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The Collab Unit is looking for an exceptional Team Leader to lead the Audience Team. The Audience Team is responsible for building the products and infrastructure that enable customers to create, manage, and activate high-value audiences across multiple channels and marketing use cases. This is a strategic domain at the heart of how customers derive value from AppsFlyers behavioral data.
As the team leader, you will manage a multidisciplinary engineering team and help shape the future of audience building and activation. You will work closely with product, architecture, data, and other engineering teams to deliver scalable, reliable, and user-centric solutions. This role requires a strong engineering leader who is passionate about building excellent teams, solving complex data and backend challenges, and driving execution in a fast-moving environment.

What Youll Do:
Lead and grow a high-performing engineering team responsible for end-to-end ownership of audience-related products and capabilities.
Drive the design and delivery of scalable backend systems and data flows that power audience creation, enrichment, segmentation, and activation.
Partner closely with Product, Design, Architecture, and cross-functional engineering teams to define and execute the team roadmap.
Translate product and business goals into clear technical plans and ensure predictable, iterative delivery.
Stay hands-on and involved in architecture discussions, design reviews, and code reviews.
Foster a strong engineering culture of ownership, collaboration, quality, and continuous improvement.
Mentor and develop engineers, supporting their professional growth and helping them reach their full potential.
Recruit top talent and build a healthy, balanced, and effective team
Ensure high production standards, operational excellence, and system reliability.
Promote curiosity and technical excellence by evaluating new tools, technologies, and approaches where relevant.
Take an active role in shaping the broader engineering direction of the Collab Unit together with fellow team leaders.

We are looking for an R&D Group Lead to take ownership of the SaasLab group - leading multiple engineering teams responsible for the core platform services that every product of us depends on. You will drive the technical vision and execution or architectural transformation while ensuring the reliability and scalability of our SaaS foundation.

The position requires a strong architectural mindset, experience leading platform and infrastructure-level work, and the ability to balance long-term technical strategy with continuous delivery of business value.

What youll do:
Lead and mentor a group of engineers and team leads across multiple domains (core entities, access & API gateway, billing & integrations), fostering growth in design, architecture, and people leadership.
Own the SaaS platform end to end - ensuring high availability, security, and operational excellence of the systems that underpin every product.
Drive and execute an architectural transformation: decoupling from legacy data stores, building a resilient domain model, and adopting modern patterns like GraphQL Federation.
Work closely with product managers and cross-functional stakeholders, taking accountability for group deliveries and ensuring teams ship on time with excellent quality.
Lead technical initiatives, processes, methodologies, and architectural decisions across the group.
Drive AI Products development, SDLC and process improvements via cutting edge tools and methodologies.
Be a meaningful and major member of AFOS leadership team and influence the units engineering vision, processes, and culture

We are looking for a seasoned and execution driven R&D Team Lead. This role focuses on leading a software engineering team, developing and delivering strategic business impact. As part of this role you will build and grow a strong team of engineers. You will be part of shaping our R&D technological excellence, driving new initiatives and defining the architecture to support our evolving business growth. You will work in a global environment with highly-skilled product managers, analysts and other engineering teams reporting to the VP R&D.

Build and lead a strong team of 4-6 software engineers fostering a culture of ownership, collaboration, and technical excellence.
Take end-to-end ownership of key domains within a complex, high-impact system, driving technical decisions, execution, and outcomes.
Use AI-powered development tools and agentic technologies to improve teams velocity and quality.
Remain hands-on across a modern full-stack environment contributing directly to production while guiding others.
Our stack - GCP (and AWS), React/Node.js (TS), Golang and MySQL.

We are looking for a seasoned and execution driven R&D Team Lead. This role focuses on leading a software engineering team, developing and delivering strategic business impact. As part of this role you will build and grow a strong team of engineers. You will be part of shaping our R&D technological excellence, driving new initiatives and defining the architecture to support our evolving business growth. You will work in a global environment with highly-skilled product managers, analysts and other engineering teams reporting to the VP R&D.

What Youll Do?

Build and lead a strong team of 4-6 software engineers fostering a culture of ownership, collaboration, and technical excellence.
Take end-to-end ownership of key domains within a complex, high-impact system, driving technical decisions, execution, and outcomes.
Use AI-powered development tools and agentic technologies to improve teams velocity and quality.
Remain hands-on across a modern full-stack environment contributing directly to production while guiding others.
Our stack - GCP (and AWS), React/Node.js (TS), Golang and MySQL.

