
PromptQL
San Francisco, CA
AI platform for reliable natural language data analysis and automation
About
PromptQL builds an AI platform that enables enterprises to perform accurate natural language analysis and automation on their data and systems. It codifies business context for LLMs, ensuring reliable, grounded insights and agentic workflows. Serves Fortune 100 companies tackling high-stakes AI deployments.
Tech stack
Grafana, encryption, AWS, CISSP, analytical models, IDS, Azure, NIST, Prometheus, Large Language Models, firewalls, GraphQL, Python, SQL
Perks & benefits
Health insurance, Dental insurance, Vision insurance, 401k match, Unlimited PTO, Parental leave, Equity, Commuter benefits
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Open jobs
5Creates, publishes, and scales PromptQL’s short-form video and motion content across social platforms, while shaping the founder voice and using performance insights to drive growth. The role requires demonstrated audience-building success and hands-on shooting, editing, motion graphics, and storytelling skills.
Guides customers through AI transformation by architecting, implementing, and evolving PromptQL AI solutions from pre-sales to post-sale expansion. Requires 7+ years in technical sales/implementation, generative AI experience, and strong enterprise data expertise.
Forward Deployed Analyst who partners with customers to translate ambiguous business problems into analytical insights, data workflows, and AI-powered solutions. Requires 5+ years in data science, engineering, or analytics, strong SQL and operational analytics experience, and excellent stakeholder communication.
Forward Deployed Analyst translates business problems into data-driven insights and AI-powered solutions using PromptQL, providing hands-on support to customers. Requires 5+ years in data science/analytics, SQL proficiency, and strong communication skills.
Staff AI Software Engineer builds and scales AI systems including PromptQL AI assistant, data engine, and runtime infrastructure for enterprise reliability. Requires 6+ years experience with AI/ML, distributed systems, LLMs, Python fluency, and technical leadership.