Top AdTech Jobs in San Francisco, CA

The Staff Software Engineer will lead the architecture and development of high-volume AdTech systems, integrating AI and data solutions while mentoring engineers and driving best practices.

The Senior Product Manager will lead LLM Operations, focusing on agent chaining, model orchestration, and developing user-friendly tools for marketers.

The Senior Site Reliability Engineer will enhance system reliability, develop production-grade code, implement observability tools, conduct root cause analyses, and collaborate on system design for scalability.

Lead backend engineering for a consumer mobile product: design, build and own Rust-based microservices, define APIs and data models, coordinate with mobile teams, drive architecture and execution, and raise engineering standards across backend and mobile codebases.

The VP of Product leads product strategy, execution, and team development, focusing on AI tools and marketing science to drive business impact.

The Senior Security Engineer will establish secure software development standards, conduct security assessments, and develop security tools while fostering a security-conscious culture across teams.

Join Adswerve's talent community for Adobe experts, focusing on data consultancy and digital marketing optimization for clients.

Search Media Buyers manage paid search media investments, build and optimize campaigns, analyze performance, and collaborate with cross-functional teams to achieve client goals.

The Enterprise Sales Director will convert sales opportunities, build client relationships, conduct research, manage the sales cycle, and ensure client satisfaction while traveling up to 20% for business development.

As an Associate Solutions Engineer at Acquia, you'll provide technical solutions to customers, develop product knowledge, and bridge communication between sales and engineering teams.

The Senior Account Executive drives business development through strategic relationships and sales of advertising solutions, aiming to achieve revenue goals and enhance client engagement.

Lead AI/machine learning innovations and advanced analytics for new vehicles. Develop statistical models for pricing and valuation, guiding experiments and communicating insights.