Ryz Labs

Customer Support

• Own the end-to-end product lifecycle for all Customer Care platforms.
• Define and execute the roadmap for customer support tools and integrations.
• Identify optimization opportunities to improve customer experience, response times, and operational efficiency.
• Align product initiatives with overall ecommerce and business goals.
• Manage and optimize CRM and contact center platforms, including Salesforce, NICE inContact, RingCentral, and HubSpot.
• Oversee integration and performance across all systems.
• Ensure accurate data flow, reporting consistency, and system scalability.
• Lead shipping tools integrations to support post-purchase and delivery experiences.
• Improve automation, chat flows, and ticket routing logic.
• Configure routing priorities and escalation workflows.
• Design and maintain complex workflow automations across platforms.
• Partner with engineering to implement API-based integrations between systems.

Product Manager – Customer Care

Security Engineer

• Design and implement AI/ML models to detect, prevent, and respond to security threats (e.g., fraud, abuse, anomalies, malware, insider risk).
• Build and maintain pipelines for data ingestion, feature engineering, model training, evaluation, and deployment.
• Apply techniques such as anomaly detection, graph analysis, NLP, and behavioral modeling to security use cases.
• Integrate AI security solutions into production systems with high reliability and low latency.
• Partner with Security, DevOps, and Platform teams to embed AI-driven protections into existing tools and workflows.
• Monitor model performance, address drift, and continuously improve detection accuracy and resilience.
• Research emerging threats and adversarial techniques, including adversarial ML, and proactively adapt defenses.
• Contribute to incident response by providing AI-based insights and automation.

Full Stack AI Engineer – Security

Backend Engineer

• Design, develop, and maintain backend services using Kotlin, ensuring scalability, performance, and reliability.
• Build and integrate systems for financial and crypto products, including wallets, exchanges, payment platforms, and blockchain-based services.
• Collaborate with product managers, designers, and engineers to define and deliver robust technical solutions.
• Participate in architectural decisions, code reviews, and continuous improvement of engineering practices.
• Ensure security, data integrity, and system resilience in highly sensitive financial environments.

Senior Software Engineer, Kotlin, Crypto

Accountant

• Own the company’s general ledger, including journal entries, accruals, reconciliations, and variance analysis
• Lead month-end, quarter-end, and year-end close processes to ensure timely, accurate financial reporting
• Prepare GAAP-compliant monthly financial statements and supporting schedules
• Reconcile balance sheet accounts monthly and maintain clear documentation and explanations
• Analyze financial results and budget variances, identifying trends and key drivers
• Support preparation of board materials, including financial statements and basic KPIs
• Ensure leadership can rely on financial data for decision-making without second-guessing
• Support revenue recognition under ASC 606, including analysis and documentation
• Partner with leadership and external advisors on accounting policy questions as needed
• Serve as the primary point of contact for the annual external audit
• Coordinate audit requests, provide documentation, and respond to inquiries
• Help establish, document, and improve internal controls and accounting processes
• Oversee AP and AR workflows, including bill coding, approvals, and payments
• Maintain fixed asset schedules and depreciation
• Improve accounting workflows and systems to support scale and efficiency

Senior Accountant

QA Automation Engineer

• Design, build, and deploy AI-powered workflows and automation agents
• Partner with AI strategy team and cross-functional stakeholders
• Prototype, validate, and deploy AI solutions
• Create documentation and train users
• Monitor and improve workflow performance

Senior Applied AI – Automation Engineer

Frontend Engineer

• Join a client’s team as a Sr. Frontend Engineer
• Build features and improve performance in applications used by customers
• Support ongoing frontend rewrite during a short-term engagement of 8-16 weeks

Full-stack Engineer

• Lead the AI-Native Transformation (Primary Focus)
• Implement your proven system for AI-augmented development (Claude Code, Cursor, Copilot, or your preferred stack)
• Redesign workflows so engineers shift from writing to orchestrating, reviewing, and shipping
• Establish quality gates, review processes, and guardrails that maintain code quality at higher velocity
• Measure and report on cycle time improvements — we want features shipping in days, not weeks
• Transform a small team (2-3 engineers) into confident AI orchestrators
• Teach prompt engineering, using plan mode to define and architect features, leverage AI- assisted debugging, and effective human-AI collaboration
• Build a culture of continuous learning as AI tooling rapidly evolves
• Hire strategically when needed, prioritizing adaptability over traditional coding credentials
• Roll up your sleeves and ship code alongside the team — lead by example, not just direction
• Jump into complex technical problems, architecture decisions, and critical bugs
• Demonstrate AI-native workflows firsthand so the team sees what "great" looks like
• Stay technically sharp — this isn't a pure management role we want you to show the team what high-agency coding looks like
• Serve as the senior technical leader — you're the final word on architecture and technical decisions
• Communicate progress and priorities to non-technical founders in business terms
• Balance speed with stability — ship fast without breaking what works
• Maintain and evolve our Rails 8 + MongoDB + Vue.js stack

Tech Lead

Data Entry

• Enter asset titles and other data into internal systems with high accuracy.
• Perform data quality checks to ensure entries meet predefined standards.
• Identify and flag records requiring additional review or correction (e.g., image issues, missing data).
• Collaborate with team members to meet daily processing targets and deadlines.
• Input and verify serial numbers and other asset identifiers as needed.