We are seeking a highly skilled, motivated Senior Full-Stack Engineer II to join the Customer Experience Offerings (CXO) team. This team delivers and scales our core offerings and agentic experiences, creating smart automation for customers to confidently understand, configure, and optimize their journey.

What Youll Be Doing
Act as the go-to technical expert across one or more core areas of the CXO platform, setting the standard for code quality, maintainability, and architecture for the team.
Drive technical decision-making on complex, mission-critical systems. Lead design reviews for large-scale initiatives and contribute to all major architectural decisions within your domain.
Own and deliver large, cross-system initiatives, handling open-ended problems with ambiguity. Define key success metrics and measure project impact post-delivery.
Proactively identify and drive improvements to system costs, scale, and operational stability.
Proactively engage with customers to understand their needs, document pain points and suggestions, and drive improvements that benefit multiple teams.
Improve team processes: identify gaps in documentation, design/code review practices, and onboarding; propose and lead adoption of improvements.
Think like a product owner: proactively identify opportunities to improve the customer experience from quality-of-life improvements to impactful new capabilities and bring them to the roadmap.

we are a fast-growing global body care brand, built on a proprietary e-commerce platform, deep consumer insights, and a relentless focus on performance. Millions of women worldwide use our products, and we are on a mission to become one of the most influential body care brands globally.
We operate at extreme velocity, with high standards and an obsession with results. We believe in challenging conventional thinking, making data -driven decisions, and moving quickly from idea to execution.
We are looking for a Forward Deployed Engineer (FDE) to build and lead our company's AI transformation journey, serving as a rare opportunity for a highly strategic and deeply hands-on builder who thrives at the intersection of business, technology, and execution. In this role, you will have the ultimate playground to shape how our entire company operates, influence every major function, and create a lasting competitive advantage for a leading body care brand. Initially operating as an individual contributor partnering closely with the CEO and the Management Team. Over time, you will transition to build and lead a small, high-performing team as AI becomes an increasingly critical capability across our global e-commerce and retail operations.
To thrive in our high-pace environment, you must think like an owner, not a consultant, and be equally comfortable discussing macro business strategy with executives as well as writing code to solve a messy problem yourself. You are someone who embraces ambiguity, enjoys building from scratch, and is completely obsessed with execution. You possess the high emotional intelligence and empathy required to collaborate with non-technical stakeholders and build trust, yet you maintain the thick skin, resilience, and great sense of humor needed to handle direct communication and rapid structural pivots. Most importantly, you maintain an uncompromising commitment to quality and process improvement, ensuring that every automation or workflow you deploy actively drives our core business metrics forward without requiring hand-holding or constant reminders.
Your life at our company will look like
* Define and lead the company's AI strategy and execution roadmap.
* Identify the highest-impact opportunities for AI across all business functions.
* Prioritize initiatives based on measurable business value, speed of implementation, and scalability.
* Design, build, deploy, and continuously improve AI-powered workflows, tools, automations, and agents.
* Translate business challenges into practical AI solutions that improve performance, efficiency, and decision-making.
* Develop production-ready applications and workflows using modern AI technologies, APIs, agents, and automation frameworks.
* Drive adoption and behavioral change across teams.
* Partner directly with business leaders to identify opportunities and implement solutions.
* Evaluate emerging technologies, models, vendors, and platforms.
* Establish governance, standards, architecture, and best practices for AI development.
* Define and track success metrics for every AI initiative, ensuring measurable impact on growth, productivity, speed, efficiency, or cost.
You will thrive in this role if you have
* Strong technical foundation in Computer Science, Software Engineering, data Science, or a related field.
* 5+ years of experience building technology, data, AI, automation, or software solutions in high-performance environments.
* Proven experience identifying business opportunities and translating them into deployed AI products, agents, automations, or workflows that drive measurable business impact.
* Hands-on experience working with modern generative AI technologies, LLMs, agent frameworks, APIs, embeddings, automation platforms, and production deployments.
* Strong proficiency in Python, SQL, APIs, and data -driven application development.

Forward Deployed Engineering sits at the frontier of that work. We embed with our most strategic enterprise customers, running on-prem, air-gapped, and heavily regulated environments, and own the technical arc from discovery through production.

Your day might include designing a solution architecture for a high-impact agentic use case, debugging a production routing issue deep in our codebase, deploying a new MCP server with a customer team, or aligning with a CTO on a rollout plan; all in service of outstanding outcomes and rapid time to value for the organizations we work with.

This is a founding function. The first FDEs will define how we conducts field engineering: the standards, playbooks, and technical bar. The work is hands-on, commercially scoped, and high-leverage: youll partner closely with Product, Research, Platform, Security, and GTM, and what you learn in production directly shapes what the core team ships next. If you thrive under ambiguity, make fast and sound decisions when the stakes are high, and get energy from closing the gap between what customers hit in production and what we build next, this role is for you.

