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Required Director, Engineering
Welcome to a highly disruptive, high-velocity "startup within a startup" rewriting the rules of corporate travel. Edge is an AI-powered personal assistant and concierge service built exclusively for the frequent business traveler. We are fusing always-on conversational AI, capable of learning preferences, executing complex bookings, and stacking high-value rewards like hotel loyalty and credit card multipliers, with a seamless handoff to a 24/7 VIP human concierge. We are looking for a visionary, execution-obsessed Director of Engineering to take the helm. This is your opportunity to lead the end-to-end engineering of a bleeding-edge, user-facing AI product on a global scale.
What Youll Do:
Lead the Trajectory from Ground Zero to Global Scale: You will start with a lean, highly focused scope to deeply internalize our business, product, and operational DNA. From there, your growth is driven by your impact. As you prove your success, you will have the potential to scale your scope across a multi-disciplinary organization-with opportunities to also lead data science, model training, mobile, and data domains, while developing a top-tier team of EMs to help you lead your organization.
Own Your Domain End-to-End: You will have absolute E2E ownership over your specific product area and technical domains within. You will be directly accountable for driving critical business metrics like booking volume, conversion rates, and system latency, while maintaining a strategic eye on optimizing our AI inference costs.
Provide Hands-On AI Technical Leadership: Guide the architectural vision and execution of our modern AI stack. You will drive the implementation of LangChain, Nest.js, Vector DBs, and advanced RAG architectures, leveraging open-source LLMs and fine-tuning models to deliver an unmatched user experience.
Drive Cross-Functional Execution: Act as the technical engine collaborating seamlessly across Product, Marketing, and Operations. You will partner with and present to senior executives, ensuring technical roadmaps aggressively align with our disruptive business objectives.
Build a World-Class Culture: Act as a talent magnet. You will recruit, mentor, and retain top-tier engineering and AI talent, fostering a culture of high velocity, intense empathy, and unyielding technical excellence.

In this role, you will be responsible for designing, building, and implementing robust, secure, and highly scalable cloud architectures. You will work closely with clients to understand their business and technical needs, formulate cloud strategies, and lead complex cloud migration and modernization projects. Your expertise will enable our customers to leverage the full potential of the cloud to drive innovation and business growth.

Key Responsibilities:
Collaborate with clients to gather requirements, define their cloud strategy, and understand their business challenges.
Design and architect scalable, highly available, and secure cloud-native environments and enterprise-grade infrastructure.
Lead cloud migration initiatives, including re-hosting, re-platforming, and refactoring applications for the cloud.
Conduct Well-Architected reviews to ensure existing cloud environments are optimized for security, reliability, performance, and cost-efficiency (FinOps).
Design and implement Infrastructure as Code (IaC) to automate the provisioning and management of cloud resources using Terraform.
Provide technical leadership and guidance on cloud security best practices, networking, and identity and access management (IAM).
Stay up-to-date with the latest cloud trends, emerging technologies, and new services offered by major cloud providers.

This is a full-time, on-site role for a Data Engineer Ltd., located in Haifa. The Data Engineer will design, build, and maintain scalable data pipelines, implement robust Extract, Transform, Load (ETL) processes, and develop efficient data models to support business intelligence and data analytics needs. The role also involves building and improving data warehousing solutions and collaborating with cross-functional teams to ensure data integrity and optimize workflows.

We are looking for a Forward Deployed Egngineer with a strong performance marketing background to lead the deployment and success of our solution for a small number of enterprise customers.
You will own the full post-sale lifecycle, from implementation through ongoing optimization, working directly with growth, data, and engineering teams at some of the world's leading consumer apps. Your focus is on signal quality, experiment design, and driving measurable impact on paid acquisition performance.
This is a high-ownership role for someone who thinks in terms of ROAS, CPA, and bidding strategy, and can also get deep into data and systems to make it happen. You will be the primary point of contact for your accounts, lead engagements end-to-end, and translate performance data into clear decisions.
Success means turning your customers' best predictive signals into compounding growth on Google and Meta.
Responsibilities:
Performance and experimentation:
Design and structure pilots across Google Ads and Meta, including campaign selection, budget approach, bidding strategy, and success criteria
Evaluate experiment results and iterate based on performance signals
Help customers understand performance drivers, attribution, and how to scale what works
Monitor model and signal performance; identify issues early and intervene
Implementation and signal quality:
Lead end-to-end implementation across a small portfolio of enterprise customers
Adapt solution design and data strategy to each customer's ad tech stack and measurement setup
Ensure strong match rates, data accuracy, and signal reliability across conversion APIs and MMPs
Troubleshoot integration and data issues in collaboration with internal teams
Customer partnership and execution:
Own day-to-day execution across multiple engagements
Lead ongoing customer communication with both technical and senior growth stakeholders
Coordinate across product, engineering, and go-to-market teams
Build long-term trust through reliability and strong outcomes.

