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Manage post-sale client relationships and campaign performance on the StackAdapt DSP. Design and optimize programmatic campaigns, implement tags/pixels, provide reporting and strategic recommendations, run QBRs and trainings, identify upsell opportunities, and travel up to 20% to support client success and account growth.

Sell and grow programmatic advertising business to local agencies and brands. Manage client relationships, build pipelines and pitch decks, close new deals, and collaborate with Account Managers and product teams to expand and retain accounts.

Lead people analytics by building end-to-end models and production data pipelines, designing dimensional models, and creating LLM/NLP solutions. Translate statistical outputs into executive-ready insights, develop automated dbt/Snowflake workflows and dashboards, partner with HR systems owners and the enterprise data office, and enforce data governance and privacy for People data to support strategic workforce decisions.

Lead end-to-end integrated marketing campaigns and a virtual events/webinar program to drive pipeline and awareness. Own webinar operations (BigMarker), campaign planning, cross-functional project management, KPI tracking (MQLs, SQLs, pipeline), post-campaign analysis, and G2 review amplification to optimize performance and engagement.

Manage client relationships for large B2B brands, oversee campaign management, drive platform adoption, and identify expansion opportunities. Collaborate with teams to maximize ROI and optimize advertising campaigns.

Lead quality strategy and testing for LLM-powered and agentic systems. Design evaluation frameworks, build scalable automated test suites, define quality metrics, integrate tests into CI/CD, mentor QE org, and partner with cross-functional teams to ensure release readiness for AI products.

Manage enterprise client relationships, drive adoption of the StackAdapt platform, design and optimize programmatic campaigns, oversee trafficking and tag/pixel implementation, lead RFPs and proposals, identify upsell opportunities, deliver reporting and strategic recommendations, and run in-person and virtual client meetings and QBRs.

Build and maintain highly scalable, low-latency microservices in Go to ingest, process, and manage user profile and audience data. Implement event-driven systems with Kafka, work with distributed stores (ScyllaDB, TiDB, Redis), optimize performance and memory, and collaborate with Product, ML, Data, and Infrastructure teams.

The Programmatic Account Manager will oversee client relationships, design campaign strategies, optimize advertising performance, and identify upselling opportunities. Responsibilities include reporting, strategic advisory, and interacting with clients for successful campaign execution.

The Applied Machine Learning Scientist will innovate and implement ML algorithms to enhance advertising performance, collaborate with engineers, and prototype in data-driven models.