לוח משרות דרושים מהנדסים בתל אביב יפו, לחיפוש זה נמצאו 1,277 משרות

we are looking for a Mechanical Engineer.
Description:
Design, develop, and implement mechanical designs.
Design electromechanical mechanisms.
Provide support to production and ensure compliance with deadlines, quality and cost targets.
Collaborate with cross-functional design teams such as hardware, electronics, and software.
Collaborate with outsourced validation and manufacturing partners to ensure timely supply of systems and devices on spec.
Develop electro-mechanical enclosures and packaging.

Were looking for a Senior Frontend Engineer to shape how customers experience our company- from first impression to daily workflows.
This role is for someone who cares about pixel-perfect UI, high quality, and moving fast - without cutting corners. Youll own major parts of the product, work closely with design, and ship features that are both elegant and reliable.
What you will do
Build scalable, production-grade web experiences that set a high bar for UX, quality, and performance.
Take features end-to-end: clarify requirements, design the UI/architecture, implement, test, ship, monitor, iterate.
Drive frontend architecture: component patterns, state management, performance, DX, and maintainability.
Collaborate tightly with Product, Design, and Backend to deliver cohesive experiences and fast iterations.
Raise the bar: improve UI consistency, quality practices, and velocity through good engineering.

Were hiring a Senior AI Analyst to join our Research team and help shape our AI-driven cybersecurity platform. In this role, youll dig deep into how our AI agents perform, uncover whats working and where the opportunities are, and turn that analysis into insights that shape the roadmap, strengthen the product, and drive customer value and growth.

Were a small, experienced, and tight-knit engineering group at our company, building an advanced AI-powered solution for medical research.
Our platform empowers researchers and healthcare organizations to define populations, analyze real-world data, and accelerate scientific discovery responsibly and securely.
Weve been working together for years, driven by a shared mission and a culture that values delivery, ownership, quality, and impact.
Were now looking for another meaningful team member to join us! Someone who loves to build, cares deeply about user experience, and wants to make a real difference in healthcare through technology.
Design and build rich, data-centric web applications used by researchers worldwide.
Work across the stack with a strong emphasis on frontend architecture, performance, and UX, while collaborating with backend and AI engineers.
Deliver high-quality, scalable, and secure software features end-to-end.
Contribute to architectural discussions, product direction, and team culture.
Help push forward a cutting-edge medical AI co-pilot that turns complex data into actionable insight
Be part of a small, highly capable team where every engineer has a real voice and visible impact on the product, the technology, and the mission.
Work with people who care deeply about craftsmanship, collaboration, and purpose - not just shipping features.
Build technology that directly advances medical research and improves lives.
Enjoy autonomy, ownership, and end-to-end responsibility, from concept to production.
Join a company that blends startup agility with a clear, long-term vision to transform healthcare through AI.

We are looking for a Senior AI Platform & Innovation Engineer to join the AI Engineering Group in Tel Aviv.
This role is focused on designing and building the foundational AI platform that powers next-generation AI capabilities across products and engineering teams. You will help shape our AI strategy by building reusable platform capabilities, evaluating emerging AI technologies, and developing production-grade AI systems that enable developers, products, and business teams across the company.
What Youll Do:
Design and build reusable AI platform capabilities used across multiple products.
Architect and implement production-grade agentic systems, including multi-agent workflows, tool orchestration, memory and planning capabilities.
Design and build internal AI platforms such as organizational knowledge (Brain), AI developer tools, autonomous engineering workflows, and shared AI services.
Research, evaluate and integrate emerging AI models, frameworks and developer tools into the platform.
Collaborate closely with Data Science teams to transform research into scalable production-ready AI capabilities.
Design end-to-end AI architectures, from data ingestion and retrieval to orchestration, model integration and production deployment.
Build and operate production AI services using modern cloud-native technologies.
Improve the reliability, scalability and observability of AI systems.
Define engineering standards, reusable patterns and best practices for AI development across engineering teams.
Lead technical proof-of-concepts and drive adoption of innovative AI technologies.
Mentor engineers and provide technical leadership on complex AI initiatives.

