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We are looking for a Backend Engineer to join the development of our scalable, AI-powered product systems.
What You'll Do:
Join a role that combines deep backend expertise with solid frontend fluency and product thinking, along with the ability to leverage AI tools effectively across the development lifecycle. You will work closely with product, design, frontend, and data/AI teams to build reliable, performant systems and intuitive user experiences, while driving engineering excellence and modern development practices. Your contributions will shape the technical foundation of an AI-first product and directly influence the experience of end users.
What does the day to day of a Senior Backend Engineer look like:
Your daily work will span backend architecture, frontend collaboration, and AI-augmented development, engaging directly with the systems that power our product.
Your role will include:
Design and build scalable, maintainable backend services using NestJS (Node.js/TypeScript) and/or Python
Own API design, contracts, and versioning across services
Design and optimize data models, database schemas, and query performance
Implement authentication, authorization, and secure API integration patterns
Build reliable data-fetching layers, caching strategies, and async processing (queues, jobs, events)
Lead backend technical decisions, code quality standards, and system architecture
Ensure system scalability, fault tolerance, and observability (logging, monitoring, alerting)
Contribute to CI/CD pipelines and deployment practices for backend services
Collaborate on frontend applications built with React, TypeScript, and Vite, and contribute to API contracts from the consumer's perspective
Partner with frontend engineers to align on data shapes, performance, and UX constraints
Translate product requirements into robust, scalable technical solutions, working closely with product and design
Conduct high-quality code reviews and drive architectural discussions and best practices
Improve testing, observability, CI/CD, and system reliability across the team
Use AI coding tools effectively in daily development work (Cursor, Copilot, Claude, ChatGPT, etc.), critically evaluating and refining AI-generated code, especially for backend logic and data integrity
Design efficient personal/team workflows for AI-assisted development and contribute to engineering productivity through AI tooling and automation

We are looking for an Equity Manager to join our Team.
What does the day-to-day of an Equity Manager look like:
Equity focal point for Finance, Legal, and HR aspects.
Administer all aspects of the companys equity plan (including new grants, vestings, exercises, releases, cancellations, forfeitures, ESPP plan, mobility).
Maintain the integrity of the equity database with the 3rd party Stock Plan Administrator, and manage the day-to-day relationship with that provider.
Oversee the daily activity following exercises and releases, i.e., proper tax withholding, reporting to local payroll, and accurate fund disbursements.
Perform month-end closing procedures and assist with public reporting according to ASC718 Stock-based Compensation.
Manage all tax aspects in the various jurisdictions related to equity.
Perform presentations/training sessions to the companys employees.
Ensure compliance with statutory requirements and manage SOX controls and blackout periods.
This role will include some other responsibilities in the Finance Team outside of Equity.

Responsibilities:
Lead product and feature launches end-to-end: narrative, naming, enablement, web, press, and the launch moment itself.
Own analyst relations, including managing relationships with firms, coordinating briefings and inquiries
Conduct win/loss interviews, competitive analysis, and customer research to sharpen positioning and keep the team ahead of market shifts
Own competitive intelligence, monitoring market trends and adapting messaging to stay ahead in our space
Collaborate closely with Product, Sales and Marketing to ensure a unified narrative across the funnel
Build the sales enablement layer from the ground up: pitch decks, demo narratives, battle cards, one-pagers, discovery guides, and customer proof points.

We are looking for the person who will stand up Jazz's data platform end to end - ingestion, modeling, warehouse, orchestration, cost control - and then turn it into the numbers the company actually runs on: the executive metric set, the GTM and pipeline view, and delivery reporting for R&D.

Owning the platform is a huge part of this role, but success is about more than just keeping pipelines green. You'll partner directly with execs, R&D, and sales to agree on core metric definitions, then make sure everyone across the company can easily get the data they need on their own.



What you'll do

Build the platform from zero. Design and implement the databases, ELT/ETL pipelines and orchestration on a medallion architecture that other people can safely build on top of.
Own the gold layer as the single source of truth. Modeled, tested, documented and trusted, the layer the company argues from, not about.
Define the company's metrics. Work with leadership to define organizational KPIs, instrument them, and keep the definitions honest as the business changes.
Build dashboards that executives actually use. Take complex, multi-source data and make it legible to a C-level reader in thirty seconds.
Serve every BI consumer at Jazz. Sales and GTM (pipeline, funnel, forecast, Salesforce data), R&D (delivery, quality, product usage), Finance and Operations.
Run it in production, at scale. Reliability, data quality, alerting and monitoring, including active tracking and reduction of infrastructure and warehouse costs.
Set the standards. Modeling conventions, testing, documentation, access control, and how BI requests get intake and prioritized.
Make things happen across the org. Present, persuade, and drive alignment between stakeholders who define the same metric three different ways.
Work with AI as a multiplier. We expect heavy, deliberate use of AI in how you build, model, investigate and enable others.

