
Consumer Support Coordinator
Posted Oct 28

Posted Oct 28
This is a fully remote position, open to applicants in Philippines.
• 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.
• 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.
• 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.
Pfizer
AECOM
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