Jobs at Prodege LLC

Design, build, and maintain automated test suites and frameworks for web apps and APIs. Embed quality across the SDLC, run CI/CD validation, perform performance/security testing, analyze results, support releases, and mentor engineers on automation best practices.

Manage a portfolio of publisher accounts to support performance, retention, and revenue goals. Execute day-to-day account tasks, monitor campaign performance, communicate with partners and internal teams, identify trends, follow processes, and collaborate cross-functionally while building publisher strategy and monetization knowledge.

Produce actionable insights through statistical analysis, experimentation, and behavioral modeling to optimize lifecycle marketing, segmentation, pricing, and monetization. Partner with stakeholders, Analytics Engineering, and ML teams to define data foundations, design A/B tests, build propensity and scoring models, document learnings, and mentor junior analysts. Incorporate agentic analytics to automate recurring analyses.

Lead a centralized bid support and proposal function within Revenue Operations, overseeing end-to-end proposal delivery, feasibility validation, cross-functional deal support, and onshore/offshore team management. Drive process standardization, automation, CRM tracking, and performance metrics to improve win rates and ensure smooth onboarding and transition to delivery. Serve as escalation point for complex, high-value opportunities and coach teams to maintain quality and efficiency.

Design, build, and maintain scalable ETL pipelines and data models for analytics and ML. Ensure data quality, optimize performance, enforce governance and security, and collaborate with stakeholders to deliver reliable, production-ready data for reporting and data science.

Build responsive, high-performance front-end UI using React and Next.js. Convert designs to accessible, maintainable HTML/CSS/JS, write unit and integration tests, debug cross-browser issues, optimize performance, collaborate with back-end and designers, participate in code reviews, document changes, and help plan project deliverables.

Lead business-focused data science by performing rigorous analysis, experimentation, and modeling to drive lifecycle marketing, product, and monetization decisions. Build segmentation, propensity scores, and experimentation frameworks; collaborate with analytics engineering and ML teams to produce reliable features and reusable insights; mentor junior staff and document learnings to scale agentic analytics and measurement practices.

Lead a global consumer support organization to deliver member-first service by optimizing Zendesk, AI-driven automation, and self-service. Drive operational excellence through KPI ownership, governance for credits/escalations, voice-of-member insights, cross-functional influence, quality programs, and workforce planning to improve CSAT, deflection, SLA performance, and cost-to-serve.

Architect and scale a governed BI and analytics platform (Snowflake, dbt, Sigma) to deliver trusted, standardized KPI frameworks and semantic layers. Build high-quality data models, optimize SQL for large datasets, enable self-serve analytics, mentor engineers, drive governance and testing standards, and partner with Product, Data Science, Finance, and business teams. Promote AI-assisted tooling to accelerate analytics delivery and improve metric trust and reporting consistency.

Design, build, and maintain version-controlled workflow automations and API integrations between CRMs and external systems. Implement testing (Playwright), error handling, monitoring, and robust debugging. Convert automations into GitHub repositories, write Node.js custom logic, optimize performance, ensure security/compliance, document workflows, and prepare the automation stack for LLM/AI integration.

Design, implement, and operate scalable backend services in Scala/Java. Improve reliability, performance, and observability. Own features end-to-end, strengthen APIs and data contracts, integrate ML/LLM capabilities safely, enforce testing and engineering standards, mentor peers, and support incident response and deployment readiness.

Lead design, development, and deployment of production-ready ML/AI systems using Python, PyTorch, LLMs and related tools. Drive model research, tuning, monitoring, cross-functional integration, and mentor junior engineers while prioritizing practical business impact.

Design, build, and maintain scalable full-stack applications and distributed microservices using Golang and modern front-end frameworks. Optimize relational data models and queries, implement event-driven services (Kafka), improve CI/CD and observability, perform code reviews, mentor engineers, and collaborate with Product, QA, DevOps, and Infrastructure to ensure reliable, secure, and performant systems.

Lead and develop multiple engineering teams responsible for backend, platform, and data systems. Drive architecture, delivery execution, reliability, observability, incident response, and cross-functional alignment to ensure scalable, maintainable, and high-performing distributed systems.

Lead and grow the product design team for Prodege's consumer and B2B products. Own design vision, systems, and quality; hire and mentor designers; drive user-centered research, accessibility, and A/B testing; partner with Product, Engineering, Data, and Marketing to connect design to activation, engagement, retention, and revenue metrics.

Lead architecture and technical direction for core Scala/Java systems, drive cross-team delivery, improve reliability and performance, standardize platform patterns and tooling, embed secure-by-design practices, mentor senior engineers, and advance AI-first engineering workflows. Collaborate with global teams and support occasional international travel.

Manage day-to-day publisher accounts, monitor performance, support reporting and communications, identify trends and risks, follow processes, and collaborate cross-functionally to retain and grow partnerships. Must be fluent in Japanese.

Own end-to-end delivery of medium-complexity backend features: design, implement, test, deploy, and support secure, performant RESTful APIs and database solutions. Improve performance, observability, CI/CD, and incident readiness; mentor junior engineers and collaborate cross-functionally to align solutions with business goals.

Collaborate with development and QA to implement DevOps best practices: containerization (Docker), IaC, and CI/CD pipelines. Assist managing scalable cloud-native infrastructure (pref. AWS), enhance monitoring/logging, automate deployments, and improve release velocity through scripting and configuration management.

Lead design, development, and deployment of production-grade ML/AI systems. Build, fine-tune, and monitor models (including LLMs and transformers), collaborate cross-functionally, mentor engineers, and optimize model performance and integration for scalable business impact.