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Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Design, build, and optimize production Databricks Lakehouse data pipelines using PySpark, Spark SQL, and Delta Lake. Implement medallion architectures, Unity Catalog governance, CI/CD, and cluster optimization. Collaborate with data science and analytics teams, mentor engineers, monitor production, and drive security, compliance, and performance improvements.
Top Skills:
SparkAWSAzureCi/CdDatabricksDatabricks LakehouseDatabricks WorkflowsDelta LakeDelta Live TablesGCPGitInfrastructure-As-CodePysparkPythonSpark SqlSQLUnity Catalog
Artificial Intelligence • Information Technology • Professional Services • Software • Analytics • Generative AI • Big Data Analytics
Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.
Top Skills:
AirflowAWSAzureChatgptClaude CodeCursorDagsterDbtDynamic TablesGCPGitGithub CopilotOpenaiPrefectPythonSnowflakeSnowparkSnowpipeSQLStreamsTasksTime Travel
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead industry-focused marketing strategy and execution to drive revenue and brand visibility. Conduct market research and performance analysis, develop integrated campaigns across channels, use CRM and analytics for audience engagement, create reporting frameworks, and coach teams while managing cross-functional stakeholder relationships.
Top Skills:
Crm Software
Description
To continue fueling our growth, we are looking for an experienced, high-performing Sales Executive to develop our business in the California AI Vertical, by developing and executing strategic plans to achieve sales targets and win new logos.
Responsibilities- Proactively approach AI prospects to secure new business, specifically focused on newly founded companies.
- Promote Bright Data within the thriving California AI market.
- Pipeline development through a combination of self-driven approach, and collaboration with marketing teams.
- Partner with customers to understand their business needs and objectives.
- Manage complex sales cycles, from prospecting to closing, both F2F and remote processes.
- Position Bright Data at all levels of an organization, including C-level executives.
- At least 3 years of B2B SaaS or Cloud solutions sales experience to SMB-market customers, with at least 1 year of working directly with lead AI companies
- Strong understanding of selling consumption based platform/solutions
- Creative seller with the ability to quickly adaptive and change
- Experience in developing and executing complex sales processes
- Proven track record of hitting or exceeding annual sales targets
- Ability to clearly demonstrate executive presence and engage in business-level discussions with C-level executives
- Solid interpersonal, written and verbal communication skills, with the ability to build strong relationships
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
