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What you will do
You will lead a team of experienced Data Scientists while remaining deeply involved in the technical work.

This is a hands-on leadership role (~70% hands-on) combining direct modeling work with ownership of team direction and execution.

You will work on core systems that operate at a massive scale, where:

Data is abundant, but labels are scarce and expensive

problems are long-tail and ambiguous

Systems must meet strict latency and cost constraints (pre-bid)

Your responsibilities include:

Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps

Design and build models across computer vision, NLP, and multimodal pipelines

Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment

Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)

Improve model quality (precision/recall) while balancing cost, latency, and scale

Drive automation systems (auto-labeling, auto-curation, retraining loops)

Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems

Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward

Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team. Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments.

This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.


Responsibilities

Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations

We are looking for a Senior Enterprise Architect - Core Payments Processing to join our Architecture team. Reporting to the VP of Architecture, you will play a key role in shaping and delivering the architecture of next-generation payment processing platforms.

In this role, you will be responsible for designing and guiding the implementation of highly scalable, resilient, and secure transaction-processing systems supporting global payment operations. You will work closely with Product, Engineering, DevOps, Security, and Data teams to translate complex business requirements into robust technical solutions.

This role requires deep experience in real-time distributed systems, fintech/payment platforms, and modernization of large-scale systems, as well as the ability to influence cross-functional teams and ensure architectural integrity throughout delivery.

You will help evolve platform by balancing long-term architecture strategy with pragmatic delivery, enabling the company to scale its global payment capabilities while maintaining reliability, compliance, and operational excellence.

Responsibilities

Lead architecture design for complex payment processing initiatives across core platform.
Translate product and business requirements into scalable and resilient architecture designs, covering functional and non-functional requirements such as performance, availability, security, and compliance.
Drive the architecture of real-time distributed systems supporting payment authorization, transaction routing, and processing flows.
Guide engineering teams in implementing architecture decisions and ensure adherence to architectural standards throughout development and delivery.
Define integration patterns and service boundaries across microservices and platform components.
Contribute to modernization initiatives, including decomposition of legacy systems, migration strategies, and evolution toward cloud-ready architectures.
Collaborate with cross-functional teams (Product, Engineering, DevOps, Security, Data) to ensure solutions are aligned with business goals and technical strategy.
Participate in architecture reviews, design governance, and technical decision-making across the organization.

We are looking for a motivated Junior Salesforce Developer (1-2 years of experience) to join Business Automation team. This role is an excellent opportunity for someone looking to grow their Salesforce development career while working on enterprise-scale projects, integrations, and business process automation initiatives across multiple departments.

Responsibilities

Develop and maintain Salesforce solutions using Apex, Lightning Web Components (LWC), and Flow.
Configure and customize Salesforce objects, fields, page layouts, validation rules, and automation.
Support integrations between Salesforce and internal/external systems.
Assist in troubleshooting production issues, bugs, and user-reported problems.
Collaborate with Salesforce Administrators, Business Analysts, and business stakeholders to deliver efficient solutions.
Participate in testing, deployment, and release management activities.
Follow Salesforce development best practices, coding standards, and security guidelines.
Document technical designs, configurations, and development work.

As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.

Responsibilities

Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.
Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.
Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.
Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.
Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.
Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.

we are seeking an experienced and visionary ML Engineer to join our dynamic technology organization. The successful candidate will be a part of a team of talented AI Engineers, Building agentic AI solutions, driving innovation and delivering business value through advanced Generative AI solutions & machine learning techniques. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge Gen AI and LLM methodologies and a passion for continuous learning and development.

Responsibilities

Build the solution: Own end-to-end technical delivery of agentic systems, from source-system integration through agent design, development, evaluation, and production deployment.
Integrate AI systems with source systems (Salesforce, Databricks, Splunk, internal APIs, business applications). Handle agent harness and orchestration.
Handle the operational handover to the business function and any necessary support transition.
Collaborate across teams: Partner closely with data engineering, platform, security, and business teams to align on requirements, dependencies, and integration points.
Engage stakeholders: Gather requirements directly from business functions, communicate technical trade-offs clearly, and keep stakeholders informed on progress, risks, and timelines.
Uphold quality and reliability: Establish and maintain best practices for code quality, testing, evaluation, monitoring, and observability of deployed AI systems.
Contribute to the team's technical growth through knowledge-sharing and help shape engineering standards and reusable patterns.
Stay current: Continuously evaluate emerging Gen AI, LLM, and agentic frameworks, and recommend tools and approaches that improve delivery speed and solution quality.

We are looking for a Senior Full Stack Developer to join our fast-growing team. You will report to the Full Stack Team Leader and play a key role in contributing to our teams ongoing success and growth.



Responsibilities

Design, develop, and maintain high-performance web applications using React and TypeScript, incorporating advanced AI features into the user experience.
Building and optimizing robust backend APIs to support payment workflows, including multi-agent state management and LLM lifecycle governance.
Collaborate cross-functionally with product managers, architects, DevOps, and UX/UI designers to translate business requirements into comprehensive, scalable solutions.
Drive development efficiency by leveraging AI-assisted tools to improve code velocity, consistency, and overall system reliability.

