Marketing Operations Engineer (Temporary role - 9 months)

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 Requirements 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