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Data Infrastructure Jobs in San Francisco
21 open positions · Updated 1 week ago
21 Data Infrastructure roles across 14 companies, most in Data Engineering; typical advertised salary $190k
Who is hiring (14 companies)
Work arrangement: 2 hybrid · 4 on-site · 15 not stated
Advertised salaries: p25 $150k · median $190k · p75 $263.5k (from 15 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 21 positions
Search with filters →Join SingleStore as a Strategic Account Executive to drive new business and expand existing accounts with large strategic customers.
Join SingleStore as a Strategic Account Executive to drive new business and expand existing accounts with large strategic customers.
Join SingleStore as an Enterprise Account Executive to drive new business and expand relationships with large enterprise customers.
Join SingleStore as a Strategic Account Executive to drive new business and expand existing accounts with large strategic customers.
Join Chef Robotics as a Senior ML Engineer to develop and deploy foundation models for food robotics in production kitchens.
Lead large-scale AI infrastructure engagements with governments and enterprises, shaping complex partnerships and driving strategic outcomes.
Join Reflection AI as a Web Crawl Engineer to build and operate large-scale web crawling systems for frontier AI models.
Lead a data team at Cartesia to enhance the quality of multimodal AI training data and infrastructure.
Lead the technical product marketing efforts at Peregrine, focusing on AI and data unification for public safety and government sectors.
Build the search and data infrastructure for a personalized AI assistant at a startup in San Francisco.
Design and build core parts of the query engine for Amplitude's analytics platform as a Senior Software Engineer.
Shape how Pinterest measures itself as a Staff Technical Program Manager for Measurement, driving experimentation and AI initiatives.
Lead the vision and strategy for LaunchDarkly's end-to-end data products, focusing on data integrity and customer experience.
Lead the Experimentation pillar at LaunchDarkly to shape the future of AI-driven experimentation platforms.
Lead the Materialized Views engineering team to build next-generation features for Databricks Lakeflow platform.
Lead and develop a high-performing team to build Mercury's core data infrastructure and platform for analytics and AI.
Join Discord as a Staff Data Engineer to lead the technical vision for our analytical data infrastructure supporting millions of users.
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