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For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
On your day to day
As a Full Stack Tech Lead, youll set the technical direction for end-to-end development across frontend and backend, ensuring scalability, performance, and high-quality standards. Youll design robust solutions, guide architectural decisions, and improve development workflows. The role combines hands-on coding with mentorship and leadership, working closely with cross-functional teams to deliver impactful product features.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the The FED Infra Team
The FED Infra Team at our company is dedicated to accelerating all engineering teams by providing robust standards, dependable infrastructure, and sophisticated tooling. Our core mission is to enable the business by eliminating technical barriers, allowing product teams to innovate rapidly without the overhead of duplicating efforts. Furthermore, the team manages the infrastructure for a key high-performance page - the users dashboard - facilitating the integration of micro-frontends by other teams, and maintains our centralized React component library.
On your day to day
As a Frontend Tech Lead, youll set the technical direction for our frontend infra, ensuring consistency, quality, and performance. Youll design scalable solutions, improve developer workflows, and guide teams through complex architectural decisions. The role blends hands-on coding with mentorship and leadership. Youll help make our companys engineering faster, smoother, and more resilient.

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
Orchestration Platforms: Apache Airflow, Dagster, Prefect
Transformation Tools: dbt, SQLMesh.
AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with us as a vector store, ML feature stores, and LLM-powered data applications.
our columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make us the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do
Own and evolve our Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
Drive the AI/LLM integration strategy: designing connectors and patterns that make us a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

As a dedicated DevSecOps, you will bridge the gap between code and infrastructure to build a fortress around our creators' content. Youll spend your time defining and implementing high-level security processes while rolling up your sleeves to fix vulnerabilities alongside our DevOps team. From architecting DSPM strategies for massive distributed video data to hardening our SDLC, you will be the ultimate owner of our security posture. You wont just be monitoring dashboards; youll be collaborating directly with developers to ensure security is a fundamental part of our engineering.

Were hiring a DevOps Engineer to join our growing DevOps team. You'll be working hands-on with modern AWS-native technologies, helping us scale secure and observable cloud environments, while partnering closely with developers to build and ship reliably.
Responsibilities
Manage scalable, production-grade AWS infrastructure with Terraform
Maintain Kubernetes clusters, including deployments, autoscaling, and ingress
Handle cross-service communication using Kafka, SQS, or PubSub
Set up observability and alerting using Grafana, Prometheus, and log aggregation tools
Maintain CDN for traffic protection, rate limiting, and caching
Manage and improve CI/CD workflows using GitHub Actions and ArgoCD
Collaborate directly with developers on environment setup, debug sessions, and deployments
Implement IaC and GitOps patterns across services and teams
Participate in production operations, incident response, and on-call rotations

At our company, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether its real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in. Were growing fast and looking for a Backend Core Group Lead to own and scale our core media processing infrastructure.
On your day-to-day
As the Backend Core Group Lead at our company, you will lead a team of backend and video engineers responsible for the companys media processing pipeline. Youll own the architecture and scalability of both real-time and offline processing systems, ensuring top performance and cost efficiency. Working closely with our AI, Product, and Infrastructure teams. Youll drive innovation in how our company processes and optimizes large-scale video and audio data using distributed systems and cloud-native technologies, while establishing best practices for monitoring, observability, and quality control across the entire processing stack. Beyond the technical leadership, youll mentor and grow engineers, fostering technical excellence and a culture of ownership, creativity, and impact.

We are a team of energetic, persuasive, smart and result-driven individuals, responsible for creating business opportunities for our sales team in order to keep our revenue skyrocketing. From identifying and prospecting to cold-calling, creating email reach-outs workflows and scheduling meetings to our Account Executives, the Business Development team is what keeps our company growing!
On your day to day
We will equip you with all the tools and best practices to be the best in business development: researching, identifying and engaging high-potential leads, initiating outbound outreach through calls and emails, qualifying opportunities and setting the stage for meaningful sales conversations.
Working days are Mondays to Fridays, our offices are located in Tel-Aviv.

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of our Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness our incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make us feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

Were looking for a Backend AI Engineer to own and build our companys agentic AI architecture. This role sits at the intersection of backend engineering and production-grade AI systems. Youll design, build, and scale the backend that powers our AI creators, enabling intelligent, reliable, and observable agentic workflows at scale.
Youll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. Youll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform.

Were looking for a seasoned Enterprise Account Executive to help expand our customer base and shape the future of ClickHouse adoption in Israel. This is an exciting opportunity to join after the general availability of our serverless Cloud product and play a pivotal role in defining how it is positioned and adopted in the market.

