Seasonal Meta Sales Rep

2020 Companies • Clovis, CA

2d • Onsite

About The Position

2020 Companies is hiring seasonal Meta Sales Specialists to work in a local big-box retailer, demonstrating and promoting Meta products to consumers. The role focuses on creating excitement around the brand, building relationships with retail associates, delivering engaging customer experiences, and training store teams on AI apps, tools, and product features. Product and technology training is provided.

The position is based at Walmart 5337 in Clovis, California. The stated schedule is 12 hours per week, Saturday and Sunday, from noon to 6:00 p.m., with additional shifts in November and December for key shopping days. Required holiday availability includes the day before Thanksgiving and two designated weekdays before Christmas. The role runs from November 7, 2026, through January 24, 2027. Pay is listed as an unspecified hourly rate plus a seasonal completion bonus, subject to attendance requirements, employee standing, and KPI achievement.

2020 Companies describes benefits and opportunities including weekly base pay with on-demand DailyPay cashouts, paid remote product and technology training, potential career pathways, experience in consumer AI and spatial computing, and sales contests with possible product, promotional-item, or gift-card incentives.

Requirements

• High school diploma or equivalent.
• Comfort engaging with customers, demonstrating products, and confidently asking for the sale.
• Customer-first experience mindset.
• Strong communication, presentation, interpersonal, and problem-solving skills.
• Ability to thrive in a fast-paced, team-oriented environment.
• Availability to work weekends and a minimum of three one-time weekday shifts.
• Availability for required holiday shifts, including the day before Thanksgiving and two designated weekdays leading up to Christmas.
• Smartphone equivalent to an iPhone 11 or Samsung S25 or newer.
• Personal, reliable transportation.
• Ability to stand, walk, reach, bend, grasp, lift up to 20 pounds occasionally, and perform continuous hand-eye coordination and fine manipulation.

Nice To Haves

• At least 6 months of experience in sales, electronics, retail, telecommunications, or marketing.
• Interest in technology, wearable AI, and/or virtual reality technology.

Responsibilities

• Bring Meta technology to life through hands-on demonstrations of wearable AI, smart technology, and immersive experiences.
• Proactively engage shoppers and create welcoming, personalized experiences.
• Create memorable customer experiences that leave shoppers with a positive impression of Meta and its products.
• Demonstrate product features and benefits according to customers’ interests and needs.
• Guide customers from initial engagement and product demonstration through asking for the sale.
• Keep displays organized, products demo-ready, and the retail experience aligned with Meta brand standards.
• Build relationships with store teams and keep them informed about current products, features, and promotions.
• Track demonstrations, customer engagement, and sales activity while working toward individual and program performance goals.
• Stay current on product launches, software updates, and emerging technology.
• Train store teams on new AI apps, tools, and product features.

Benefits

• Competitive weekly base pay with on-demand cashouts through DailyPay.
• 100% paid product and technology training, completed remotely.
• Potential pathways into lead specialist roles, retail management, and longer-term program opportunities.
• Resume-building experience in consumer AI, spatial computing, and premium brand representation.
• Sales contests with additional incentives that may include Meta products, promotional items, and gift cards.
• The company states employees may have access to paid holidays, career pathing options, personal development opportunities, and professional stretch assignments.

What This Job Offers

• Job Type: Part-time
• Career Level: Entry Level
• Education Level: High school or GED