Were looking for a sharp and driven Product Data Scientist to join our fast - paced Data Labs team.
As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights.
The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure.
Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day-to-day of a Product Data Science Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will help answer clients business questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with the Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

We are looking for a creative, sharp, Lean and open-minded Senior Product Manager to join our product team. In this role, you will lead the planning and execution of innovative product initiatives that merge cutting-edge technology with a mission to protect bees and improve pollination.

What You'll Do?
Gather, analyze, and translate business and customer needs into clear, actionable product specifications.
Lead cross-functional teams spanning R&D, operations, and other product managers to deliver on product strategies.
Define product objectives, KPIs, and success metrics, aligning business priorities with customer insights.
Drive the ideation, development, and launch of innovative products and platforms.
Apply lean and agile methodologies to enable fast iteration and continuous integration and improvement.
Break down complex challenges into manageable components, ensuring end-to-end solutions.
Oversee the full lifecycle of hardware products, from requirements and design to development, manufacturing, and post-launch improvements.

Were looking for a Data Engineer with a strong applied ML focus to join our R&D department!
Why is this role so important?
Our Retail Intelligence products help leading brands and retailers understand how their products, brands and categories perform online. Behind them is data collected from retailers and marketplaces around the world: product pages, brands and categories, each described differently by every site.
Your mission is to turn that data into a single, trusted view: classifying products into a unified taxonomy, normalizing brands and attributes, and matching the same entities across sources. And doing it at scale, across a catalog of more than a billion records that keeps growing and changing every day.
This is an applied ML role within data engineering. Youll build with LLMs, agentic frameworks such as LangGraph, embeddings and classical ML, and ship them as production pipelines. Its hands-on work, not research for its own sake, but it takes a real understanding of classification and NLP methods to choose the right tool for each problem and prove that it works.
So, what will you be doing all day?
Your daily responsibilities may include:
Designing and building LLM-powered and ML-based pipelines that classify, normalize, structure and match product, brand and category data
Building agentic workflows (LangGraph or similar) that automate complex data tasks end to end
Choosing the right approach for each problem (LLMs, embeddings, fine-tuned models, classical classifiers or rules), balancing accuracy, cost and latency
Scaling solutions to run efficiently over billions of records, using Spark, Databricks and our cloud infrastructure
Building evaluation frameworks: ground-truth datasets, labeling processes, quality metrics and ongoing monitoring
Taking solutions from POC to production, and owning them after launch
Working closely with Product to define requirements and shape the roadmap
Collaborating with data engineers, data scientists and other R&D teams on infrastructure and best practices.

As Operations Configuration & Change Management Engineer, you will own the configuration baseline of our products. You will manage engineering changes from release through implementation at our contract manufacturers, and keep product data accurate across our PLM and ERP systems.

Responsibilities:
Release and maintain product BOMs, part numbers, revisions and drawings in PLM (Arena) and ERP (NetSuite), following our standards and policies.
Lead the engineering change process (ECR/ECO) from end to end. This includes change review, approvals, release for sourcing and production, and making sure changes are implemented at contract manufacturers and suppliers.
Manage design freezes and production releases for new and existing products, working closely with Engineering, System and NPI teams.
Handle what an ECO means for materials: material disposition, obsolete and use-as-is inventory, MRB follow-up and the related cost documentation, including field ECO expenses.
Make sure all technical documentation meets formal requirements and standards before release.
Build and maintain operational databases, reports and automations (PLM and ERP)
Take part in change committee and cross-functional meetings. Work with Engineering, Software, Product, Supply Chain, Finance and our contract manufacturer.

Required Senior Security Researcher
Description
About us
We are building autonomous AI hackers that think like the world's best offensive security experts, act like them, and then help fix what they find before the real ones do. If this mission speaks to you, come defend the world's software: autonomously, continuously, and in-depth.
About the role:
This is a rare opportunity to work at the intersection of offensive security and AI - and to have your expertise shape a platform used at enterprise scale. As an Security Researcher, you will push the boundaries of what autonomous agents can achieve.
Your goal is to conduct cutting-edge research into novel attack vectors and vulnerabilities, using those insights to both sharpen our AI and lead the industry conversation on AI-driven security. Youll work alongside a tight-knit team building excellent software in the security space.
Responsibilites
Original Research: Develop new attack strategies and offensive testing techniques for web, network and AI targets, and translate real-world knowledge into improvements for the AI agent
Thought Leadership: Produce high-quality technical content, including research papers, stage demonstrations, or technical blog posts that showcase our unique capabilities and security philosophy.
Public Advocacy: Represent our research at major security conferences and industry events.
AI Enhancement: Part of the team improving the AI hacker to make it more dangerous and creative.
Collaboration: Work closely with AI and engineering teams to continuously improve agent capabilities and ensure research findings are integrated into the product.