Were on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building the AI application foundation behind our next-generation cyber-AI product.
This team owns the core backend and frontend infrastructure that powers all user-facing applications - as well as the agentic and conversational frameworks that bring intelligence and automation into the experience.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the systems that enable every other Engineering group to create fast, scalable, and intelligent apps on top of our platform.
The Dream-Maker Responsibilities
Lead a multidisciplinary team responsible for backend services, frontend frameworks, and AI agent infrastructure - the technical bedrock of our product experience.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and build robust frameworks and systems that power all customer-facing applications.
Develop the agentic and conversational architecture enabling LLM-powered user interactions and intelligent workflows.
Collaborate with AI research, data, and product teams to seamlessly integrate AI-driven capabilities into production systems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building our Sensor.
This team owns the entire endpoint agent, which is the backbone of our collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
The Dream-Maker Responsibilities
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

Our technology combines an online video platform with a machine learning-based yield engine, giving media owners the control, scale, and transparency they need to thrive.
What drives us is simple: were stronger together, always evolving, and radically transparent. Collaboration fuels our best work, innovation keeps us ahead, and honesty builds lasting trust with our colleagues, partners, and customers. We are proudly backed by The Walt Disney Company, Saban Ventures, Viola Group, 83North, and others.
Now were growing our team-and thats where you come in. Were building a place where talented people make an impact, ideas spark change, and everyone has a seat at the table.
What you'll do:
Full ownership and management of our monetization serving layer
Support and manage 99.999 uptime infrastructure products with billions of transactions every day.
Grow and develop a team of talented and motivated backend developers.
Own the design, execution, quality, and end-to-end delivery of highly scalable products.
Manage projects in order to ensure that all projects are delivered on time, within the scope, and within budget, and eventually meet the end clients in production
Collaboration with stakeholders as Business, Product, Operations inc.

Required ML Engineering Team Lead - Applied AI Engineering Group
The Dream Job
It starts with you - a technical leader driven to build both the ML platform and the engineering team behind it. You care about reliable infrastructure, great developer experience, and growing engineers through real ownership. You'll set the technical direction for our ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - shaping how models reach production across cloud and on-prem, including air-gapped deployments. A significant part of the platform supports large language models, with unique challenges across training, evaluation, and inference in mission-critical environments. You stay close enough to the codebase to debug production issues, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the ML platform driving Sovereign AI products - this role is for you.
The Dream-Maker Responsibilities
Set technical direction for the ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - through RFCs, prototypes, design reviews, and build-vs-buy decisions
Lead and grow a team of ML Engineers - hire, mentor, pair on hard problems, and raise the bar through code and design reviews
Contribute to critical systems, debug production issues, and maintain deep context on the codebase to inform technical decisions
Own operational excellence for model serving - set and enforce SLAs, run capacity planning, and keep compute costs predictable
Establish ML engineering standards - reproducible experiments, automated evals, model packaging, CI/CD for models, and observability
Support the full lifecycle of our models - from training on domain-specific data to low-latency inference powering production systems
Work closely with Data Platform, AI, Data Science, and Product teams - translate business priorities into engineering work and manage cross-team dependencies
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as model performance.

Required AI Engineering Team Lead - Applied AI Engineering Group
Tel Aviv Full-time
The Dream Job
It starts with you - a technical leader driven to build both the agentic AI platform and the engineering team behind it. You care about backend quality, platform reliability, and growing engineers through real ownership. We are AI-first across the board - every team builds and operates agents. You'll set the technical direction for the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation infrastructure, tool-calling systems, and retrieval pipelines. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments. You stay close enough to the codebase to debug production incidents, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the agentic AI platform driving Sovereign AI products - this role is for you.
The Dream-Maker Responsibilities
Architect and evolve the AI platform - agent orchestration, LLM gateways, context engineering pipelines, evaluation infrastructure, tool-calling systems, and retrieval pipelines - through RFCs, prototypes, and design reviews.
Lead and grow a small team of AI Engineers building the agent framework, production backend services, and AI platform infrastructure - hire, mentor, pair on hard problems, and raise the bar through hands-on code and design reviews.
Contribute to critical systems, debug production incidents, and maintain enough codebase context to make sound technical calls.
Own reliability across AI and agent services - set and enforce SLAs, build observability for non-deterministic systems, and harden tool execution environments for cost and security.
Set the standard for AI engineering practices - agent testing strategies, evaluation frameworks with human-in-the-loop oversight, retrieval quality benchmarks, and CI/CD for AI systems.
Work closely with ML Platform, Data Platform, DevOps, Data Science, and Product teams across the Applied AI Engineering group - ensure the AI platform evolves to serve teams building agentic workflows across the organization.
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as system performance.

we are looking for a Software Development Manager.
As a Software Development Manager, you'll lead an elite team of development engineers to define, drive and execute on our product vision. You will invent and ship software that directly impacts our end customer experience. You'll develop your team of highly motivated and talented builders who can collaborate with applied scientists, product managers, technical specialists, and principals across the company.
Responsibilities:
- You'll lead the overall development life cycle of software solutions and manage complex projects with significant impact.
- Coordinate with your senior engineers to develop the best technical design and approach for product development.
- Assure that your team's designs meet requirements, and deliver high-quality work on tight schedules.
- Prioritize, plan projects and features, manage partners, and track external commitments.
- Monitor operation of production services to ensure Operational Excellence.
- Foster the career development of your direct reports.

