Teams at Lusha

Lead design and delivery of scalable batch and real-time data pipelines, enforce engineering best practices (CI/CD, testing, observability), mentor data engineers, drive data architecture decisions (modeling, storage, compute), collaborate cross-functionally, and expand data product capabilities using cloud platforms such as Databricks and Snowflake.

Own full sales cycle for mid-market and enterprise customers: prospect, map stakeholders, apply MEDDPICC, negotiate, and close deals. Leverage GenAI and AI tools to improve prospecting, deal strategy, and pipeline execution while meeting revenue targets in a hybrid Tel Aviv role.

Develop and deploy end-to-end machine learning models for personalized sales experiences. The role involves solving complex business problems with classic and advanced ML techniques, building agentic pipelines, working with product and engineering teams, and owning solutions from success criteria through monitoring and maintenance. Responsibilities include working with tabular, time-series, and text data, NLP, scalable ML pipelines, production deployment, and leveraging AI development tools.