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

Leads business operations for Cisco’s Americas Hyperscale and AI Sales organization. Responsibilities include cross-functional planning, large-deal approval, go-to-market strategy, lifecycle optimization, market and portfolio planning, account penetration, change management, and technical program management. Partners with executive leadership, Finance, Legal, Supply Chain, Business Units, and strategic enterprise customers to accelerate deal execution and support long-term growth.

Leads the technical strategy and market adoption of Cisco’s AI Platform, including AI Canvas and AI Studio. Develops agentic workflows, MCP servers, and agentic harnesses; creates technical marketing collateral; advocates for AI-driven network operations; aligns AI capabilities with network and security infrastructure; and collaborates with engineering, sales, product marketing, and enterprise customers.

Designs and builds distributed AI-native cybersecurity systems that process security telemetry, correlate detection signals, predict threats, and generate explainable alerts. Develops AI features, agentic development workflows, AIDevOps pipelines, data platforms, and retrieval-augmented generation capabilities. Partners with security researchers, subject matter experts, product teams, and engineers to deliver scalable analyst workflows and trusted security automation. Requires strong distributed systems, storage, data platform, Python or Go, DevOps, and cybersecurity engineering experience.

Leads Americas Sales Operations as a strategic partner to sales leadership. Oversees forecasting, pipeline health, territory and account planning, quota and capacity planning, business reviews, GTM execution, and revenue analysis. Manages and develops Sales Operations staff while collaborating with Sales, Finance, Strategy, Legal, Deal Desk, Accounting, Salesforce, and global operations teams. Drives process improvements, governance, data integrity, sales productivity, and seller experience.

Architects and operates petabyte-scale telemetry ingestion, processing, and storage systems. Builds resilient distributed systems and data pipelines using streaming or batch frameworks in Kubernetes. Establishes observability with ELK and Grafana, collaborates across engineering teams, and applies AI-assisted tools to improve development, security, validation, and operational reliability.

Leads wireless firmware performance engineering for Cisco Meraki access points. Responsibilities include resolving functional and performance regressions, developing 802.11 features, optimizing data-plane components, analyzing bottlenecks, creating tests and triage processes, and leading features from technical design through delivery. The role requires deep expertise in C or C++, Wi-Fi drivers, embedded Linux, networking protocols, packet analysis, and performance optimization.

Senior software engineer leading backend and platform architecture across cloud and on-premises deployments. Responsibilities include developing scalable distributed systems, optimizing databases and queries, owning technical roadmaps, resolving production issues, improving security and observability, mentoring engineers, and partnering with product, architecture, UX, cross-functional teams, and customers. The role focuses on security monitoring, threat detection, compliance workflows, and reliable data-processing services.

Lead Cisco Networking’s AI/ML product strategy, roadmap, and scalable data platform. Manage and mentor product managers, collaborate with engineering, design, go-to-market, and Cisco’s Central AI team, and engage enterprise customers to develop innovative AI-driven networking and assurance capabilities.

Leads hardware engineering strategy, architecture, design, validation, testing, and issue resolution for complex Cisco hardware products. Coordinates cross-functional teams, drives projects from technical design through completion, ensures compliance with Cisco and industry quality standards, optimizes product designs, supports production and deployment, and mentors engineers while promoting technical knowledge sharing.

Design and build AI-powered cybersecurity platforms that ingest and normalize massive security telemetry, correlate events, predict threats, and generate explainable findings. Develop Python backend services, distributed storage systems, and AIDevOps pipelines for rapid experimentation. Integrate foundation models, agentic systems, RAG, embeddings, and graph-based models into analyst workflows. Collaborate with product teams, security experts, and engineers to deliver scalable, trusted threat detection and automation capabilities.