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We're a fast-moving, highly collaborative team operating at a transformational moment, and we're charged with shaping how people discover, explore, and buy home furnishings. Our expertise spans data science, performance marketing, product, and creative, and our work reaches millions of customers every day. It's a rare combination: the energy of a tech company, the stability of an industry leader, and the opportunity to build something truly significant. If you're energized by transformation, collaboration, and meaningful impact at scale, our company is where ambition meets opportunity.
We are looking for a Full-Stack Engineer who brings strong ownership, clear communication, and a practical, can-do mindset. You will join the Commerce squad and build high-impact capabilities across our core commerce and internal platforms, including Admin experiences that power pricing, promotions, product data, and order lifecycle flows, as well as Operations and Customer Support. You will operate in a fast-paced environment with high standards, partnering closely with Product, Design, DevOps, and cross-functional stakeholders to deliver meaningful business outcomes. This is an opportunity to influence technical decisions, own features end-to-end, and build scalable systems that support critical commerce experiences used across the business.

Roles and Responsibilities:
Design and implement scalable microservices with strong API contracts and maintainable architecture, in a backend-oriented Full-Stack role (60-70% backend development)
Own features end-to-end: clarify requirements, propose technical designs, break down delivery, coordinate dependencies, ship, monitor, and iterate based on real usage and business impact
Contribute to event-driven commerce architecture: publish and consume events, design resilient workflows, handle retries and idempotency, and ensure data consistency across services
Work within a Scala-based monolith, adapting quickly to unfamiliar technologies and applying pragmatic refactoring practices
Work with MongoDB and other data stores as needed, designing schemas and access patterns that support scale, performance, and long-term maintainability
Work with AWS cloud infrastructure and production systems, including observability, deployments, and operational readiness

As a Senior Product Security Engineer, you will help ensure that security is built into the products, platforms, AI systems, and clinical workflows that support healthcare providers and patients at scale. This is a hands-on technical role focused on securing real systems in production, influencing architecture, and partnering closely with engineering, AI, DevOps, product, quality and regulatory.
You will work across cloud-native services, medical imaging workflows, healthcare integrations, AI/ML pipelines, APIs, data flows, and regulated product development processes. Your work will directly support our company's ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide.
What Makes This Role Unique at our company
Clinical AI with real-world patient impact - our company operates in an environment where security is not only about protecting systems and data. Security decisions can affect clinical workflows, care-team coordination, customer trust, and patient safety.
Highly sensitive healthcare data - You will help protect medical imaging data, clinical metadata, PHI/PII, customer environments, and AI-driven workflows that require strong privacy, access control, data protection, and auditability.
Security for AI/ML and medical imaging systems - The role extends beyond traditional AppSec into AI/ML security, data pipeline protection, inference integrity, model-related risks, and misuse scenarios in clinical workflows.
Complex healthcare integrations - our company integrates with hospital systems and healthcare workflows that may include PACS, EHR, VNA, RIS/worklists, scheduling systems, and communication platforms. You will help secure the data flows, authentication models, APIs, and deployment patterns behind these integrations.
Engineering-driven security in a regulated environment - This is not a checkbox compliance role. However, because our company operates in healthcare and clinical AI, security must be practical, evidence-based, and aligned with regulatory, customer, and quality expectations.
Cloud-native scale and production ownership - You will work with modern cloud infrastructure, Kubernetes, containers, CI/CD pipelines, identity and access management, observability, vulnerability management, and software supply-chain controls.
Responsibilities
Secure product and clinical workflows end-to-end - Work directly with engineering and product teams to identify, prioritize, and remediate security risks across services, APIs, medical imaging workflows, AI outputs, data flows, and customer-facing product features.
Drive secure-by-design architecture - Provide practical security guidance on authentication, authorization, tenant/customer isolation, encryption, secrets management, service-to-service communication, audit logging, and secure data handling.
Strengthen cloud-native security - Improve security across cloud environments, Kubernetes, containers, IAM, network segmentation, workload identity, infrastructure-as-code, logging, monitoring, and cloud security posture management.
Embed security into the development lifecycle - Integrate, tune, and operationalize security tooling across CI/CD pipelines, including SAST, SCA, IaC scanning, container scanning, secrets detection and build/release integrity controls.

