Teams at Aleph

Own and scale client-facing data transformation pipelines for financial and operational data. Build reliable analytical models, data integrity tests, and integrations across diverse sources. Partner with Customer Success and Engineering to troubleshoot data issues, optimize critical pipelines, establish engineering standards, and improve developer experience. Use dbt, SQL, Python, BigQuery, and AI-enabled workflows to deliver performant, well-documented FP&A data products while mentoring teammates and contributing to hiring and onboarding.

Lead product demonstrations, proofs of concept, and short-cycle trials for FP&A leaders evaluating Aleph’s AI-native platform. Configure solutions, answer finance and product questions, translate AI capabilities into business value, and guide technical evaluations through decision. Engage CFOs and senior finance stakeholders while partnering with go-to-market, Product, and Engineering teams to improve positioning and roadmap decisions.

Own Aleph’s shared AI foundation, including model selection and routing, proxy infrastructure, context management, tool design, and evaluation systems. Ship production agentic features using prompt engineering, caching, parallel tool calls, and subagents. Build observability for agent performance, collaborate with customers and finance experts to define quality standards, and drive adoption of reliable AI systems across product teams.