Realize your potential by joining the leading performance-driven advertising company!
As a Team Leader on the advertiser side ML group in our TLV Office, youll play a vital role in shaping how user intent is modeled at scale and how rich behavioral data is transformed into smarter recommendations. You will lead the design and evolution of large-scale Deep Learning models that directly improve advertiser performance and marketplace efficiency. By guiding team members and driving technical direction, youll turn modeling gaps into scalable production solutions. Your work will influence how millions of users discover content and how advertisers achieve measurable impact.
How youll make an impact:
Lead the design and evolution of our companys models
Own end-to-end ML delivery in production
Lead and develop ML engineers
Translate marketplace objectives into modeling strategy
Play a part of our companys tech organizations growth in the agentic development era.

Realize your potential by joining the leading performance-driven advertising company!
As a Team Leader on the advertiser side ML group in our TLV Office, youll play a vital role in shaping how user intent is modeled at scale and how rich behavioral data is transformed into smarter recommendations. You will lead the design and evolution of large-scale Deep Learning models that directly improve advertiser performance and marketplace efficiency. By guiding team members and driving technical direction, youll turn modeling gaps into scalable production solutions. Your work will influence how millions of users discover content and how advertisers achieve measurable impact.
How youll make an impact:
Lead the design and evolution of our companys models
Own end-to-end ML delivery in production
Lead and develop ML engineers
Translate marketplace objectives into modeling strategy
Play a part of our companys tech organizations growth in the agentic development era.

Realize your potential by joining the leading performance-driven advertising company!
As a Team Leader on the advertiser side ML group in our TLV Office, youll play a vital role in shaping how user intent is modeled at scale and how rich behavioral data is transformed into smarter recommendations. You will lead the design and evolution of large-scale Deep Learning models that directly improve advertiser performance and marketplace efficiency. By guiding team members and driving technical direction, youll turn modeling gaps into scalable production solutions. Your work will influence how millions of users discover content and how advertisers achieve measurable impact.
How youll make an impact:
Lead the design and evolution of our companys models
Own end-to-end ML delivery in production
Lead and develop ML engineers
Translate marketplace objectives into modeling strategy
Play a part of our companys tech organizations growth in the agentic development era.

Required ML Engineering Team Lead
Why us:
Youll work in an awesome environment alongside some of the most innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). You have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what we have to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
As a ML Engineering Team Lead, you will lead a multidisciplinary team of algorithm and software engineers responsible for designing, building, and operating the next-generation content creation engine. The team focuses on leveraging agentic systems and advanced ML technologies to orchestrate complex, end-to-end production workflows at scale.
In this role, you will translate high-level product and business goals into robust, production-ready solutions, working hands-on across the full lifecycle - from research and system design to deployment, monitoring, and continuous improvement. You will collaborate closely with Product, Platform, Data, and other R&D teams in a fast-paced, agile environment, ensuring that algorithms and software are seamlessly integrated into real-world, high-throughput systems.
You will combine technical leadership, architectural thinking, and people leadership to drive innovation, execution, and delivery, while shaping how intelligent, automated content is created and scaled across our products.
What youll do:
Lead and mentor a multidisciplinary team of algorithm and software engineers, fostering ownership, technical excellence, and professional growth.
Own the delivery of complex, end-to-end systems for automated content creation, from early design and experimentation through production deployment, monitoring, and iteration.
Drive the design and orchestration of agentic systems, working hands-on with the team to integrate ML models, business logic, and software infrastructure across research, engineering, and production at scale.
Translate product and business challenges into technical solutions, defining system architecture, prioritizing initiatives, and guiding execution in an agile environment.
Ensure production readiness and reliability, overseeing deployment, monitoring, performance, and continuous improvement of algorithms and services in a live environment.
Collaborate closely with Product, Platform, Data, and other R&D teams, aligning technical execution with product strategy and business goals in a multidisciplinary setting.
Continuously evolve technically and professionally, encouraging knowledge sharing, joint problem-solving, and awareness of emerging trends in ML, agentic systems, and large-scale software architectures.