Perform back-office finance processing and reporting (AR, payroll, accounting); use ERP systems (Oracle/SAP/PeopleSoft); analyze data, prioritize tasks independently, and communicate with internal and external stakeholders.
Job Description
Basic Job Qualifications: • Minimum 2 years experience in back office Finance processing or reporting (e.g., AR, Payroll, Accounting) • Solid PC proficiency in MS Word, Excel and Access • Solid analytical, problem solving and organizational skills • Solid team orientation and ability to work through others • Ability to work independently and prioritize work with minimal direction • Ability to learn new technology concepts quickly with attention to detail • Solid written and verbal communication skills, with the ability to interface with multiple levels of internal and external business partners Preferred Job Qualifications: • 4 year business, accounting, finance or information systems degree or comparable experience • Oracle e-Business Suite, PeopleSoft or ERP experience
QualificationsBachelors
Additional InformationMust have Oracle or Sap or People soft experience
Similar Jobs
Events • Food • Travel • Hospitality • Hotels & Resorts
Manage event planning and execution at Hotel del Coronado, serving as the primary client contact, coordinating documentation and service transitions, resolving issues, identifying upsell opportunities, and maintaining client relationships. The role also guides team performance, supports sales activities, participates in site visits and pre-event meetings, and ensures high-quality guest experiences.
Events • Food • Travel • Hospitality • Hotels & Resorts
Manages redemption optimization initiatives from planning through activation, monitoring, measurement, and final readout. Develops project plans, readiness checklists, requirements, documentation, and analytical summaries. Coordinates cross-functional work across pricing, loyalty, analytics, digital, technology, and hotel operations teams. Facilitates working sessions, tracks risks and dependencies, escalates issues, and delivers performance readouts and recommendations to leadership.
Top Skills:
Artificial Intelligence ToolsConfluenceExcelJIRAMicrostrategyPower BIPower QueryPowerPointSQL
Events • Food • Travel • Hospitality • Hotels & Resorts
Build and deploy generative AI solutions, including APIs, MCP servers, AI agents, LLM integrations, and full-stack applications. Develop scalable AWS cloud services, observability systems, evaluation pipelines, and production agent workflows. Collaborate with Product, UX, Security, Legal, and engineering teams to design interfaces, adapt AI tools to company codebases, and support customer experience and developer productivity use cases.
Top Skills:
AgentcoreAmazon BedrockAmazon EksAmazon ElasticacheAmazon S3AWSDatadogFastapiGitlabGuardrailsJenkinsLangchainMcpOpensearchPythonReactSplunkStrandsTailwind CssTesting LibraryTypescriptVitest
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
