Own the engineering layer and configuration of the AI-powered application platform to ensure scalability and security. Serve as a technical advisor to non-technical stakeholders while establishing standards for AI-generated code deployment.
RYZ Labs
42 Remote Job Openings at RYZ Labs
Perform daily QA testing and validation of CRM and marketing campaigns, including customer journeys and automations, across multiple devices. Identify and document bugs, rendering inconsistencies, and flow errors to ensure a flawless user experience.
The role involves executing a brand's aesthetic across various sales and marketing touchpoints, including pitch decks, social media, and event materials. The designer will collaborate with the Growth and Product teams to ensure a cohesive brand voice across all assets.
Develop scalable cloud-based products and data-driven solutions using large-scale datasets. Build data pipelines, experimentation frameworks, and analytical solutions within a production environment.
Develop and maintain scalable, cloud-native application features using an API-driven architecture. Collaborate across teams to improve platform health while leveraging AI-native development workflows to increase velocity.
The role involves producing high-quality memorial keepsake videos and marketing content using DaVinci Resolve. The editor will collaborate with families and internal leadership to incorporate personalized elements into video slideshows.
Design and optimize data pipelines using Airflow and AWS to load data into Snowflake. Build modular dbt models and maintain the orchestration layer to ensure high-quality data delivery for business reporting.
Own and scale the customer data infrastructure and event instrumentation ecosystem using Segment. Partner with cross-functional teams to ensure high-quality event tracking and reliable data flows for marketing and analytics tools.
Build and ship production-ready features across the full stack with a strong focus on backend services and scalable APIs. Integrate AI tools and APIs into applications while collaborating with product teams to deliver high-impact solutions.
Coordinate end-to-end brand partnership campaigns and serve as the primary point of contact for event organizers. Manage logistics, billing workflows, and internal collaboration to ensure seamless program execution.
Maintain and scale network infrastructure and a Linux edge fleet for AI-powered vision systems in logistics. Focus on automating repetitive operations, improving observability, and managing the migration from Windows to Linux.
Develop and maintain full stack applications using .NET and modern frontend frameworks to integrate AI-powered features. Collaborate with cross-functional teams to automate workflows and improve system scalability and reliability.
Lead the strategic evolution of a staffing firm into an AI-enabled Recruitment Process Outsourcing (RPO) powerhouse. This includes securing enterprise-level contracts, optimizing AI-driven recruitment processes, and owning the division's P&L.
Lead client discovery sessions and manage complex NetSuite implementation projects for manufacturing and distribution clients. Design and configure scalable NetSuite solutions while providing expert guidance on industry best practices.
The role involves identifying new business opportunities and large-scale partnerships to drive company growth. You will collaborate extensively across teams and partners to execute strategic goals.
Design and implement production-grade LLM-powered conversational agents with advanced tool use and orchestration capabilities. Operate and deploy these systems within a production AWS environment while collaborating with internal stakeholders.
The engineer will install and configure enterprise-grade Azure monitoring and observability solutions, including log analytics, dashboards, and alert pipelines. They are also responsible for delivering comprehensive documentation and conducting knowledge transfer sessions for the client team.
The role involves owning and evolving data architecture, including ingestion, transformation, and reporting layers within a centralized cloud data warehouse. You will build scalable data pipelines, develop data quality frameworks, and partner with finance to provide actionable insights through dashboards and AI-driven workflows.
The Data Analyst will build and maintain dashboards in Sigma to support Operations, Finance, and CX teams while migrating manual reports into scalable BI solutions. They will also analyze cross-domain data to identify trends and partner with data engineers to ensure data quality and consistency.
The Data Product Analyst will own the full experimentation lifecycle, including hypothesis framing, test design, and instrumentation validation. They will also analyze user funnels and retention metrics to provide actionable insights that drive product performance and strategic decision-making.
You will ship production-ready features across the full stack and build internal AI-powered developer tools to improve team efficiency. Additionally, you will integrate LLM APIs and agentic patterns into products while maintaining CI/CD pipelines and infrastructure.
Manage complex Salesforce implementation projects across the full lifecycle while coordinating with internal teams and clients to ensure delivery excellence. Actively manage stakeholder expectations, resource alignment, and project reporting to resolve business challenges.
Design and develop scalable Salesforce solutions using Apex, LWC, and platform-native tools while integrating with external systems. Collaborate with architects to implement AI-driven features and ensure high code quality through testing and documentation.
