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

Leads paid search strategy and client relationships while managing campaign execution across Google Ads, Microsoft Ads, and SA360. Oversees budgets, pacing, optimization, testing, reporting, and performance analysis; translates data into actionable recommendations and growth opportunities. Collaborates with internal teams and mentors junior staff to ensure high-quality execution and measurable client results.

Manage paid search accounts from strategy through execution, including budget allocation, targeting, pacing, bidding, testing, QA, tracking validation, reporting, and optimization. Translate client goals and campaign data into actionable plans, performance narratives, and recommendations. Collaborate with internal and external teams to deliver campaigns aligned with client KPIs.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Lead a hands-on software engineering effort for Zeta’s real-time events pipeline. Design, build, deploy, and operate high-volume event ingestion, processing, and delivery systems. Own architecture, reliability, observability, performance, cost, data quality, and on-call improvements. Collaborate with Product, Data, and downstream platform teams, define stable interfaces and SLAs, evaluate technologies, lead production launches, and mentor engineers through design and code reviews.

Lead Zeta’s AI-native Application Security function by defining strategy, building the team, embedding security agents and policy-as-code into IDEs, pull requests, CI/CD, and AI/ML pipelines, and overseeing continuous threat modeling and validation. Own security for AI systems, models, prompts, and agents, including adversarial testing for prompt injection, model abuse, and data leakage. Mentor engineers and promote automated, secure software development practices.

Leads client-facing data science and analytics initiatives, translating complex marketing and media data into actionable business narratives. Develops measurement strategies, including test/holdout incrementality, informs acquisition and retention decisions, scales analytics best practices, and manages analyst teams. Partners with Sales, Client Services, Operations, and other stakeholders while supporting predictive and adaptive AI/ML solutions. The role requires strong client communication, strategic leadership, analytics expertise, and proficiency with Python, SQL, Tableau, and related tools.

The Vice President of Enterprise Sales will engage with large enterprise clients to cultivate relationships, drive revenue growth, and ensure customer satisfaction by managing the full sales cycle and developing bespoke growth strategies.

Lead application security engineering across the SDLC using AI-assisted threat modeling, automated security testing, vulnerability prioritization, and secure-by-default controls. Partner with Engineering, Product, QA, DevOps, and AI platform teams to secure applications, APIs, cloud infrastructure, data, and AI/ML systems. Build security automation, CI/CD controls, policy-as-code guardrails, developer enablement, and proactive defenses against emerging threats such as prompt injection and data poisoning.

Drive new pipeline through strategic account planning, engagement with executives, and maintaining relationships to achieve revenue targets across enterprise sales.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.