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Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
Designs and validates enterprise solutions for strategic customers using HERE APIs, SDKs, platform services, and mapping technologies. Leads technical discovery, architecture design, demonstrations, workshops, evaluations, and proof-of-concept engagements. Partners with Sales, Product, Engineering, Services, and Customer Success teams to address customer requirements, risks, integrations, and implementation readiness. Communicates technical recommendations and tradeoffs to business and technical stakeholders while supporting account planning, competitive evaluations, expansion opportunities, and successful presales-to-implementation handoffs.
Top Skills:
AWSCloud TechnologiesGisGCPHere ApisJavaJavaScriptAzurePythonSdks
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead architecture and technology strategy for ELT-level AI programs: define target and reference architectures, align to enterprise platforms, ensure security, reliability, and governance, advise senior stakeholders, mentor engineering teams, and drive reusable, scalable AI solutions that deliver measurable business outcomes.
Top Skills:
Agentic PlatformsAi/Ml ServicesAPIsCloud PlatformsData PlatformsIntegration PatternsLlmsSecurity And Reliability Practices
Fintech • Mobile • Software • Financial Services
Own and grow employer and workplace partnerships through onboarding, activation, optimization, renewal, and expansion. Build success plans, engagement campaigns, business reviews, and data-driven recommendations while managing escalations, renewals, compliance, and cross-functional execution. Serve as a trusted advisor to HR, Benefits, Payroll, and executive stakeholders, using Salesforce and reporting tools to track performance, risks, opportunities, and next steps. Travel approximately 10–15% as needed.
Top Skills:
ExcelGoogle SheetsGoogle SlidesPowerPointSalesforce
Collect, clean, and analyze data to support business decisions; build dashboards and reports; identify trends and insights; and present findings to stakeholders. Maintain attention to detail and apply problem-solving to derive actionable recommendations.
Job Description
We are looking for a Data Analyst to collect, clean and analyze data to support business decisions. You will build dashboards and reports, identify trends and insights, and present findings to stakeholders. Requires proficiency in SQL and Excel, experience with BI tools (Power BI/Tableau), and 1-3 years of relevant experience. Strong attention to detail and problem-solving skills are essential.
Job OverviewSeniority Level: Middle
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



