Lusha
Lusha Benefits Overview
Compensation + Benefits
Offers 401(K)
Offers life insurance
Offers accidental death & dismemberment insurance
Offers disability insurance
Provides a pension
Offers company equity
Offers dental insurance
Offers vision insurance
Offers health insurance
Provides family medical leave
Offers generous parental leave
Company Culture
Provides commuter benefits
Provides free snacks and drinks
Offers a remote work program
Work-Life Balance + Wellbeing
Offers company-sponsored outings
Offers generous PTO
Provides paid sick days
Offers unpaid extended leave
Provides paid holidays
Provides bereavement leave
Career Growth + Development
Provides customized development tracks
Job training & conferences
Recently posted jobs
HR Tech • Sales • Software • Database • Business Intelligence
Lead Lusha’s product marketing team and own positioning, messaging, go-to-market strategy, product launches, partnerships, and sales enablement. Collaborate with Sales, Product, Marketing, and Design to translate complex technology into compelling customer value. Use market research, competitive intelligence, voice-of-customer insights, and performance measurement to influence product direction and drive business results across global markets. Manage team strategy, goals, development, and execution while applying AI tools.
HR Tech • Sales • Software • Database • Business Intelligence
Build and ship end-to-end features for Lusha’s core products, spanning production React frontends, Node.js backend services, APIs, databases, and large-scale data systems. Own features through deployment and monitoring, use AI-native development workflows, optimize PostgreSQL queries, and collaborate with users and cross-functional teams. The role is hybrid in Tel Aviv with three office days weekly.
HR Tech • Sales • Software • Database • Business Intelligence
Lead a team of 4–6 BI Data Engineers while owning Lusha’s BI platform roadmap, architecture, data foundations, semantic layers, governance, quality, and delivery. The role combines people leadership with hands-on data engineering, advanced SQL and Python, modern data stacks, CI/CD, observability, FinOps, and GenAI-assisted development. Responsibilities include translating business needs into governed metrics, mentoring engineers, leading cross-functional initiatives, and improving analytics engineering through AI and agentic workflows.
