Lusha

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 Senior Data Platform Engineer to join the Data Platform team, which owns the infrastructure every data team at Lusha runs on and sits between DevOps and the Data groups. You'll be the Databricks admin (Unity Catalog, compute, governance, cost), the Confluent (Kafka) and CDC admin, and own Airflow, Elasticsearch, the databases, the data S3 estate, and the Kubernetes cluster underneath. Your job is to make the platform fast, cheap, governed, and boring: if it's broken, you fix it, if it's manual, you automate it. Hands-on experience using AI coding tools daily, and building or integrating LLM and agent tooling into real 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 might be for you if: You enjoy designing, building, and running large scale batch and streaming data pipelines in production, and owning what you ship, including when it breaks You like administering and evolving core platforms: Databricks, Confluent Kafka and CDC pipelines, Airflow, and Elasticsearch You care about reliability, performance, and cost of a shared data platform used across R&D You enjoy setting the engineering standard for data work: testing, observability, cost tagging, documentation You like driving architecture decisions across Databricks, Kafka, Elasticsearch, and AWS You actively use AI tools and build self-service tooling, including MCP servers and agent interfaces, so teams can operate the platform safely Requirements 5+ years hands-on building and operating large scale data pipelines, batch and streaming, in production Deep Spark and Databricks experience: Delta Lake, Unity Catalog, job and cluster tuning, Structured Streaming or DLT Streaming and CDC experience: Kafka (Confluent a plus), Debezium or equivalent, schema evolution and its failure modes Experience writing Airflow DAGs and operating the platform itself Expert Python and SQL, clean, tested, performant Strong data modeling and architecture judgment, with the ability to explain tradeoffs in scale, performance, and cost Infra literacy: comfortable with AWS (S3, IAM, networking basics), Terraform, Docker and Kubernetes, and CI/CD Proven experience leading cross-team technical initiatives end to end, from ambiguous ask to shipped and adopted Proven experience using AI coding tools daily, with LLM and agent tooling (MCP, embeddings, vector search) built into real workflows Nice to have: Elasticsearch at scale: indexing pipelines, cluster operations, reindex and rollout strategies FinOps or cloud cost management for data platforms Vault or similar secrets management, and Kubernetes operations beyond deploying your own service Experience inheriting a system with real debt and making it boring

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 Mid-Market & Enterprise Account Executive to drive revenue growth by identifying, engaging, and closing deals with mid-market and enterprise customers. This role sits at the core of our growth strategy and focuses on winning new business through strong sales execution, deep customer understanding, and disciplined deal management. You’ll own the full sales cycle end to end, work with complex stakeholders, and use proven sales methodologies to turn opportunities into long-term customers. Experience using GenAI to improve prospecting, deal strategy, stakeholder mapping, and pipeline 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 is a Monday - Friday role. This might be for you if: You enjoy hunting for new opportunities and closing complex deals You’re comfortable running full-cycle sales processes with senior stakeholders You like working in fast-growing, high-performance sales environments You’re data-driven, structured, and disciplined in how you manage deals You care about ownership, results, and long-term customer impact You actively leverage AI tools to increase efficiency, personalization, and win rates Requirements 3+ years of experience as a B2B SaaS Account Executive, focused on Mid-Market and Enterprise Strong knowledge and hands-on experience with the MEDDPICC sales methodology Proven track record of meeting and exceeding sales targets Excellent communication, negotiation, and presentation skills Strong relationship-building skills with decision-makers and stakeholders Quick learner and fast adapter to new products, tools, and processes

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 PMM Team Lead to own how Lusha is positioned, explained and brought to market. You will lead a team and be responsible for positioning, messaging, go-to-market plans from A to Z, feature releases, partnerships and sales enablement. You’ll work side by side with Sales, Product, Customer Journey Marketing and Creative Design, making sure that what we build reaches the right users with the right story, and that the business impact is visible in the numbers. This might be for you if: You’re a storyteller who knows how to turn a complex technology into a message people understand and remember. You care about the numbers. You want to know exactly how your work moves the business, and you’re passionate about seeing the needle move. You understand brands and users, and you build messaging from real user insight. You enjoy working across functions and getting Sales, Product, Marketing and Design aligned around one plan. You like leading people: growing a team, setting a high bar and leading by example. You love launching - from the initial GTM plan to release and post-launch follow-up. You have a proven track record in partnerships and sales enablement, and you know how to build alliances that actually help sales teams win. Requirements 6+ years of experience in Product Marketing at product companies, including at least 2 years of people management Experience in B2B SaaS or sales and data intelligence Experience leading a team, including setting goals and strategy for the team Strong positioning, messaging and storytelling skills, with a technological mindset Hands-on experience owning go-to-market plans and feature or product launches end to end Experience in competitive intelligence and market research Experience using customer and field insights (voice of customer) to shape messaging Proven ability to influence the product roadmap by bringing market and customer insights to Product Ability to measure impact and connect marketing activity to business results Excellent cross-functional collaboration, especially with Sales, Product, Marketing and Creative teams Experience in global markets High-level English Hands-on experience with AI tools (GenAI)

