Breakroom Quiz between September 2025 and September 2026.

How easy is it to get time off at Ulta Beauty?

Most people find it easy to get time off.
67% of people report it’s easy to get time off.
Based on data from 188 people who took the Breakroom Quiz between September 2025 and September 2026.

Do Ulta Beauty managers change schedules at the last minute?

Some managers change people’s schedules at the last minute.
38% of people say their manager changes their shift schedule at the last minute.
Based on data from 183 people who took the Breakroom Quiz between September 2025 and September 2026.

Do jobs at Ulta Beauty spill into time workers aren’t paid for?

Rarely. The job doesn't usually spill into unpaid time.
12% of people report that their job takes up time that they don’t get paid for.
Based on data from 184 people who took the Breakroom Quiz between September 2025 and September 2026.

How easy is it to take sick days at Ulta Beauty?

Some people find it hard to take sick days.
36% of people report that it’s hard to take time off if they are sick.
Based on data from 216 people who took the Breakroom Quiz between September 2025 and September 2026.

Is a Ulta Beauty job good for students?

Most students say this is a good place to work if you’re studying.
85% of students report this is a good place to work if you’re studying.
Based on data from 67 people who took the Breakroom Quiz between August 2025 and August 2026.

Is working at Ulta Beauty good if you’re a parent or caregiver?

Only some parents and caregivers say this is a good place to work.
40% of people who care for a child or other relative report this isn’t a good place to work.
Based on data from 50 people who took the Breakroom Quiz between May 2025 and May 2026.

Do people at Ulta Beauty feel treated with respect by their managers?

Most people feel treated with respect by their managers.
76% of people say they’re treated with respect by their managers.
Based on data from 221 people who took the Breakroom Quiz between September 2025 and September 2026.

Do people at Ulta Beauty get to take their breaks without interruption?

Most people get breaks without interruption.
91% of people report that they get to take their breaks without interruption.
Based on data from 67 people who took the Breakroom Quiz between March 2026 and September 2026.

Is it stressful to work at Ulta Beauty?

Some people feel stressed here.
63% of people say they often feel stressed at work.
Based on data from 62 people who took the Breakroom Quiz between March 2026 and September 2026.

Do people at Ulta Beauty enjoy their jobs?

Most people enjoy their job.
80% of people report they enjoy their job.
Based on data from 213 people who took the Breakroom Quiz between September 2025 and September 2026.

Do people at Ulta Beauty recommend working with their team?

Only some people recommend working with their team.
38% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 72 people who took the Breakroom Quiz between March 2026 and September 2026.

Do people get enough training when they start at Ulta Beauty?

Some people didn’t get enough training when they started.
39% of people report they didn’t get enough training when they started working here.
Based on data from 62 people who took the Breakroom Quiz between March 2026 and September 2026.

Do people get support to advance at Ulta Beauty?

Only some people are given support to advance their career here.
In the last year, 40% of people report not being given support to advance their career here.
Based on data from 216 people who took the Breakroom Quiz between September 2025 and September 2026.

Do people think Ulta Beauty’s headquarters understands what’s happening where they work?

Most people think headquarters doesn’t understand what’s happening where they work.
75% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 60 people who took the Breakroom Quiz between March 2026 and September 2026.

Do workers feel well informed about how Ulta Beauty is doing?

Only some people feel well informed about how the company is doing.
41% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 70 people who took the Breakroom Quiz between March 2026 and September 2026.

What are the most popular job types at Ulta Beauty?

    What are the most popular jobs at Ulta Beauty?

    What are the most popular categories at Ulta Beauty?

    Infographic showing various Software job openings at Ulta Beauty in the United States as of September 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Temporary. Highlights an 100% Physical job distribution.

    Sr Manager, AI Platform Architecture

    Bolingbrook, IL • On-site, Remote

    Ulta Beauty, Inc.
    Retail • 10K+ employees
    Learn more about Ulta Beauty, Inc.external

    $128K - $174K/yr

    Full-time

    Medical, Dental, Vision, Life, PTO

    Re-posted 11 days ago

    Ulta Beauty rating

    6.1

    Company rating: 6.1 out of 10

    Based on 1,017 frontline employees who took The Breakroom Quiz

    12th of 24 rated health and beauty retailers

    Job description


    OVERVIEW

    Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability—and is recognized that way. We’ve been defined as a “mature start-up.” A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are.

