You will be responsible for integrating and abstracting multiple ad platform APIs while maintaining and evolving a core PHP monolith. Additionally, you will oversee the safety and reliability of deployment pipelines and revenue-critical billing systems.
RYZ Labs
37 Remote Job Openings at RYZ Labs
The role involves managing the CEO's calendar and inbox while overseeing the company's administrative engine. Key duties include running recruiting workflows, managing finance and vendor operations, and ensuring SOC 2 compliance.
Lead the technical evolution and modernization of software applications by designing scalable architectures and establishing engineering standards. The role involves a balance of hands-on coding, strategic planning, and mentoring engineering teams to accelerate productivity.
The Principal AI Engineer will lead the technical design, governance, and deployment of AI/ML solutions across a global business portfolio. This includes building reusable internal tooling, establishing security standards, and mentoring engineering teams to ensure scalable production patterns.
Lead the engineering effort to replatform and evolve a suite of proprietary eDiscovery tools, serving as the primary technical decision-maker for architecture and infrastructure. Establish engineering foundations including CI/CD and coding standards while building and mentoring a high-performing engineering team.
Design and deploy scalable business solutions using Salesforce's declarative platform, focusing on a 'clicks-not-code' strategy. Translate complex business requirements into maintainable applications using Flow, Lightning App Builder, and Schema Builder.
Act as the ultimate technical authority for the NetSuite ecosystem, leading solution architecture and overseeing complex integration networks. Responsibilities include establishing engineering standards, driving AI-powered development workflows, and managing DevOps and CI/CD pipelines.
Lead the solution architecture and implementation of a new NetSuite ERP system based on business requirements. Develop custom scripts, workflows, and integrations with third-party systems using SuiteScript 2.1.
Responsible for the configuration, development, and support of NetSuite solutions with a primary focus on the Field Service Management module. This includes creating custom scripts, optimizing FSM workflows, and developing integrations with third-party systems.
Architect and deploy a next-generation Kubernetes ecosystem and migrate legacy infrastructure to a managed cloud provider. Collaborate with software engineers to decompose a monolith into a distributed architecture and establish automated CI/CD pipelines.
The operator will handle imaging and color correction for card designs to ensure visual consistency and accuracy. They will collaborate with photographers and designers to maintain high quality control standards across all projects.
Translate card designs into high-quality, error-free forms ready for press while ensuring color accuracy and consistency. Collaborate cross-functionally with photographers and designers to resolve image quality and resolution issues.
Own and design critical parts of an AI agent platform, including document parsing and data pipelines. Establish engineering standards and make infrastructure decisions to support scalable growth on AWS.
Build and maintain high-quality, AI-powered frontend applications with a focus on intuitive user experiences. Collaborate with product and design teams to translate ideas into polished, responsive, and scalable interfaces.
The role involves accurately entering collectible asset data and serial numbers into internal systems. It also requires performing quality checks to ensure data standards are met and flagging records for review.
Drive new business across North America by developing strategic relationships with enterprise technology leaders. Manage the full sales cycle from prospecting through contract execution to expand the company's U.S. market presence.
Develop and maintain a service-oriented, event-driven ecosystem of applications using Elixir and Phoenix. Responsibilities include conducting code reviews, collaborating with product teams, and optimizing application performance.
The Practical Architect is responsible for preparing detailed technical documentation and construction drawings. They will coordinate projects and collaborate closely with the design team to ensure accuracy and quality.
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 analytics.
Design and implement server-side applications that handle complex data and integrate with various systems. Collaborate with cross-functional teams to deliver high-quality software for financial services.
Build and maintain full-stack web applications using React and Node.js while leveraging LLMs to accelerate development. Collaborate with the team to integrate APIs and manage cloud infrastructure on AWS.
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.
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.
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 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 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.