Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Design and build backend services and APIs for identity resolution and graph integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS/Kubernetes with Helm, and ensure reliability, observability, and scalability. Collaborate across engineering, product, and data teams while mentoring junior engineers and advancing distributed identity platform architecture.

Design, build, and operate Zeta’s high-volume real-time events pipeline. Lead event-streaming architecture and production launches, evaluate technologies, define downstream contracts, mentor engineers, translate SLAs into reliable systems, and improve observability, alerting, on-call processes, performance, cost, data quality, and incident response.

Leads application security engineering across the SDLC by applying AI-assisted threat modeling, security validation, vulnerability management, and automated controls. Integrates security testing into CI/CD pipelines, develops secure-by-default patterns and policy-as-code guardrails, monitors application, cloud, API, data, and AI/ML threats, and guides remediation. Partners with Engineering, Product, QA, DevOps, and AI platform teams to improve security maturity, developer enablement, and proactive defense.

Lead and architect Zeta’s AI-native Application Security function. Define strategy, build and mentor the team, embed security agents and guidance into IDEs, pull requests, CI/CD, and AI/ML pipelines, and implement continuous threat modeling, risk scoring, policy enforcement, and AI-specific adversarial testing. The role also owns security strategy for AI systems, models, prompts, and agents while enabling engineers to design secure AI-native systems.

Lead the strategy, architecture, and governance of the Agentic Apps Framework for Zeta's AI platform. Define app lifecycle standards, ensure enterprise-grade design, and create governance models for AI-driven applications, collaborating across teams to align product strategy.

Lead end-to-end Application Security product and program: set strategy and roadmap, build AI-assisted threat modeling and code-evaluation surfaces, drive CI/CD enforcement, vulnerability prioritization and remediation, establish governance and SLAs, align with engineering and execs, and scale Security Champions and automated workflows.

Design and build backend services and APIs for identity resolution while developing workflows for handling massive data volumes and mentoring junior engineers.

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.

Lead programmatic analytics for clients and internal teams by analyzing campaign and model performance, designing tests, developing measurement solutions, recommending optimizations, and presenting actionable insights. Partner with Sales, Customer Success, Product, Engineering, and clients to align marketing strategies, reporting requirements, and optimization efforts with business goals.

Manage paid search accounts by translating client goals into channel plans, budgets, targeting, measurement, and testing roadmaps. Lead campaign execution, pacing, optimization, QA, tracking validation, and reporting across Google Ads and related platforms. Deliver performance narratives and business recaps, convert data into actionable recommendations, coordinate internal and external partners, and identify opportunities to improve campaign and client outcomes.