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What am I going to do?
Spearhead the restart of postponed financial projects by translating complex business needs into actionable technical implementation plans.
Configure and customize NetSuite and other financial applications to automate and enhance key workflows, including billing, revenue recognition, and procurement.
Proactively troubleshoot and resolve intricate technical issues within our finance module stack, ensuring operational stability.
Develop and maintain comprehensive documentation and best practices for new financial processes, ensuring scalability and ease of support.
Lead cross-functional initiatives focused on our financial business applications, taking hands-on ownership of Workato integrations.
Collaborate closely with the Finance team to identify opportunities for process automation and application enhancements, acting as a trusted technical advisor.

What am I going to do?
Manage the end-to-end chatbot roadmap and sprint delivery, ensuring all project deadlines and key performance indicators are met with precision.
Translate overarching company strategic goals into actionable chatbot experience improvements, effectively communicating updates and insights to diverse stakeholders.
Mentor and provide hands-on guidance to team members, fostering their growth in areas like advanced prompting techniques on platforms such as Forethought.
Leverage data analysis to deeply understand chatbot performance, driving continuous optimization and informing strategic decision-making.
Facilitate key team meetings and foster a collaborative and inclusive team culture.

What am I going to do?
Drive the team's project roadmap, owning the schedule and ensuring on-time delivery while proactively managing dependencies.
Act as the primary point person for production health, overseeing reliable deployments and leading swift incident response.
Provide hands-on technical mentorship and guidance to engineers, championing best practices in security and architectural design.
Cultivate strong partnerships with team leaders from the group to facilitate seamless cross-functional integration and align on shared objectives.
Optimize day-to-day operational rituals, including stand-ups, sprint planning, and task allocation, to maintain team velocity and efficiency.

What am I going to do?
Independently deploy and maintain robust cloud infrastructure across AWS, GCP, and CloudFlare, leveraging Kubernetes, Terragrunt, and Ansible.
Contribute to an on-call rotation, ensuring the stability of critical production services including Kafka, RabbitMQ, and various databases, with a focus on proactive incident resolution.
Lead small to mid-sized projects from conception through completion, utilizing your expertise in CI/CD pipelines (Jenkins, ArgoCD, Argo Workflows) and scripting languages like Python, NodeJS, Go, or Kotlin.
Partner closely with security and development teams to embed security best practices throughout the entire software development lifecycle.
Proactively evaluate and implement new tools and technologies to enhance engineering efficiency, security posture, and operational excellence.
Manage sensitive information securely using tools like HashiCorp Vault and ensure secure configurations for services like Kong & Nginx.

We are a fast-growing start-up company, located in Tel Aviv, with a very strong founding team (Ex-8200, Google, etc.). We are looking for candidates who are passionate about bringing a new feature from ideation to the customers hands, while solving complex challenges and building scalable infrastructure.

What Youll Do
End-to-end development of backend software components (research, design, development, testing, rollout, monitoring).
Contributing to technological and architectural decisions, as part of the core engineering team.
Analyzing and improving efficiency, scalability, and stability of various backend system components.
Working on hard problems like static code analysis with low latency, graph algorithms, complex infrastructure, among others.

What am I going to do?
Provide consistent guidance, mentorship, and leadership to the team, fostering a high-output environment.
Manage the end-to-end design pipeline, driving operational excellence and effective cross-functional collaboration within the Product department.
Oversee strategic alignment of all active design initiatives, ensuring they meet defined business goals and rigorous quality standards.
Champion and nurture the team's creative output, ensuring all major design projects meet established OKRs and contribute to business objectives.
Collaborate closely with cross-functional stakeholders to champion design excellence and ensure cohesive product development.

What am I going to do?
Identity & Access Management: Own Okta as our primary IdP. Architect and automate complex identity lifecycles, directory integrations, and context-aware adaptive MFA policies.
Endpoint Management (MDM): Design and manage our enterprise Apple ecosystem using Jamf Pro. Optimize zero-touch deployment (Apple Business Manager), patch management, and security configurations.
SaaS & Cloud Operations: Act as the primary administrator for our core SaaS stack. Integrate systems via APIs, webhooks, and automated workflows.
AI Integration & Automation: Implement AI-driven operations (AIOps) for smart monitoring, predictive analytics, and low-code/no-code automated IT support workflows.
Security & Compliance: Lead the technical execution of security roadmaps, actively driving initiatives to meet and exceed annual compliance targets. Partner with security to enforce zero-trust architecture, manage vulnerability patching, and pull automated evidence for compliance audits (SOC2/ISO 27001).

What am I going to do?
Own complex Trust & Safety operational initiatives from definition through execution, rollout and measurement.
Lead operational aspects of new moderation technologies, external vendor integrations and tooling improvements, including solutions such as automated and AI-assisted moderation.
Act as the operational owner for integrations: define requirements, identify dependencies, coordinate Product, Engineering, Data, Policy, Legal and vendor stakeholders, manage timelines and drive decisions to closure.
Translate T&S problems and policy requirements into scalable operational workflows, enforcement logic, rules, tooling requirements and implementation plans.
Continuously identify operational gaps, inefficiencies and emerging abuse trends and proactively propose solutions rather than waiting for predefined projects.
Build and improve moderation workflows across automation and human review, balancing accuracy, operational efficiency, user impact and business needs.
Own relationships with relevant moderation and T&S vendors, including implementation, performance management, escalation and ongoing optimization.
Drive cross-functional projects involving Policy, Product, Engineering, Data Science, Legal, Customer Care, QA and Training.
Support incident and escalation management when operational or platform-integrity risks require rapid cross-functional response.
Help shape the longer-term operating model and capabilities of the Trust & Safety function.