In This Role You Will
Own technical delivery across multiple deployments from first prototype to stable production, including core engineering work that unblocks strategic accounts.
Lead deep technical diagnosis and remediation in our codebase and production environments, model routing and gateway behavior, large-PR scaling, multi-pass behavior, performance and reliability issues.
Build customer-specific extensions (MCP servers, agent skills, platform integrations) that deliver immediate value and become durable product capability; upstream them into the main roadmap where appropriate.
Embed closely with customer engineering teams: serve as their senior technical counterpart for hands-on debugging, architecture reviews, and joint implementation.
Scope work, sequence delivery, and remove blockers early; make deliberate trade-offs between scope, speed, and quality to protect delivery timelines.
Partner with Product, Research, and Platform to convert account learnings and eval-driven feedback into roadmap items, specs, and prioritized engineering work.
Codify working patterns into tools, playbooks, runbooks, and reproducible benchmarks that Support and account teams can operate independently and help scale the field engineering function across the organization.

We are looking for a Sr. Staff Backend Engineer to join our team. This is a Hybrid (Ramat Gan) role, reporting to the Manager, Software Engineering in the Exposure Management & Security Operations department. Avalor, now part of Zscaler, powers the data foundation behind Security Operations platform, ingesting, unifying, and contextualizing data from hundreds of security and business tools to power security modules that deliver actionable insights and measurable risk reduction to our customers. In this role, you'll own complex backend systems that sit at the heart of our data platform, designing and building services that ingest, process, and move massive amounts of data reliably and at scale for enterprise customers worldwide.

What youll do (Role Expectations)

Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java/Spring Boot and Python
Designing and building data pipelines and ETL workflows that ingest, transform, and unify data from diverse sources at enterprise scale
Leading solutions from scratch to production; creating technical designs, driving architectural decisions and taking full ownership of complex projects - from design and implementation through deployment, monitoring performance, reliability and cost, and proactively driving improvements
Collaborating closely with cross-functional partners - product managers, frontend/backend engineers and UX designers
Serving as a technical anchor for the team - leading design discussions, setting engineering standards, and driving best practices across the codebase
Who You Are (Success Profile)

You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

Required Software Engineer
We are leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, we deliver seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth.
As a Software Engineer, you are a core partner in the product team, shaping not just how we build, but what we build. Your mission is to solve meaningful customer problems, turn ideas into production-ready software, and leverage modern AI-native development practices to amplify your impact as an engineer.
You will join a culture of radical end-to-end ownership, where teams deploy to production dozens of times a day. Leveraging a modern technology stack alongside AI-powered development tools, you will build, experiment, and iterate quickly-turning complex technical challenges into products that deliver real customer value.
Key Responsibilities
AI-Native Software Development: AI is part of how we build software. You will leverage modern AI tools and agentic workflows as part of your daily development process to accelerate implementation, improve code quality, automate repetitive work, and explore technical solutions faster-while applying strong engineering judgment every step of the way.
Builder Mentality: You dont wait for perfect specifications. You take ideas, challenge assumptions, build prototypes when needed, iterate quickly, and turn ambiguous problems into elegant, production-ready solutions.
End-to-End Ownership: Own your features from idea to production. You build it, you ship it, you monitor it, and continuously improve it-taking full ownership of both customer impact and technical quality.
Product Partnership: Partner closely with Product Managers, Designers, and fellow engineers throughout discovery and delivery. Your technical insights will help shape product decisions before a single line of code is written.
What You Bring
Your Mindset:
A Builder at Heart: You love creating new things, experimenting with ideas, and turning ambiguity into working software. You proactively identify opportunities, take initiative, and enjoy solving problems that dont come with a predefined solution.
Product Partner: You care as much about the Why (Business Value) as the How (Implementation). You understand customer problems, challenge assumptions, and make thoughtful technical decisions that maximize impact.
AI-Native Engineer: You view AI as a fundamental part of modern software development. You know how to combine AI-powered tools with strong engineering fundamentals to build better software, faster.

We are a fast-growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion-dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven. At our core, we believe every voice has value and can impact our bottom line. We are looking for a Senior Product Manager to join our team and lead our CDP strategy. If you are a creative, solutions-oriented individual who is ready to put your career in drive, we are the place for you! This role is based in Tel-Aviv or Jerusalem and reports to the Head of Product.

What you will be responsible for:

* Own the strategy and roadmap for the CDP's data layer and its data sources, balancing the reliability, scale, and integration quality of a foundational layer with the pace of a live, revenue-generating product.
* Translate complex technical and architectural tradeoffs into product requirements and business impact, connecting platform decisions to adoption, ARR/MRR, and churn.
* Own both sides of the product lifecycle: the inbound work of discovery, specification, and technical decision-making, and the outbound work of launch, enablement, and adoption with customers and CSMs.
* Engage directly and regularly with customers, CSMs, and internal stakeholders, turning real-world data and integration challenges into product decisions.
* Partner closely with R&D leads and engineering to shape and execute the roadmap.


