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

Designs and tests complex networking and infrastructure lab environments, including routing, switching, data center fabrics, overlays, SD-WAN, wireless, virtualization, compute, and storage. Scopes customer requirements, develops architectures, test plans, documentation, and service proposals, and supports winning sales opportunities. Builds OEM, partner, and customer relationships; contributes to business development and technical marketing; mentors junior architects; and evaluates emerging networking technologies for proof-of-concept and lab-as-a-service engagements.

Lead AI product vision and roadmap to deploy enterprise copilots, workflow agents, and automation. Identify and prioritize use cases, run POCs, scale solutions, measure adoption and ROI, ensure governance and security, and drive cross-functional delivery with PMO, engineering, and business stakeholders.

Lead UX and UI design across web, mobile, desktop, internet, and intranet software products. Conduct user research, usability testing, and concept validation; mentor designers and establish UX best practices. Create accessible, high-fidelity designs and functional prototypes using Figma and agentic coding tools. Maintain and expand the Blue Steel design system, collaborate with engineering on coded components, and communicate design recommendations to stakeholders.

Drives sales and delivery of ATC software, lab, and technology services. Leads customer and partner engagement from demand generation and pre-sales presentations through proposals, SOWs, service delivery, and post-sale support. Develops sales enablement content, manages customer relationships, creates revenue-generating service programs, reports forecasting metrics, and collaborates with product and development teams on roadmaps and sales strategy.

Leads a small, hands-on team investigating emerging AI capabilities for executive stakeholders. Converts ambiguous questions into time-boxed experiments, builds prototypes, designs evaluations, analyzes cost, latency, reliability, and failure modes, and delivers defensible recommendations. The manager hires and coaches senior engineers, presents findings to executives, stops low-value bets, and packages validated work for handoff to operational teams without owning production support.

Leads full-stack software design, development, architecture, testing, and deployment for custom applications and enterprise integrations supporting order management and procurement. Provides technical direction, mentors developers, enforces coding standards, manages risks, and drives engineering process improvements. Partners with architecture, delivery leadership, and business stakeholders to translate needs into scalable solutions. Uses AI-assisted development tools responsibly to improve productivity, quality, testing, and documentation while contributing hands-on to complex front-end and back-end work.

Lead pre-sales technical engagements to design and optimize scalable cloud lakehouse data platforms (Snowflake/Databricks). Provide architecture reviews, ETL/ELT pipeline design, governance and AI-ready data foundations, support services sales, and translate technical tradeoffs into actionable recommendations for engineering and executive stakeholders.

Manage multiple public-sector IT infrastructure projects end-to-end, ensuring on-time, on-budget delivery. Lead stakeholders, vendors, and internal teams; build schedules, manage risks, finances, QA, and client communications for networking, wireless, and unified communications engagements.

Lead architecture and design of scalable, distributed systems; research and drive complex multi-technology solutions; develop prototypes; conduct technology assessments and dependency mapping; communicate decisions to technical and C-level stakeholders; provide technical leadership and mentoring across multiple teams; support digital transformation roadmaps and implementation planning.

Lead architecture and delivery of scalable digital solutions, research and prototype emerging technologies, assess client environments, communicate technical decisions to stakeholders, and provide technical oversight to delivery teams.