You will be part of the Platform team, reporting to the VP of R&D. This is a hands-on IC role at the crossroads of data science, software engineering and cloud infrastructure: you design the service, you build every layer of it, you ship it, you measure what it does for the products that use it, and you maintain and extend it with the features its users need.
Responsibilities
Own services end to end: From a one-page design through API, SDK, UI and infrastructure to production, built to the platforms service standards: tested at every level, auto-deployed on merge, with live status and cost per job.
Build data services at scale: Spark and EMR jobs over the lakehouse, orchestrated in Airflow, that resolve identities, join vendor feeds and score millions of records per run, and that get faster and cheaper with every release.
Put models and LLMs into production: Foundation model, embedding, classification and agent services, each with an evaluation harness behind it, so a model change is measured before a product feels it.
Build the full stack: Backend services, web consoles and SDKs that an engineer, a product team or an agent can use self-serve, with a user guide for people and a playbook for agents.
Run what you ship: Monitoring, alerting, retries and cost per job. You are the first responder when your service is red, and you announce every release to its users with measured numbers.
Work AI-native: AI coding agents are part of how we build every day. You drive them, review their output critically, and build services that agents consume as easily as people do.

Were looking for a highly technical Product Manager to lead our Runtime Internals product group.
This role sits at the intersection of deep systems engineering, developer experience, and product strategy. Youll work on technology that operates deep inside production environments, partnering closely with engineers working on runtimes, operating systems, instrumentation, performance, and low-level system behavior.
You dont need to be writing production code every day, but you do need to be technical enough to go deep with engineers, understand complex architectural tradeoffs, and turn them into product decisions that create meaningful value for developers and engineering organizations.
Youll own the product direction end-to-end - from identifying the right technical problems to solve, through prioritization and execution, to understanding how the capabilities we build translate into customer and business value.

We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
Responsibilities
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization.

Required Senior/Principal Backend Engineer - Application (Cortex Platform)
Job Summary
As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities:
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

Required Team Lead, Technical Account Manager -IL
About The Position
A modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, traces, and security events with features such as APM, RUM, SIEM, Kubernetes monitoring, and more, enhancing operational efficiency and reducing observability spending by up to 70%.
As the Team Lead, Technical Account Manager (TAM), you will lead a team responsible for delivering excellent technical account management, with a focus on guiding the seamless onboarding of new customers. You will ensure your teams success in building strong customer relationships, addressing technical issues related to observability, and maintaining data-driven operational excellence. This role requires technical depth in logging, monitoring, and observability tools as well as strong leadership skills.
Key Responsibilities:
Leadership & Team Development:
Lead, mentor, and manage a team of TAMs to ensure successful customer onboarding and long-term success.
Develop KPIs for the team and track performance related to the onboarding experience, ensuring customer satisfaction.
Provide technical guidance and foster team collaboration on observability tools and log analytics.
Technical Expertise & Customer Engagement:
Oversee the implementation of observability tools, guiding customers through Logs, Metric and Traces monitoring, and real-time analysis.
Ensure that your team delivers expert-level onboarding and ongoing, for our observability and logging solutions.
Provide deep technical insights on cloud observability and integration of us into customer infrastructures.
Customer Relationship Management:
Be the primary escalation point for customer technical challenges.
Proactively work with customers to enhance their logging and observability practices, integrating them seamlessly with our platform.
Engage with our stakeholders to provide tailored technical solutions that align with customer business goals.
Data-Driven Leadership:
Leverage customer feedback and usage data to enhance the onboarding process and overall TAM team performance.
Analyze patterns in customer data, ensuring that your team applies data insights to improve observability outcomes and preempt issues.
Collaborate with internal teams on product enhancements, informed by your team's customer data analysis.

we are looking for a Data & AI Infrastructure Team Leader to lead a team of Data Engineers and Software Engineers developing innovative clinical applications that power next-generation AI healthcare solutions. The team provides data management solutions, AI development infrastructure, software integration frameworks, evaluation and verification capabilities, and scalable deployment mechanisms.
This role requires end-to-end ownership and a broad systems perspective, from understanding customer needs and product requirements to enabling successful product delivery.
If you're looking for a meaningful opportunity to make a real impact on healthcare and help improve patients' lives, we'd love to hear from you.
Job Description
Key Responsibilities
Team Leadership
Lead, mentor, and grow a team of Data Engineers and Software Engineers.
Define team priorities, roadmap, and execution plans aligned with business and product objectives.
Foster engineering excellence, accountability, collaboration, and continuous improvement.
Drive effective cross-functional collaboration with Algorithm, Clinical, Product, Verification, Regulatory, and Systems Engineering teams.
Establish technical standards, best practices, and development processes.
Data Infrastructure & Data Operations
Lead the design, development, and maintenance of enterprise-grade data infrastructure supporting AI development.
Own database architecture, data repositories, and scalable data management solutions.
Drive solutions for clinical data collection, anonymization, curation, annotation, versioning, traceability, and lifecycle management.
Develop and maintain integrations with internal company systems and data sources.
Ensure secure, compliant, and efficient data access mechanisms for global development teams.
Support regulatory submissions through reproducible and auditable data preparation processes.
Establish data governance standards, quality controls, and operational excellence practices.
AI Software Platform & Integration Infrastructure
Lead development of software frameworks enabling integration of AI technologies into multiple product platforms and operating environments.
Drive creation of reusable SDKs, plugins, APIs, and services that accelerate AI deployment across products.
Support integration of AI solutions into Linux and Windows-based medical device platforms.
Define and maintain AI integration architecture, deployment mechanisms, and compatibility layers.
Enable rapid prototyping and evaluation environments for algorithm development teams.

