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Were looking for an experienced Data Engineer to join our DataWarehouse team in TLV.

In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, youll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.

This is an excellent opportunity to be part of establishing state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.

In this role youll
Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements

Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs

Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer

Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness

Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency

Implement best practices for data warehouse and database performance tuning

Conduct thorough testing of data applications and implement robust validation processes

Collaborate with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers

Were looking for a senior-level backend engineer to join our growing Engineering team in TLV.

This role will require you to bring features to the finish line while collaborating closely with other developers, as well as with the Product, QA, Data, and Machine Learning teamsall with the goal of delivering a seamless, joyful experience for our customers.

In this role youll:
Help build our products using microservices written in Typescript (using NestJS) and Ruby on Rails running over Kubernetes

Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production

Collaborate closely with the Product team, in a self-sufficient squad to achieve the squads OKRs

Be the owner of your domain to ensure code quality, performance, and scalability of our products

Coach and mentor other developers and help them elevate their skills

As part of the Data Infrastructure team, youll help build data platform for our growing stack of products, customers, and microservices.

Our platform ingests and processes data from operational databases, telematics, and diverse product sources. Youll build robust backend services and data processing pipelines, leveraging state-of-the-art frameworks and cloud-native solutions, all while collaborating with Data Engineers, ML Engineers, Analysts, and Product Managers to turn real-world needs into resilient systems.

In this role youll:
Design & Develop Backend Services: Lead the design and implementation of backend systems and APIs for our distributed data platform

Build Data Ingestion & Processing: Architect and develop scalable ingestion pipelines with streaming ETL, Change Data Capture, and large-scale batch and stream processing

Own Data Platform Infrastructure: Implement and optimize scheduling, workflow orchestration, and data governance tools to support high-quality, compliant data flows

Drive Engineering Standards: Establish and promote backend best practices, ensuring high reliability, code quality, and maintainability across the team

Cross-functional Collaboration: Work closely with data engineers, ML engineers, product managers, and analysts to translate business needs into scalable backend systems

Mentorship: Share your backend and infrastructure expertise by collaborating, reviewing, and mentoring fellow engineers.

We are looking for best-in-class Physical Design Power Engineer to join our outstanding Networking Silicon Power engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput, lowest latency and best Power! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you will be doing:

Power Optimization of Physical design, of blocks/top-level/fc under challenging constraints.

Optimization involves all aspects of physical design chip development (RTL2GDS) - synthesis, power and clock distribution, place and route, timing closure, power and noise fixes.

Power estimation and power modeling.

Full technical architectural leadership in Salesforce environments for Enterprise customers. The role focuses on building complex technological architectures, designing and implementing multi-system integrations, planning platform-level security, creating scalability models, and having direct ownership of DevOps and CI/CD processes within Salesforce environments. The emphasis is on Hands-on Technical Architecture – code-level solutions, integrations, and infrastructure. Responsibilities • Planning and leading end-to-end technical architecture in Salesforce environments for Enterprise organizations • Defining architectural principles, design patterns, and governance for Salesforce development and implementation • Designing and implementing multi-system integrations (REST/SOAP APIs, Middleware, ESB, iPaaS) • Designing complex data models, including documentation, handling large data volumes, and ensuring system performance • Ownership of the platform’s security model (Profiles, Permission Sets, Shield, Encryption, Data Governance) • Leading and implementing DevOps & CI/CD processes (Pipeline, Branching strategy, Deployment automation, Release management) • Performing code & design reviews, defining engineering standards, and best practices for Salesforce development • Hands-on work in Apex, LWC, Triggers, Batch/Async, and Integration Services when required • Close collaboration with customer-side teams • Analyzing complex incidents (Production Incidents), performing Root Cause Analysis, and leading technical hardening of the system

As part of the Data Infrastructure group, youll help build Lemonades data platform for our growing stack of products, customers, and microservices.

We ingest our data from our operational DBs, telematics devices, and more, working with several data types (both structured and unstructured). Our challenge is to provide building tools and infrastructure to empower other teams leveraging data-mesh concepts.

In this role youll:
Help build Lemonades data platform, designing and implementing data solutions for all application requirements in a distributed microservices environment

Build data-platform ingestion layers using streaming ETLs and Change Data Capture

Implement pipelines and scheduling infrastructures

Ensure compliance, data-quality monitoring, and data governance on data platform

Implement large-scale batch and streaming pipelines with data processing frameworks

Collaborate with other Data Engineers, Developers, BI Engineers, ML Engineers, Data Scientists, Analysts and Product managers

Share knowledge with other team members and promote engineering standards

You'll drive engineering efficiency and developer experience across our R&D organization, working directly with leadership and our new Dev experience micro-squad to scale how we build and ship products. This role sits at the intersection of strategy and execution, you'll identify friction points, design solutions, and rally teams around changes that unlock velocity for hundreds of developers.