Our ideal candidate brings both business acumen and technical depth, capable of guiding customers with specialized expertise to help them achieve their objectives and unlock the full value of us.

What Youll Be Doing:
Identify and nurture opportunities, build pipeline, and close short term Cloud monthly contracts, while simultaneously developing a strategic Enterprise business with complex sales cycles.
Evangelize our vision and solutions to secure strategic commercial commitments.
Take a solution-based approach to selling, delivering clear business value for customers.
Champion the innovation behind our Cloud, driving awareness and adoption.
Manage customer details, including use cases, timelines, and forecasting, within Salesforce.
Deliver accurate monthly business forecasts.
Contribute to the ecosystem by engaging in local developer meetups and helping organize our specific community events.

our company empowers creators and businesses to create high-quality audio and video content, trusted by global companies like Spotify, TED, and NBC. We're building the leading platform that turns real conversations into powerful video, podcasts, webinars, and whatever comes next.
Were looking for a full-time Assistant Controller to join our growing finance team in Tel Aviv. This role reports directly to the Controller and is ideal for someone who thrives in a fast-paced environment, takes ownership, and brings a strong hands-on approach to every task.
Wake up for this:
Take part in the day-to-day finance operations of the company.
Play a key role in the month-end, quarter-end, and year-end closing processes.
Support the preparation of consolidated financial statements in accordance with US GAAP.
Manage and support US payroll processes and employee-related finance operations.
Work closely with external auditors, tax advisors, and service providers.
Analyze financial results and provide insights to management on a monthly basis.
Support deal-related financial processes, including customer agreements, billing flows, and revenue-related operations.
Build and improve financial processes that can scale with the companys growth.
Prepare reports, reconciliations, and ad-hoc analyses as needed.
Ensure compliance with local and international reporting requirements.
Be willing to roll up your sleeves and work hard in a demanding, high-performance environment.
Take ownership of tasks end-to-end with strong attention to detail and accountability.

Description
For many of us there's that one podcast we never miss, and video content is part of our daily routine, whether it's professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. That's exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our company's technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.

we are looking for a C++ Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!
Responsibilities
Design and implement multi-architecture and cross-platform software solutions in C++ for Linux and Windows OS.
Maintain software application interfaces in Java, Python, and C#.
Contribute to the full life-cycle development, integration, and deployment of software solutions in advanced testing equipment.
Collaborate within a multidisciplinary team environment across scientific and engineering disciplines.
Conduct code reviews to enhance software engineering quality.

'קwe are looking for an experienced and hands-on DevOps Team Lead to bridge the gap between individual engineering execution and strategic leadership. Reporting directly to the DevOps Director, you will guide a team of DevOps Engineers, drive technical excellence, and ensure the smooth delivery of infrastructure, automation, and CI/CD capabilities across the organization. This role combines technical depth with people leadership - you are equally comfortable reviewing a Terraform plan and running a team retrospective.
Responsibilities
Team Leadership & Management
Lead, mentor, and support a team of DevOps Engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Conduct regular 1:1s, provide constructive feedback, and support the professional growth of team members.
Coordinate workload distribution, sprint planning, and prioritization across the team in alignment with organizational goals.
Act as the primary point of escalation for technical challenges within the team.
Work closely with the DevOps Director to translate the DevOps roadmap into actionable team-level objectives.
Technical Execution
Design, implement, and maintain CI/CD pipelines using GitHub Actions and ArgoCD.
Manage and evolve cloud infrastructure across AWS, Azure, and/or GCP using Terraform, Helm, and Kubernetes.
Lead automation initiatives to improve deployment reliability, system scalability, and developer productivity.
Ensure robust observability through Prometheus, Grafana, and ELK, and participate in incident management and on-call rotations as needed.
Champion infrastructure security best practices, including secrets management (Vault) and container security.
Collaborate with R&D, QA, and Product teams to streamline release processes and resolve deployment bottlenecks.
Process & Governance
Define and enforce DevOps best practices, coding standards, and documentation guidelines across the team.
Drive post-incident reviews and implement learnings to prevent recurrence.
Monitor infrastructure costs and propose optimization strategies to the DevOps Director.

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.
Location: Tel-Aviv in hybrid model.
Responsibilities
Develop advanced ML algorithms using data from our company Agents embedded in silicon. Example domains include:
Lifetime predictions
Clustering and dimensionality reduction
Parametric modeling and screening
Time-series forecasting
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.