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Storefront Manager Jobs in Washington, DC (NOW HIRING)

... e.g., StoreFront, Citrix Gateway) as required. * Troubleshoot and resolve user connectivity ... Manage security and access, including Active Directory integration, user/group access controls, and ...

Senior VDI Administrator

Washington, DC · On-site

$97K - $131K/yr

... StoreFront • Experience managing Microsoft M365 Azure Virtual Desktops (AVD) • Experience with patch and upgrade methodology for front-end and back-end systems based on Citrix technology • ...

Account Manager Trainee

Beltsville, MD · On-site

$51K - $53K/yr

In this role, you'll manage and operate a Hilti Store to maximize walk-in sales and support smaller ... Maintain a clean and organized work area and storefront; keep assigned equipment in good order.

In addition to an online store, Rexel USA has a distribution network of over 460 warehouse storefront locations throughout the U.S. We are looking for a Branch Manager to join our Rexel, USA team in ...

In addition to an online store, Rexel USA has a distribution network of over 460 warehouse storefront locations throughout the U.S. We are looking for a Branch Manager to join our Rexel, USA team in ...

In addition to an online store, Rexel USA has a distribution network of over 460 warehouse storefront locations throughout the U.S. We are looking for a Branch Manager to join our Rexel, USA team in ...

In addition to an online store, Rexel USA has a distribution network of over 460 warehouse storefront locations throughout the U.S. We are looking for a Branch Manager to join our Rexel, USA team in ...

Showing results 21-40

Storefront Manager information

See Washington, DC salary details

$29.4K

$61.3K

$100.8K

How much do storefront manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for storefront manager in Washington, DC is $61,273.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $73,100.00 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.

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 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 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.

What are popular job titles related to Storefront Manager jobs in Washington, DC?

For Storefront Manager jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Storefront Manager jobs in Washington, DC look for?

The top searched job categories for Storefront Manager jobs in Washington, DC are:

Infographic showing various Storefront Manager job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $61,273 per year, or $29.5 per hour.

AI Solutions Engineer with Security Clearance

Innodata Inc.

Washington, DC • On-site

$75 - $80/hr

Contractor

Posted 12 days ago


Innodata rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

162nd of 244 rated software companies


Job description

About the Program:  Innodata's Federal Practice builds the trusted data layer for critical infrastructure Trust & Safety work. Partnering with a leading systems integrator, we're delivering a modern, governed data services platform in a secure federal (IL4) environment. Over an intensive 20-week phase, you'll help stand up a data services storefront, a DataCard governance framework, synthetic data integration, and Databricks write-back capabilities. About the Role:  As the AI Solutions Engineer, you'll bring the platform's AI capabilities to life. You'll integrate synthetic data generation into the pipeline, stand up and tune the annotation toolchain, and orchestrate reproducible ML workflows that the rest of the team can build on. You'll partner with the Solution Architect and Data/Annotation Engineer to turn raw corpora into high-quality, model-ready data. This role suits an engineer who's fluent across modern AI tooling and enjoys making sophisticated ML infrastructure actually work in production. Key Responsibilities: Configure and validate native AI-assistive features across bundled platform components (Dataset Explorer, DataCard Service, Annotation Platform)
Integrate and tune SAM 2 for full-motion video annotation: object tracking, segmentation calibration, confidence threshold configuration
Implement Frontier model API integration for synthetic data fidelity validation: prompt engineering, response validation, quality scoring
Configure AI-assisted annotation features: confidence scoring, auto-escalation triggers, model-assisted label suggestion
Implement ICAM / OIDC authentication integration with AFS identity framework
Configure data-layer DLP policies above the AFS-managed DLP infrastructure substrate
Configure NiFi FMV codec validation layer (H.264, H.265, MPEG-4) above AFS-managed substrate
Validate AI feature integration end-to-end across storefront, annotation platform, and DataCard write-back during Phase C Must-Have Qualifications: Bachelor's degree in Computer Science, Machine Learning, Data Science, or related field required; Master's degree preferred. Equivalent experience may substitute for degree on a 2-for-1 basis.
6+ years total professional experience, 4+ years hands-on AI/ML engineering
SAM 2 or equivalent foundation model integration for computer vision or video annotation
Frontier model API integration (OpenAI, Anthropic, or equivalent): async job management, quality validation pipelines
Python — strong, production-grade; comfortable with ML tooling and data pipeline development
Experience configuring AI-assistive features in annotation platforms or ML data tooling
Active Secret clearance with TS/SCI eligibility Nice-to-Have Qualifications: CVAT annotation platform — AI feature configuration and operation
DoD or IC data program experience: CUI, distribution statements, federal data governance
Evaluation design for AI/ML training data: IAA methodology, drift detection, model performance measurement
Video understanding or FMV annotation experience
DataCard or ML data provenance framework familiarity The expected hourly salary range for this position is $75 to $80 p/hour, based on experience, skills, and qualifications. Note to Candidates:  This role does not own infrastructure deployment. The AI Solutions Engineer operates at the AI/ML configuration and integration layer above the infrastructure. The ideal candidate is equally comfortable writing Python integration code and reasoning about model quality — and understands that in a federal data environment, every AI decision needs an audit trail.

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Hours and flexibility

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