Were looking for a Staff Software Engineer to join our engineering team in Tel Aviv. Discovery is a Big Data / AI platform that helps the worlds largest brands understand what matters to their audiences - combining web, video, and social content with TV and commercial viewership data.
What Youll Do:
Plan, implement, and take full ownership of core features across Discoverys backend services (audience targeting, keyword-association search, and the core management API), owning the entire development cycle.
Collaborate cross-functionally with Product, TSE, and DevOps on design and architecture decisions.
Work on the audience-activation layer that bridges Discoverys audience data to downstream targeting systems, including TV, streaming, and commercial viewership signals.
Participate in refactoring system components and modernizing the stack to improve performance and stability.
Lead and mentor other developers, providing guidance on complex, cross-service projects.

We're looking for an experienced Full Stack Engineer to join our growing team and take a key role in building and shaping our web application. Youll own features end-to-end - from design and architecture through development, testing, and production - working directly with customers and stakeholders to deliver a world-class product.
What You Will Do
Own and develop our web application end to end, spanning frontend and backend, from design through production
Build rich, data-driven user interfaces and dashboards using Next.js and React
Design and implement scalable backend services and APIs that power the our company platform
Work with AWS infrastructure, including RDS and ClickHouse, to deliver high-performance data-driven features
Collaborate closely with product, design, and customers to translate complex security workflows into intuitive experiences
Participate in architectural decisions and help define technical direction as an early member of the engineering team
Take full ownership and accountability for features and projects - from ideation to deployment and monitoring.

As a Senior DevOps Engineer at our company, youll build and scale the cloud-native platform behind an AI-native analytics product processing millions of inference requests across multiple LLM providers.
This is a role for someone that can own infrastructure projects end-to-end from Kubernetes and CI/CD to observability and security, while improving developer velocity and reliability at scale.
Responsibilities
Build and scale production Kubernetes infrastructure for AI workloads
Own CI/CD standards and delivery pipelines across teams
Improve reliability, observability, and incident response at scale
Implement secure, scalable IaC foundations (Terraform/Crossplane)
Build internal tooling and self-service workflows to improve DevEx
Drive cloud architecture decisions across availability, performance, and cost.

Our Business Analytics team is looking for a passionate and analytical team player to join us.
In this role, you'll take ownership of the deep analysis behind our brands' performance, turning complex data into actionable business insights. You'll analyze customer funnels, monitor key KPIs, evaluate experiments, and partner closely with cross-functional teams to drive data-informed decision-making.
As part of our AI-first approach, you'll also help shape how analytics is performed across the organization by leveraging AI tools, improving analytical processes, and raising the overall standard of our analytics function.
This is an excellent opportunity for a strong individual contributor who is looking to make a significant business impact without a managerial track.
Responsibilities:
Explore and analyze large-scale data across our sources (internal DWH / Databricks lakehouse, Google BigQuery, GA4, and more) to understand and improve brand and business performance.
Own the deep analysis of each brands funnel and KPIs - explain what drives conversion, AOV/AIV, revenue per visitor and retention/LTV, and pinpoint where the funnel leaks and why.
Run the analysis behind A/B and pricing experiments end to end, and deliver a clear ship / iterate / kill recommendation.
Lead an AI-first approach to analytics - use AI and agents to analyze faster and deeper, and to build self-serve insight for non-analysts.
Shape how the analytics function works - champion high-quality data practices, set standards through best practices, drive standardization and scale, and mentor and guide other analysts.
Generate actionable insights through queries and data-visualization tools (Tableau), and turn them into recommendations that drive business decisions.
Initiate new projects and ideas that anticipate the companys needs.

As a Senior Full Stack Engineer at our company, youll be a core builder owning high-impact product modules end-to-end from design to production, in a hyper-growth environment. Youll lead architecture and performance for data-heavy experiences used by Fortune 500 marketing teams, delivering beautiful, scalable systems at extreme speed.
This role is for someone who naturally becomes the main driver, turning ambiguity into production-ready execution.
Responsibilities
Build end-to-end product modules (frontend, backend, APIs, infra)
Own architecture and delivery from design to production
Build data-heavy systems supporting billions of rows and fast UX
Drive sub-400ms performance via full-stack latency optimization
Create reusable React components and shared frontend patterns
Partner with Product & Design to deliver pixel-perfect features
Lead by example through ownership, execution, and mentorship.

