Customer Success Associate
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Customer Success Associate (Customer Support): Supporting and nurturing user relationships for the Picks product by collecting customer voice, resolving issues, and routing feedback to the right teams with an accent on multi-channel communication, conflict resolution, and fraud-aware account support. Focus on investigating bug and usability problems, prioritizing product/feature requests, and reviewing deposit/withdrawal transactions for potential fraud.
Location: Remote, United States
Company
is a sports-focused games platform with messaging at its core.
What you will do
- Provide customer service across email, chat, and social media while applying product and industry knowledge.
- Handle complaints, requests, and inquiries professionally and on time, using conflict resolution and clear communication.
- Support internal teams (including Regulatory Operations and Compliance) with ad hoc requests and additional fraud reviews as needed.
- Assist Operations and Fraud teams with user-interaction needs related to the DFS product.
- Review player deposit and withdrawal transactions for potential fraud to ensure accounts are correctly maintained.
Requirements
- 2+ years of experience in a direct Customer Support/Success role.
- Excellent verbal and written communication skills for collaborating across departments and with users.
- Availability for weeknights and weekends with a 5-day weekly schedule covering 40 hours per week.
- Ability to ask questions to understand user intent and isolate root causes of bugs.
- High empathy and a customer-centric mindset.
Culture & Benefits
- Comprehensive health, dental, and vision insurance.
- 401(k) and flexible working hours with remote work options.
- Unlimited PTO and opportunities for career advancement.
- Competitive pay with benefits including Medical, Dental, PTO, and 401k.
Hiring process
- Interviews to assess customer support experience, communication skills, and problem-solving approach.
- Evaluation of availability for night shifts/weekends and fit for customer-centric work.
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