we are a leading platform for Trust & Safety teams worldwide, leveraging cutting‑edge AI and world‑class expertise to protect users from the widest spectrum of online harms. By continuously collecting and analyzing data, our solutions ensure customers stay two steps ahead of bad actors in an ever‑changing threat landscape.
Were seeking an outstanding Backend Engineer with a Generative AI orientation to join our research team. We are building a new AI Platform from scratch to standardize AI development methods, ensure excellence and efficiency, and deliver robust, scalable, and compliant AI capabilities. This platform will handle GenAI models deployment, prompt management, data filtering, logging, and monitoring, centrally, so individuals can focus on their own business-specific logic.
Key Responsibilities
Build and maintain CI/CD pipelines that support fast, reliable integration and deployment of GenAI systems across complex environments, including orchestrating multiple models/agents and MCP clients/servers.
Develop, deploy and integrate AI solutions and agentic frameworks, creating both command‑line tools and interactive notebooks that support our teams research and workflow automation needs.
Build and manage data pipelines and databases (SQL) for large‑scale data handling, automating data collection and curation (e.g., adversarial prompts for model red-teaming) to support AI training and evaluation.
Integrate research into production by implementing the latest generative AI advancements (including white‑box LLM development), integrating different models and agents, and developing evaluation frameworks (e.g., agentic reasoning tests) as part of our automated workflows.
Integration & Orchestration: Integrate dockerized environments (e.g., Harbor format) into internal training frameworks, optimizing reset/statefulness semantics, concurrency, and throughput ceilings
Deploy GenAI models from repositories such as HuggingFace onto our AWS platform, connect them to data pipelines, and automate end‑to‑end processes for prompt generation, labeling, and response evaluation.

Responsibilities
Reach out to a high volume of outbound leads and follow up on inbound leads from multiple sources Work against new business goals on a weekly, monthly, quarterly, and annual basis Partner closely with Marketing and Account Executives to nurture leads from first contact through to valid opportunities Collaborate across Sales, Marketing, and Product to share critical customer feedback Regularly monitor leading indicators of success and report on pipeline health Drive systems, AI tools, and process improvements that grow the new business pipeline Help build and refine a scalable training and development curriculum for the SDR team Establish and maintain effective 1:1s, weekly meetings, and outreach cadences
About US
The pipeline acceleration company - empowers developers to radically accelerate their work by shortening build times, supporting agentic AI development needs, and enabling more iterations and faster product releases. Hundreds of customers, including world-leading brands, trust our platform to streamline and accelerate everything from compilation to release automation, saving significant resources and accelerating time-to-market. Weve helped over 200,000 developers at tech giants like Microsoft, Samsung, Nintendo, and Amazon build some of the most successful software across industries such as gaming, financial services, Embedded software, automotive, and more. In recent years, we have been in hyper-growth, expanding globally while adapting our solutions and operations to the changing market landscape to keep growing our market share. This is your opportunity to join a category leader and make a difference.
The Position
We are looking for an experienced and talented SDR professional to join our fast-growing sales organization! In this role, youll help establish our Sales Development function, reaching out to a high volume of outbound leads and following up on inbound leads generated from multiple sources. Youll work closely with the Marketing and Account Executive teams to nurture leads from initial contact through to valid opportunities and closed-won deals, and youll be measured against new business goals on a weekly, monthly, quarterly, and annual basis. Were looking for someone who can bring structure to 1:1s, weekly meetings, and overall cadences, and whos comfortable refining processes and implementing new systems. You should be passionate about working in a team environment and bring the accountability needed to grow our business funnel significantly.

