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Sql Jobs in San Francisco
471 open positions · Updated 1 week ago
471 Sql roles across 127 companies, most in Data Science; 3% fully remote; typical advertised salary $180k
Who is hiring (127 companies)
Work arrangement: 14 fully remote · 256 hybrid · 43 on-site · 158 not stated
Advertised salaries: p25 $146.6k · median $180k · p75 $220k (from 305 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 471 positions
Search with filters →Join Cogent Security as a Staff Software Engineer to build foundational data platforms for enterprise AI-driven cybersecurity solutions.
Join Rox as a Forward Deployed Engineer to empower top revenue teams with AI-native workflows in a hybrid role.
Join Delphi as a Full Stack Engineer to shape the future of digital minds with a focus on innovative creator tools and consumer experiences.
Lead a high-performing data science team to drive product strategy and business growth through innovative analytical solutions.
Join Attentive as a Senior Machine Learning Engineer to build and scale ML systems for real-time personalization in a fast-paced environment.
Lead Data Scientist at Snorkel AI, focusing on Generative AI Analytics and high-leverage data science projects in a hybrid role.
Join Snorkel AI as a Senior/Staff Forward Deployed Engineer to transform expert knowledge into specialized AI at scale.
Lead and build the Forward Deployed Engineering team to deliver high-quality datasets for critical AI initiatives.
Lead the Forward Deployed Engineering team at Snorkel AI to enhance data pipeline capabilities for AI projects.
Lead the exploration and validation of new marketing channels as a Product Manager at AirOps, driving growth in AI search.
Analyze AI Search data to provide insights that support product decisions and customer guidance at a fast-growing startup.
Join Ironclad as a Staff Data Scientist to drive product analytics and influence product strategy with data insights.
Lead data science efforts at Strava to connect product and marketing initiatives with measurable business outcomes.
Own and evolve Strava's identity and privacy systems to ensure secure access for millions of athletes worldwide.
Join Strava as a Lead Data Scientist to drive measurement strategy and enhance AI-driven user experiences.