Marketing Operations Engineer (9-month maternity leave cover)

Description:

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 a Marketing Operations Engineer to join our Marketing Technologies & Operations team as a true technical builder. This role sits at the core of how Lusha scales its Product-Led Growth (PLG) motion - building the infrastructure that turns product signals into revenue.

You’ll operate at the intersection of Marketing, Sales, Data, and Engineering — going beyond campaign execution to design systems, automate workflows, and deploy AI-driven solutions that power customer journeys at scale.

You’ll lead the technical side of our customer engagement platforms, develop our orchestration layer (n8n / Make), and build the foundations that connect product usage with go-to-market execution.

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 see marketing systems as something to build - not just manage
• You enjoy designing workflows and automations across multiple tools and platforms
• You like turning messy, fragmented data into clean, actionable flows
• You’re excited about using AI to automate and scale go-to-market processes
• You’re comfortable working across Marketing, Sales, Data, and Engineering
• You take full ownership - from idea to production and iteration
• You thrive in fast-moving, high-impact, AI-first environments

• 3+ years of experience with marketing automation and customer engagement platforms (Braze, Marketo, HubSpot or similar)
• Hands-on experience with iPaaS tools (n8n, Make, Zapier)
• Strong understanding of APIs, webhooks, and JSON-based integrations
• Proficiency in Python or JavaScript for scripting, data transformation, and integrations
• Solid data fluency, including experience with Salesforce and product analytics tools (e.g., Amplitude)
• Basic SQL skills and understanding of data flows into data warehouses
• Proven ability to own projects end to end - from design to deployment and iteration
• Strong builder mindset with a proactive, problem-solving approach
• Fluent English (written and spoken)
• Hands-on experience using GenAI tools to improve workflows, automation, and execution

Nice to Have

• Proven experience with Braze - advantage
• Experience working in a PLG B2B SaaS environment
• Familiarity with Snowflake or modern data platforms
• Experience with data enrichment tools (e.g., Lusha or similar)
• Experience building or experimenting with AI agents and LLM-based workflows