תיאור המשרה
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 AI and Knowledge Manager to own the intersection of AI-driven support and our Knowledge hub (aka. Help center). You'll make sure our AI tools and self-service resources work as one system, so customers get fast, accurate, and consistent answers no matter which channel they land on. You'll shape the AI chatbot strategy end to end, from prompt design to failure detection, while owning the Knowledge hub (aka. Help center) roadmap, content, and voice. You'll partner closely with Support, CS, and R&D to keep our knowledge base sharp, train agents on AI tools, and turn deflection data into concrete improvements. Hands-on experience designing and optimizing LLM prompts, and using AI tools to scale documentation and support workflows, 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 is a Monday to Friday role. This might be for you if: You enjoy owning a system end to end, from chatbot strategy to Knowledge hub (aka. Help center) content, and connecting the dots between them You like turning messy support data into clear signals that drive real improvements You care about accuracy, tone, and consistency across every piece of customer facing content You enjoy training and enabling others, whether that's support agents or an AI agent You actively use AI tools to move faster and raise the bar on documentation and support quality Responsibilities Develop and execute the AI chatbot strategy, ensuring alignment with overall support goals Design and optimize LLM prompts to enhance AI response quality and relevance Maintain and optimize knowledge base content to strengthen AI and agent effectiveness Implement failure detection systems to monitor AI and agent interactions, ensuring accuracy and quality Own and maintain the Knowledge hub (aka. Help center) roadmap, including content, tone, and voice consistency Monitor and analyze deflection analytics, identifying trends and areas for improvement Conduct AI trainings for support agents, ensuring skill development and adoption Define and track AI related KPIs to measure performance and business impact Maintain internal documentation and best practices for AI tools and support processes Lead, evaluate, and implement integrations between AI tools and other support/CRM systems to ensure smooth workflows Requirements: 2+ years of experience in knowledge management, technical writing, support operations, or a related content/AI role Hands-on experience with AI chatbot platforms (e.g., Intercom Fin) and LLM prompt design Proven track record owning a Knowledge base at scale, including information architecture and content standards Comfortable writing and maintaining content in Markdown/MDX (e.g., Redocly, Mintlify, or similar docs as code platforms) Strong analytical skills, with experience turning support/deflection data into actionable insights Experience with automation tools (e.g., n8n, Zapier) to scale documentation or support workflows Excellent written English and a sharp eye for tone, clarity, and consistency A strong builder mindset, comfortable owning ambiguous problems and shipping solutions independently Nice to have: Experience with integrations between support/CRM systems (e.g., Intercom, Salesforce, Jira, Confluence) Experience training or enabling teams on new tools and processes General understanding of SEO best practices Basic understanding and experience with GitHub Background in a B2B SaaS or data platform environment
על Lusha
Lusha is the B2B data intelligence layer that keeps your GTM foundation solid. 1M+ sales, marketing, recruiting, and revenue operations professionals use Lusha to find, enrich, and act on accurate data across 300M+ profiles and 40M+ companies worldwide. Not just verified, fresh business contact details, also firmographics, funding events, technology stack, job changes, promotions, headcount shifts, and buying signals that tell you who to reach, and when.
At the deeper intel level, Lusha uses machine learning models built around your own patterns to surface the accounts that look like your best customers, score opportunities before they surface in your CRM, and generate new pipeline from signals your team would never have caught manually.
All of it is accessible wherever your stack lives: directly through Lusha, via API and MCP, or through integrations with Clay, n8n, Make, Claude, and ChatGPT.
If you're building global go-to-market automations, Lusha is certified under GDPR and CCPA, independently audited by TrustArc and ISO 27701, and validated by ePrivacyseal.
Sign-up for free. Paid plans unlock higher volume, additional signal types, and the full depth of intelligence.