Were looking for our next Manager, Cybersecurity Engineering. Could It Be You?
As the Manager of Cybersecurity Engineering, you will lead and grow a team of security architects dedicated to embedding security into our engineering culture in alignment with our regulatory compliance requirements as a Financial Services provider. Reporting to the Director of Cyber Strategy & Risk, you will own the team's technical direction and its impact on the organization's overall security posture - spanning architecture oversight and threat modeling, legacy system risk, security guardrails and automation, and M&A security diligence. You will balance technical leadership with people management, establishing your team as a trusted consultative partner that enables safe innovation across cloud-native financial platforms, legacy systems, and corporate integrations.
The Manager, Cybersecurity Engineering is a champion for putting the customer first and has a deep passion in understanding customer behaviour. They will create lifecycle journeys to improve the customer experience, engagement and retention as we deliver on our promise to help customers keep more of their money as they become more financially successful and secure.

Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.
The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.
Work location: hybrid from Tel Aviv
Curious about what it's really like to work?
Explore our benefits, culture, and what success in your first year could look like here.
If you are interested in this opportunity, please submit your CV in English.
Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter

As a Technical Account Manager (TAM) in AWS Enterprise Support, you will serve as the primary technical advisor and voice of the customer for a portfolio of fast-growing Israeli startups. You will play a crucial role in fostering their innovative and transformative work across AI/ML, compute (including accelerated and GPU workloads), containers, networking, storage, databases, serverless, security, and more. It's an opportunity to work closely with technical founders and engineering leaders, helping them make the right architectural decisions at each stage of their growth journey.

Key job responsibilities
- Act as the primary technical advisor for your startup customers, building trusted-advisor relationships with CTOs, VP Engineering, and founding teams
- Engage across the full customer organization, from individual engineers through to C-suite, adapting your communication to each audience
- Help accelerate customer growth by crafting strategies that balance startup velocity with Well-Architected best practices across AI/ML, compute, containers, and data infrastructure
- Conduct architecture reviews, operational assessments, and proactive risk identification. Analyze service events and operational patterns to drive continuous improvement in resilience, performance, and cost efficiency
- Drive technical discussions with founding teams on architecture trade-offs, incident response, and risk management as their systems scale
- Uplift customer capabilities by running workshops, enablement sessions, and brown bag sessions tailored to their technical needs
- Champion and advocate for your customers by connecting their feedback to AWS engineering teams, influencing platform evolution, and ensuring rapid resolution of concerns
- Collaborate with Solutions Architects, Business Developers, Professional Services, and Account Managers to deliver coordinated customer value
- Develop and share technical content such as blog posts, reference architectures, and reusable solutions that help startups solve common challenges and reduce time-to-market.

Were looking for an experienced Account Executive to drive growth across Israel and help expand our presence in the cybersecurity market.

In this role, youll own the full sales cycle - from identifying and developing new opportunities to closing strategic enterprise deals. Youll work closely with our Solutions Engineer, as well as our marketing, product, and technical teams, to deliver meaningful value to customers throughout the sales process.

As our first sales hire dedicated to Israel, youll have significant ownership over developing the market, building the pipeline, and establishing strong relationships with Israeli customers and partners. Youll also lead channel activity in Israel, recruiting and enabling partners, developing partner-sourced opportunities, and driving joint sales activities.

Youll play a key role in bringing our vision to life by helping enterprises adopt cutting-edge, AI-powered offensive security technology.


Responsibilities
Own and manage the full sales cycle - from prospecting and pipeline development to negotiation and contract closure.
Develop our commercial presence across Israel.
Proactively generate new business opportunities through direct outreach, industry relationships, partners, events, and conferences.
Build and nurture long-term relationships with key prospects, customers, and relevant industry stakeholders.
Work closely with the Solutions Engineer throughout the sales process, including discovery, demonstrations, technical evaluations, and proof-of-value processes.
Collaborate with marketing, sales development, product, and technical teams to execute effective go-to-market strategies.
Accurately forecast sales performance, maintain pipeline visibility, and report progress and results to leadership.
Stay up to date on industry trends, customer needs, and the competitive landscape to identify new opportunities and potential risks.
Define and execute our channel strategy in Israel, aligned with the companys sales goals.
Recruit, onboard, and activate relevant local partners, including resellers, MSSPs, and system integrators.
Build strong partner relationships and coordinate enablement with the Solutions Engineer and marketing team.
Generate partner-sourced pipeline and lead joint sales activities with partners throughout the sales cycle.
Manage deal registration, attribution, and potential conflicts between direct and partner-led opportunities.