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Serve as the primary contact for enterprise clients, drive adoption of the StackAdapt platform, manage and optimize multi-channel programmatic campaigns, lead RFPs and proposals with Account Executives, identify upsell and expansion opportunities, deliver reporting and strategic optimizations, and run client meetings, QBRs, and trainings.

Manage a portfolio of enterprise clients post-sale, design and optimize programmatic campaigns on the StackAdapt DSP, provide reporting and strategic recommendations, lead client meetings and QBRs, troubleshoot tags/pixels, drive retention and upsell opportunities, and travel up to 20%.

The Account Executive, B2B will focus on driving new programmatic advertising revenue through prospecting, pitching, and building relationships with brand-direct advertisers within the B2B sector.

The Account Executive will focus on driving new programmatic advertising revenue by building relationships, generating business, and managing a strong pipeline in the eCommerce vertical.

The Sales Manager will identify and close programmatic advertising deals, managing client relationships to grow existing accounts and presenting campaign strategies.

Lead development and scaling of vertical-specific programmatic adtech and martech solutions. Query and analyze large datasets, support RFPs and revenue teams, run POCs, and collaborate with product, engineering, data science, and sales to operationalize targeting, measurement, and performance solutions.

Manage end-to-end execution and optimization of programmatic campaigns across channels (Native, Display, Video, CTV, Audio, DOOH). Perform trafficking, QA, pixel implementation, in-platform trading, pacing and budget optimizations, monitor performance, produce insights, support client communications, and contribute to scalable processes and platform best practices.

Lead the development and optimization of machine learning algorithms, owning the end-to-end model development and collaborating with Data Engineers for integration into live systems.

The role involves designing scalable data pipelines, implementing custom ML algorithms, and working on microservice architectures for ad optimization models.

Design, prototype, and implement ML algorithms to maximize advertising ROI. Write production code, test models on historical data, iterate on solutions, and collaborate with data engineers to deploy scalable pipelines.