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Cloud • Fintech • Food • Information Technology • Software • Hospitality
Build and grow Toast's consumer social presence across Instagram, TikTok, and emerging platforms. Create and publish content, define the consumer brand voice, engage and moderate online communities, manage creators and user-generated content, monitor sentiment, and report on growth, engagement, referral traffic, and community health. Collaborate with Brand, Communications, Product Marketing, and Consumer Growth teams to refine content strategy and strengthen Toast Local's connection with diners and local restaurants.
Top Skills:
InstagramPhotographyShort-Form VideoSocial Media Analytics PlatformsSocial Media Management ToolsTiktokVideo Editing
Blockchain • Fintech • Payments • Financial Services • Cryptocurrency • Web3
Lead Circle’s Global Risk Management AI transformation by redesigning processes around intelligent agents, building reusable AI capabilities, applying responsible AI controls, and driving initiatives from vision through delivery and adoption. Partner with risk, compliance, engineering, and enterprise AI teams; manage roadmaps, dependencies, reporting, executive updates, and measurable outcomes while ensuring AI solutions remain safe, explainable, auditable, and human-supervised.
Top Skills:
Agentic AiAi Risk Management FrameworksArtificial IntelligenceGenerative AiIntelligent AgentsLlm WorkflowsLow-Code/No-Code Ai Development Tools
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Field Sales Representative responsible for managing and growing an assigned book of dealer clients through consultative, solutions-based selling. Travel to client locations (~80% travel) to develop relationships, identify cross-sell opportunities across Cox Automotive products, use Salesforce for selling and reporting, meet monthly sales quotas, and collaborate with internal teams to improve client service and transaction outcomes.
Top Skills:
SalesforceSalesforce
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 Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
