Prodege, LLC

SDET

• Design, develop, and maintain automated tests for web applications and services that expose HTTP or RPC API endpoints.
• Partner closely with engineers and product teams to embed quality into every phase of the SDLC.
• Drive continuous integration and deployment testing to streamline release cycles.
• Identify and resolve performance, scalability, and reliability issues through automated validation.
• Provide mentorship and support to developers and QA team members on automation best practices.
• Ensure compliance with security, privacy, and industry quality standards.
• Develop strong domain knowledge, and regularly access/communicate value and risk with test cases.

Senior SDET

Database Administrator

• Oversee the stability, security, and performance of MySQL databases across production, staging, and development environments.
• Implement database changes and schema migrations through disciplined processes and tools like Liquibase.
• Analyze, optimize, and tune SQL queries, schemas, and processes for maximum efficiency.
• Partner with developers and DevOps teams to design scalable, performant database architectures and troubleshoot issues.
• Implement automation, monitoring, and backup/recovery strategies to ensure business continuity.

MySQL Database Administrator

Manager

• Lead and Develop a High-Performing Project Management Team: Oversee the day-to-day operations and expected pace of your team of Project Managers.
• Cultivate and Nurture Strategic Client Relationships: Serve as the primary operational point of contact for our most strategic accounts.
• Ensure Flawless End-to-End Project Execution and Operational Excellence: Drive the successful execution of market research projects from inception through final delivery.
• Drive Continuous Improvement and Innovation in Project Delivery: Champion the refinement and development of processes, methodologies, and technological approaches to enhance efficiency, quality, and client value in project delivery.

Manager, Research Solutions

Project Manager

• manage the full lifecycle of complex market research projects—from scoping, design, and fieldwork through delivery, debriefs, and invoicing—ensuring accuracy, timeliness, and quality.
• provide exceptional client service by acting as a trusted partner, maintaining strong relationships, meeting objectives, and offering strategic recommendations that drive repeat business.
• apply advanced knowledge of quantitative and qualitative methodologies, ensuring projects are designed and executed with methodological rigor and industry best practices.
• partner with internal teams and third-party vendors to align on deliverables, delegate tasks, and guarantee excellence in execution and delivery.
• anticipate, troubleshoot, and resolve project challenges (e.g., scope creep, quality risks, timeline delays), escalating and communicating effectively to protect client satisfaction and project success.
• support the growth of junior and global staff by mentoring, coaching, and modeling best-in-class project management behaviors, fostering a collaborative and learning-focused culture.
• deliver clear and actionable reporting on project metrics, fieldwork performance, and client needs to both internal stakeholders and external partners.

Senior Project Manager, Research Solutions

Machine Learning Engineer

• Drive AI initiatives by designing, building, and deploying advanced ML solutions
• Lead complex projects and mentor peers
• Collaborate with global teams to deliver production-ready AI/ML systems
• Develop and implement advanced AI/ML solutions aligned with strategic company goals
• Lead the research, development, and deployment of sophisticated AI/ML models using Python and various libraries
• Monitor and optimize model performance on a regular basis

Senior Machine Learning Engineer

Data Scientist

• Own A/B testing frameworks, uplift modeling, and causal inference methods to rigorously evaluate the true impact of models
• Lead the design, development, and productionization of machine learning models for ranking, pricing, and personalization
• Oversee the design, delivery, and continuous improvement of business intelligence reporting and dashboards
• Guide feature engineering efforts from event-level auction data and user engagement signals to maximize model performance
• Convert business objectives into experimentation plans, model KPIs, and measurable outcomes that drive P&L impact
• Partner with Product, Engineering, and Analytics leaders to embed data science into business decision-making
• Lead, mentor, and scale a high-performing data science team, fostering innovation, technical excellence, and business alignment
• Present findings, model performance, and experimentation outcomes to executive leadership and stakeholders.

Technology Leader – Data Science

Full-stack Engineer

• Design, develop, and maintain scalable and reliable backend services for our market research platform
• Collaborate with product managers and other engineers to translate product requirements into technical specifications
• Implement and optimize our backend infrastructure leveraging technologies like Scala, Play, Kafka, Postgres, Druid, Spark, Flink, Redis, and EhCache
• Write clean, maintainable, and testable code adhering to best practices
• Conduct thorough testing to ensure the quality and reliability of our backend systems
• Optimize performance and scalability to handle the increasing volume of data and user traffic
• Stay up-to-date with the latest trends and technologies in the backend development landscape

Software Engineer

Product Manager

• Define, prioritize, and deliver the product roadmap for yield optimization initiatives
• Drive measurable revenue uplift by aligning product features and strategy with financial outcomes
• Apply deep knowledge of mediation, in-app bidding, and auction dynamics to optimize platform performance
• Partner with executives, engineering, data science, sales, and account management teams to align product strategy with business goals
• Set a long-term product vision while ensuring delivery of near-term milestones
• Stay ahead of industry trends and competitor moves to maintain product differentiation
• Own the product vision, roadmap, and execution for the Yield Engine, aligning closely with business, data science, and engineering teams
• Drive innovation in mediation, in-app bidding, dynamic auctions, and pricing models to maximize yield and advertiser ROI
• Define and prioritize product initiatives that directly tie to revenue outcomes and margin expansion
• Partner with ML and BI teams to build data-driven optimization models and define clear success metrics
• Deliver incremental value through MVPs and agile releases, while balancing long-term vision with short-term wins
• Collaborate with commercial and marketing teams to ensure product capabilities align with market demand and partner needs
• Act as the voice of yield optimization across the organization, educating stakeholders and influencing executive decisions