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

Lead technical execution, architecture, roadmap, and delivery for the Loyalty product. Manage and grow engineering teams, drive design and operational excellence, ensure reliability/observability, coordinate cross-team integrations, and deliver scalable multi-tenant SaaS features integrated with Zeta’s platform and AI capabilities.

Lead definition and delivery of client implementation solutions: gather and document requirements, map business needs to technology, collaborate with architects/developers, manage tickets and documentation, support QA/UAT, and act as SME to ensure successful project execution and client onboarding.

Lead the architecture and development of secure, scalable GenAI platforms, including LLM applications, agentic workflows, RAG systems, evaluation frameworks, observability, multi-tenant infrastructure, security controls, developer APIs, and deployment tooling. Optimize model performance, cost, latency, and reliability while integrating providers and frameworks such as OpenAI, Bedrock, MCP, and LangGraph. Develop software using C#, Java, JavaScript, Go, or Python.

Build and operate data platform infrastructure supporting analytics, machine learning, and AI systems. Responsibilities include developing Lakehouse and Spark systems, improving performance and reliability, implementing data quality, governance, lineage, metadata, security, and access controls, evaluating query and OLAP technologies, enhancing observability and deployment processes, supporting incident response, collaborating with data teams, contributing to open-source projects, and mentoring engineers.

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.

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

Own strategic relationships with enterprise clients using Zeta’s marketing technology platform. Develop loyalty and lifecycle marketing strategies, analyze campaign performance, guide platform adoption, lead business reviews, and identify retention and growth opportunities. Collaborate with analytics, operations, and commercial teams while translating marketing data into actionable recommendations and managing multiple client priorities.