Jobs 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.

Design, build, and maintain marketing engagement infrastructure and orchestration (n8n/Make). Implement integrations and automations across Marketing, Sales, Data, and Product analytics, deploy GenAI-driven workflows, and own projects end-to-end to convert product signals into revenue.

Own and evolve end-to-end analytics foundations: design data models, pipelines, and BI layers; collaborate with Data Science and business stakeholders; ensure data quality, performance, and trusted metrics; use GenAI to speed analytics engineering; mentor and set standards across the company.

Own complex technical escalations for Enterprise customers, troubleshoot APIs, integrations, and automation workflows, collaborate with R&D to resolve high-impact issues, build scalable support solutions, and use AI tools to improve troubleshooting and operations while mentoring and improving processes.

Partner with Go-To-Market and Revenue teams to analyze revenue drivers, define commercial metrics, optimize the sales funnel, build forecasts, run experiments, and turn complex data into actionable growth recommendations using SQL and GenAI.

Lead revenue-focused FP&A for GTM teams: drive forecasting, budgeting, and revenue/pipeline modeling; analyze SaaS metrics (LTV/CAC, churn); provide strategic insights to leadership; implement AI and automation to improve forecasting and decision-making.

Partner with Product teams to define success metrics, run experiments, analyze user behavior, and turn insights into product decisions. Own end-to-end analyses, leverage GenAI to accelerate experimentation and insight generation, and influence roadmap with data-driven recommendations.

High-velocity SMB Account Executive converting PLG-driven product users into revenue. Manage 10–20 active deals, identify upsell opportunities, run value-focused sales conversations, and use CRM and AI tools to close deals.

Own pre-sales technical validation and onboarding for high-value customers: design integrations, validate APIs and data quality, build automated workflows using middleware, lead technical consultations, and feed product/engineering with field insights to ensure adoption and retention.

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.