• Lead National Pricing & Quoting Strategy • Own national pricing programs for data center grey space projects across multiple regions • Develop and manage detailed quotes for large-scale electrical scopes • Build standardized pricing models, labor assumptions, and BOM structures • Partner with manufacturers to negotiate pricing, rebates, and supply agreements • Ensure competitive positioning while maintaining margin expectations • Act as a senior point of contact for national data center customers and contractors • Support pre-bid meetings, scope alignment, and high-level customer discussions • Guide internal teams on pricing strategy and technical requirements • Collaborate with field teams and operating companies to support project delivery • Provide technical guidance on material selection and substitutions • Troubleshoot supply chain, logistics, and coordination challenges • Drive Vendor Strategy & Standardization • Promote standardization of materials across projects and customers • Identify value engineering and prefabrication opportunities • Support long-term vendor relationships aligned with growth

• Stay up-to-date with best practices and technologies related to data acquisition and web scraping. • Generate data analyses based on captured data or data provided in databases. • Process captured data and make it available for consumption in development and production data stores. • Assist in maintaining and continuously improving data normalization and delivery pipelines. • Perform performance analyses regarding the data being captured and/or made available. • Develop Python scripts to perform web scraping of specific websites as requested by commercial or business teams. • Review the production queue to identify the next site to be mapped, create the corresponding script, test it in the development environment, and validate the collected data. • Collaborate with other areas of the company to understand data needs and ensure acquired datasets meet established requirements. • Validate acquired data to ensure quality and consistency, correcting any errors or inconsistencies identified. • Connect to AWS servers to perform data captures. • Drive continuous improvement of data acquisition processes to increase efficiency and data quality. • Receive and distribute acquisition requests among the team. • Create reports on the progress of requests handled by the acquisition team. • Assist in the development of the acquisition team. • Conduct training for members of the acquisition team.

• Own the measurement science behind Audiohook's performance audio advertising platform • Design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers • Collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn't just statistically sound but operationally useful • Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions • Develop and validate predictive models that improve campaign performance and platform efficiency • Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality • Partner with Sales and Customer Success on measurement studies for priority accounts and renewals • Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data • Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats • Communicate clearly and proactively in a remote-first environment

• This role centers on the implementation and optimization of a MarTech data flow pattern involving Snowflake, Segment, Braze, and other SaaS platforms • Design and maintain data pipelines between Snowflake, Segment CDP, Braze, and additional platforms • Implement real-time and batch data ingestion strategies • Manage customer event tracking and identity resolution within Segment • Orchestrate personalized marketing campaigns in Braze using dynamic segmentation and behavioral triggers • Ensure data integrity and feedback loops from Braze back into Snowflake via Segment • Automate data transformations and enrichment using scripting languages • Monitor system performance and troubleshoot integration issues across platforms