we are leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io At Artlist, we are pioneering a modern, AI-native approach to product analytics. We are looking for an ambitious Product Analyst to join us as a strategic partner and builder. In this role, you will leverage cutting-edge AI tools to amplify your impact, blending sharp product intuition with modern workflows to help shape our Product Strategy. You will spend your time tackling high-level business questions, establishing reliable metric frameworks, and building the systems that enable our product teams to move at lightning speed. Wake Up For This
* Leverage AI Tools such as Claude and Cursor: Use AI tools like Claude and Cursor as your daily co-pilots to write logic, process data rapidly, and prototype lightweight internal analytical tools.
* Act as a Strategic Advisor & Builder: Partner closely with product leaders to frame critical business questions, design evaluation frameworks, and guide high-level Product Strategy.
* Drive High-Level Product Analytics: Uncover overarching user behavior patterns, evaluate core conversion performance, and turn big-picture insights into actionable product opportunities.
* Establish Metric Definitions & Context: Define clear business logic, data dictionaries, and context files so that both human teams and AI assistants rely on a trusted single source of truth.
* Enable Speed & Self-Service: Design smart analytical frameworks that empower product teams to answer routine questions effortlessly, freeing you to focus on high-impact, strategic initiatives.

we are leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend, and achieve their creative goals. Trusted by over 30 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. For more information, visit artlist.io While Artlist builds cutting-edge AI products to empower creators globally, this role is the other side of that coin. You will build the AI the company runs on internally. You will build the layer that enables, guides, and controls AI efforts across the organization- the identity, access, and audit backbone for internal AI - along with the assistants and automations that run safely on top of it. This is a hands-on infrastructure role with a security, fin-ops, and DevOps reflex built in. You will help teams move quickly as you will define the infra they should use and we manage this infra. What you'll own
* Platform ownership. Own the full lifecycle of internal AI and automation platforms - runtime infrastructure, CI/CD, and identity controls, end to end.
* Identity, cost & control. Implement identity, boundaries, technology, cost, efficiency.
* Workflow architecture. Design and service automations and custom AI assistants for internal teams (Support, Marketing, Legal, Finance, HR, and beyond)to help solve real operational pain.
* Research & tech scouting. Continuously evaluate emerging models, agent frameworks, and SaaS tools and onboard and implement them in Artlist.
* Standardization. Establish reusable design patterns, integrations, and prompt libraries so teams can automate their own work safely, efficiently and smoothly, for the best experience..

Join the Front-End Design team, at the core of silicon development. Our engineers cover the full spectrum of chip design: definition, architecture, micro-architecture, RTL design, verification, signoff, and validation.
We leverage cutting-edge silicon technologies and methodologies to develop the largest-scale and most advanced devices, pushing the boundaries of whats possible.
Your Impact:
Review micro-architecture specifications
Implement Verification environment UVM based
Collaborate with Design engineers to resolve bugs and achieve coverage closure
Work with the firmware/Lab teams to verify chip flows
Perform debug, root-cause analysis, and post-silicon validation in the lab

We are looking for an experienced Design Verification engineer to join our DFT team and help establish and grow DFT DV activity in the Cisco SiliconOne DFT team. This role is relevant for engineers with experience in DV roles, either in DFT DV or in other verification domains, who are interested in becoming familiar with DFT design, verification methodologies, and the challenges of validating testability features in advanced silicon.
Your Impact:
Lead and drive DFT verification activities within the Cisco SiliconOne DFT team.
Develop verification plans, environments, checkers, assertions, and coverage models for DFT features.
Verify DFT architecture and implementation in close collaboration with DFT, design, architecture, and verification teams.
Work on verification of scan, MBIST, IJTAG/JTAG, test access mechanisms, DFT controllers, and related SoC-level test features.
Debug complex pre-silicon issues across RTL, verification environments, and DFT logic.
Contribute to scalable methodologies, reusable verification components, and best practices for DFT DV.
Help bridge between general DV methodologies and DFT-specific design and verification needs.

You will manage the full sales cycle, from lead to close, while driving revenue growth by refining sales processes and collaborating with Product and Marketing. Your role involves identifying high-potential leads and navigating both simple and complex sales deals in a consultative manner. Additionally, you will track performance, report key metrics, and present proposals to management to continuously improve the sales process.

Were looking for a full-time Assistant Controller to join our growing finance team in Tel Aviv. This role reports directly to the Controller and is ideal for someone who thrives in a fast-paced environment, takes ownership, and brings a strong hands-on approach to every task.


Wake up for this:
Take part in the day-to-day finance operations of the company.
Play a key role in the month-end, quarter-end, and year-end closing processes.
Support the preparation of consolidated financial statements in accordance with US GAAP.
Manage and support US payroll processes and employee-related finance operations.
Work closely with external auditors, tax advisors, and service providers.
Analyze financial results and provide insights to management on a monthly basis.
Support deal-related financial processes, including customer agreements, billing flows, and revenue-related operations.
Build and improve financial processes that can scale with the companys growth.
Prepare reports, reconciliations, and ad-hoc analyses as needed.
Ensure compliance with local and international reporting requirements.
Be willing to roll up your sleeves and work hard in a demanding, high-performance environment.
Take ownership of tasks end-to-end with strong attention to detail and accountability.

We will equip you with all the tools and best practices to be the best in business development: researching, identifying and engaging high-potential leads, initiating outbound outreach through calls and emails, qualifying opportunities and setting the stage for meaningful sales conversations.

Working days are Mondays to Fridays, our offices are located in Tel-Aviv.

Were hiring a DevOps Engineer to join our growing DevOps team. You'll be working hands-on with modern AWS-native technologies, helping us scale secure and observable cloud environments, while partnering closely with developers to build and ship reliably.

Responsibilities
Manage scalable, production-grade AWS infrastructure with Terraform.
Maintain Kubernetes clusters, including deployments, autoscaling, and ingress.
Handle cross-service communication using Kafka, SQS, or PubSub.
Set up observability and alerting using Grafana, Prometheus, and log aggregation tools.
Maintain CDN for traffic protection, rate limiting, and caching.
Manage and improve CI/CD workflows using GitHub Actions and ArgoCD.
Collaborate directly with developers on environment setup, debug sessions, and deployments.
Implement IaC and GitOps patterns across services and teams.
Participate in production operations, incident response, and on-call rotations.