Jobs at Ryz Labs

Prepare technical drawings and construction documentation using Autodesk Revit. Ensure architectural detailing and drawing standards, coordinate with the design team, work independently while providing accurate, organized, and detail-oriented deliverables for projects.

Build and optimize ETL pipelines into Snowflake using Airflow and AWS. Develop modular dbt models with tests and documentation, improve orchestration (Airflow/Astronomer), collaborate with analytics and stakeholders on data modeling, and ensure high-quality, scalable data delivery for analytics and downstream applications.

The role involves partnering with product teams to drive data-informed decisions through experimentation, analyzing user metrics, and uncovering insights from product event data.

Own and evolve data architecture and pipelines, ensure data quality, support financial reporting, develop dashboards, and implement AI-driven workflows.

Own and optimize end-to-end email and SMS lifecycle programs (Klaviyo), write on-brand copy, design mobile-optimized templates, run segmentation and A/B tests, monitor deliverability and channel health, report performance, and integrate AI tools to accelerate production.

Lead and grow a cross-functional engineering team (frontend, backend, infrastructure). Provide technical direction, drive AI integration, improve engineering practices (quality, testing, observability), manage delivery and cross-functional coordination, hire and onboard talent, run agile processes, and collaborate on long-term technical strategy to scale products rapidly and reliably.

Design and implement production-grade LLM-powered conversational agents and orchestration systems in AWS, collaborating with internal teams and stakeholders.

Build and deploy AI-driven identity and support automation across frontend, backend, and ML systems: NLP models, copilots, ITSM integrations, self-healing runbooks, monitoring, and security/compliance guardrails.

Build and maintain full-stack identity and access systems, integrate AI/ML for fraud and anomaly detection, lead SSO migrations and domain consolidation, design secure APIs and developer tooling, and ensure privacy, observability, and production readiness for identity services.

As an AI Fullstack Engineer, you'll develop AI solutions for logistics, working end-to-end on features and improving internal tools. You'll integrate LLM APIs, own deployment workflows, and debug production issues using modern technologies. Strong communication and a proactive approach are essential.

The Head of Sales will lead the sales function for the RLHF vertical, focusing on strategy, customer acquisition, and revenue growth. This role involves building and managing the sales organization and collaborating with marketing and product teams, along with engaging C-level stakeholders.

The Data Analytics Engineer will enhance customer data infrastructure, manage event tracking, and drive data quality initiatives while collaborating with Product, Marketing, and Engineering teams.

The Product Manager will streamline patient journeys by translating clinical needs into technical requirements, managing workflows, and optimizing systems while supporting product and operational initiatives from concept to delivery.

Build production-ready features across backend and frontend, develop scalable APIs, integrate AI tools, and debug issues in a dynamic team environment.

Build and maintain full-stack web applications using React and Node.js while leveraging LLMs to accelerate development. Implement GraphQL APIs, support cloud infrastructure (AWS or similar), collaborate with the team to iterate on features, and deliver high-quality solutions.

The Senior Technical Recruiter will manage full-cycle recruiting and partner across teams to attract technical talent while ensuring strong communication and organizational support.

The Engineering Manager will lead and mentor a high-impact engineering team, shape technical direction, improve engineering practices, and manage project execution while fostering team growth and collaboration.

The AI Solutions Engineer (Staff) will own the engineering layer for AI-assisted development, ensuring scalability and maintainability, advising stakeholders, and establishing best practices for AI-generated applications.

Manage Salesforce implementation projects, coordinate teams, ensure client satisfaction, and leverage strong technical and project management skills.

The role involves creating scalable AI solutions for enrollment, communication, and operational efficiencies, focusing on hands-on development and strategic AI implementations.