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Storefront Manager Jobs (NOW HIRING)

THE ROLE Data Scientist 2 / 3, Storefront We are seeking a highly analytical and technical Data ... You will report to our VP of Engineering and collaborate closely with engineering managers ...

This role is a strong fit for an experienced glazing professional who can manage multiple projects, coordinate with general contractors and field teams, and keep storefront, curtain wall, entrance ...

Ecommerce Manager

El Segundo, CA · On-site

$80K - $100K/yr

We are looking for an experienced Ecommerce Manager to lead day-to-day execution for our Shopify storefront in Los Angeles, California. This role is ideal for someone who combines strong platform ...

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Storefront Manager information

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$26K

$54.1K

$89K

How much do storefront manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for storefront manager in the United States is $54,099.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $64,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Storefront Manager, and why are they important?

To thrive as a Storefront Manager, you need experience in retail operations, inventory management, and staff supervision, often supported by a degree in business or related field. Familiarity with point-of-sale (POS) systems, inventory tracking software, and scheduling tools is typically required. Exceptional customer service, leadership, and problem-solving skills help you stand out in this role. These abilities are crucial for ensuring smooth daily operations, maximizing sales, and maintaining a positive store environment.

How much do you get paid as a store manager?

Storefront managers typically earn a median annual salary of around $50,000 to $70,000, depending on location, experience, and the size of the store. Compensation may also include bonuses, benefits, and opportunities for advancement.

What does a Storefront Manager do?

A Storefront Manager oversees the daily operations of a retail store or online storefront. Their responsibilities typically include managing staff, ensuring excellent customer service, maintaining inventory, and implementing sales strategies to meet business goals. They are also responsible for merchandising, handling customer complaints, and ensuring that the store environment is clean and inviting. Storefront Managers play a crucial role in driving sales and ensuring smooth operations within the store.

What is the highest paid store manager?

The highest paid store managers typically earn over $100,000 annually, especially in large retail chains or luxury brands. Compensation varies based on location, experience, store size, and company performance, with some earning bonuses and profit-sharing incentives.

What does a front store manager do?

A storefront manager oversees daily store operations, including supervising staff, managing inventory, ensuring customer satisfaction, and maintaining sales goals. They often handle employee scheduling, training, and may use point-of-sale systems to track transactions and performance.

What is the difference between Storefront Manager vs Sales Associate?

AspectStorefront ManagerSales Associate
Required CredentialsHigh school diploma; experience in retail managementHigh school diploma or equivalent; sales experience preferred
Work EnvironmentOversees store operations, manages staff, handles customer issuesAssists customers, processes transactions, stocks shelves
Employer & Industry UsageRetail stores, shopping centers

The Storefront Manager focuses on managing store operations, staff, and customer service, requiring leadership skills and retail experience. In contrast, the Sales Associate primarily assists customers and handles sales transactions. Both roles are essential in retail, but the Storefront Manager has broader responsibilities and oversight.

What is a storefront manager?

A storefront manager oversees the daily operations of a retail store, including staff management, customer service, inventory control, and sales performance. They often coordinate with other departments, ensure store policies are followed, and may use point-of-sale systems to track transactions.

What are some common challenges faced by Storefront Managers and how can they be addressed?

Storefront Managers often face challenges such as balancing customer satisfaction with operational efficiency, managing diverse teams, and responding to unexpected issues like inventory shortages or staff absences. Staying organized, fostering open communication with team members, and implementing effective problem-solving strategies are essential to overcoming these hurdles. Additionally, leveraging technology for inventory management and scheduling can streamline daily operations and help maintain a positive in-store environment.
More about Storefront Manager jobs
What cities are hiring for Storefront Manager jobs? Cities with the most Storefront Manager job openings:
What states have the most Storefront Manager jobs? States with the most job openings for Storefront Manager jobs include:
What job categories do people searching Storefront Manager jobs look for? The top searched job categories for Storefront Manager jobs are:
Infographic showing various Storefront Manager job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $54,099 per year, or $26 per hour.
Data Scientist 2/3, Storefront

Data Scientist 2/3, Storefront

Quince

Palo Alto, CA • On-site

Full-time

Posted 13 days ago


Job description

ABOUT QUINCE
Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.
Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions:
  • Customer First: We prioritize customer satisfaction in every decision.
  • High Quality: True quality means premium materials and rigorous production standards you can feel good about.
  • Essential Design: We focus on timeless, functional essentials instead of chasing trends.
  • Always a Better Deal: Innovation and transparency ensure value for both customers and partners.
  • Social & Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages.

Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency.
OUR TEAM AND SUCCESS
At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience - one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence.
If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.
THE ROLE
Data Scientist 2 / 3, Storefront
We are seeking a highly analytical and technical Data Scientist to join our Storefront team. In this role, you will own end-to-end modeling work across high-priority surfaces - spanning Recommendations and Personalization, Search, and AI-powered Shopping Experiences - and your contributions will have direct, measurable impact on conversion, discovery, and user satisfaction at scale. You will report to our VP of Engineering and collaborate closely with engineering managers, software engineers, and product managers to move our capabilities from traditional models into near real-time, personalized, and Generative AI-driven experiences.
Responsibilities
  • Real-Time Personalization: Go beyond static product recommendations to develop and refine machine learning models that deliver near real-time personalization across our app and site surfaces, leveraging contextual signals to customize text and details for varied buyer intents (e.g., price-sensitive vs. quality/sustainability-first buyers).
  • In-House Search Platform: Assist in building our natural language search engine from 0 to 1, utilizing Large Language Models (LLMs like Claude and GPT) for query understanding, semantic search, and advanced language retrieval.
  • App Engagement: Design and implement algorithms for interactive app experiences to drive daily customer engagement.
  • End-to-End Pipeline Ownership: Create new relevance ranking features, build automated end-to-end modeling pipelines in Python and SQL, deploy ML models into production, and run rigorous live experiments.
  • Data Infrastructure & Tooling: Identify data gaps, write clear data product specifications, and partner with Engineering to establish robust real-time tracking and performance monitoring frameworks.
  • Cross-Functional Partnership: Act as a technical partner to product and business squads, translating business targets into actionable data science solutions and presenting complex analytical outcomes to leadership.

Qualifications
Required:
  • 5+ years of industry experience as a data scientist, with a strong preference for consumer-facing products or e-commerce applications operating at high scale.
  • MS or PhD in statistics, mathematics, engineering, computer science, or a highly quantitative field.
  • Exceptional proficiency in Python and SQL, alongside deep production knowledge of standard data science and machine learning libraries.
  • Hands-on experience developing and deploying production-grade Recommender Systems, Relevance Ranking, or Personalization pipelines.
  • Proven experience working with Generative AI or LLM application workflows for tasks like text parsing or context-driven query understanding.
  • Strong model productionalization skills with a customer-first mindset, allowing you to elegantly balance statistical accuracy against latency and engineering constraints in real-time environments.

Preferred:
  • Experience replacing or augmenting traditional NLP systems with LLMs for complex text parsing and language understanding.
  • Familiarity with Business Intelligence tools (e.g., Looker, Tableau) to build internal dashboards for model tracking and metrics visibility.
  • Experience building data product specifications alongside distributed engineering teams to streamline model evaluation

All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles.
Pay Range
$171,000-$242,000 USD
WHY QUINCE?
Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.
EQUAL OPPORTUNITY & HIRING INTEGRITY
Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.
Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.
Security Advisory: Beware of Frauds
At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom-never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.