Customer Support & Success Specialist (PT Hours | Remote)

Hire5; San Francisco (CA); Remote; USD 60,000 - 90,000; Full time

Benefits offered by this job

Remote work

Long-term commitment

Growth opportunities

Quick interview process

Job summary

Levels.fyi is hiring for a blended customer support and customer success role focused on turning compensation data into clear insights. You will start with consumer support and data operations, then transition toward enterprise success, joining calls to clarify client needs and delivering concise reports.

You will use AI tools like Claude and ChatGPT to refine outputs, working across data quality, invoices, and trend analysis while owning the process.

Qualifications

• Fluent English and comfort communicating with US-based customers.
• Experience using AI tools in practical workflows is a plus.
• Analytical mindset with numeric reasoning.
• Ability to own tasks and progress with minimal direction.

Responsibilities

• Handle consumer-side questions via the website chatbot and verify information.
• Support data operations: clean records, check data quality, validate data, pull reports.
• Respond to enterprise requests and join customer calls as you move into customer success.
• Handle account requests like payment status and invoice reconciliation.
• Analyze compensation data to identify trends and create clear reports and insights.
• Work independently, verify data and AI outputs before presenting results.

Skills

English fluency

Analytical thinking

Ownership

Ambiguity tolerance

US PT availability

Tools

Claude AI

ChatGPT

Plugins (MCPs)

Job description

About

Levels.fyi is a leading online platform for salary transparency, helping people compare career levels and compensation packages across companies and make informed career decisions. With over 1 million monthly users, the platform serves individual professionals and enterprise customers, working with major companies including Netflix, Bloomberg, TikTok, and IBM. Its enterprise solutions help HR and compensation professionals use data to benchmark pay and set compensation bands. The team combines customer support, data operations, and customer-facing analytical work to help customers get meaningful insights from compensation data.

About the role

This is a blended customer support and customer success role. You will start by learning the business through consumer-side support and data operations, then move toward enterprise customer success over the first few months. As you grow into the role, you will work more directly with customers, understand their questions, and turn compensation data into clear reports and useful insights.

What you'll do

• Handle consumer-side questions and issues raised through the website chatbot, investigating reports of information or functionality that may be wrong.

• Support data operations by cleaning records, checking data quality, validating information, and helping pull reports.

• Respond to enterprise customer requests and, as you transition into customer success, join customer calls to clarify what they need.

• Handle practical account requests such as checking payment status and reconciling invoices.

• Explore compensation data to identify trends and changes over time, investigate what stands out, and create clear reports, charts, and insights for customers.

• Work through unfamiliar requests independently, checking the data and the outputs of AI tools rather than relying on the first answer.

What we're looking for

• Fluent spoken English and the confidence to communicate directly with U.S.-based customers.

• Hands-on, day-to-day experience using AI tools such as Claude or ChatGPT. You are comfortable iterating with them, reviewing their outputs, and using tools such as MCPs or plugins in practical workflows.

• An analytical mindset and comfort thinking in numbers. Previous data experience is useful, but a strong ability to reason through data and questions can also transfer.

• The ability to work through ambiguity, take ownership, and move work forward without needing every next step spelled out.

• Availability to cover customer needs across U.S. Pacific time zones.

Preferred experience

• Experience with compensation data, HR, People Operations, or work as a compensation specialist.

• Experience with reporting, data cleaning or validation, customer support, account support, or invoice reconciliation.

What we offer

• Full-time job (8 hours per day, Monday-Friday). Please note that we will not consider candidates planning to combine several jobs.

• Remote work.

• Stability. This is not project work, we consider only the candidates looking for a long-term commitment.

• An opportunity to gain valuable experience by learning from true innovators - Zuhayeer Musa and Zaheer Mohiuddin.

• Possibility to grow.

• Quick selection process.

• Salary will be discussed during the interview. Paid in USD.