Jobs at Prodege LLC

Manage and grow client accounts in the market research industry through consultative selling, relationship building, upselling, forecasting, and pipeline development. Advise clients on research projects, collaborate with global operations, technology, and product teams, maintain CRM activity records, and meet sales targets. The role requires strong communication, analytical, organizational, and multitasking skills, with monthly client travel of up to 50%.

Leads advanced quantitative market research from client discovery through study design, analysis, interpretation, and recommendations. Establishes methodological and data-quality standards; designs segmentation, MaxDiff/conjoint, pricing, experimental, and longitudinal studies; evaluates sampling, weighting, statistics, and respondent quality. Leads senior client discussions, translates findings into business implications, partners with technical and execution teams, evaluates emerging research methods, and mentors researchers and analysts.

Lead the architecture, development, and modernization of Prodege’s large-scale data platform. Build batch, ELT, streaming, and near-real-time pipelines supporting BI, experimentation, product analytics, machine learning, and AI applications. Establish data modeling, governance, observability, schema management, and data contract standards across Snowflake, dbt, Iceberg, Trino, and Kafka. Drive technical implementations, optimize performance and cost, mentor engineers, and partner with cross-functional teams to deliver reliable, scalable data 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.

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.

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.