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Cloud • Information Technology • Security • Software • Cybersecurity
Serve as senior sales engineer for state, local, and education (SLED) customers: present and demo Zscaler Zero Trust platform, manage technical sales end-to-end, run proofs-of-value, translate customer outcomes into technical architectures, and collaborate cross-functionally to accelerate deals and guide Zero Trust transformation.
Top Skills:
Ai ToolsFirewallsNetworkingProxyZero TrustZero Trust ExchangeZscaler
Cloud • Information Technology • Security • Software • Cybersecurity
Build and execute regional business plans for partner alliances, accelerate pipeline and revenue, maintain executive relationships across security, networking, cloud, and digital workplace practices, and collaborate with sales and channel teams to develop joint offerings and increase partnership awareness.
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Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Drive new SaaS license revenue through account and territory planning, prospect research, and field sales. Build and maintain C‑suite relationships, orchestrate account strategies with cross-functional teams, advise customers on IT roadmaps and AI integration, identify and bring in specialists for deals, and consistently meet sales targets.
Top Skills:
AIArmisSaaSServicenowVeza
The Company
Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai
OverviewWe are seeking a Data Analyst with strong SQL and Python skills to build, optimize, and support Streamlit dashboards and the data systems behind them. This role focuses on delivering reliable, performant analytics products by developing dashboards, improving underlying tables and pipelines, and ensuring data freshness and accuracy.
Key Responsibilities- Build and maintain Streamlit dashboards for business reporting and operational insights.
- Optimize dashboard performance (query tuning, caching strategies, efficient data loading, and rendering).
- Design, develop, and maintain SQL tables, views, and models that feed dashboards.
- Implement and maintain Python-based data workflows to transform, validate, and deliver data for analytics use cases.
- Monitor and improve data quality, freshness, and completeness (including automated checks and alerting).
- Partner with stakeholders to define metrics, ensure consistent definitions, and translate requirements into data products.
- Maintain documentation for dashboards, datasets, KPI definitions, and data lineage.
- Troubleshoot data and dashboard issues, providing timely support and root-cause analysis.
- Strong experience with SQL (complex joins, window functions, performance optimization, and data modeling).
- Strong experience with Python for data work (e.g., pandas, data validation patterns, and APIs as needed).
- Experience building dashboards using tools such as Streamlit (ideal), Looker, Tableau, etc.
- Solid understanding of analytics engineering fundamentals: dimensional modeling, metric definitions, and reproducible transformations.
- Knowledge of basic software engineering practices (Git workflows, code reviews, testing, CI/CD)
- Professional experience building dashboards in Streamlit, including performance tuning and maintainability.
- Familiarity with modern data stack concepts (ELT patterns, semantic layers, governance).
- Experience implementing automated data quality tests and observability.
- Experience working with large datasets and improving query and pipeline efficiency.
- Dashboards are fast, stable, and trusted by stakeholders.
- Underlying tables and transformations are efficient, well-documented, and easy to maintain.
- Data quality issues are detected early, with clear ownership and resolution paths.
- Metrics are consistent across dashboards and align with agreed business definitions.
- Strong analytical thinking and attention to detail.
- Ability to balance delivery speed with data correctness and maintainability.
- Clear written and verbal communication with technical and non-technical partners.
- Comfortable owning end-to-end analytics products from requirements to production support.
Assignment:
- 4-month contract with possibilities to extend
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
