לוח משרות דרושים מהנדסים בתל אביב יפו

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.

In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.



We are looking for a Data Engineer to join our team and help advance our Apps solution. Our product is designed to provide detailed and accurate insights into Apps Analytics, such as traffic estimation, revenue analysis, and app characterization. The role involves constructing and maintaining scalable data pipelines, developing and integrating machine learning models, and ensuring data integrity and efficiency. You will work closely with a diverse team of scientists, engineers, analysts, and collaborate with business and product stakeholders.



Key Responsibilities:

Develop and implement complex, innovative big data ML algorithms for new features, working in collaboration with data scientists and analysts.
Optimize and maintain end-to-end data pipelines using big data technologies to ensure efficiency and performance.
Monitor data pipelines to ensure data integrity and promptly troubleshoot any issues that arise.

As an AI Backend Engineer at SimilarWeb, you will be a key player in building our new AI platform, AI Studio. This platform aims to provide users with instant answers to complex market research questions, generate world-class reports, and create live, interactive, and powerful dashboards. Our goal is to reduce the complexity and time-to-insight for our users, helping them streamline their market tasks and achieve automation that drives real value.



Responsibilities:

Design and develop LLM-based intelligent agents that can handle complex market research queries.

Utilize LangGraph and other frameworks to create state of the art AI agents that integrate various tools and data sources.

Implement integrations that allow agents to take automated actions on behalf of users, streamlining workflows and reducing overhead.

Collaborate with product, data, and UX teams to ensure that AI solutions are aligned with user needs and business goals.

Continuously evaluate and improve the performance of AI models to ensure high-quality and data-driven results.

We are looking for an experienced and customer-focused Support Engineer with Professional Services Expertise to serve as a key technical resource. This role focuses on troubleshooting, resolving application issues, and providing expert support to ensure customer success. The ideal candidate has a strong background in cybersecurity, cloud technologies, and customer-facing roles, with a dedication to delivering exceptional solutions.

Key Responsibilities
Technical Troubleshooting and Support:
Provide expert-level troubleshooting for application issues, configurations, security vulnerabilities, and general functionality.
Work closely with customers and internal teams to diagnose and resolve complex technical challenges.
Investigate application behaviors and anomalies, identifying root causes and recommending appropriate solutions.
Escalation Management:
Take ownership of escalated support cases, ensuring timely and thorough resolution.
Identify patterns in recurring issues and contribute to permanent fixes or workarounds.
Collaborate with development and product teams to address root causes and improve application reliability.
Customer Communication:
Maintain clear, professional, and proactive communication with customers throughout the support lifecycle.
Ensure solutions are tailored to meet customer needs while setting accurate expectations.
Professional Services Collaboration:
Partner with sales and other internal teams to deliver professional services, enhancing customer adoption and satisfaction.
Assist with onboarding, integrations, and custom configurations as needed.

We are looking for a creative and passionate Customer Success Engineer to join the Web & Cloud management group, and be the star of our journey of growth and delighted customers of Smart-1-Cloud (our new Cloud product)

The Customer Success Engineer will own the Customer related technical activities and communications, while being practically part of the Smart-1-Cloud product development team.

Smart-1-Cloud is a new cloud product at the inception phase, in the future the responsibility may expand to additional products in the Security Management area.

Key Responsibilities
As part of the team you will master and perform all the technical actions needed for this SaaS product to serve the customers properly.
Be a focal point for escalation from Customer Support (TAC) & Customer Focus Group (CFG) and periodically transfer knowledge and training.
Proactively approach customers on relevant occasions and maintain a rich dialogue with the customers, understanding and improving their experience.
Monitor & analyze the Customer journey in various scenarios: On-boarding, Support, Renewal.
Provide technical and product assistance during the onboarding process for key customers

Harmony SASE is building the next generation of secure access services - enabling organizations to connect users, sites, and applications safely and seamlessly from anywhere.

As part of our ongoing innovation, were expanding our capabilities around AI-driven development and automation. The Dev AI Infra & Tools team leads this transformation -building the internal platforms, data pipelines, and tooling that empower our engineers to design, test, and deliver faster, smarter, and more securely.

Youll work hands-on with LLMs, automation frameworks, and internal developer systems - experimenting, prototyping, and building real solutions that change the way we work.

Key Responsibilities:
Design and develop AI-driven internal tools and frameworks that enhance developer productivity.
Build and maintain the infrastructure that supports LLM-based workflows, data pipelines, and automation systems.
Prototype quickly - testing new ideas and iterating based on real feedback and performance data.
Collaborate with DevOps, backend, and product engineers to identify high-impact use cases for AI and automation.
Evaluate new AI technologies and bring the most promising ones into production.
Help define metrics for efficiency and continuously improve development velocity and experience.