Scale the systems behind Tabby's core products and work on high-impact projects. Develop backend services using a microservices architecture to support a high-growth fintech environment.
Tabby
85 Remote Job Openings at Tabby
Own the end-to-end user experience for the Business Account across the Merchant Dashboard and Business App. Collaborate with cross-functional teams to design clear, data-dense interfaces for complex financial and lending lifecycles.
Interns will work on real production tasks in either the VAPT track, focusing on vulnerability triage and security testing, or the GRC track, focusing on compliance and risk assessments. Both tracks involve collaborating with engineering teams to implement technical controls and maintaining security documentation.
Develop and maintain backend services using Go, focusing on production-ready code and API integrations. Participate in designing backend components and addressing technical debt within high-load financial systems.
Participate in end-to-end testing of product features and automate test suites for APIs and integrations. Validate interactions between services and contribute to root-cause analysis of bugs.
Work on runtime and development platforms including cloud infrastructure, Kubernetes, and CI/CD pipelines. Assist in automating infrastructure provisioning, improving observability, and participating in incident analysis.
The intern will manage the operational health of primary data stores, focusing on PostgreSQL performance tuning and schema reviews. Responsibilities include handling backup procedures, replication operations, and building observability dashboards.
Build and configure AI agents and automations using no-code/low-code tools to automate human workflows. Integrate these agents with internal systems via APIs and iterate on their performance based on evaluation results.
Senior Platform Product Manager, Risk Decisioning Platform/Scoring
Tabby
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Full Time
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13 days ago
Tabby
Own the end-to-end vision, strategy, and roadmap for the Tabby Scoring System and risk decisioning platform. Drive self-service delivery of business changes and manage key platform metrics such as lead time and SLA.
The role involves reviewing screening results, conducting enhanced due diligence on high-risk customers, and validating KYB documentation. Additionally, the associate will monitor suspicious transactions and maintain audit trails for compliance reviews.
The Senior Marketing Analyst will evaluate marketing efficiency and optimize user acquisition and reactivation strategies. They will own the mobile attribution framework and design experiments to measure incrementality and campaign impact.
Develop a backend for an internal AI agent platform and design the surrounding microservices architecture. Collaborate with platform clients to optimize agent creation, quality evaluation, and performance under load.
Develop a backend for an internal AI agent platform and design the surrounding microservices architecture. Collaborate with platform clients to optimize agent creation, quality evaluation, and system performance under load.
Develop a backend for an internal AI agent platform and design the surrounding microservices architecture. Collaborate with platform clients to optimize agent creation, quality evaluation, and performance under load.
Develop an internal AI agent platform and surrounding microservices to drive automation and innovation. Participate in architectural setup, technology selection, and performance optimization of the agent ecosystem.
Develop a backend for an internal AI agent platform and design the surrounding microservices architecture. Collaborate with platform clients to optimize agent creation, quality evaluation, and performance under load.
The role focuses on improving customer experience through data-driven insights, operational analytics, and the optimization of support workflows. Key tasks include building dashboards, automating data pipelines, and utilizing LLM tools for analytical tasks.
The role focuses on improving customer experience through data-driven insights, operational analytics, and performance measurement of support workflows. Responsibilities include building dashboards, automating data tasks with Python and Airflow, and utilizing LLMs for analytical tasks.
The role focuses on improving customer support through data-driven insights, operational analytics, and process optimization. Responsibilities include building dashboards, automating data tasks with Python and Airflow, and utilizing LLMs for analytical tasks.
The role focuses on improving customer experience through data-driven insights, operational analytics, and process optimization. Responsibilities include building dashboards, automating data tasks with Python and Airflow, and utilizing LLMs for analytical tasks.
The role focuses on improving customer experience through data-driven insights, operational analytics, and performance measurement of support workflows. Responsibilities include building dashboards, optimizing data pipelines, and utilizing LLM tools for analytical tasks.
The role focuses on improving customer experience through data-driven insights, operational analytics, and process optimization. Responsibilities include building dashboards, automating data tasks with Python and Airflow, and utilizing LLMs for analytical tasks.
Lead the end-to-end AI transformation for the People division by implementing AI-powered tools and redesigning HR processes. The role involves deploying AI agents and chatbots to automate repetitive tasks across recruitment, operations, and performance management.
The role focuses on improving customer support through data-driven insights, operational analytics, and the optimization of support workflows. Key duties include building dashboards, automating data tasks with Python and Airflow, and utilizing LLMs for analytical tasks.
The role focuses on maintaining service reliability through SLO/SLI management, toil reduction, and monitoring system optimization. It involves managing incidents, conducting postmortems, and automating Jira Service Management workflows.
The role involves managing service desk reliability through SRE fundamentals, incident resolution, and infrastructure automation. You will collaborate with engineering and product teams to identify bottlenecks and facilitate technical meetings.
The ServiceDesk Engineer will troubleshoot complex technical issues, including API errors and performance bottlenecks, while maintaining documentation and playbooks. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The role involves managing service desk reliability through SRE fundamentals, incident resolution, and infrastructure automation. You will collaborate with engineering and product teams to identify bottlenecks and facilitate technical communication.
The ServiceDesk Engineer will troubleshoot complex technical issues, perform root cause analysis, and investigate product bugs. They will also standardize support processes, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, perform root cause analysis, and maintain documentation for L1 and L2 teams. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer will troubleshoot complex technical issues, including API errors and HTTP flows, while standardizing solutions and creating playbooks. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, including API errors and HTTP flows, while maintaining documentation and playbooks for the team. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer will troubleshoot complex technical issues, including API errors and performance bottlenecks, while maintaining clear documentation for the team. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, including API errors and HTTP flows, while maintaining documentation and playbooks for the team. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, perform root cause analysis, and maintain documentation for internal teams. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, including API errors and performance bottlenecks, while maintaining documentation and playbooks. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, perform root cause analysis, and manage product bugs in collaboration with engineering teams. They are also responsible for automating routine tasks, maintaining documentation, and participating in on-call incident management.
The role involves managing service desk reliability through SRE fundamentals, incident resolution, and infrastructure automation. You will collaborate with engineering and product teams to identify bottlenecks and facilitate technical meetings.
The role involves managing service desk reliability through incident resolution, toil management, and the implementation of SRE fundamentals. You will also be responsible for automating workflows using Jira Service Management and maintaining infrastructure via Terraform and GCP.
The role involves managing service desk reliability through SRE fundamentals, incident resolution, and automation. You will collaborate with engineering and product teams to identify bottlenecks and facilitate technical meetings.
The role involves managing service desk reliability through incident resolution, toil management, and the implementation of SRE fundamentals. You will also be responsible for automating workflows using Jira Service Management and maintaining infrastructure via Terraform and GCP.
The role involves managing service desk reliability through infrastructure automation, incident resolution, and performance monitoring. You will collaborate with engineering and product teams to identify bottlenecks and facilitate effective communication during critical incidents.
The role involves managing service desk reliability through infrastructure automation, incident resolution, and maintaining core SRE metrics. You will collaborate with engineering and product teams to identify bottlenecks and facilitate effective communication during critical incidents.
The role involves managing SRE fundamentals, including SLO/SLI metrics, incident resolution, and toil management. You will also be responsible for automating workflows using Jira Service Management and maintaining infrastructure via Terraform and GCP.
The role involves managing SRE fundamentals, including SLO/SLI metrics, incident resolution, and toil management. You will also be responsible for automating workflows using Go/Python and maintaining infrastructure via Terraform and GCP.
The role involves managing service desk reliability through SRE fundamentals, incident resolution, and automation. You will collaborate with engineering and product teams to identify bottlenecks and maintain system performance.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, including API errors and HTTP flows, while maintaining documentation and playbooks. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The ServiceDesk Engineer L2 will troubleshoot complex technical issues, including API errors and performance bottlenecks, while standardizing support documentation. They will also investigate product bugs, automate routine tasks, and participate in on-call incident management.
The role involves handling and troubleshooting technical requests, including root cause analysis for complex issues like HTTP flows and API errors, and investigating product bugs in collaboration with Product and Engineering teams. Responsibilities also include standardizing solutions, proactively analyzing logs, automating repetitive tasks, and participating in on-call duties.
The role involves handling and troubleshooting complex technical requests, including root cause analysis for issues like HTTP flows and API errors, while also standardizing solutions and maintaining playbooks for L1/L2 engineers. Additionally, the engineer will investigate product bugs, analyze production system logs, automate repetitive tasks, and participate in on-call duties.
The role involves leading large cross-team projects to production, contributing to quarterly planning, and overseeing technical debt management and incident handling. Responsibilities also include hiring, evaluating, and motivating team members while fostering cross-functional collaboration.
The role involves leading large cross-team projects to production, contributing to quarterly planning, and overseeing technical debt and incident handling. Responsibilities also include hiring, motivating team members, and fostering a results-oriented culture while ensuring process transparency.
The role involves leading large cross-team projects to production, contributing to planning, and overseeing technical debt and incident handling. Responsibilities also include hiring, motivating team members, and fostering cross-functional collaboration to increase efficiency.
The Engineering Manager will lead large cross-team projects through production, contribute to planning and roadmap definition, and oversee technical debt and incident handling. Responsibilities also include hiring, motivating team members, and fostering cross-functional collaboration to increase efficiency.
The role involves leading large cross-team projects through production, contributing to quarterly planning, and overseeing technical debt and incident handling. Responsibilities also include hiring, evaluating, and motivating team members while fostering cross-functional collaboration and transparency.
Interns work on real production tasks under senior review, developing and maintaining analytical data models and contributing to data quality checks. They are expected to help build and maintain data products used by business and engineering teams.
Interns work on real production tasks under senior review, developing and maintaining backend services using Go. They are expected to contribute to API development, service integrations, and participate in code reviews.
The Senior QA Engineer will be responsible for designing the testing strategy and performing hands-on testing across both mobile applications (iOS/Android) and backend services within a microservice architecture. Key tasks include building automation, defining QA standards, and collaborating with cross-functional teams to ensure release quality.
The Senior QA Engineer will be responsible for designing and implementing automated test suites across mobile applications and backend services, covering unit, integration, API, and end-to-end testing. Key duties also involve defining QA processes, performing manual testing, and collaborating with cross-functional teams to ensure release quality.
The Senior QA Engineer will be responsible for designing and implementing automated test suites across mobile applications and backend services, covering unit, integration, API, and end-to-end testing. Key duties also involve defining QA standards, performing manual testing on iOS/Android apps and backend services, and collaborating with cross-functional teams to improve release quality.
The Senior QA Engineer will be responsible for designing and implementing comprehensive automated test suites across mobile applications and backend services, covering unit, integration, API, and end-to-end scenarios. This role also involves defining QA processes, performing manual testing, and collaborating with cross-functional teams to ensure high release quality.
The Senior QA Engineer will be responsible for designing and implementing automated test suites across mobile applications and backend services, covering unit, integration, API, and end-to-end testing. Key duties also involve defining QA processes, performing manual testing, and collaborating with cross-functional teams to ensure release quality.
The Senior QA Engineer will be responsible for designing and implementing automated test suites across mobile applications and backend services, covering unit, integration, API, and end-to-end scenarios. This role also involves defining QA processes, performing manual testing, and collaborating with cross-functional teams to ensure release quality.
The Senior QA Engineer will be responsible for designing the testing strategy and implementing automated test suites across mobile applications and backend services, including unit, integration, API, and end-to-end coverage. Key duties also involve defining QA standards, performing manual testing, and collaborating with cross-functional teams to ensure release quality.
The Senior QA Engineer will design and implement automated test suites for mobile and backend systems, as well as define and maintain QA processes and standards. They will also collaborate with developers and product managers to ensure early detection of issues and drive continuous improvement of release quality.
The Senior Data Analyst will support product and business teams in enhancing customer activation and loyalty through various metrics and features. They will also analyze raw product and behavioral data to provide actionable insights.
The Senior Data Analyst will support product and business teams in enhancing customer activation and loyalty through various engagement strategies. They will analyze customer lifecycle metrics and develop actionable insights from raw data.
The Senior Data Analyst will support product and business teams in customer activation and reactivation funnels, focusing on long-term value and customer loyalty. They will generate hypotheses, conduct research and A/B tests, and develop data visualizations to inform decision-making.
The Senior Data Analyst will support product and business teams in customer activation and reactivation funnels, while also generating hypotheses and conducting research to improve customer loyalty. They will develop data visualizations and reports to inform decision-making across the organization.
The Senior Data Analyst will support product and business teams in enhancing customer activation and loyalty. They will analyze customer lifecycle metrics and develop actionable insights from data.
The Senior Data Analyst will support product and business teams in customer activation and reactivation funnels, focusing on improving customer loyalty and long-term value. They will generate hypotheses, conduct research and A/B tests, and develop data visualizations to inform decision-making.
The Senior Data Analyst will support product and business teams in enhancing customer activation and loyalty through various engagement strategies. They will analyze customer lifecycle metrics and develop actionable insights to improve long-term customer value.
The Senior Data Analyst will support product and business teams in enhancing customer activation and loyalty through various metrics and tools. They will analyze customer lifecycle data to identify opportunities for improvement and develop actionable insights.
The Senior Data Analyst will support product and business teams in customer activation and reactivation funnels, focusing on improving long-term customer value and loyalty. They will generate hypotheses, conduct research and A/B tests, and develop data visualizations to inform decision-making.
This specialist will be responsible for configuring ticket distribution logic, managing queues within the CRM, and adjusting Full-Time Equivalent (FTE) requirements based on queue changes. Key duties involve managing routing rules, monitoring service performance metrics, planning headcount based on forecasts, and building time series forecasts for incoming contacts.
This specialist will configure ticket distribution logic, manage CRM queues, and adjust FTE requirements based on queue changes, combining Workforce Management and data analytics functions. Key duties include optimizing routing rules, monitoring service performance metrics, planning headcount based on forecasts, and building time series forecasts for incoming contacts.
The specialist will be responsible for configuring ticket distribution logic, managing queues within the CRM, and adjusting Full-Time Equivalent (FTE) requirements based on queue changes. This involves deep involvement in both Workforce Management (WFM) and data analytics tasks.
This specialist will be responsible for configuring ticket distribution logic, managing queues within the CRM, and adjusting Full-Time Equivalent (FTE) requirements based on queue changes, combining Workforce Management and data analytics functions. Key duties include optimizing routing rules, monitoring service performance metrics like SLA and AHT, and planning required agent headcount based on forecasts.
This specialist will configure ticket distribution logic, manage queues within the CRM, and adjust Full-Time Equivalent (FTE) requirements based on queue changes. Key duties involve queue management, service performance monitoring, FTE planning, workload forecasting, and data retrieval via SQL.
This specialist will configure ticket distribution logic, manage queues within the CRM, and adjust Full-Time Equivalent (FTE) requirements based on queue dynamics, combining Workforce Management (WFM) and data analytics functions. Key duties include optimizing routing rules, monitoring service performance metrics like SLA and AHT, and performing workload forecasting.
This specialist is responsible for configuring ticket distribution logic, managing internal queues within the CRM, and adjusting Full-Time Equivalent (FTE) requirements based on queue dynamics. Key tasks involve optimizing routing rules, monitoring service performance metrics like SLA and AHT, and performing workload forecasting.
This specialist will configure ticket distribution logic, manage internal CRM queues, and adjust Full-Time Equivalent (FTE) requirements based on queue changes, combining Workforce Management and data analytics functions. Key duties involve optimizing routing rules, monitoring service metrics like SLA and AHT, and performing workload forecasting for staffing needs.
This specialist will be responsible for configuring ticket distribution logic, managing queues within the CRM, and adjusting Full-Time Equivalent (FTE) requirements based on queue changes. Key duties involve managing routing rules, monitoring service performance metrics, planning headcount, and building forecasts for incoming contacts.
The ServiceDesk Engineer L2 will handle and troubleshoot requests from tech support and internal teams, including root cause analysis of complex issues. They will also standardize solutions and prepare clear instructions for L1 and L2 engineers.
The ServiceDesk Engineer L1 will handle requests from the support team, identify and report bugs, and standardize solutions. They will also analyze technical issues and contribute to the development of internal tools and processes.
