The People Operations Manager will manage the full employee lifecycle, serve as a contact for employee issues, and lead HR programs and compliance.

Support day-to-day accounting operations, process transactions, prepare month-end closes, assist in audits, and collaborate with the finance team.

The ML Ops Engineer will enhance ML infrastructure by productionizing models, implementing CI/CD, ensuring observability, and collaborating with data scientists to improve ML workflows.

Analyze revenue and growth performance, provide insights on auction behavior, measure A/B tests, define KPIs, and perform root-cause analysis.

The Senior Data Scientist will develop scalable ML models, analyze large datasets for insights, and collaborate with teams to enhance business performance through data-driven solutions.

The Senior Talent Acquisition Specialist will own full-cycle recruiting, partner with leadership, develop job descriptions, manage candidate pipelines, and ensure a quality candidate experience while maintaining ATS data.

The Client Success Manager will manage client campaigns, optimize performance, analyze data, build relationships, and drive retention for long-term growth.

The Account Executive will drive sales for Mid Market clients by identifying leads, managing relationships, conducting negotiations, and collaborating with internal teams to meet client needs and achieve sales targets.

The Account Executive, Partnerships drives full-cycle sales for acquiring new retail media network partners by managing leads, negotiations, and relationships while collaborating with cross-functional teams.