
201 - 500 employees
Founded 2019
💳 Fintech
💸 Finance
☁️ SaaS
Fintech • Finance • SaaS
Mercury is a financial technology company that provides online business banking services, although it is not a bank itself. It partners with FDIC-insured banks like Choice Financial Group, Column N. A. , and Evolve Bank & Trust to offer banking services. Mercury aims to simplify financial operations for startups and businesses by offering a range of services including checking and savings accounts, treasury management, corporate cards, expense management, invoicing, and accounting automations. The platform is designed to streamline various banking tasks and enhance financial workflows with features like fraud monitoring and account security. It also offers investment opportunities through its Mercury Treasury product and startup support through its Mercury Raise platform.
🔥 0 minutes ago
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
Founded 2019
💳 Fintech
💸 Finance
☁️ SaaS
Fintech • Finance • SaaS
Mercury is a financial technology company that provides online business banking services, although it is not a bank itself. It partners with FDIC-insured banks like Choice Financial Group, Column N. A. , and Evolve Bank & Trust to offer banking services. Mercury aims to simplify financial operations for startups and businesses by offering a range of services including checking and savings accounts, treasury management, corporate cards, expense management, invoicing, and accounting automations. The platform is designed to streamline various banking tasks and enhance financial workflows with features like fraud monitoring and account security. It also offers investment opportunities through its Mercury Treasury product and startup support through its Mercury Raise platform.
• Drive quality consistency and operational integrity: Review customer interactions to assess compliance, risk, and quality standards, applying strong judgment in ambiguous or edge-case scenarios. Lead and contribute to calibration efforts that strengthen fairness, alignment, and consistency across quality evaluations. • Deliver behavior-based quality insights: Provide thoughtful, actionable feedback on customer interactions, identifying strengths, opportunities, and recurring behaviors that support coaching, skill development, and performance improvement. • Investigate patterns and uncover meaningful signals at scale: Leverage AI-assisted tools, QA data, and qualitative analysis to identify recurring behaviors, risks, and opportunity areas across large volumes of customer interactions, surfacing trends that would be difficult to identify through manual review alone. • Connect insights to root causes and operational improvements: Distinguish between agent behavior, process gaps, and product or tooling issues to identify root causes and translate findings into actionable recommendations for quality processes, workflows, and customer experience improvements. • Translate insights into coaching and cross-functional action: Synthesize patterns and signals into clear, actionable guidance for Leadership, Enablement, and cross-functional partners, helping drive follow-through and measurable improvements across support operations. • Contribute to the evolution of the Quality model: Support experimentation, iterative improvement, and new approaches to understanding customer interactions at scale as Mercury continues evolving toward a more insights-driven, AI-assisted Quality function.
• 2–4+ years of experience in Quality Assurance or a related Customer Experience role, ideally in a fast-paced, operationally complex, or regulated environment • Strong quality judgment and systems thinking: You can evaluate how work is done — not just outcomes — and identify patterns, root causes, and opportunities for improvement across people, processes, and tooling • Insight generation and problem-solving skills: You’re able to investigate open-ended questions using QA data, qualitative examples, and AI-assisted analysis, translating patterns into clear, actionable recommendations that support coaching and operational improvement • Cross-functional communication and influence: You build trust across teams, communicate insights clearly, surface risks and gaps proactively, and help stakeholders align on actions and move improvement efforts forward through strong follow-through and coordination • Ownership, adaptability, and continuous improvement mindset: You operate effectively in evolving environments, move ideas into action with minimal guidance, and proactively identify ways to improve systems, workflows, and quality practices over time • AI-assisted quality tooling experience: Experience using AI-assisted analysis tools (such as Rippit, Claude, or similar platforms) to investigate customer interactions, identify meaningful patterns, and support operational decision-making. Curiosity and experience refining prompts or queries to improve signal quality and reduce noise is highly valued.
• base salary • equity (stock options/RSU’s)
Apply Now🔥 3 hours ago
Technical Account Manager responsible for high-severity technical support for enterprise clients at Harvey. Driving customer success and operational excellence in a fast-growing company.
🕒 3 days ago
Senior Technical Support Engineer resolving complex technical issues on Sumo Logic’s platform. Collaborating with global teams to ensure seamless customer support across EMEA regions.
AWS
Cloud
Distributed Systems
DNS
Linux
Python
TCP/IP
Unix
🕒 July 9
Quality Analyst for Airbnb's Premium Support focused on evaluating service quality and luxury hospitality standards. Collaborates with leadership to enhance customer experience and service effectiveness.
🇮🇪 Ireland – Remote
💵 €51k - €60k / year
💰 Post-IPO Equity on 2020-12
⏰ Full Time
🟡 Mid-level
🟠 Senior
📞 Support Engineer
🗣️🇩🇪 German Required
🕒 June 5
Senior Technical Support Specialist providing product and technical support for DataVisor's AI Fraud and Risk Platform. Collaborating with clients and engineering teams to resolve technical issues and improve product usability.
Java
Python
SQL
🕒 June 2
Senior Manager, Support Engineering leading a global team responsible for technical support at Wiz. Focusing on complex technical issues and collaborations with various internal teams to enhance customer experiences.
AWS
Azure
Cloud
Cyber Security
Google Cloud Platform
Java
JavaScript
Kubernetes
Linux
Python
Rust
Go