Consumer Support Coordinator

Posted Oct 28

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Assist in the rapid expansion of the company’s loyalty program and Perks operations.

• Validate and process incoming submissions of consumer receipts.

• Confirm eligibility of receipts based on store, product, date, and program criteria.

• Identify duplicate entries and ensure the accuracy of purchase details.

• Escalate any unusual or unclear receipts to the U.S. team for further review.

• Monitor receipt status using shared tools and either reject or flag invalid submissions.

• Engage with customers through personalized messages or prompts for follow-ups.

• Assist customers in troubleshooting common issues related to submissions.

• Train and guide the receipt reader tool by identifying frequent misreads.

• Update and verify consumer contact information while enhancing customer profiles.

• Annotate and classify receipt data to aid in Document AI model training.

• Collaborate with the finance team to classify statements and manage checks along with other semi-manual tasks.

• Provide support to the CEO with research, audits, data entry, scheduling, and special projects.

• Enroll eligible users in automated SMS marketing campaigns.

• Oversee the delivery of campaigns and the status of audience uploads.

• Coordinate with the U.S. team regarding campaign timing, exceptions, and new audience segments.


⛳️ Requirements

• A minimum of 3+ years of experience in customer support, data operations, QA, and administrative tasks.

• Previous experience in consumer business, retail, hospitality, or customer service is required.

• A Bachelor’s degree is mandatory.

• Exceptional attention to detail, with the capability to identify inconsistencies or errors.

• Familiarity with tools such as Airtable, Zapier, basic CRMs, and form tools.

• Proficient written English skills with the ability to communicate clearly and professionally.

• Availability for full-time hours in the Philippines, with some overlap in U.S. time zones.

• Tech-savvy, accountable, and capable of independent work.

• Must use personal equipment for work purposes.

• Experience in labeling or training data for machine learning models is a plus.

• High-performance individual who is smart and productive.


🏝️ Benefits

• Flexible schedule.

• Remote work opportunities.

• Full-time employment status.

• Chance to support a mission-driven Public Benefit Corporation focused on healthy, affordable food and sustainable operations.

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