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Data Infrastructure Jobs in San Francisco
19 open positions · Updated 1 week ago
19 Data Infrastructure roles across 14 companies, most in Management; typical advertised salary $213.1k
Who is hiring (14 companies)
Work arrangement: 3 hybrid · 4 on-site · 12 not stated
Advertised salaries: p25 $162.5k · median $213.1k · p75 $284.5k (from 12 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 19 of 19 positions
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Join Fastly as a Staff Product Manager to lead the Storage and Edge Data product lines, impacting customer satisfaction and revenue goals.
Join Maven Clinic as a Product Manager to enhance care delivery through innovative platform capabilities.
Lead and develop a team of infrastructure engineers at Kikoff, a fast-growing fintech company focused on financial security.
Join Cartesia as a Research Engineer to build scalable data infrastructure for language modeling in a collaborative, in-person team.
Lead the engineering organization for Apollo's core data platform, focusing on data acquisition, enrichment, and quality.
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.
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.
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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