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We are seeking an agile, hands-on R&D Lead who excels at rapid learning and making smart, pragmatic decisions to drive our core data engineering squad in Tel Aviv. We care less about years spent in formal management or having a decades-long resume, and much more about your ability to take extreme ownership, learn new paradigms on the fly, and keep the team moving forward.


In this role, you will help architect, write, and deploy the Python-based infrastructure that processes millions of records daily and serves them at sub-second latency to autonomous AI systems. You will guide the design of high-scale data pipelines, integrate semantic search paradigms, and build out our agentic connectivity layer. If you are a proactive decision-maker who thrives on optimizing complex systems and wants to build the infrastructure that LLMs rely on to understand the real world, this is your next role.


Key responsibilities
Execution & Decisive Leadership: Lead the technical delivery by setting the pace and making pragmatic architectural choices that keep the team moving forward. You prioritize shipping and iterating over analysis paralysis.
Hands-On Development (Python): Roll up your sleeves and remain technical. Write clean, concurrent, and scalable Python code to handle data ingestion, transformation, and serving pipelines.
Continuous Learning & Tech Agility: Work across a polyglot environment. You dont need to know every tool on day one, but you must be eager to rapidly evaluate, learn, and adopt the optimal databases, message brokers, and execution frameworks to manage technical debt.
Agentic Infrastructure & MCP: Deploy systems that allow autonomous agents to seamlessly query our datasets. You will help build and scale our Model Context Protocol (MCP) servers, translating LLM intents into highly optimized database queries.
High-Scale Data Pipelines: Oversee an end-to-end data architecture capable of supporting continuous ingestion, error cleansing, and near-real-time refreshing of a 1B+ record database while enforcing GDPR and CCPA compliance.
Search & Retrieval Integration: Design and optimize advanced search capabilities, leveraging vector databases, embeddings, and hybrid search techniques to ensure absolute precision when AI models query our data.

Tech is at the center of everything we do at our company and we're looking for people who are builders at their core. From developers to visionaries and everything in between, we want minds who aren't just interested in putting the pieces together but who can find new ways to innovate. Solid communication, creative problem solving and business understanding are all prerequisites. So, if you're tech savvy, inquisitive, and ready to take the road less traveled, the company Technology team might be right for you.
We're looking for a Senior DevOps Engineer with a strong security orientation to join our company's DevOps team.
our company's platform runs at significant scale, and our DevOps team sits at the core of keeping it fast, reliable, and secure. As we grow, so does the scope of what we own - we need an engineer who can step in as a strong pillar of our company's production ecosystem.
This is a hands-on role for someone who takes security seriously, moves fast, and knows how to get things done in a complex, high-scale environment.
our company's Technology Stack:
AWS, GCP, CLoudFlare ,Kubernetes, Terragrunt, Ansible, Jenkins, ArgoCD, Argo Workflows, Kong & Nginx, HashiCorp Vault, Kafka, RabbitMQ, Mongodb, Aurora Postgresql & Mysql, Prometheus, Grafana, VictoriaMetrics
Programming languages: Python, NodeJS, Go, Kotlin
What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

We're looking for a Devops & Deployment team lead to lead one of the most critical domains - how our product is deployed, integrated, and operates within our customers' environments.
This is a highly hands-on leadership role, combining deep technical involvement with ownership of the domain and team. You will lead and grow a team of engineers while remaining closely involved in architecture, design, and critical parts of the system.
You will own the deployment domain end-to-end - from infrastructure and backend services to customer experience - and play a key role in shaping how delivers its product across AWS, Azure, GCP, and on-prem environments.
This role sits at the intersection of engineering, product, and customer-facing delivery, with direct impact on customer success and company growth.

we are looking for a
The Senior Backend Engineer team (Data Team) builds the systems that discover, understand, and govern customer data at petabyte scale. We turn raw enterprise data into the security signal the rest of the platform builds on, working on problems like distributed systems running inside customer clouds, analytics over large data lakes, and detection logic that has to be both precise and fast. Youll work end-to-end and ship features that every customer uses.
Responsibilities:
Designing and implementing core components within the classification and policy stack, including microservices, ETLs, and shared libraries
Owning features end-to-end: design, implementation, rollout, testing, monitoring, and production operation
Conducting design and code reviews with the team and across R&D
Driving scale, performance, and cost optimizations against multi-tenant data-lake workloads
Partnering with AI/ML, Research, Product, and Frontend to ship cross-functional initiatives

