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As an AI Engineer, your primary focus will be delivering working features while adopting a Builder Mindset to shape the future of software development. You will leverage cutting-edge GenAI tools (such as Claude Code and others) to accelerate development, streamline workflows, and bring high-quality, production-ready features to life.
In this role, you will work closely with PMs, designers, and fellow engineers across frontend, backend, and data domains. You will use AI to tackle complex debugging, conduct research, and eliminate repetitive tasks-continuously improving your productivity while delivering functional, impactful features within your pod.
Responsibilities:
Feature Delivery: Own and deliver working features from end to end, contributing production-ready code with guidance and driving tangible product value.
AI-Accelerated Development: Utilize GenAI tools (e.g., Claude Code) to accelerate feature development, improve personal productivity, and optimize daily workflows.
Problem Solving & Debugging: Leverage AI for rapid debugging, technical research, and reducing repetitive manual work during feature delivery.
Cross-Domain Collaboration: Build a solid understanding across product, frontend, backend, and data domains, collaborating effectively with PMs, designers, and engineers.
Context & Documentation: Document technical decisions clearly and contribute to building shared team context and knowledge bases.
Continuous Learning & Adaptability: Learn the tech stack quickly, adapt smoothly to new tools/workflows, and actively apply feedback to grow as a builder.
Pod Reliability: Act as a dependable, collaborative contributor within your pod, helping drive team momentum and execution.

we are looking for a Data Infrastructure Lead.
As the Data Infrastructure Lead, you will own the technical direction, architecture, and delivery of Skais core production data infrastructure (MySQL, SingleStore, Snowflake, Airflow, and Microservices).
In this role, you will balance in-house, open-source, and SaaS solutions to manage petabyte-scale data while ensuring system reliability, scalability, and cost-efficiency. You will blend hands-on engineering, technical architecture, vendor management, and team mentorship. You will lead cross-functional delivery, drive operational excellence across a 24/7 production environment, and set engineering guardrails for cloud-based data systems across the company.
Responsibilities:
Technical Leadership & Architecture: Set engineering guardrails, lead architectural reviews, lead the pods daily, and balance design tradeoffs for cloud-based data systems across all business units.
Execution & Delivery: Own the pods Scrum processes (epics, stories, tracking), balance technical debt management with rapid feature delivery, and drive multi-project execution.
Hands-on Engineering & Escalations: Stay active in code and infrastructure, serving as the primary technical escalation point for complex, 24/7 production issues.
Ops, High Availability & Reliability: Oversee operational readiness, rotation schedules, high availability (HA), backup and recovery processes, and automation to maintain 24/7 production uptime.
Mentorship & Team Culture: Raise the technical bar, foster a culture of engineering excellence, mentor team members, and drive professional growth within the pod.
Stakeholder & Vendor Alignment: Act as a strategic partner to align roadmap planning, bridge technical execution with business goals, and serve as the main point of contact for data infrastructure vendors.

We are looking for an experienced and hands-on Bookkeeper to take full ownership of the day-to-day finance operations in a growing global technology company.

This is a standalone role, ideal for someone who enjoys working independently, managing multiple priorities, and taking ownership across a broad range of accounting and operational finance activities. The role requires close collaboration with internal stakeholders and external service providers in a hybrid work environment (only 1 day from office)

Responsibilities

Manage the full Accounts Payable cycle, from invoice receipt through payment, including vendor management, invoice processing, and payment execution.
Issue customer invoices and manage collections, ensuring timely follow-up and accurate Accounts Receivable records.
Perform bank, credit card, and account reconciliations.
Manage the monthly payroll process for Israeli employees, including payroll preparation, review, and coordination with the external payroll provider.
Prepare payroll in-house for a small employee population, where applicable, or work closely with the external payroll provider to ensure accurate and timely payroll processing.
Review payroll reports to ensure accuracy of salaries, benefits, deductions, and statutory payments.
Handle communication with pension providers, tax authorities, and other payroll-related entities.
Manage procurement-related administrative processes, including purchase requests, vendor coordination, and ensuring proper approvals and documentation.
Maintain accurate financial records and support day-to-day bookkeeping activities.
Support monthly, quarterly, and year-end closing processes.
Assist with external audits and preparation of supporting documentation.
Identify opportunities to improve financial and administrative processes.

Every conversation on our company eventually becomes a line on an invoice. We're looking for a Junior Fullstack Developer to join the team that owns our billing platform: the system that meters usage across millions of messages and turns it into plans, invoices, and payments.

Billing is one of the best places to learn how a SaaS company really works. You'll see how product decisions become pricing, how pricing becomes code, and how code becomes revenue. You'll work with experienced engineers who will help you grow, and you'll ship real features that customers rely on every month.

What You'll Do

Build and ship billing features end to end, from database to React UI

Work on usage metering, subscription plans, and pricing logic as new products and channels launch

Help maintain our integrations with payment providers and invoicing flows

Learn to design reliable, well-tested processes for tricky cases like upgrades, downgrades, proration, retries, and refunds

Build the customer-facing billing experience: plan management, usage dashboards, and invoice history

Collaborate with Finance, Product, and Customer Success to turn business rules into working software

Take part in the full development cycle: design, development, code review, deployment, and monitoring

Our detection engine is a large Python codebase running PySpark over cloud, SaaS, and identity data at scale on Databricks. Youll own its engineering quality - hardening whats there and extending it - working alongside the cyber investigators who define what it should catch.

In this role, you will:

Harden and extend a large production Python codebase: refactoring, module and API design, typing, test coverage.

Own and optimize critical PySpark workflows processing massive security datasets across multi-cloud environments - correctness and cost both.

Design the data models and queries the engine depends on, and fix the slow ones.

Work directly with cyber investigators to turn attacker behavior into detection logic that holds up in production.

Build with AI as a core tool: AI coding agents daily, and the AI tooling the team runs on - agentic and automated workflows (n8n or similar) and LLM-backed services on Bedrock or vendor APIs.

Raise the bar on engineering practice - code review, CI, and the standards the team holds each other to.

Contribute to architectural decisions and technical direction as the platform evolves.An empty job that is used for creating requisitions 'from scratch'