Enterprise Account Manager

Tel Aviv · Full-time · IC
About The Position

At Lusha, we’re building for builders. We build fast and AI-first - so we look for builders.

By a builder, we mean someone who turns “maybe” into “done”.

We’re looking for an experienced Enterprise Account Manager to own and grow a portfolio of high-value customers. This role is about long-term partnerships, strategic account ownership, and meaningful revenue expansion - acting as a true partner to both customers and internal teams.

You’ll own accounts end to end, from onboarding through expansion, and play a key role in how we scale revenue at Lusha.

Experience using GenAI to improve pipeline management, customer insights, personalization, and revenue execution is a must for this role.

This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.

This might be for you if:

You like owning accounts end to end and being accountable for outcomes
You enjoy building long-term partnerships, not just closing deals
You’re comfortable navigating complex stakeholders and business environments
You thrive in fast-moving, high-growth environments
You care about impact, ownership, and improving how things are done
You actively use AI tools in your day-to-day work to manage pipeline, insights, and execution
Requirements
4+ years of experience in B2B SaaS roles (Account Manager, AE, Client Partner) in Enterprise or Upper Mid-Market
Proven track record of exceeding revenue targets
Experience driving expansions, renewals, and complex deal cycles
Strong communication skills and a confident, professional presence
Experience working cross-functionally to deliver customer and revenue outcomes
Comfort leveraging technology and AI tools as part of daily execution
Familiarity with structured selling frameworks (MEDDPIC, Sandler, Value Selling)

Nice to have:

Background in Customer Success or Technical Account Management, experience in data / sales intelligence / RevTech environments, familiarity with APIs or integrations, or top-performer recognition.