Working in Product means making bold decisions with the data you have. You're the type that always asks, Is there a better way? From product managers to designers to researchers, the people who thrive here are strategic by nature, curious by default, and comfortable sailing without a full map. So if you challenge assumptions and know how to bring multiple stakeholders together, the company Product team might be your place.
What am I going to do?
Make an impact: Grow the business by shaping how freelancers are represented, discovered, and ranked on our company- improving match quality and driving successful outcomes for clients and freelancers alike.
Lead a multidisciplinary team: Collaborate with engineers, designers, and data scientists to drive product delivery and innovation across the freelancer experience.
Own the freelancer intelligence layer: Define how our company collects, validates, and uses freelancer skill and proficiency signals - turning data into reliable inputs that enable precision matching for clients seeking the right expertise.
Drive the freelancer experience: Continuously improve the surfaces freelancers use to understand and grow their business on our company- onboarding, performance dashboards, and the level system.
Develop and execute roadmaps: Create strategic product roadmaps and lead their execution, balancing short-term delivery with long-term platform thinking.
Collaborate across teams: Work with stakeholders from Search, Ranking, Data Science, and the client-side product team to align on a shared direction and amplify impact.

Marketing is about obsessing over an audience until you know what they want before they realize it. From brand managers to performance marketers to CRM specialists, the people we're looking for are bold, data-driven, and always convinced there's a better way to do it. So if you watch the Super Bowl for the ads, the company Marketing team might be looking for you.
The Senior SEO Specialist will help define and drive our company's SEO strategy to fuel scalable organic growth across global markets for the core company marketplace, with a strong focus on complex marketplace dynamics and US/global search opportunities. This role requires a strategic and hands-on SEO expert who combines deep technical SEO expertise with a strong understanding of how search is evolving beyond traditional rankings into AI-powered discovery experiences.
The ideal candidate is an experienced SEO and organic growth professional with a strong background in large-scale platforms or marketplaces, and a proven ability to operate in fast-moving, cross-functional environments. The Senior SEO Specialist will partner closely with Product, Engineering, Analytics, Content, and Marketing to build scalable processes, shape roadmaps, prioritize high-impact opportunities, and connect organic growth efforts directly to business performance.
In this position, you must be highly data-driven, deeply technical, and fluent in both classic SEO and emerging Generative Engine Optimization (GEO), including visibility across AI search experiences such as Google AI Overviews, ChatGPT, and other LLM-powered discovery surfaces.
What am I going to do?
Collaborate with SEO team members to develop and execute effective strategies and tactics.
Develop, Manage, and optimize SEO strategies to improve organic search engine performance
Monitor and analyze multiple datasets to make data-driven decisions
Work with Product, Development, and Marketing teams to ensure correct implementation of SEO recommendations and best practices and to identify areas of improvement.
Stay up-to-date with the latest tools, trends, and changes with SEO and major search engines, adapting strategies as necessary.

We are seeking a highly experienced Software Architect to join our team and take ownership of designing and developing complex systems that directly impact our technology. In this role, youll work cross-functionally with R&D teams to build solutions that address critical needs, drive efficiency, and lead meaningful processes within the organization.
Responsibilities:
Architectural Design & Strategy: Define and develop scalable and efficient system architectures.
Mentorship & Technical Leadership: Guide and mentor R&D teams, ensuring best practices and high-quality technical decisions.
Raise the Bar - Inspire and guide the team to achieve excellence in software engineering, consistently setting high standards for outstanding delivery.
Cross-functional Collaboration: Work closely with engineering, product, data science teams, and other stakeholders to translate business needs into technical solutions.
Problem Solving: Analyze and resolve complex technical challenges with innovative solutions.
Performance Optimization: Ensure system reliability, scalability, and performance through architectural improvements.