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

Build and maintain secure, reliable hybrid infrastructure supporting AI model inference and enterprise SaaS. Automate operational processes, improve developer and machine learning workflows, manage deployment tooling, monitor and audit infrastructure, optimize large-scale systems, and participate in on-call rotations and root cause analysis. The role works across Linux, cloud, container, networking, storage, databases, and distributed computing platforms, including GPU-enabled data centers.

Lead and mentor an engineering team building large-scale AI infrastructure. Partner with product, machine learning, QA, and sales teams on roadmaps, architecture, development, experimentation, and deployment. Drive product milestones, feature delivery, quality metrics, security practices, risk management, recruiting, interviewing, and onboarding. Contribute to technical design and support engineers’ growth while maintaining information-security and data-handling standards.

Own quantitative product analysis for the Media team, including developing KPIs, dashboards, automated reporting, and analyzing high-volume data with SQL. Translate business questions into actionable recommendations for internal teams, partners, and clients. Collaborate with Business Development, Engineering, and QA on insights and product processes, while supporting data maintenance and information security practices.

Manage the full employee lifecycle, including onboarding, offboarding, benefits, compensation, payroll, compliance, employee relations, performance management, and engagement. Support office operations, HR data analytics, inclusive culture initiatives, and policy compliance while partnering with leadership and employees in a fast-growing technology company.

Manage business operations, reporting and productivity metrics, process and systems improvements, risk and security coordination, and client project execution. The role partners with executives, business teams, and engineering while supporting company growth in a dynamic AI startup environment.

Manage multiple client AI and data projects from planning through execution, coordinating business and engineering teams. Improve delivery processes, systems, and procedures; lead team members; establish productivity goals and reporting metrics; and engage with executive stakeholders and clients. The role requires strong leadership, communication, analytical decision-making, organization, and adaptability in a fast-growing startup environment.

Lead UI/UX design across product initiatives, manage and mentor designers, provide creative direction, and translate complex concepts into wireframes and prototypes. Collaborate with engineering, product, and business teams to create practical, consumer-centered solutions. Own design projects independently, maintain high-quality execution, manage competing priorities, and follow information security policies and procedures.

Manage sales operations by analyzing sales metrics, improving funnel performance, optimizing CRM and go-to-market tools, and delivering executive reporting. Partner cross-functionally with sales and marketing leaders to improve productivity, processes, and systems. The role requires strong analytical, communication, organizational, and adaptability skills in a fast-paced AI startup environment.

Automate operational processes, improve developer and machine learning workflows, manage deployment tooling, and maintain secure, reliable hybrid infrastructure across Linux, GPU data centers, and AWS. Responsibilities include infrastructure monitoring, auditing, security, on-call support, root cause analysis, and automation using containers, orchestration, CI/CD, configuration management, networking, storage, and cloud technologies.

Analyzes sales and operational data, develops reporting and performance metrics, maintains CRM systems, participates in deal reviews, identifies process improvements, and implements automation solutions. The role provides actionable insights to improve sales productivity, customer experience, and operational efficiency while coordinating across Sales, Operations, and other teams in a fast-paced SaaS environment.