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Lead commercial expansion in Japan by building pipeline, closing programmatic advertising deals with agencies/brands, developing strategic partnerships, and collaborating cross-functionally to meet revenue targets while representing StackAdapt in-market.

Design, build, and maintain integrations and automations between internal systems and third-party platforms (ERP/finance). Collaborate with stakeholders, use iPaaS tools and API standards, perform code reviews, participate in on-call rotation, and deliver well-tested integration projects on schedule.

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.

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.

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.

As a Quality Engineer at StackAdapt, you will develop automated tests, collaborate with teams on CI/CD deployment, and enhance software quality across various testing types.

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 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.

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.