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 BI & Data Engineering Team Lead to join our BI team and take end-to-end ownership of high-impact analytics foundations while mentoring a team of 4-6 talented BI Data Engineers. This role sits at the core of how Lusha measures success, makes decisions, and scales—turning raw data into trusted, business-critical insights used across Product, GTM, and Finance. In this role, you'll combine people leadership with hands-on technical depth (roughly 30% of your time), owning the roadmap, architecture, and delivery of Lusha's BI platform. You’ll shape how AI and agentic workflows transform the way BI is built and consumed, helping raise the bar for analytics engineering across the company. Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed 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 enjoy owning data foundations end to end — from raw data to semantic layers while leading and growing people You like turning ambiguous business questions into clear, governed metrics and scalable data models You care about data quality, performance, and trust at scale, as well as optimization and FinOps practices You enjoy mentoring, setting technical standards, and leading by example with a hands-on approach (~30%) You actively leverage AI tools and agentic automations to improve development speed, analytical accuracy, and metric governance Requirements 6+ years of experience in Data Engineering / BI roles, including 3+ years leading and managing a data or BI team Proven experience owning scalable, end-to-end data ecosystems, including team roadmaps, architecture decisions, and cross-functional delivery Deep experience with modern data stacks (Databricks and/or Snowflake) and modern transformation frameworks Advanced SQL and Python skills, including data quality, CI/CD, and observability Strong understanding of dimensional modeling, data warehousing, and semantic layers Proven experience using GenAI tools and AI-assisted development (e.g., Claude Code) as part of your day-to-day development workflow A strong builder mindset, business orientation, and ability to lead cross-functional initiatives Nice to have: Experience leading a data platform migration Experience with incremental processing patterns and FinOps optimization practices

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 a Full-Stack Developer to join our squad and work on one of Lusha's core products, used by thousands of users across a large number of accounts, from enterprise companies to very small businesses. The role covers backend infrastructure as well as a significant frontend. Our group works deep inside data, beyond the classic full-stack and backend worlds. A large part of the group's responsibility involves data. There are no domain boundaries here: you'll work on a wide range of tasks and technologies. 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 don't just take tasks. You look at the product, care about it, and suggest how to improve it When you get a task, you talk to everyone you need to and own it end to end You care about what happens after deployment: how users use what you built, how it's monitored, and what worked or didn't You work agent-first: you run multiple AI models in parallel while staying hands-on and proactive You've built or improved AI tools for your team that made real processes more efficient, beyond code review You enjoy meeting users and making an impact on a large user base Requirements 4+ years of Full-Stack experience: You build and ship end-to-end features for production UIs, not just backend APIs. TypeScript & React Expert: Deep proficiency in TS on both client and server. Strong hands-on experience with modern React and state management (e.g., TanStack Query, Zustand). AI-Native Engineering: You build software "agent-first." You leverage tools like Claude Code or Cursor daily, going beyond basic prompting to build MCP integrations, custom skills, and AI-driven workflows that multiply team velocity. Backend & API Architecture: Solid experience with Node.js (NestJS preferred) for building scalable microservices and robust APIs. Data & Databases: Deep understanding of SQL and PostgreSQL, including schema design and query optimization at scale. True Production Ownership: You deploy your own code and actively use logs, monitoring, and product analytics to ensure system health and user success. Nice to have Building AI product interfaces, such as streaming chat UIs or rendering agent outputs Micro-frontends, or building and publishing shared R versioning) Databricks / Spark, or other large-scale data pipelines Temporal or other workflow orchestration Kafka in production: partitioning, consumer groups, replays Kubernetes, Docker and CI/CD Observability and analytics tools such as Coralogix and Amplitude

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 Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how Lusha measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance. You'll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company. Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed 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 enjoy owning data foundations end to end — from raw data to semantic layers You like turning ambiguous business questions into clear, governed metrics You care about data quality, performance, and trust at scale You enjoy mentoring, setting standards, and leading by example You actively leverage AI tools to improve development speed and analytical accuracy Requirements 5+ years of experience in BI / Data Engineering roles with ownership of scalable data platforms Deep experience with modern data stacks (Snowflake or Databricks, dbt) Advanced SQL and Python skills, including data quality, CI/CD, and observability Strong understanding of dimensional modeling, data warehousing, and semantic layers Experience with orchestration tools (Airflow) and large-scale data processing Proven experience using GenAI tools as part of your day-to-day development workflow A strong builder mindset, business orientation, and ability to lead cross-functional initiatives Nice to have: Experience with streaming technologies (Kafka, Spark)