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

Supports sales pipeline growth by acquiring and researching contacts, preparing account reports, qualifying leads, engaging prospects through phone and chat, and completing training on Akamai products. The role partners with Sales and Marketing to generate demand and identify customer opportunities while developing skills for advancement as a Sales Development Representative.

Leads strategic, cross-organizational IT transformation programs from definition and planning through execution and sustainment. Develops integrated plans, manages scope, dependencies, risks, and external implementation providers, and communicates status to executive sponsors and governance boards. The role drives stakeholder alignment, supports enterprise applications, works independently through ambiguity, and improves PMO processes through best practices.

Lead the evolution of Akamai’s global cloud infrastructure and platform services. Design architectures for large-scale distributed systems, guide cloud platform roadmaps, align engineering teams around long-term technical strategies, evaluate technology choices, and modernize systems for enterprise-grade scalability, reliability, security, availability, and observability. The role requires hands-on design leadership and collaboration with internal stakeholders and external partners.

Develop cloud security platform and product services using Golang and Python in a high-traffic environment. Own features from requirements through release, build modular infrastructure, integrate components, solve technical challenges, and collaborate with cloud, product, data science, and DevOps teams. The role also involves designing threat detection solutions, working with distributed systems and NoSQL databases, mentoring junior engineers, and promoting engineering best practices.

Build and operate model validation, quantization, and safety systems for production ML. Develop pipelines for security scanning, optimization (quantization/pruning), routing, prompt management, and evaluation frameworks measuring accuracy, performance, and safety across model lifecycles.

Lead end-to-end planning and execution of large-scale AI platform programs, including technical roadmaps, software development lifecycles, releases, risks, dependencies, schedules, metrics, and executive communications. Mentor team members and coordinate cross-functional stakeholders while guiding complex AI infrastructure initiatives from concept through market delivery.

Oversee global data center network infrastructure operations, including deploying, repairing, installing, and decommissioning servers, storage systems, routers, switches, cabling, firmware, and software. Monitor and troubleshoot hardware, coordinate deployments and rack designs, manage inventory and shipping, support data center migrations and upgrades, and collaborate with Network Operations Centers and on-site technicians.

Designs infrastructure control-plane capabilities for capacity allocation, resource scheduling, and platform placement. Develops production-grade Python components and data pipelines, analyzes operational datasets with Python and SQL, and applies quantitative modeling, algorithms, optimization, and simulation to infrastructure systems. Provides strategic architectural guidance to engineering leaders and executives while collaborating with software engineers and domain experts to deliver production capabilities.

Leads business analysis for enterprise application enhancements and integrations supporting contracting, billing, and receivables. Gathers and translates stakeholder needs into functional requirements, user stories, use cases, acceptance criteria, and process flows. Partners with developers and QA throughout the SDLC, analyzes application integrations and data flows, supports testing and defect resolution, and drives requirements and dependencies through implementation and post-deployment support.

Leads business analysis for complex enterprise system initiatives across the SDLC. Manages requirements validation, solution delivery, system integrations, data management, workshops, process improvements, documentation, UAT coordination, and cross-functional collaboration. Performs current-state and future-state gap analyses, optimizes business system configurations, and uses generative AI to accelerate requirements documentation, user stories, and test scenarios.