    We’re engineering for the future of retail, and it’s no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you’ll find that virtually nothing’s impossible at Ulta Beauty.

    THE IMPACT YOU CAN HAVE:

    The Senior Manager, AI Platform Architecture is a hands-on leader responsible for the architecture and evolution of our core AI platforms.  In this role, you will manage a team of skilled engineers and architects, collaborate with cross-functional stakeholders, and help set the strategic direction of platform architecture to ensure scalability, performance, and reliability across our systems.  Your expertise in platform architecture, cloud technologies, automation, and AIML Ops practices will be critical in driving our strategy and ensuring the reliability and efficiency of our systems.


    YOU'LL ACCOMPLISH THESE GOALS BY:
     Strategic Platform Leadership

    • Translate enterprise AI strategy defined by the AI Architect Principal, Enterprise Architecture, Enterprise AI Tech Leaders (AI Engineering, DS/ML Engineering, AI Emerging Tech), AI Product Teams into actionable platform roadmaps and technical priorities.
    • Partner with data, cloud, security, and infrastructure teams to define the end-to-end AI architecture framework, including compute, model lifecycle, and deployment strategies.
    • Evaluate emerging technologies and recommend platform enhancements to improve model performance, scalability, and sustainability.
    • Define and deliver AI/ML/Agentic operations strategy – including tool suite, standards, and technology/capability roadmap.
    • Establish POV on key evaluations – including, but not limited to “buy v. build”, platform assessments, tool comparisons, cost/performance optimizations
    • Drive the technical strategy for the platform, balancing short-term needs with long-term scalability and reliability.
    • Design, implement, and scale cloud-based infrastructures (GCP and Databricks) to support internal and external applications.
    • Oversee platform architecture decisions, ensuring that the platform is robust, efficient, and capable of supporting growing business needs.

    Architecture Design and Governance

    • Lead the design of core AIML platform components—data pipelines, model training and inference engines, orchestration workflows, and monitoring frameworks.
    • Design for continuous training pipelines and promote automation capabilities where possible
    • Establish architectural best practices, patterns, and standards for AI/ML development and deployment.
    • Oversee design reviews and ensure compliance with enterprise architecture and regulatory requirements. 
    • Design and build platform to meet AI Governance requirements (including application of controls and measurement of controls).  Ensure observability requirements can be met.

     Cross-Functional Collaboration

    • Work closely with product, data science, engineering, and security teams to operationalize AI/ML capabilities across the enterprise.
    • Partner with the AI Architect Principal and AI Solution Architects to align agentic platform evolution with organizational priorities and technology roadmaps.
    • Collaborate with security and operations teams to ensure the platform is secure, compliant, and maintains high uptime and reliability.
    • Engage with leadership to align technical initiatives with organizational objectives.

    Team Leadership and Talent Development

    • Manage and mentor a team of AI engineers, AI architects, and AI Ops engineers.
    • Foster a high-performance culture emphasizing innovation, collaboration, and agile delivery.
    • Support career development, technical upskilling, and diversity in AI technology roles, specifically those aligned into the Architecture space.  Mentor and guide junior team members. 
    • Conduct regular performance reviews, provide career development guidance, and support team members’ growth and skill development.
    • Own hiring, onboarding, and team-building activities to ensure the team has the right talent and skills.
    • Provide hands-on technical leadership, leading by example in designing and building robust, scalable systems.
    • Drive high standards of code quality, testing, and engineering practices.
    • Advocate for platform engineering best practices, ensuring systems are maintainable, extensible, and documented.

    Operational Excellence

    • Oversee platform scalability, reliability, and cost optimization across cloud and on-prem environments.
    • Implement observability and monitoring tools to proactively identify performance or security issues.
    • Ensure platform compliance with responsible AI, data privacy, and ethical ML principles.
    • Build and develop architecture audit process, and execute
    • Identify opportunities for automation, process improvements, and tooling that enhance platform reliability and efficiency.
    • Stay current with emerging technologies and industry best practices and incorporate relevant trends into the platform strategy.
    • Lead incident response and post-mortem reviews to continuously improve platform resilience.

