Jobs at Prodege LLC

Lead design and implementation of a next-generation lakehouse data platform and high-scale batch/near-real-time pipelines. Own platform architecture, data modeling, governance, observability, and delivery to support BI, experimentation, and ML. Provide hands-on technical leadership, mentor engineers, and drive modernization toward an AI-first data engineering practice.

Senior IC Product Manager owning engagement and retention for consumer reward products (Swagbucks, MyPoints, InboxDollars). Diagnose habit and early-churn problems, build habit-forming mechanics (streaks, quests, referrals), set squad roadmap, lead cross-functional partners by influence, design and run experiments to measure behavior change, and communicate outcomes to leadership while balancing member value, reward cost, and revenue.

Build, deploy, and operate production ML systems (recommendation, ranking, personalization, optimization). Own feature engineering, training pipelines, online inference, experimentation, monitoring, retraining, and MLOps. Partner cross-functionally, mentor engineers, and deliver measurable business outcomes on a large-scale data platform.

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.

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 design, build, and operation of end-to-end production ML systems (feature pipelines, training, inference, experimentation, monitoring) for ranking, recommendation, rewards, ROAS/LTV prediction, personalization, and offer optimization in a high-scale AdTech environment. Provide hands-on technical leadership, mentor engineers, drive MLOps and observability standards, and partner with Data Engineering, BI, Product, and business teams to connect models to outcomes.

Lead architecture, build, and operate Prodege's high-scale data platform including batch, ELT, and near-real-time streaming pipelines. Deliver Medallion-modeled data, governance, lineage, observability, and feature/ML data infrastructure. Drive platform standards, optimize performance and cost, and mentor teams while partnering with product, analytics, and ML groups to enable analytics, experimentation, and AI-driven applications.

Lead end-to-end supply strategy for a global marketplace, optimizing panel and partner delivery, forecasting demand, improving routing and unit economics, and partnering with product, engineering, sales, and finance to scale profitable supply operations.

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 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.

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.

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 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 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.