The top candidate will also have:

* A background in marketing technology or finance-adjacent domains
* Passion and curiosity for emerging technologies, particularly applied AI
* Comfort operating with startup speed and urgency, balanced with the organization a foundational platform demands
* Experience working with international engineering counterparts or a parent company / strategic partner structure
* Openness to occasional travel to the US
* Strong leadership skills and a genuine desire to mentor others
* You are a storyteller who can distill compelling narratives from technical complexity and endless detail

Why you should join us:

* An awesome global team of forward-thinking, innovative go-getters.
* A front-row seat to the strategic decisions shaping the company at a pivotal moment.
* Direct partnership with the C Level leadership team - exposure, ownership, and visibility from day one.
* Learning and growth opportunities within a fast-paced tech startup environment. As a part of our team, your success in this role is crucial to our company's growth, and we are committed to supporting you.
* Of course - Wolt+ and lots of yummy office treats! Sound amazing? Apply in e-mail.

We are looking for a proactive and skilled Software Infrastructure Developer with a strong Agentic AI focus to join our team. In this role, you will design and build the infrastructure, tooling, and AI-powered automation that keep our engineering systems reliable, scalable, and intelligent.

You will be responsible for embedding GenAI and agentic capabilities into our internal developer platforms and CI/CD workflows - creating frameworks, libraries, and multi-agent systems that accelerate automation, improve system stability, and unlock new levels of engineering productivity. This is a hands-on role for someone who thrives at the intersection of infrastructure engineering and applied AI.

The ideal candidate brings deep technical expertise in Python (FastAPI) and/or TypeScript, Kubernetes, CI/CD (Jenkins, GitHub Actions), containerization, and cloud infrastructure - combined with hands-on experience building LLM-powered applications, agents, MCP servers, and RAG pipelines.

What you'll be doing:
AI Platform Development: Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers for agentic applications.
Agentic Workflow Development: Develop single- and multi-agent workflows covering planning, tool selection, delegation, state and memory management, execution, retries, fallbacks, error recovery, and human-in-the-loop approval.
AI-Powered Infrastructure & CI/CD: Integrate AI capabilities into Kubernetes infrastructure and Jenkins/GitHub Actions pipelines to improve development, testing, deployment, and operational workflows.
AI Observability & Evaluation: Implement agent tracing, prompt and tool-call logging, latency and error monitoring, token and cost tracking, regression testing, and failure analysis.
AI Security & Governance: Apply guardrails, access controls, auditability, and governance practices to ensure agents operate safely and reliably.
End-to-End Platform Ownership: Own AI platform capabilities from architecture through production and build reusable solutions that accelerate adoption across engineering teams.
Cross-Functional Collaboration: Collaborate with engineering and business teams to identify high-impact AI opportunities and translate them into scalable technical solutions.
AI Research & Innovation: Evaluate emerging AI frameworks, models, and cloud technologies and promote their adoption where they provide measurable value.

Were looking for a Senior Applied AI Engineer who combines deep data science expertise with the engineering skills to turn research into reliable, production-ready products.
Youll be a hands-on technical leader, owning significant AI capabilities from problem definition, academic survey, and system design through research, experimentation, deployment, and continuous improvement. Your work will span classical machine learning, large-scale data analysis, and AI agents that power brand intelligence, market research, and performance marketing.

You should have a track record of driving complex projects, not just contributing to them, and be comfortable making technical decisions, navigating ambiguity, and delivering in a fast-moving startup environment. Youll build systems that Fortune 500 marketing teams rely on to make consequential business decisions.
Responsibilities
Own AI capabilities end to end. Translate business and product needs into well-defined problems, research plans, and technical designs. Take solutions from initial exploration through production deployment and ongoing improvement.
Develop and improve our core algorithms.
Build production-grade AI agents - performance marketing, market research agents, auto-ML agents.
Turn research into maintainable software. Build reusable modules, data pipelines, and services with clear interfaces, automated tests, and robust deployment practices-not just standalone prototypes.
Own quality and performance in production. Monitor system behavior, investigate failure cases, and continuously improve accuracy, reliability, latency, and cost as usage and data volumes grow.
Drive technical decisions and execution. Choose the right approach for each problem, balancing statistical methods, classical ML, and LLM-based systems. Make explicit trade-offs between research depth, delivery speed, and operational complexity.
Provide hands-on technical leadership. Partner with product and engineering to shape priorities, lead technical initiatives, review designs and code, and mentor teammates.