Jobs at Viant Technology

The Technical Account Manager acts as a strategic post-sales leader, enhancing client relationships and ensuring optimal adoption of Viant's data solutions. Responsibilities include addressing client needs, facilitating solution delivery, and developing training resources.

Own Viant’s commercial product marketing system, including core narratives, agency and vertical pitches, solution modules, and sales-facing content. Partner with Sales, Product Marketing, Product, Design, and executives to improve positioning and seller productivity. Govern Highspot content, analyze usage, conduct customer interviews, synthesize Gong and field insights, and translate recurring customer needs and objections into scalable messaging, pitch materials, and enablement resources.

The Head of Industry, Travel & Tourism will drive revenue growth in the travel sector, scale brand relationships, and lead a GTM team for Viant's programmatic advertising solutions.

The Account Executive drives revenue and expands client bases by identifying new business opportunities, consulting with clients, and meeting sales quotas in the ad tech sector.

Lead and scale Viant's Financial Services vertical by growing brand-direct revenue, expanding agency adoption, and shaping go-to-market strategy. Build executive relationships with banks, insurers, fintechs and lenders, evangelize programmatic and AI capabilities, drive thought leadership, recruit and mentor sales teams, partner cross-functionally on product and measurement, and deliver against ambitious revenue and adoption goals.

Senior executive responsible for scaling Viant's CPG business by growing brand-direct demand, driving agency adoption, leading go-to-market strategy and teams, evangelizing programmatic and AI-powered solutions, building executive relationships, and partnering cross-functionally to develop retail media, measurement, and identity offerings.

Develop and productionize reinforcement learning, contextual bandit, ranking, and prediction models for real-time advertising optimization. Analyze auction dynamics, experimentation, counterfactual evaluation, and large-scale data to improve bidding, targeting, personalization, and campaign outcomes. Collaborate with engineering, science, and product teams to deploy, monitor, retrain, and evaluate high-throughput, low-latency models.

Leads the end-to-end design, deployment, and performance of real-time ML prediction and bid-optimization systems for programmatic advertising. Provides hands-on technical leadership to applied scientists and ML engineers, formulates optimization problems, manages production ML challenges such as latency, delayed feedback, drift, and retraining, and aligns technical roadmaps with business priorities.