Customer Support Specialist, Rogo
EMEA
No-code data analytics platform
Be an early applicant
No-code data analytics platform
101-200 employees
Be an early applicant
101-200 employees
Company mission
To unleash the power of data and enable everyone to become a data genius.
Role
Who you are
- 1+ years of experience in customer support or user operations within a B2B SaaS or technology environment
- Highly ambitious, with a desire to be an early hire at a fast-growing company, with the opportunity to build out and influence a future team
- Exceptional organizational and prioritization skills within an ambiguous environment and high-volume queues
- Excellent verbal and written communication skills with a keen eye for detail
- Excitement and interest to stay up-to-date and interested within the financial and AI markets
- Analytical mindset with experience using data to inform operational decisions
- A passion for delivering a best-in-class customer experience and a relentless drive for operational excellence
Desirable
- You thrive in fast-paced environments. You are high-intensity and care a lot about what you do, and you're ecstatic to work at a startup
- You are ambitious. You have fun solving problems that others think are impossible
- You are curious. You find joy in learning about AI, technology, and finance
- You are an owner. You are autonomous, self-directed, and comfortable working with ambiguity
- You are collaborative, organized, thoughtful, and kind
What the job involves
- Our team is sharp, motivated, and deeply committed to Rogo’s mission. We take ownership of complex problems and stay relentlessly focused on our users. If you thrive in a fast-paced environment, demand excellence, and want to help build the future of finance, we invite you to join us
- Rogo is seeking our first Customer Support Specialist, EMEA to be a key player on our fast-paced Support team, ensuring we deliver an exceptional experience for our clients
- You will provide client support through chat and email to existing Rogo clients, working at the front lines to provide assistance to clients in need
- Pain points and feedback surfaced directly informs product improvements as we continue to scale
- Handle customer queries in our day-to-day support queues (chat and email), ensuring timely resolution of issues and adherence to SLAs
- Assist clients and teammates to diagnose root causes and provide clear workarounds where needed
- Contribute to operational efficiency and scalability by identifying process optimizations and automation
- Work collaboratively with our Customer Support Managers to streamline and scale support alongside Rogo clientele
- Work collaboratively across Product, Engineering, Sales and Post-Sales to ensure stakeholders are informed and have visibility into Support context
Salary benchmarks
Our take
Managing and using financial data can be a complex and frustrating process. Rogo solves this problem by leveraging the power of natural language processing to allow users to manage, combine, analyze and export data from multiple sources without the need for coding.
This allows businesses to unlock immense value from their data without the need for coding expertise and highly trained developer teams. Simply put, users can perform tasks using plain English. As such, Rogo's comprehensive no-code solution is accessible and scalable.
No-code data analysis is a growing industry, and Rogo's main challenge will be competing with the likes of Domo and Obviously. Its chief asset is the experience of its team, which has lent the company considerable weight and insight. It has also raised substantial funding which supports global expansion, the deepening of partnerships with financial institutions, and the scaling of its AI agent.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
Apr 2026
$160m
SERIES D
Jan 2026
$75m
SERIES C
Total funding: $315m
Company HQ
Civic Center, New York, NY
Leadership
Gabriel Stengel
(CEO & Founder)Previously worked as a Data Analyst at Engineers Gate and as a Software Engineer at MongoDB. Was an Investment Banker at Lazard.
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