Enterprise Support Specialist
Stripe is hiring an Enterprise Support Specialist in Singapore, Singapore. Level rates it ; you can apply on Stripe.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Tools and skills the posting cites include SQL, API and customer support.
- Level classifies it as a mid-level role.
- Level lists 718 other open roles at Stripe.
AI in this role
Drive support operations and resolve complex technical user issues using SQL and APIs.
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
What you'll do
As part of our growing, global Product Support team, you'll be a critical driver in delivering excellent user experiences. This role goes beyond basic troubleshooting—it's about using your technical expertise, problem-solving mindset, and project management skills to strategically improve our support systems, processes, and product quality.
You'll own complex technical user issues and coordinate with cross-functional teams, including Engineering and Product, to drive them to resolution. A deep understanding of SQL and APIs allows you to engage with these teams effectively, analyze data to inform decisions, and propose solutions that drive operational efficiency. Your work focuses on scaling support operations, creating better user experiences, and pushing forward continuous improvements that align with our key metrics, such as Consumer Satisfaction (CSAT), Contact Rate, and Service Level Agreements (SLA).
Responsibilities
- Analyze and troubleshoot complex technical issues through direct user interaction (email, phone), utilizing SQL to extract and interpret data, and leveraging your knowledge of API documentation.
- Develop product and platform expertise, working closely with Engineering, Product, and Operations teams to diagnose and resolve user issues.
- Strategically optimize and scale support processes to enhance efficiency and improve the overall user experience, incorporating data-driven insights and metrics.
- Lead continuous improvement initiatives aimed at hitting key performance metrics such as Consumer Satisfaction (CSAT), Contact Rate, and SLA compliance.
- Create and refine documentation to empower users to resolve issues via self-service, reducing dependency on support teams.
- Collaborate with and advocate to Product and Engineering to proactively improve the platform based on user feedback, ensuring long-term product reliability.
- Lead cross-functional projects aimed at identifying inefficiencies in current processes and driving the implementation of long-term solutions.
- Constantly challenge the status quo and push for innovation in user support strategies and operational processes.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- Business-level proficiency in Mandarin (written and spoken) is required, as this role involves daily communications with our users in the Greater China region.
- 4+ years of experience in a customer-facing product support role, with a focus on troubleshooting technical issues.
- Proficiency in SQL for data analysis and querying, with the ability to interpret datasets.
- Experience working with APIs.
- Excellent problem-solving skills, capable of diagnosing complex issues and driving them to resolution.
- Proven experience in stakeholder management, with the ability to influence cross-functional teams and drive progress.
- Experience in project management, particularly in optimizing processes, workflows, or support operations.
- Willingness to work occasional weekends and holidays (with compensatory time off).
Preferred qualifications
- Strong data analysis skills and a passion for interpreting data to improve decision-making and outcomes
- Comfortable explaining technical concepts to both technical and non-technical stakeholders
- Proficiency in technical environments and the ability to diagnose and resolve highly technical user issues
How we rate this
Enterprise Support Specialist at Stripe rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where customer support was part of your work. What did you do?
- Tell me about a project where troubleshooting was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where project management was part of your work. What did you do?
- Walk me through how you've used SQL in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Customer Support, Troubleshooting, Data Analysis, Project Management, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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