We are looking for the next Data Analyst to join our growing team!
If you enjoy working in a dynamic and fast-paced startup environment, this opportunity is perfect for you! Our customers come from a wide range of industries, populating our datasets with extraordinary amounts of rich and diverse data.
Responsibilities:
You will be a part of the Data team and work with a wide range of data sources and types
Be an integral part and improve our data pipeline and the client onboarding process
Be in charge of analyzing complex datasets and translating them into valuable insights.
Work closely with our clients and understand their needs.
Data visualization both for internal and external purposes.
You will take a significant role in the AI model design and creation
Build data analysis infrastructure.

We are looking for a Lead Software Engineer - Innovation Team to join our growing our new engineering innovation team who build our new product offering with our clients!
Our newest product line - a small, fast-moving team operating like a startup inside the company. While our core offering helps customers acquire better users and spend less doing it, Engage turns that intelligence inward: re-activating churned, dormant, and low-value users who are already on our customers' platforms. As a Senior Software Engineer, you'll work directly alongside the team's engineering lead, building the systems that take machine-learning predictions about user behavior and turn them into automated, continuously-learning decisions delivered straight into our customers' DB and CRM tools. This is a role with no narrow lane - you'll touch literally everything: data pipelines, ML and algorithms, applicative backend services, and even the UI. You'll partner closely with a VP Product and senior data scientists in a high-ownership environment where you shape the architecture, ship to production, and see your work drive a brand-new revenue stream for the company.
Responsibilities:
Design and build high-quality, production-grade systems across the entire Engage stack, from large-scale cloud data pipelines, to ML and decisioning services, to applicative backend and customer-facing UI, with an eye for performance, reliability, and easy maintenance.
Own the closed loop end-to-end: turning ML predictions into automated decisions, delivering them into customers' DB and CRM systems, and feeding outcomes back in so the system keeps learning.
Take features from idea to production largely on your own: designing the architecture, shipping it, monitoring it in production, and iterating, with the autonomy (and accountability) that comes with a small team.
Collaborate closely with the team's engineering lead, the VP Product, and senior data scientists to take models and research from prototype to reliable, scaled-up production systems.
Monitor performance and prioritize work by making data-driven decisions.
Participate in code reviews and uphold engineering standards and best practices across the team.

We are looking for a Senior Software Engineer to join our growing Data Infrastructure team!
The team's main responsibility is developing our data platform - from building the microservices and pipelines that onboard customer data into our platform, to the infrastructure and tooling that enables our internal data teams to analyze, transform, process, and collect data independently. Our goal is to build leverage: every feature we ship reduces friction for the teams that depend on our platform. We're looking for a builder who takes full ownership from inception to production, cares deeply about quality and performance, and leverages AI tools to move faster and deliver better outcomes.
Responsibilities
Design and implement scalable, production-grade data pipelines and microservices that ingest, transform, and move data from a wide variety of customer sources at high volume.
Build and maintain high-performance backend services and APIs that interface with our data ecosystem, ensuring reliability, low latency, and security.
Develop and evolve the platform infrastructure - data warehouse, orchestration, compute - that internal data teams rely on daily.
Identify opportunities to automate recurring workflows and turn ad-hoc needs into robust, self-serve platform capabilities.
Collaborate with data scientists, analysts, and engineers across R&D to translate requirements into platform features.
Drive code quality through design reviews, code reviews, and adherence to engineering best practices.
Leverage AI tools throughout the full engineering cycle - from scoping and design to implementation and debugging - to deliver faster, higher-quality outcomes.