The primary duties involve accurately entering asset titles and other data, such as collectible trading card information, into internal systems. This role also requires performing data quality checks and flagging records that need further review or correction.
The Product Manager will support the definition and improvement of internal processes and systems, partnering with internal stakeholders to translate needs into clear, actionable product requirements. They will help drive product and operational initiatives from concept through delivery, ensuring alignment with patient experience goals.
The role involves building agent-driven pipelines for enrollment and communication, simulating student testing for curriculum improvement, and developing automated culture/community agents.
Responsibilities also include creating real-time operational dashboards and implementing AI-first workflows to reduce administrative burdens for staff.
The analyst will review and annotate complex conversation traces to rate response quality based on helpfulness, honesty, and harmlessness (HHH), while also building and maintaining high-quality 'Golden Datasets' and benchmarks to stress-test the model.
The Technical Project Manager will coordinate and manage the technical project development of large-scale, distributed software applications, systems, platforms, services, or technologies throughout the complete software development lifecycle, from design through release. The goal is to complete high-quality projects on time.
The role involves developing and maintaining modern React-based user interfaces, building responsive UI components using React and Material UI, and integrating front-end applications with REST APIs. Responsibilities also include participating in the modernization of legacy applications and ensuring code quality through testing and code reviews.
The Agentic Engineer will develop and deliver features and services for a travel platform using AI coding agents like Claude Code and GitHub Copilot in daily workflows. Responsibilities also include reviewing AI-generated code, contributing to modernization efforts, and ensuring code quality and security.
The engineer will design and implement evaluation pipelines to measure the performance and reliability of AI models, developing automated testing frameworks to assess outputs at scale. Responsibilities also include analyzing model performance, evaluating modern architectures like LLM-based applications and RAG systems, and identifying issues related to accuracy, bias, and safety.
Design and build scalable backend services for the core marketplace platform, developing and maintaining cloud infrastructure on GCP using Terraform. This includes building integrations with utility data sources and creating robust data pipelines for real-time monitoring.
The specialist will be responsible for creating and refining high-quality 3D facial models in Blender, developing blendshapes for realistic expressions, and optimizing topology for real-time avatar performance.
The Senior Data Analyst will build and maintain data products using Tableau and Snowflake, applying advanced analytical methods like hypothesis testing and regression analysis to inform product and marketing strategies. Responsibilities also include developing automation using SQL/Python and workflow tools to ensure data quality and collaborating cross-functionally to translate complex data into actionable insights.
The engineer will develop and deliver features and services for a travel platform using AI coding agents like Claude Code and GitHub Copilot in daily workflows to accelerate delivery. Responsibilities also include reviewing AI-generated code, contributing to architecture modernization, and advocating for quality and technical debt reduction.
The role involves designing, building, and maintaining full-stack applications for identity and access management (IAM) experiences, while developing and integrating AI/ML models for use cases like fraud detection and risk-based authentication. Responsibilities also include leading SSO migrations, consolidating identity domains, and improving developer experience through internal tooling and APIs.
The Full Stack AI Engineer will design, build, and deploy AI/ML solutions to enhance identity experiences across platforms. Responsibilities include developing NLP models, implementing AI-powered virtual agents, and automating resolution workflows.
The engineer will design and implement AI/ML models to detect, prevent, and respond to various security threats like fraud and anomalies, while building and maintaining necessary data pipelines for model lifecycle management.
This role involves owning the end-to-end product lifecycle and defining the roadmap for all Customer Care platforms, focusing on optimizing customer experience and operational efficiency. Key duties include managing and optimizing CRM and contact center platforms like Salesforce and NICE inContact, and improving automation and routing logic for tools such as Zendesk and Tidio.
The Data Center Network Engineer will design, deploy, and maintain data center networks while monitoring performance and troubleshooting issues. They will also implement network security measures and automate provisioning and configuration.
The Technical Recruiter will partner across teams to execute sourcing campaigns aimed at attracting and hiring top technical talent. This role is focused on making an impact on the business through effective recruitment strategies.
Strategic Partnerships Lead – Home Health & Hospital Staffing
RYZ Labs
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Full Time
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6 months ago
RYZ Labs
The Strategic Partnerships Lead will activate their network to secure partner meetings and lead conversations to establish partnerships. They will also help define standards for candidate placement and ensure partner confidence through early handoffs.
