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Faire Jobs (NOW HIRING)

Faire

Data Science Intern

San Francisco, CA

$75/hr

Data Science Internship - Fall 2026 Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e ...

Faire

Strategy & Analytics Lead

New York, NY · On-site

$164K - $225K/yr

At Faire, you'll have the chance to lead mission-critical projects end to end. You'll be partnering cross functionally with Product, Sales, Operations, Marketing, and Finance teams to inform the ...

Faire

Marketing Analytics Lead

New York, NY · On-site

$164K - $225K/yr

About this role Marketing Analytics spans the full early retailer journey at Faire - from paid marketing and channel strategy at the top of the funnel, through in-product activation, to long-term ...

Faire

Strategy & Analytics Senior Lead

New York, NY · On-site

$197K - $271K/yr

At Faire, you'll have the chance to lead mission-critical projects end to end. You'll be partnering cross functionally with Product, Sales, Operations, Marketing, and Finance teams to inform the ...

Faire

Director of Data, Ads

San Francisco, CA · On-site

$276K - $379K/yr

About this Role Ads is one of the fastest-growing and most strategically important parts of Faire's business, and the Ads Data team - now three years old - is entering a period of hypergrowth. As ...

Faire

Staff Product Manager, Pricing

New York, NY · On-site

$220K - $302K/yr

Deeply understand both our brand and retailer customers so that you can build the strategies and frameworks that define how Faire thinks about pricing across the marketplace - balancing brand ...

Faire

Senior Analytics Engineer - GTM

San Francisco, CA · On-site

$196K - $269K/yr

About the role Are you passionate about using data and AI to shape the future of Faire's Go-to-Market (GTM) strategy, sales, and operations? If so, we want to talk to you! We're looking for a ...

Great Clips

Hair Stylist - Arbor Faire

Fresno, CA

Join a locally owned Great Clips ® salon, the world's largest salon brand, and be one of the GREATS! Whether you're new to the industry or have years behind the chair...great opportunities await!

Claire's

Sales Associate - Vintage Faire Mall

Modesto, CA · On-site

$16.90 - $17.40/hr

Description Sales Associate Opportunity Join the team. Drive Sales. Be the Most You! At Claire's, we're all about self-expression, creativity, and bringing the latest trends to life for our customers.

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How much do faire jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for faire in the United States is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $19.47 per hour, depending on experience, location, and employer.

What are some common challenges faced by employees working at Faire in a fast-growing startup environment?

Employees at Faire often navigate the challenges of rapid growth, which can include adapting quickly to evolving business priorities, handling a dynamic workload, and collaborating across distributed teams. The pace can be fast, and processes may change frequently as the company scales. However, this environment also offers the opportunity to take ownership of impactful projects, develop new skills, and contribute to shaping company culture. Clear communication and flexibility are key to thriving at Faire.

What are Faire jobs?

Faire is a wholesale marketplace that connects independent retailers with brands and makers from around the world. Jobs at Faire typically involve roles in sales, engineering, product management, customer support, marketing, and operations. Employees work to build and maintain the platform, support business growth, and help retailers and brands succeed. Faire is known for its innovative approach to retail and its strong focus on technology and customer service.

What are the key skills and qualifications needed to thrive as a Faire Sales Representative, and why are they important?

To thrive as a Faire Sales Representative, you need a solid foundation in sales techniques, customer relationship management, and product knowledge, typically supported by relevant sales experience or a business-related degree. Familiarity with CRM platforms like Salesforce, data analysis tools, and e-commerce systems is often required. Outstanding communication, active listening, and resilience are crucial soft skills that help build strong client relationships and adapt to a fast-changing industry. These competencies ensure representatives can effectively identify customer needs, drive sales growth, and contribute to Faire’s overall success.

How to make 80000 a year working from home?

Faire is a wholesale platform that offers opportunities for sales representatives and account managers to earn substantial income remotely by building client relationships and managing accounts. Achieving an $80,000 annual income typically involves developing strong sales skills, experience in B2B sales, and leveraging digital communication tools. Success depends on consistent performance, networking, and understanding market needs.

Is Faire a good company to work for?

Faire is a wholesale marketplace platform that offers roles in sales, customer support, and operations. Employees generally report a collaborative environment and opportunities for growth, with some positions requiring familiarity with e-commerce tools and industry knowledge. As with any company, experiences can vary based on role and location.

What is the difference between Faire vs Wholesale Buyer?

AspectFaireWholesale Buyer
CredentialsBusiness license, tax ID, sometimes industry-specific certificationsBusiness license, tax ID, industry certifications
Work EnvironmentOnline platform connecting makers and retailersRetail stores, showrooms, or online
Industry UsageUsed by makers, artisans, and small brands to sell wholesaleUsed by retailers to purchase inventory from suppliers
Search & Comparison IntentLooking for wholesale marketplace platformsSearching for wholesale purchasing options or platforms

Faire is a wholesale marketplace platform that connects makers with retailers, focusing on simplifying the wholesale buying process. Wholesale Buyers are the retail professionals who purchase products through platforms like Faire or directly from suppliers. While Faire provides the platform, Wholesale Buyers are the users who leverage it to source products for their stores.

Is Faire a legitimate company?

Faire is a legitimate wholesale marketplace that connects independent retailers with makers and brands. It is a well-established platform used by many small businesses and offers roles in customer service, sales, and operations. Job seekers should research specific positions and review company policies before applying.

What kind of company is Faire?

Faire is a wholesale marketplace platform that connects independent retailers with makers and brands. It offers tools for order management, inventory, and payments, primarily serving retail businesses seeking unique products. The company emphasizes a digital-first approach to streamline wholesale purchasing processes.
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Faire jobs near you
Infographic showing various Faire job openings in the United States as of July 2026, with employment types broken down into 83% Full Time, 12% Part Time, 4% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $35,252 per year, or $16.9 per hour.
Data Science Intern

Data Science Intern

Faire

San Francisco, CA

$75/hr

Other

Posted 8 days ago

Job description

Data Science Internship - Fall 2026

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Team

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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