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

Sell hybrid infrastructure services and products through the full enterprise sales lifecycle. Develop account strategies, identify and qualify opportunities, build client and partner relationships, coordinate internal technical resources, manage pipelines and forecasts, meet revenue and profit targets, and provide consultative sales support. The role also includes mentoring entry-level Solutions Executives, participating in industry events, and maintaining expertise across multiple infrastructure solution areas.

Owns enterprise AI security assessment, architecture, and control programs. The role evaluates AI systems, vendors, platforms, and shadow AI; designs secure architectures, guardrails, identity models, sandboxes, gateways, and runtime controls; and develops detection and response capabilities for prompt injection, jailbreaks, data leakage, and tool misuse. The engineer partners with governance, identity, platform, engineering, and security operations teams, advises senior leaders, drives remediation, and mentors security professionals.

Leads AWS consulting engagements, designing and deploying cloud, DevOps, automation, infrastructure-as-code, and Kubernetes solutions for enterprise clients. Provides technical oversight across projects, supports presales and SOW reviews, develops cloud service offerings, and delivers workshops and training. Mentors engineers and architects, guides technical growth, ensures delivery excellence, and acts as an escalation point. The role also requires expertise in public cloud architecture, AI and machine learning, automation, CI/CD, and client relationship management.

Develop and execute territory sales strategies to identify and expand enterprise business opportunities. Manage opportunity pipelines, forecasts, proposals, RFP/RFI presentations, contract licensing, and customer relationships. Partner with sales and solutions teams, mentor sales personnel, differentiate software offerings, support pricing and configuration, and conduct training to increase bookings. The role requires technology sales experience, market knowledge, strong negotiation and communication skills, and travel up to 25%.

Leads a managed services engineering team responsible for AIX, Unix, and Linux service delivery. Oversees customer satisfaction, SLA performance, staffing, workload allocation, process improvement, operational procedures, budgets, vendor relationships, and technical service optimization. Manages customer reviews, support escalations, performance management, hiring, on-call schedules, and continuous service improvement while coordinating strategic and tactical technology plans across internal teams and partners.

Leads pre-sales strategy and enterprise AI adoption for higher education customers. Delivers executive presentations, technical demonstrations, workshops, and consultations on Gemini, Google AI Pro, cloud infrastructure, AI governance, security, and institutional integration. Builds relationships with CIOs, CTOs, and IT leaders; develops use cases and value propositions; supports strategic sales opportunities; tracks adoption metrics; coordinates executive briefings; and speaks at industry conferences. Requires extensive higher education IT, enterprise infrastructure, AI strategy, and executive communication experience, with travel up to 50%.

Lead design and implementation of scalable Databricks Lakehouse solutions using Delta Lake, Unity Catalog, and MLflow. Advise stakeholders, drive cloud data platform modernization across Azure/AWS/GCP, ensure data governance and quality, optimize performance and cost, and mentor teams. Support presales, deliver billable consulting, and champion AI/ML-enabled data solutions to translate platform capabilities into business outcomes.

Installs, customizes, upgrades, patches, maintains, and troubleshoots IBM z/OS and ISV products in managed mainframe environments. Supports disaster recovery, performance optimization, database and infrastructure administration, security, customer incidents, change control, and ServiceNow requests. Plans transitions and technical projects, develops automation scripts and documentation, supports proposals and service scoping, and mentors technical staff while maintaining customer relationships.

Designs and delivers Snowflake data architectures on AWS, including dbt-based data engineering and AI-enabled solutions. Leads RAG, vector search, embedding, semantic search, and analytics initiatives from proof of concept through production. Directs project teams, oversees solution quality and budgets, supports proposals and business cases, and serves as a trusted technical advisor to clients. Requires strong data engineering, governance, documentation, communication, and stakeholder-management skills, with travel as needed.

Develops and presents hybrid infrastructure solutions for federal and state/local government customers. Responsibilities include technical pre-sales consulting, solution architecture, assessments, service scoping, configurations and bills of materials, statements of work, sales strategy, customer and partner relationship management, and technical enablement. The role requires expertise across servers, storage, backup, virtualization, cloud, and AI technologies, along with mentoring other solution architects and traveling up to 25%.