In this role youll
Partner with R&D leadership to define and track engineering metrics that drive organizational performance

Lead cross-functional initiatives to streamline development processes, from ideation to deployment

Build dashboards and analytics that give engineering leaders real-time visibility into team health and productivity

Design and implement automation solutions that eliminate manual work and reduce cycle times

Collaborate with the DX team to identify and solve developer pain points across tooling, workflows, and infrastructure

Drive adoption of new processes and tools by communicating impact and getting buy-in from engineering teams

We're looking for a Senior Full Stack Engineer to be part of the experience platform that powers every client-facing moment at Lemonade. You'll create the building blocks that millions of customers interact with dailyturning complex insurance processes into delightful, instant experiences.

In this role you'll:

Build, integrate, and maintain accessible, performant, and sharable UI components within Uniclient, our unified cross-platform frontend infrastructure, used by millions of users daily.

Drive technical decisions that impact the entire customer journey, implemented in a TypeScript, React, and Node.js environment

Lead performance optimizations and architectural improvements that directly enhance user satisfaction

Contribute to the frontend platform infrastructure, enabling a better developer experience across the company

Own end-to-end feature development from concept to deployment, with AI-powered tools handling routine tasks

Develop user-facing building blocks using cutting-edge browser technologies, ensuring a seamless experience across both desktop and mobile browsers.

The GenAI team builds conversational experiences that feel human and decision engines that learn on their own. If moving from prototype to production with millions flowing through it gets you buzzing, keep reading.

In this role you'll:
Design, build, and own end-to-end Generative-AI services from first prompt to production rollout

Combine retrieval-augmented generation (RAG), function calling, and agents to automate underwriting, claims, and customer support flows

Fine-tune open-source and commercial LLMs on proprietary datasets, evaluate with both offline benchmarks and online A/B tests

Collaborate with product, data science, and design to invent new AI-first customer experiences (and kill the bad ones fast)

Build scalable APIs and micro-services (TypeScript/NestJS or Python/FastAPI) running in Kubernetes on AWS

Instrument, monitor, and continuously improve model quality, latency, and cost you ship it, you own it

Mentor fellow engineers on GenAI best practices: prompt engineering, vector search, safety & guard-rails

Contribute to internal tooling that automates the boring stuff (CI/CD, sandbox environments, branch deploys)

Were looking for a Senior Growth Product Manager with a passion for experimentation, data-driven decision-making, and creating seamless user experiences. Youll join one of our high-impact growth teams, helping drive user acquisition, engagement, retention, and cross-sell opportunities.

This role has the potential to unlock massive revenue growthscaling from millions to billions. Youll define and implement strategies that drive measurable impact, using deep customer insights, A/B testing, and iterative experimentation to fuel sustainable growth.

As a strategic leader, youll set the vision for where we need to go and craft the roadmap to get us therebalancing business goals with customer needs.

In this role you'll:
Own and execute key parts of our growth strategy, from research to launch, focusing on user acquisition, retention, and monetization

Understand customer behavior and pain points, leveraging data, user research, and experimentation to uncover opportunities

Define and track key performance indicators (KPIs) to measure success and continuously optimize for impact

Lead continuous A/B testing and experimentation, using insights to drive iterative improvements

Work cross-functionally with Design, Engineering, Data Science, and Marketing to bring growth ideas to life

Challenge assumptions and rethink the status quo, pushing for bold, innovative approaches to growth

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of Lemonades data ecosystem.

The groups mission is to build a state-of-the-art Data Platform that drives Lemonade toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.

In this role youll :
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams

Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights

Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance

Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights

Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions

Collaborate closely with other Staff Engineers across Lemonade to align on cross-organizational initiatives and technical strategies

Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions

Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization

We are Tailor Brands We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our "Guidance Engine" assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience; we’re simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business. We Need You! At Tailor Brands, our developers take full ownership across the stack - from ideation and architecture to deployment, observability, and maintenance. You’ll craft seamless user experiences, build scalable backend systems, and help shape how AI integrates into our engineering workflows and product development.In our full CI/CD environment, you’ll work closely with a passionate team, leveraging modern technologies and AI-driven tooling to accelerate development, automate repetitive tasks, and deliver high-quality, high-impact solutions that empower millions of small businesses worldwide. Key Responsibilities
* Collaborate with product managers, designers, and fellow engineers to bring ideas to life.
* Build next-generation web applications focused on user experience and scale.
* Create efficient and reusable front-end abstractions and systems, while adopting AI-powered tools that accelerate UI development (e.g., Figma-to-code generation).
* Craft secure, scalable, and maintainable backend services, and contribute to decisions around how AI/MCP capabilities are exposed across microservices.
* Lead architecture design, implementation, and monitoring of solutions.
* Perform code reviews, drive engineering best practices, and help the team adopt AI tools that boost productivity and improve developer experience.
* Champion modern technologies - including AI integrations, MCP patterns, observability, and automation - to push our engineering organization forward.