דרושים » תוכנה » Head of Engineering

In this role, you will lead a team of Machine Learning Scientists and Engineers dedicated to building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on our companys extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers.
As a technical manager, you should be passionate about GenAI technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML roadmap, and not be afraid to get your hands dirty with code when needed.
You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.
When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.
Key Job Responsibilities and Duties:
Leadership in LLM Development- Build, Guide and mentor a team of ML scientists and ML engineers in the development, fine-tuning, and deployment of large language models (LLMs) tailored for the travel domain.
Expertise in the engineering aspects of deploying LLMs at scale with minimal latency. This includes optimizing model performance, scalability, and efficiency to meet the demands of real-time, high-traffic applications.
Define and communicate the technical vision and strategy for LLM-related initiatives, ensuring alignment with company goals and customer needs.
Foster a culture of collaboration, innovation, and excellence within the team.
Prioritize work in collaboration with Product Managers, depending on business needs and keeping stakeholders aligned at all times.
Translate machine learning vision and strategy into planning and execution, and ensure timely delivery of their plans.
Develop innovative ML models, algorithms, and engineering approaches or identify existing ones, with the potential to impact our business.
Design and execute applied research plans to understand, apply, test, evolve, and generalize these technologies into reusable frameworks.
Translate business problems into viable, reliable and robust ML and AI solutions, accounting for constraints of the production environment.
Monitor product health, performance and business impact and act accordingly when requirements are not met.
Identify underlying issues and opportunities across domains and situations that are not obviously related through application of structured thinking and logic.
Solve issues by applying methods and insights gained from a variety of disciplines, navigating a variety of environments.

Were looking for an inspirational and experienced Director of R&D to lead our Talent Group, focused specifically on our Sellers journey. This is a critical leadership role that combines strategic technological oversight with a commitment to fostering a world-class engineering culture. You will be instrumental in defining and executing the technology roadmap, working closely with the VP of R&D and the Talent business leaders to ensure our sellers experience is powered by cutting-edge technology and a deeply Embedded AI-first approach.
What am I going to do?
Lead and Mentor: Oversee and mentor multiple team leads and their respective engineering teams, driving high performance, accountability, and professional growth across the domain. Set Technological Vision: Define and drive the technology roadmap for the Talent group, ensuring all systems are scalable, reliable, and leveraging the latest advancements in AI and data -driven solutions. Drive AI Innovation: Champion an "AI mindset" across all teams, leading the charge in integrating hands-on AI tools into product development and internal processes. Cultivate Culture: Partner closely with the VP of R&D and senior management to nurture a positive, inclusive, and high-velocity engineering culture built on technical excellence. Strategic Collaboration: Work cross-functionally with Product, Design, and Platform to translate business objectives into impactful technical strategies and deliver tangible value to our sellers.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are proud to be expanding our leadership team with a VP of Engineering & GM to lead our Israel office and the Enterprise engineering team in Tel Aviv. This is a mission-critical part of our global engineering organization. Youll oversee a growing team of 50+ engineers and partner closely with Product, Security, and GTM teams to ship high-impact and high-quality cybersecurity solutions.

As well as being a technical leadership role, youll serve as the General Manager of our Israel office, shaping the culture, operations, and global connectivity of the site. Youll play a key part in shaping how our globally distributed teams work together bringing alignment, clarity, and cohesion across time zones and functions.

Youll partner closely with our CEO, CTO, and SVP of Engineering, navigating seamlessly across multiple senior stakeholders while driving both local excellence and global alignment. With deep technical expertise in cybersecurity and AI, and strong operational and commercial presence, youll play a pivotal role in building a safer, more human Internet.

This role reports to our SVP & Global Head of Engineering and is based in Tel Aviv.

Responsibilities

Engineering & Technical Leadership
Lead, grow, and mentor a 50+ person R&D team based in Tel Aviv, covering backend, frontend, data engineering, and more.

Set high standards for software design, architecture, performance, and reliability.

Work closely with Product and Research teams to define and deliver on our product roadmap.

Collaborate with global Engineering peers to drive cohesive execution, system design, and technical decision-making.

Drive innovation in AI/ML and modern security architectures, ensuring we remain at the forefront of defending the internet.

Technical Brand & Thought Leadership
Contribute to our external technical brand through blogs, conference talks, open-source contributions, or community leadership.

Be a culture carrier for engineering excellence and cross-functional collaboration.

Expand the Engineering brand in Israel and globally as a thought leader in cybersecurity and AI.

