Jobs at Prodege LLC

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.

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 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 lifecycle strategy and execution across multiple mobile game titles to drive activation, retention, engagement, and LTV. Build automated multi-channel workflows (email, push, in‑app), advance segmentation and personalization, run A/B and holdout experiments, ensure email deliverability and IP health, and partner cross-functionally with Product, Live Ops, Analytics, and Creative to scale repeatable lifecycle programs.

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.

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.

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.

Lead product strategy and roadmap for the Research Management Platform, drive commercial outcomes (growth, adoption, retention), prioritize investments, modernize workflows with automation and AI, run product operations, mentor Product Managers, and align cross-functional teams to deliver measurable business impact.

Lead design, build, and operation of end-to-end production ML systems for ranking, rewards, ROAS/LTV prediction, personalization, and offer optimization. Own feature pipelines, training, inference, experimentation, monitoring, retraining, and MLOps. Partner with Data Engineering, BI, Product, and Engineering to connect ML to business outcomes, mentor engineers, and drive an AI-first engineering culture.

Lead design and hands-on delivery of a next-generation data platform and pipelines (batch, ELT, near-real-time) powering BI, experimentation, and ML. Own platform architecture, data modeling, governance, observability, and mentor engineers while modernizing legacy systems and driving AI-first data engineering practices across cross-functional teams.

Lead and coach a project management team delivering quantitative online market research. Drive operational excellence, quality assurance, process automation, vendor coordination, cross-functional stakeholder communication, budgeting/gross-margin awareness, training, and support sales scoping. Ensure team performance, compliance, and scalable delivery across US and offshore operations.

Lead processing of survey data into cloud analysis tools, build dashboards and visualizations, train and support clients, collaborate across teams, and deliver high-quality work to meet project objectives and deadlines.

Lead architecture modernization of large Java backend systems, decompose monoliths into modular services, improve performance, scalability, reliability, and observability, mentor engineers, define pragmatic architecture roadmaps, and champion responsible AI-assisted development and engineering best practices.