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As a Fullstack Team Lead, you will lead a team of talented and experienced engineers. You'll take ownership of a significant part of the platform, driving technical architecture and product delivery across the full stack. You'll enable security teams to deploy AI security agents that autonomously manage detection, hunting, containment, and response workflows.

This role combines technical leadership with active contribution: you'll mentor your team, drive engineering excellence, and shape technical direction, tooling, and workflows to support high-scale product growth.

Your responsibilities
Lead, mentor, and grow a high-performing engineering team focused on quality and rapid delivery.
Define and evolve the technical vision and roadmap for your team.
Own end-to-end delivery of business features from concept through production, partnering with Product to ensure successful outcomes.
Drive your team to business impact, working with product and the field.

As a Backend Team Lead, you will lead a team of talented and experienced engineers. You'll take ownership of a significant part of the platform, driving technical architecture and product delivery. You'll enable security teams to deploy AI security agents that autonomously manage detection, hunting, containment, and response workflows.

This role combines technical leadership with active contribution: you'll mentor your team, drive engineering excellence, and shape technical direction, tooling, and workflows to support high-scale product growth.

Your responsibilities:
Lead, mentor, and grow a high-performing engineering team focused on quality and rapid delivery.
Define and evolve the technical vision and roadmap for your team.
Own end-to-end delivery of business features from concept through. production, partnering with Product to ensure successful outcomes.
Drive your team to business impact, working with product and the field.

Were looking for a Full-Stack Developer to join the Halo rebuild: a clean, greenfield rewrite of our OTT sports platform. This is a product-focused role on a lean, senior squad - youll own features end-to-end, from API to UI, and ship them to real fans worldwide.
We develop using agentic engineering methods - specifically the BMad Method, a structured approach where AI agents handle well-defined work in a disciplined, human-supervised workflow. Youll be expected to work fluidly alongside AI agents: reviewing their output, catching their blind spots, and knowing when to take the wheel yourself.
As part of your role, you will:
Build full-stack product features across the Halo monorepo - API routes, business logic, React components, and page layouts.
Work within a Next.js 16 / React 19 frontend (App Router, Server Components, TypeScript) and contribute to shared packages including the design system and domain contracts.
Design and implement API endpoints integrating with upstream data sources: sports data, athlete identity, and media repositories.
Migrate logic incrementally from the legacy platform (NestJS, Node/Express, CodeIgniter PHP) into the new Halo architecture.
Write meaningful tests, contribute to CI/CD pipelines, and uphold code quality in a Bun-powered monorepo with Biome.
Bring product instincts to technical decisions - flag gaps in specs, propose simpler solutions, and push back on scope that isnt ready.

Required Chief Software Architect
We are scaling rapidly - powering live sports production globally, expanding AI-driven highlight and analytics platforms, and building the next generation of athlete and fan-facing experiences. We are looking for a Chief Software Architect to lead the evolution of our end-to-end sports AI technology stack. Youll be responsible for harmonizing our cloud portfolio, integrating streaming infrastructure for over 1.5 million games, ML/AI pipelines, and consumer-facing apps with millions of users into a seamless, scalable solution.
As part of your role, you will:
Establish a unified platform strategy - define the shared services, common data models, and API standards that allow our streaming, ML, and consumer products to continue and scale as a holistic, integrated ecosystem.
Own cloud software architecture - define and maintain the end-to-end architectural vision and practice all the way from streaming to real time analysis and ML and to our data and SaaS solutions.
Drive cross-team alignment - run architecture reviews and design forums; align autonomous engineering teams on a shared technical roadmap.
Lead scalability & performance strategy - identify and eliminate bottlenecks across services, technical silos, redundant infrastructure. compute, storage, and data flows to support 10x growth.
Own security architecture - Build a security-first architecture that automates privacy compliance (GDPR/COPPA) across the entire video and data lifecycle.
Mentor and elevate engineering - act as the go-to technical authority for cross-cutting design challenges and raise the architectural bar across teams.
Leverage AI to accelerate - champion AI-first thinking and tooling across engineering workflows.

Were looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering our AI-native platform.
This is an AI-native engineering role- AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers at our company use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving.
Youll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production.
Key Responsibilities:
AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow.
AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems.
End-to-End Ownership - Own features from architecture and development through deployment and monitoring.
Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS.
Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team.