Were looking for an experienced and visionary VP of R&D to lead and scale engineering organization. This is a key leadership position, reporting directly to the CTO, responsible for driving technical strategy, execution, and delivery across multiple product lines.
You will lead our delivery teams, work closely with Product and Architecture, and ensure we build a secure, scalable, and innovative cloud-native platform.
As part of the management team, you will shape company strategy, influence culture, and take ownership of production environment and overall R&D success.
Responsibilities:
Lead R&D organization, including multiple engineering teams, architects, and managers.
Drive execution and delivery of core platform and new product initiatives.
Collaborate with Product to plan, prioritize, and deliver features from concept to production.
Oversee production stability, performance, and security, ensuring smooth operations at scale.
Guide technical direction and architecture decisions across the platform, addressing challenges in multi-tenancy, scaling, and cloud-native systems.
Mentor and develop managers and engineers, creating a culture of ownership, accountability, and excellence.
Recruit and structure the R&D organization for the next phase of growth, attracting top talent and building an elite team.
Champion innovation and experimentation, encouraging teams to push the boundaries of whats possible.
Partner closely with the executive team to align R&D with business strategy and deliver measurable impact.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Senior Algo Data Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

we are seeking an Engineering Team Lead to join our R&D organization, reporting directly to the Senior Director of R&D.
This role is ideal for someone who can drive strategy and execution across infrastructure, data, and application domains, while guiding a multidisciplinary team of senior engineers.
As an Engineering Team Lead you will lead a cross-functional team responsible for the systems, tools, and infrastructure that power our entire organization.
This includes ownership of DevOps, data engineering, internal IT, integration frameworks, and the development and operation of both internal and external-facing applications.
Your team plays a critical role in ensuring enterprise readiness, operational excellence, and long-term scalability across all technical domains.
Responsibilities:
Lead & mentor a senior, cross-functional team of Software Engineers, DevOps Engineers, Data Engineers, and IT professionals.
Drive strategy & execution for production infrastructure, CI/CD pipelines, data platforms, internal tools, and external integrations.
Ensure operational excellence in all aspects of infrastructure, deployment, monitoring, and stability.
Own internal platforms and tooling supporting enterprise readiness, scalability, and cost-efficiency (FinOps).
Oversee application lifecycle for both internal-facing tools and client-facing (outbound) applications.
Partner with the rest of R&D and product teams to align technical decisions with business priorities.
Establish engineering best practices across DevOps, data, security, and reliability disciplines.
Foster a culture of experimentation, ownership, and flow within your team.

We are looking for a Engineering Team Lead.
As an Engineering Team Lead, you are the technical anchor of a cross-functional product team.
Your mission is to cultivate a high-velocity engineering culture where end-to-end ownership is the norm and shipping to production multiple times a day is the standard.
Operating within a Product Operating Model, you will lead a team of engineers in a high-performing environment, empowering them to leverage a modern, diverse tech stack to solve complex problems.
Your goal is to build an engine of impact where innovation moves fast, quality remains high, and engineers are autonomous owners of their craft.
Key Responsibilities:
Delivery Management: Own the teams delivery lifecycle. You will drive predictable shipping cadence while managing technical debt and ensuring that velocity never comes at the expense of stability.
Team Leadership & Growth: Mentor and coach engineers at all levels, fostering their professional growth, conducting performance reviews, and building a cohesive, psychologically safe team environment.
Operational Excellence & Quality: Champion a culture of craftsmanship. Establish high standards for code quality, testing, monitoring, and incident response, ensuring your systems are robust, secure, and reliable.
Product Strategy & Discovery: Partner with Product and Design to lead Continuous Discovery, validating ideas quickly and ensuring the team builds solutions that drive measurable business outcomes.
Technical Direction: Guide the architectural vision and technical decision-making of the team, balancing immediate product needs with long-term system health and scalability.

We're seeking a Mid to Senior Data Engineering Manager to join our Cloud Identity & Perimeter, a critical component of our security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.
What You'll Do:
Lead and mentor a team of data engineers building high-performance data processing pipelines
Define technical strategy and architecture for complex data transformations using Apache Spark
Oversee development of real-time data streaming solutions using Kafka and scalable ETL processes
Drive cross-functional collaboration with product, security research, and engineering teams to deliver high-impact security features
Establish best practices for data modeling, query optimization, and storage patterns for large-scale distributed systems
Manage team performance, including hiring, career development, and performance reviews
Balance technical execution with strategic planning and resource allocation
Champion operational excellence through code reviews, system monitoring, and continuous improvement initiatives
The Technology Stack:
Languages: Go, Java, Python
Big Data: Apache Spark, Kafka, Apache Iceberg
Databases: Cassandra, Elasticsearch, Postgres, MongoDB
Cloud Platforms: AWS, GCP, Azure
Infrastructure: Docker, Kubernetes, Git.

We are looking for an experienced full-stack team lead to join our R&D organization, lead the design and development of large-scale, data-oriented applications.
In this role, you will manage a talented team of full-stack engineers while remaining hands-on and technically involved in building our core SaaS security platform.
You will play a key role in shaping system architecture, driving technological innovation, and ensuring the delivery of robust and scalable solutions in a fast-paced, dynamic environment.
Key Responsibilities :
Lead and mentor a team of full-stack engineers, guiding them in design, development, and delivery of complex projects.
Drive the architecture and implementation of data-centric applications using modern technologies and cloud infrastructure.
Lead a fast-moving development team, ensuring strong execution and teamwork in a dynamic environment
Collaborate with QA, Product, Design, and DevOps teams to ensure system scalability, reliability, and performance.
Conduct code reviews, enforce best practices, and foster a high-quality engineering culture.
Research and integrate new technologies to overcome technical challenges and improve productivity.
Own full project lifecycle, from requirement gathering and design to deployment and monitoring in production.