Easy Apply
Easy Apply
Similar Jobs
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Lead the design and development of scalable storage solutions, support distributed systems, and contribute to open source projects while ensuring system performance and availability.
Top Skills:
CephDockerGoKubernetesLinuxS3
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead the delivery of post-sales technology initiatives, ensuring effective platform management and improvements across Salesforce Service Cloud and associated systems. Develop teams, manage vendor partnerships, and leverage AI for operational efficiency.
Top Skills:
AICertiniaCopadoDell BoomiExperience CloudGainsightGitSalesforce Service CloudTotango
Information Technology • Internet of Things • Mobile • On-Demand • Software
As an Enterprise Account Executive, you will engage with business clients to provide tailored communication solutions, achieve revenue quotas, and maintain client relationships through consultative sales efforts.
Top Skills:
Computer NetworkingCrm SystemsHigh-Capacity And Fiber-Connected NetworksLanExcelOutlookPowerPointSuch As SalesforceWan TechnologiesWord
This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent.
About RippleMatch
RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers.
Requirements for the role:
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Hardware Engineering, or a related field.
- Internship or hands-on project experience in hardware design or a closely related field.
- Solid understanding of hardware design principles, including circuit design, PCB layout, and system integration.
- Proficiency with hardware development tools and software, such as Altium Designer, Eagle, or similar PCB design software.
- Experience in designing, prototyping, and testing electronic hardware components and systems.
- Strong analytical and problem-solving skills, with the ability to troubleshoot and optimize hardware designs.
- Proactive approach to learning new tools and techniques in hardware development.
- Good organizational and project management skills, capable of managing project timelines and contributing to multiple projects simultaneously.
- Effective communication and interpersonal skills, for collaborating with multidisciplinary teams and communicating technical information.
- Eagerness to stay updated with the latest advancements in hardware technologies and industry trends.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