We're selective about who joins us. Our lean engineering team is made up of people who've built and delivered at a high level before, and we're looking for one more exceptional Full Stack Engineer to raise the bar again. You'll work directly with the founding team, own projects end-to-end, and shape the technical direction of a product already proving itself at scale.
What You'll Do:
Own features end-to-end, from product and technical design through implementation, testing, and deployment
Build and refine AI-powered features, pushing on quality, performance, and cost
Build across both our merchant-facing dashboard and customer-facing storefronts
Solve real performance and scalability challenges as usage grows
Design and evolve our APIs, services, and data models
Work with event and usage data at scale across our product and analytics system
Help define our architecture and engineering practices as we grow

We're hiring a Data Engineer to architect and own the systems that turn raw signal from merchants, customers, and experiments into something the whole company can build on.
Data is at the heart of everything we do - it powers our AI models, drives merchant-facing analytics, and informs how we make product decisions every day.
This is a high-ownership role for someone who wants to shape data architecture from the ground up- not inherit someone else's roadmap. You'll be the person who makes sure our data is fast, trustworthy, and easy for every team to use.
What You'll Do:
Architect and build scalable data pipelines processing millions of events daily from merchant stores, product usage, experiments, and third-party integrations
Own our data warehouse strategy end-to-end- reliability, performance, and scalability as we grow
Define our event architecture and set the standards for how the company captures and models product and business data
Build data quality practices- monitoring, validation, testing, and alerting- that the rest of the team can trust
Partner directly with Product and Engineering to unlock the data behind our AI features, merchant analytics, and experimentation
Build self-service tooling so other teams can query and analyze data without depending on you as a bottleneck
Set the bar for data modeling, orchestration, and documentation across the org

What am I going to do?
Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
Build the retrieval and serving layers that make our data usable in real time.
Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
Build agentic workflows that makes the whole team faster, and help set the standards others work to.

What am I going to do?
Full Ownership: Drive infrastructure initiatives through their entire lifecycle, taking accountability from initial design to delivery and long-term operations.
Kubernetes Orchestration: Architect, implement, and maintain production-grade Kubernetes clusters, ensuring they remain scalable and resilient under high-scale demand.
Cloud Architecture: Design and manage robust AWS environments, including VPC, IAM, and EKS, to support a highly available platform architecture.
Infrastructure as Code: Utilize Terraform to build and evolve our environment, applying configuration management principles to all IaC workflows.
CI/CD Excellence: Support and improve our deployment pipelines using Jenkins and GitHub Actions to maintain a fast development velocity.
Observability: Implement comprehensive monitoring solutions with Prometheus and Grafana to ensure deep visibility into platform health.
Operational Resilience: Join the DevOps on-call rotation, taking responsibility for mitigating production issues and maintaining site reliability.
Tooling & Innovation: Continuously evaluate and adopt tools - security and otherwise - that raise the bar on engineering efficiency and security posture at our company.

Required DevOps Team Lead
Position Overview
We are looking for driven, curious people who like to learn whatever necessary to create new features, who want to make an impact and be a part of a high paced development team. Our stack consists of Python, React, Redux, React Native, GCP (GoogleCloud Platform) and more, but what matters most is attitude - if you love creating new features, care about building an excellent product that gives good service to people and you are willing to learn whatever necessary to do so, you belong with us.
Key Responsibilities
This is a hands-on leadership role - you'll split your time roughly 50/50 between people management and technical execution (writing code, owning architecture, being in the weeds).
Hire, manage, and grow a team of DevOps/SRE engineers, focusing on their performance, career development, and day-to-day support.
Lead the technical vision and roadmap for the Internal Developer Platform, working closely with engineering leadership to prioritize and sequence platform investments.
Drive architectural decisions for platform primitives - evaluate trade-offs and build consensus across engineering teams.
Build and maintain an Internal Developer Platform (IDP) -self-service workflows for provisioning, deploying, and operating services.
Mentor and grow platform engineers - pair programming, code reviews, and shaping engineering culture.
Own reliability standards: define SLOs, lead blameless postmortems, and drive systemic improvements.
Manage the Kubernetes (GKE) control plane and cluster-level primitives.
Own infrastructure-as-code standards (Terraform, Helm) and enforce GitOps practices across the org.
Build and maintain the observability platform - structured logging, metrics pipelines, alerting, and SLOs.,
Manage AI data infrastructure: pipelines and embedding stores as infrastructure services.

This is a role in our companys core AI group, which specializes in developing cutting-edge AI solutions in healthcare, enhancing medical imaging and diagnostics. As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.

This is a Senior AI Software Engineer role within our companys AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products.
Responsibilities
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems).