Lead large cross-team engineering projects and drive them to production while overseeing technical debt and incident management. Build and motivate high-performing teams while fostering a results-oriented culture and optimizing productivity processes.
Tabby
58 Remote Job Openings at Tabby
Design and execute global culture, engagement, and recognition programs to foster connection across a distributed workforce. Manage branded merchandise and internal communications while coordinating events and team-building activities across multiple hubs.
Design and execute global culture, engagement, and recognition programs to connect a distributed workforce across multiple hubs. Manage end-to-end branded merchandise, internal communications, and vendor relationships to ensure a consistent employee experience.
Design and execute global culture, engagement, and recognition programs to connect a distributed workforce across multiple hubs. Manage branded merchandise, internal communications, and external vendors to ensure a consistent employee experience.
Design and execute global culture, engagement, and recognition programs to connect a distributed workforce across multiple hubs. Manage end-to-end employee experience initiatives, including events, branded merchandise, and internal communications.
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.
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.
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.
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.
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.
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.
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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a month 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.
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 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.
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 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, 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 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.
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 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 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 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 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 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, 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, 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 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, 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, 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 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 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 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 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 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 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 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 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 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 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.
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 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 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.
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.