Required Product Manager
Product, Ramat Gan, Israel (Hybrid)
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections.
Our mission is to establish a trusted environment for singles to cultivate real human connections with genuine individuals, fostering significant relationships through a best-in-class experience integrated directly within the ecosystem
As a Product Manager, you will be a driving force of our growth. You will navigate high levels of ambiguity to pioneer a scaling product domain, leveraging our massive scale.
Responsibilities:
Drive the Dating Product Strategy (0-to-1 & Scale): Closely impact the multi-year vision, roadmap, and core product surface. Turn strategic ambiguity into a clear, executable roadmap, making critical tradeoffs to deliver measurable business and user impact.
Product Discovery & Innovation: Drive continuous product discovery through wireframes, prototypes, and user research. Navigate how we welcome new users, how we facilitate exploration, how we help people connect authentically
Executive Leadership & Cross-Functional Alignment: Act as the domain leader, collaborating with global executive stakeholders, design, engineering, analytics, marketing, and Trust & Safety teams. Bring people along by communicating complex ML logic and product strategy clearly to both technical and non-technical audiences.
Data-Driven & Evidence-Based Decisions: Lead a KPI-focused mindset. Use A/B experiments, behavioral data, and qualitative research to guide your decisions when signals are imperfect.
From product to revenue: Drive monetization opportunities that are win-win for our customers.
Mentorship & Excellence: Raise the bar for the entire product organization. Push your team and peers for excellence by setting a high standard for product craft, documentation, and user-centric thinking.

Required Data Engineering Manager
Data, Ramat Gan, Israel (Hybrid)
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.
If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities:
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

As a Senior Software Engineer, you will not just write code-you will own problem spaces end-to-end. From shaping scope to aligning across functions, youll drive technical excellence and delivery within the team. Youll mentor and coach other engineers, help set the quality bar, and influence the long-term architecture and culture of the engineering organization.

This is a hands-on leadership role where youll be expected to contribute directly, while also enabling others to deliver and grow.

What Youll Do
Own projects end-to-end: from scoping, design, and implementation to delivery and ongoing improvement.

Drive technical alignment and foster collaboration across functions and teams.

Set and maintain the engineering quality bar through best practices, reviews, and continuous improvement.

Mentor, coach, and support the growth of other engineers on the team.

Balance architectural decisions with business needs, scalability, and delivery timelines.

Design and build maintainable, extensible, and performance-minded services / APIs.

Advocate for modern engineering practices.

We are looking for enthusiastic, experienced, and versatile DevOps for taking over multiple responsibilities under the company One Engines group.
We are working with the most cutting edge technologies, building a new and exciting cloud platform using mainly Golang, gRPC, Redis, PostgreSQL, Kubernetes, Docker, and more.
How will you make an impact?
You will make a substantial impact by improving the development lifecycle and accelerating features to production, ensuring a swift and efficient delivery process.

Join our mission to build and scale the engineering platform behind a leading SaaS cybersecurity solution trusted by enterprises worldwide.
We are looking for a passionate DevOps Group Lead. You'll lead a strategic engineering organization responsible for the platforms, infrastructure, and automation that power our software delivery lifecycle. You'll manage four Team Leaders and their engineering teams, driving innovation across CI/CD, Kubernetes, AWS, developer platforms, and cloud operations while enabling fast, secure, and reliable software delivery.
This is a leadership role for someone who combines strong technical expertise with exceptional people leadership and a passion for building high-performing engineering organizations.
How will you make an impact?​
Lead, mentor, and develop 3 Team Leaders and their engineering teams, fostering a culture of ownership, collaboration, and continuous learning.
Define and execute the DevOps and Platform Engineering strategy supporting a large-scale SaaS cybersecurity platform.
Own the architecture, scalability, availability, security, and operational excellence of our cloud infrastructure and engineering platforms.
Drive the evolution of modern CI/CD pipelines, Kubernetes platforms, Infrastructure as Code, GitOps, and developer self-service capabilities.
Partner closely with Engineering, Product, Security, Architecture, and R&D leadership to accelerate software delivery while maintaining the highest standards of security and reliability.
Lead cloud-native initiatives with a strong focus on AWS, Kubernetes, automation, and platform standardization.
Establish engineering metrics, operational KPIs, SLOs, and continuous improvement initiatives across the organization.
Champion DevSecOps best practices and embed security into every stage of the software delivery lifecycle.
Lead organizational planning, hiring, budgeting, prioritization, and execution while supporting the growth and development of future engineering leaders.

For an innovative start-up company that develops revolutionary 5G private network software solution, were looking for a technical enthusiastic senior software engineer experience with Linux based real time applications, Kernel optimizations, virtualization and SRIOV networking as well as Kubernetes and containers run time environments. In this position, you will define the technologies and architecture for the product and lead the implementation and field testing and deployments.