Were looking for a Technical Support Engineer to support customers through technical POCs, onboarding, and ongoing use of our autonomous security platform. Based in Israel and working closely with R&D and DevOps, youll provide real-time support to North American customers. This is a hands-on role for a cybersecurity technical expert comfortable troubleshooting and resolving issues directly with customer teams.
Responsibilites
Serve as the primary technical point of contact during customer POCs - supporting deployment, configuration, and troubleshooting so prospects see value fast.
Own technical onboarding for new clients, guiding them through setup, integrations, and initial configuration of the platform.
Provide ongoing technical support to live customers, diagnosing and resolving issues across the product and its integrations.
Run live technical calls with customers over Zoom, Meet, or Teams, and support them asynchronously via email, Slack, and our ticketing system.
Triage, reproduce, and document bugs and feature requests, and escalate to R&D and DevOps with the technical context they need to act quickly.
Work closely with Israel-based R&D and DevOps teams as the connective layer between customer environments and the engineering roadmap.
Build and maintain internal and customer-facing documentation, runbooks, and troubleshooting guides.
Track support activity and flag trends or recurring issues that point to product or process improvements.
Contribute to the development of our global support framework and team, while establishing operational procedures and evaluating technical tooling.

We're looking for someone with great analytical skills, preferably with a background as a data analyst or technical implementation IC - someone who's enthusiastic about both doing complicated technical implementation and solving problems with customers.

Own multiple technical implementation flows:

1. Analyze customer catalogs (10-100k of rows with multiple properties and interdependencies) and model them into our platform.

2. Implement and troubleshoot customer rules that feed our AI 3D design.

3. Help customers with last mile solutions to get our data into their required formats.

4. Own and improve internally built AI tools for the above workflows.

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We are a young, dynamic hi-tech company seeking a passionate, resilient, and proactive Technical Support Engineer to join our growing team.
In this role, you will become an expert in the inner workings of our platform and take responsibility for Tier-1 support, cross-team investigations, and customer success enablement. You will work closely with Product, Engineering, and Business teams to ensure a smooth client experience, providing guidance, issue resolution, proactive support, and intiatiives to improve the team's performance
This is a demanding and fast-paced role ideal for someone who thrives under pressure, has deep empathy for users, and is excited about solving problems and helping others succeed.
Responsibilities:
Serve as the first point of contact for Tier-1 technical support, handling and triaging issues through Zendesk and collaborating as needed across departments.
Investigate root causes, debug issues, and coordinate escalations with engineering and product teams.
Guide customers through platform features, API integrations, and SFTP connections.
Help define and improve internal workflows by creating documentation, process diagrams, and training materials.
Reproduce and debug customer-reported problems, escalating appropriately and following up for timely resolution.
Conduct deep investigations into technical issues and ensure accurate handoff to relevant teams.
Provide product education and support to clients, helping them understand platform functionality.
Being on call for urgent issues as part of a regular rotation.

Location: Tel-Aviv Type: Full-time Seniority: 6+ years experience.

This is your opportunity to join a top-notch tech solution and have true ownership over something with a massive impact.

You Will
Design, build, and maintain core backend infrastructures.
Architect scalable, modern, cloud-native flows.
Own backend systems from design to deployment and monitoring.
Help shape backend standards and long-term technical decisions.
Collaborate in fast-paced, daily brainstorming with a technical founding team.
Our Tech stack spans multi-language backend, cutting-edge infrastructure, and cloud-native systems - all built by a fast-moving team that runs lean and thinks sharp.

A growing B2B SaaS company is looking for an experienced Head of Data Science to lead its Data Science function and drive the next generation of AI and machine learning capabilities.
This is a strategic leadership role combining people management, hands-on problem-solving, cross-functional collaboration, and ownership of data-driven innovation across the organization.
Responsibilities
Lead and mentor a global team of Data Scientists
Define and execute the company's Data Science strategy
Drive the development of advanced machine learning, optimization, and forecasting solutions
Partner closely with Product, Engineering, Customer Success, and executive leadership
Translate complex business challenges into scalable analytical solutions
Support customer-facing initiatives and strategic engagements when needed
Establish best practices for experimentation, model evaluation, and performance measurement
Act as a key stakeholder in shaping the company's AI vision and roadmap.