    Platform Performance & Reliability:

    • Define, implement, and monitor key platform performance metrics, including system uptime, latency, and resource utilization.
    • Ensure the platform is scalable and cost-efficient, optimizing for performance and operational cost management.
    • Lead efforts to identify, troubleshoot, and resolve platform performance issues or outages.

    ESSENTIALS FOR SUCCESS:

    • Bachelor’s degree in computer science, a related field, or applicable work experience.
    • 10+ years of experience in software development or architecture; minimum of 3+ years in a leadership role
    • Deep knowledge of AI/ML ecosystems
    • Experience designing MLOps pipelines and AI Ops frameworks at enterprise scale
    • Strong understanding of cloud-native architecture (AWS, Azure, Databricks or GCP), MLOps frameworks, and CI/CD principles
    • Experience with multi-agent architecture concepts: orchestration patterns, tool/skill registry, memory and state management, and agent observability
    • Experience setting technical standards and coordinating across distributed engineering teams
    • Proven ability to lead cross-functional engineering teams and deliver enterprise-scale AI solutions.
    • Comfortable navigating new, novel technology solutions and managing ambiguity to deliver in evolving domains
    • Familiarity with security and compliance standards for platform operations.
    • Strong analytical and problem-solving skills with a data-driven mindset. 
    • Excellent communication, project management, and stakeholder engagement skills.
    • Comfortable with presenting up to senior leadership (VP+ level); able to present technical concepts to non-technical and executive levels

    #LI-JK1 


    The pay range for this position is $143,000.00 - $190,000.00 / Year with the opportunity for eligible associates to earn additional compensation pursuant to the Company's bonus plan. Exact pay will be based on factors including, but not limited to relevant education, qualifications, certifications, experience, level, shift, geographic location, and business and organizational needs. Full-time positions are eligible for paid time off, health, dental, vision, life and disability benefits. Part-time positions are eligible for dental, vision, life, and disability benefits. For additional information concerning our benefits, visit our Benefits and Career Development page: https://learn.bswift.com/ulta

    ABOUT

    At Ulta Beauty (NASDAQ: ULTA), the possibilities are beautiful. Ulta Beauty is the largest North American beauty retailer and the premier beauty destination for cosmetics, fragrance, skin care products, hair care products and salon services. We bring possibilities to life through the power of beauty each and every day in our stores and online with more than 25,000 products from approximately 500 well-established and emerging beauty brands across all categories and price points, including Ulta Beauty’s own private label. Ulta Beauty also offers a full-service salon in every store featuring—hair, skin, brow, and make-up services.

    We will consider for employment all qualified applicants, including those with arrest records, conviction records, or other criminal histories, in a manner consistent with the requirements of any applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act.

    Qualifications:

    ESSENTIALS FOR SUCCESS:

    • Bachelor’s degree in computer science, a related field, or applicable work experience.
    • 10+ years of experience in software development or architecture; minimum of 3+ years in a leadership role
    • Deep knowledge of AI/ML ecosystems
    • Experience designing MLOps pipelines and AI Ops frameworks at enterprise scale
    • Strong understanding of cloud-native architecture (AWS, Azure, Databricks or GCP), MLOps frameworks, and CI/CD principles
    • Experience with multi-agent architecture concepts: orchestration patterns, tool/skill registry, memory and state management, and agent observability
    • Experience setting technical standards and coordinating across distributed engineering teams
    • Proven ability to lead cross-functional engineering teams and deliver enterprise-scale AI solutions.
    • Comfortable navigating new, novel technology solutions and managing ambiguity to deliver in evolving domains
    • Familiarity with security and compliance standards for platform operations.
    • Strong analytical and problem-solving skills with a data-driven mindset. 
    • Excellent communication, project management, and stakeholder engagement skills.
    • Comfortable with presenting up to senior leadership (VP+ level); able to present technical concepts to non-technical and executive levels

    #LI-JK1 

    Education:UNAVAILABLEEmployment Type: FULL_TIME

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