we are looking for a Customer Integration Engineer to own the full integration lifecycle for our clients - from onboarding through to ongoing support - and to help establish and enrich our integration capabilities with media vendors and various platforms.
As a Customer Integration Engineer, your role will be:
Own the full integration life cycle from definition to deployment, serving as the primary point of contact for clients during the integration phase.
Client facing, responsible for orchestrating the integration process of every new client - translating customers business objectives into technical requirements and executions.
Serve as a resource for clients, guiding them in navigating complex marketing to ensure a successful and speedy data and analytics integration.
Monitor, work to improve, and ensure that clients integration and data pipeline are functioning well.
Collaborate with clients to understand their technical needs and provide tailored solutions.
Troubleshoot, scope, and debug integration issues - handling complex technical problems through collaboration across teams.
Monitor changes on partner platforms (e.g., new API versions, breaking changes) and coordinate accordingly.
Gather feedback from clients and internal teams to continuously refine the technical side of the onboarding experience.
Identify and implement tools to facilitate easier integration and onboarding for clients.
Liaise between clients and internal teams to communicate client needs and expectations effectively.
Participate in cross-functional meetings to provide insights and updates on client integration progress.
Create specification documents and improve integration documentation, including platform tours, instructional explanations, and potentially videos.
Initiate and execute automation planning.

our company sells a sophisticated analytics platform that combines marketing science, causal inference, and machine learning. Prospects often ask complex questions about measurement methodology, modeling assumptions, validation processes, and how results should be interpreted.
The Sales Engineer will play a critical role in the sales process by translating the technical depth of the platform into clear, compelling explanations for marketing leaders, analysts, and data teams. You will partner closely with the sales team during the sales cycle, support product demonstrations, answer technical questions from prospects, and help build trust in the methodology behind the platform.
This role sits at the intersection of sales, product, and data science.
As a Sales Engineer your role will be:
Join sales calls and product demonstrations to explain the platforms methodology and analytical approach to help overcome technical objections
Answer technical and methodological questions from prospects during the sales process.
Help prospects understand how our company differs from traditional attribution, MMM, or experimentation approaches.
Support the sales team in moving deals forward by building trust in the platforms measurement framework.
Deliver clear and engaging product demonstrations tailored to different audiences (CMOs, growth teams, data scientists, analysts).
Translate complex modeling concepts into intuitive explanations that marketers can understand.
Customize demo narratives based on the prospects marketing stack and challenges.
Support proof-of-concept discussions and pilot programs
Explain the underlying modeling logic and how the system measures incrementality.
Walk prospects through validation methods, case studies, and experimental comparisons used by customers.
Help prospects interpret platform outputs and understand how to operationalize insights.
Work closely with product and data science teams to stay current on platform capabilities.
You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most.
We believe in helping each other get most of ourselves rather than do what were not interested in doing.

Were looking for a Senior Frontend Engineer who is obsessed with turning complex data into seamless, high-end user experiences. At our company, the frontend is where our AI engine meets the human element-meaning youll be responsible for building intuitive, polished, and performant interfaces that make sophisticated security insights accessible. If you want to define the visual identity of a category-leading product and set the engineering standards for our frontend from day one, we want to talk.
What You'll Do:
Build the user experience for our platform from the ground up.
Create intuitive interfaces that surface critical insights from complex security data.
Work closely with product and design to define and refine the user experience.
Optimize applications for performance, scalability, and accessibility.
Shape our frontend architecture, standards, and engineering practices.

We're looking for a Fullstack (Product) Engineer who lives at the intersection of craft and product sense:You care as much about why we're building something as how it feels in the user's hands. You're an engineer who connects naturally with other engineers, and who enjoys mentoring and ramping up the people around you.
You'll own experiences end-to-end from the first PRD conversation to the KPI dashboard weeks after ship. You'll shape our component library, raise the bar on our frontend infra, and help define what "good" looks like across the R&D org. This isn't a role where you get handed pixel-perfect mocks and a closed ticket. You'll have opinions, and we'll want to hear them.
What you'll do:
Craft the experience. Design and build polished, performant UI in Vue 3 (Composition API) from the tiny interaction details to the data layer behind them.
Own the full journey of a feature. Partner with Product on the PRD, define the KPIs that actually matter, ship it, then track whether it moved the needle and iterate honestly if it didn't.
Shape the component library. Evolve our patterns, primitives, and the infra that lets the whole team build faster without sacrificing quality or consistency.
Go full-stack when it counts. Write Node (NestJS) services and work across our data stack (Postgres, Snowflake, ClickHouse) to deliver features truly end-to-end.
Push AI-assisted development forward. Build the guardrails, skills, and workflows that let engineers contribute code quickly and safely you'll help make AI a force multiplier for the whole team, not a liability.
Raise the bar org-wide. Your taste in UX, and code quality should ripple well beyond your own team.