- Locations
- Remote
- United States
- Last Published
- Jul. 17, 2025
- Sector
- Media
- Function
- IT
Company at a Glance OpenX is focused on unleashing the full economic potential of digital media companies. We do this by making digital advertising markets and technologies that are designed to deliver optimal value to publishers and advertisers on every ad served across all screens. At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising. OpenX is seeking a highly capable and entrepreneurial Lead Exchange Optimization Analyst to join our core team focused on improving the efficiency, performance, and monetization of our global programmatic exchange. This role is ideal for someone who thrives in data, is fluent in advanced SQL, and has a passion for uncovering optimization opportunities across billions of bid requests each day. You will work hands-on with rich datasets to diagnose inefficiencies, test hypotheses, and drive measurable improvements that benefit DSPs, publishers, and OpenX. While not a formal data science team, we deeply value analytical rigor and statistical thinking—and are looking to strengthen our bench with someone who brings that mindset to the table. The ideal candidate is relentlessly curious, comfortable pivoting complex data, and excited to explore the inner workings of one of the largest ad exchanges in the world. You’ll play a key role in shaping how the exchange evolves to serve a more dynamic, data-informed, and value-driven ecosystem. You’ll be empowered to go beyond just surfacing insights—your work can directly translate into action. Analysts on our team not only identify inefficiencies but also design and launch live experiments to validate improvements. When successful, those changes can be shipped to production in a matter of hours—shaping how billions of requests are processed across the exchange. Your ability to connect business understanding with data-driven execution will be critical to driving meaningful impact at scale. Our analytics stack is fully cloud-based, giving us scalable access to both raw logs and curated data views. Whether we’re debugging at the request level or analyzing patterns across weeks of exchange traffic, querying billions of records takes seconds. This speed and flexibility empower us to move quickly from hypothesis to insight to action.
Key Responsibilities:
- Analyze large-scale exchange data (bid requests, impressions, wins, revenue) to surface actionable insights and optimization opportunities
- Design, execute, and evaluate experiments that test hypotheses around traffic shaping, bid filtering, pricing floors, or other monetization levers
- Develop and maintain dashboards and recurring reports in SQL and BI tools like Looker to monitor key exchange metrics and alert on anomalies
- Partner closely with product, engineering, and data science teams to refine exchange logic and build smarter systems for request routing, deal handling, and QPS allocation
- Work collaboratively across demand and supply teams to identify bottlenecks, inefficiencies, and growth opportunities
- Serve as an internal subject matter expert on bid request data quality, ad decisioning paths, and exchange performance drivers
- Translate complex data findings into clear narratives and strategic recommendations for cross-functional stakeholders
Qualifications:
- 7+ years of experience in analytics, data operations, or optimization within a high-scale programmatic environment (SSP, DSP, or ad exchange)
- Expert-level SQL skills, especially in BigQuery or a similar large-scale data platform
- Strong background in data analysis, statistics, or experimentation—able to interpret noisy signals and guide decision-making with evidence
- Proven ability to break down complex systems, identify optimization levers, and implement data-driven strategies
- Demonstrated ability to manipulate, aggregate, and pivot large datasets for insight discovery
- Familiarity with OpenRTB, programmatic auction mechanics, and bidstream signals
- Clear communicator who can articulate technical findings to product managers, business leads, and engineers alike
Preferred Skills:
- Analytics & Data Exploration
- Skilled in pivoting, aggregating, and slicing large datasets to identify patterns and anomalies
- Comfort with (and thrill of) exploratory data analysis and ad hoc and ongoing investigations in SQL-based environments
- Relentlessly curious about testing new ideas and concepts
- Strong ability to summarize and synthesize trends, findings and test results
- Experience with Excel/Google Sheets pivot tables, vlookups and other advanced features
- Advanced proficiency with Looker (or equivalent), including dashboard building
Programmatic Advertising Expertise:
- Familiarity with OpenRTB specifications, bid request/response structure, and auction flows
- Understanding of SSP/DSP mechanics, including campaign delivery, win rates, QPS and traffic shaping
- Exposure to supply path optimization (SPO) concepts, ad quality signals (e.g., bcat, badv), and deal types
- Basic knowledge of identity frameworks (cookies, IPs, UID2, etc.) and how they impact optimization
- Awareness of request filters, throttling, floor pricing, traffic sets, and other monetization levers
Technical Proficiency:
- Heavy (expert level) SQL + to drive ideas to experimentation to analysis
- Comfort with BigQuery or similar large-scale analytics platforms (e.g., Snowflake, Redshift). Strong understanding of joins, UDFs, subqueries, CTEs, and performance tuning
- Familiarity with structuring analytical pipelines for analysis, learning and reporting
- Comfortable with scripting in Python, particularly for:
- Lightweight ETL or automation
- Statistical analysis (e.g., pandas, numpy, scipy)
- Bonus: Exposure to Airflow, GCP Dataform
Attitude & Mindset:
- Entrepreneurial problem-solver who thrives in ambiguity and complexity
- Strong ownership mentality—sees problems through from insight to resolution and iteration
- Naturally curious, with a bias for action and experimentation
- Comfortable operating in lightly structured environments and building frameworks from scratch
- Thrives in a fast-paced, high-scale setting, balancing speed and rigor
- Communicates clearly and concisely with both technical and non-technical partners
- Eager to challenge assumptions and improve systems—even when that means breaking status quo
- Operates as a strategic partner, not just an analyst—constantly thinking about levers, constraints, and tradeoffs
We offer:
- A high-scale, cloud-native environment with full access to raw logs and preprocessed data views
- Sub-second query performance across billions of records using modern, scalable infrastructure
- End-to-end ownership: identify opportunities, run online experiments, and deploy successful changes to production within hours
- A culture that values business context, self-agency, and fast iteration over rigid process
- The chance to directly shape how one of the largest ad exchanges in the world operates, in real time