Required Mobile Engineer
Why we Need You:
We are launching its first native mobile app, and we need engineers who can build it right from the ground up. As our merchants increasingly rely on mobile to monitor their business in real time, we need someone who can think in systems, build performant and resilient mobile foundations, and ensure the app delivers a native-quality experience even under poor network conditions. Your experience building production mobile apps will directly impact how quickly we can ship, how reliably merchants can access their data on the go, and how confidently we can expand the mobile platform as it grows.
What You'll Do:
Build and maintain the React Native mobile app, with a strong focus on performance, offline resilience, and native-quality UX.
Build and maintain mobile UI components by translating Figma designs into production code using a design token system, collaborating with design and product teams to ensure visual parity with web.
Build data-driven screens with real-time streaming data, charts, and complex list rendering optimized for mobile constraints.
Participate in designing the reactive data layer - state management patterns, server-state caching, and offline-first strategies that work reliably across network conditions.
Participate in mobile infrastructure work: navigation architecture, gesture-driven UI, native module integration, and authentication flows.
Contribute to the technical health of the mobile codebase by enforcing architecture standards, optimizing rendering performance, managing bundle size, and making informed build and tooling decisions.
Leverage AI tooling to assist with development workflows - code generation, refactoring, design-to-code alignment - while applying strong engineering judgment to review and productionize results.

Were looking for an Applied Data Scientist to help us build and scale the core marketing science products that power our platform. This role sits at the intersection of data science and engineering: owning statistical models end to end, deploying them into production, and turning advanced analytics into reliable, customer‑facing capabilities. Your work will directly influence how thousands of brands measure ROI and allocate millions in marketing spend.
What Youll Do:
Build marketing measurement and optimization products (e.g., attribution models, MMM, incrementality testing, forecasting systems)
Develop and deploy statistical and machine learning models to production
Create scalable data pipelines and APIs that serve real-time analytics
Partner closely with Product, Engineering, and other stakeholders to translate business questions into clear analytical solutions.
Own features end to end from statistical design and validation through deployment, monitoring, and iteration.

We are looking for a Junior Fullstack Engineer who is excited about building real product features end-to-end and eager to grow in modern web development within us, our flagship platform.

This is not an internship, were looking for someone with solid foundations in TypeScript, Node.js, and ReactJS, who is motivated to deepen their skills in production-grade systems.

Youll work alongside experienced engineers to design and build features across the stack, from UI and API design, through data modeling, to performance and reliability improvements.

Location: Kfar Saba, Israel.

Reporting to: Full Stack Squad Lead.

Employment Type: Full-time Position.


Roles and Responsibilities:
Develop and maintain frontend components using ReactJS.
Build backend services and APIs using Node.js + TypeScript.
Work with MongoDB for data modeling, queries, and performance improvements.
Integrate frontend and backend flows end-to-end (auth, data fetching, state management, etc.).
Implement modules from technical design to delivery including error handling, logging, and monitoring.
Contribute to code quality: clean code, reviews, refactoring, and testing.
Support performance improvements across the UI and API layers.
Collaborate with Product and Engineering teams to deliver user-facing features.

Required Customer-Facing Data Scientist - Demand Forecasting
Demand Forecasting Team
The Demand Forecasting team is at a pivotal, high-growth stage. We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of our Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

You will
You are a solution-oriented professional with expertise in post-sales, software development, and crafting business solutions. A process-driven builder, you thrive on exploring solution development methodologies to deliver optimal results for clients

Responsibilities
Support the Sales team with technical content and call support.
Work with prospects during technical POCs to achieve success.
Design and implement privacy solutions to automate the real-world customer pains.
Maintain a knowledge hub or repository of best practices, resources, and insights (API docs, code examples)
Collaborate with the marketing team to generate demos, case studies, blogs, and videos.
Customer Success Orientation:

Proactive approach to identifying opportunities to deliver value to other customers
Ability to explain complex technical concepts to non-technical audiance

Required Senior ML Engineer
Responsibilities:
Work on our core data and machine learning infrastructure, which is at the heart of our offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.
Who You Are:
A problem solver at heart, you have a passion for excellence, you love to learn but know when its time to deliver and make ends meet. You arent threatened by a complex, dynamic and demanding environment. There is no I in team, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion.

Required Solution Engineer
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, and SciPlay
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of our Demand Forecasting module.

Required Predictive Analytics Solution Engineer
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights::
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson,, and SciPlay
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs.

At BOA Ideas, we’ve been crafting smart, scalable web solutions for nearly two decades. We specialize in Shopify development, custom applications, and complex third-party integrations — helping brands build powerful digital commerce experiences. We’re looking for a talented, experienced, and driven Full-Stack Developer with deep Shopify expertise to join our growing team and build industry-leading e-commerce experiences for global brands. This role is ideal for someone with strong hands-on experience in the Shopify ecosystem — including custom theme development, Shopify APIs, app integrations, and scalable e-commerce architecture. If you're passionate about clean code, modern technologies, and building high-performing Shopify solutions in a fast-paced agency environment — we’d love to meet you. ?What You’ll Do
* Develop scalable Shopify websites and e-commerce experiences
* Build and customize Shopify themes using Liquid, JavaScript, HTML, and CSS
* Convert designs into responsive, high-performing storefronts
* Develop and maintain third-party integrations and API connections
* Write clean, maintainable, and scalable code aligned with development best practices
* Collaborate with designers, Project Managers, Customer Success, Webmasters, and leadership teams throughout the project lifecycle
* Test, optimize, and continuously improve client solutions
* Continuously explore new technologies and recommend improvements to development processes and client solutions