
51 - 200 employees
Founded 2023
🤖 Artificial Intelligence
💳 Fintech
☁️ SaaS
💰 $24.6M Series A - Jump on 2025-02
Artificial Intelligence • Fintech • SaaS
Jump - Advisor AI is an AI-powered SaaS platform that automates administrative and client-facing workflows for financial advisors and wealth teams. It provides meeting preparation, automated note-taking, follow-up email generation, client engagement tools, and data-driven insights, while integrating with CRMs, financial planning tools, conferencing systems, and calendars. Built with enterprise-grade security and configurable compliance controls, Jump is designed for RIAs, broker-dealers, and other advisory firms to save time, increase meeting capacity, and simplify supervision and auditability.
🕒 February 25
🇺🇸 United States – Remote
💵 $180k - $270k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Artificial Intelligence
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51 - 200 employees
Founded 2023
🤖 Artificial Intelligence
💳 Fintech
☁️ SaaS
💰 $24.6M Series A - Jump on 2025-02
Artificial Intelligence • Fintech • SaaS
Jump - Advisor AI is an AI-powered SaaS platform that automates administrative and client-facing workflows for financial advisors and wealth teams. It provides meeting preparation, automated note-taking, follow-up email generation, client engagement tools, and data-driven insights, while integrating with CRMs, financial planning tools, conferencing systems, and calendars. Built with enterprise-grade security and configurable compliance controls, Jump is designed for RIAs, broker-dealers, and other advisory firms to save time, increase meeting capacity, and simplify supervision and auditability.
• Design and curate evaluation datasets for retrieval quality • Measure retrieval quality using metrics like Recall@k, Precision@k, MRR, and NDCG@k • Recommend data cleaning/normalization strategies • Evaluate and optimize chunking strategies • Assess embedding and re-ranking strategies • Evaluate generation quality in context • Attribute failures across the pipeline • Conduct systematic error analysis on AI/ML system outputs • Design and validate LLM-as-Judge evaluators • Build and maintain golden datasets for CI regression testing of AI pipelines • Lead or facilitate annotation workflows
• BS in Computer Science, Statistics, Data Science, Information Science, Mathematics, Engineering, or a related quantitative field (MS or PhD preferred) • 5+ years of experience in data science, applied ML, information retrieval, or AI evaluation roles • Strong product sense • Statistical rigor • Information retrieval fundamentals • Proficiency with Python and SQL (Experience with Elixir is a plus) • Hands-on experience with LLMs • Data labeling and annotation experience • Strong written and verbal communication
• Competitive salary • Equity • Health insurance • Dental insurance • Vision insurance
Apply Now🕒 February 25
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