Jobs at Prodege LLC

Qualify inbound marketing leads through structured discovery, assess fit and buying intent, generate sales-ready meetings and early-stage pipeline for Account Executives, and maintain accurate CRM records. The role requires timely follow-up, consistent achievement of meeting and pipeline targets, participation in sales training, and disciplined activity documentation in a KPI-driven environment.

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.

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 hands-on analytics and experimentation to produce actionable insights for product, lifecycle marketing, and monetization. Build segmentation, propensity scores, and statistical frameworks (Bayesian and frequentist) for A/B testing, partner with engineering to enable reliable data foundations, mentor junior team members, and translate analyses into clear business recommendations.

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.

Build and maintain BI dashboards, reporting products, trusted datasets, and scalable analytics models using Snowflake and dbt. Develop semantic models, implement KPIs, optimize SQL and reporting performance, validate data quality, and support self-service and executive reporting. Partner with cross-functional teams, improve analytics engineering practices, use AI-assisted development tools, troubleshoot reporting issues, and mentor junior analysts and engineers.

Leads quantitative market research methodology and applied statistics across custom research, tracking studies, behavioral data, and analytics. Advises on study design, sampling, weighting, statistical testing, multivariate analysis, and experimental methods; establishes analytical standards; integrates survey and behavioral data; partners with product and engineering teams; evaluates emerging methodologies; mentors researchers; and represents the company through presentations, training, publications, and industry contributions.

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 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.

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.

Own and automate AWS infrastructure with Terraform, build CI/CD pipelines in Jenkins, script operational tasks in Bash/Python/PHP, monitor and optimize MySQL and system performance, troubleshoot incidents, maintain documentation, and embed security best practices.

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.