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We are seeking an experienced Finance Manager to lead our Inventory & Operations Accounting team. In this role, you will oversee the financial management of inventory, production yields, strategic investments, and accounting reconciliations. The Finance Manager will serve as a key partner to Operations and Supply Chain leadership, providing financial oversight on inventory health, yield performance, and operational liabilities. You will ensure the integrity of financial data while managing reserves, forecasting, and control processes. The ideal candidate will have a deep understanding of inventory management, manufacturing operations, and financial controls. This role requires a confident, self-motivated individual who thrives in a fast-paced, changing environment.

What you'll be doing:

Team Leadership: Manage, mentor, and develop a team of financial analysts. Foster a culture of excellence, providing ongoing feedback and career development guidance.

Inventory & Reserve Management: Oversee the lifecycle of inventory finance, including the calculation, forecasting, and management of inventory reserves and releases.

Yields & Operational Forecasting: Lead the budgeting and monitoring of production yields and other direct cost elements. Analyze yield performance and manage associated financial reserves and forecasting models.

Financial Control & Reconciliations: Ensure the accuracy of the balance sheet through rigorous accounting reconciliations. Closing the books, compliance, audit, Validate accounts related to inventory, reserves, and operational accruals.

PO & Liability Monitoring: Manage the monitoring of Purchase Orders (POs) and open liabilities to ensure accurate financial reporting.

Investments Amortization: Oversee the tracking, reporting, and amortization of strategic operational investments.

Process Optimization: Identify and implement process improvements to increase efficiency and automation within the inventory and control functions.

Required Account Executive - SMB EMEA
About The Role:
Do you know those people who get a great career opportunity at the perfect time and change their lives? Now its your chance to be one of them!
If you are looking for a challenging role that includes sales, products, and business development Then look no further!
As our face and the first point of contact with our customers, you will have a direct influence on our development and expansion! Become a product expert and an expert in consulting businesses from a wide variety of industries!
With all these important insights you will become the link between the product, the market, and all departments.
As an Account Executive, your role includes consulting businesses who have signed up to the platform in order to make them paying customers, provide top-notch customer service, and help improve the product based on knowledge and feedback that youll gather!
Key Responsibilities:
Working Model: Monday-Friday, aligned with European business hours.
Working hours:
Monday - Friday: 10:00-19:00
Fridays: until the entrance of Shabbat (Israel time)
You will become a product expert!
Own the full sales cycle in a quota-carrying Account Executive role.
Be the companys eyes - No one in the company knows our clients better than the Sales team
Be the face of the company - we are known for our outstanding customer service and approach
Influence the product in the light of client demands and needs
Cross department involvement and information sharing
Initiative independence and ownership.

We are looking for a visionary and hands-on Senior Mobile Infrastructure Developer to take a key role in designing, building, and scaling our mobile infrastructure.
In this role, you will work across native (iOS/Android) and cross-platform (React Native) environments, focusing on performance, scalability, and developer experience. You will play a central role in shaping the mobile foundations that enable fast, reliable, and high-quality product development.
Key Responsibilities
Mobile Infrastructure Development:
Design, build, and maintain scalable infrastructure in React Native to support mobile app development and deployment
Lead best practices and implementations in areas such as:
Mobx
Geolocation and geofencing
WebView
Encryption
Backend-mobile communication interfaces
Media compression and management
Code Push
Performance optimization and app startup time
CI/CD & Automation:
Implement and maintain CI/CD pipelines for iOS, Android, and React Native platforms
Automate and optimize build processes, testing, and deployments
Improve developer velocity through tooling and infrastructure enhancements
Architecture & Design:
Design and evolve mobile architecture aligned with best practices for native (Swift, Kotlin) and React Native
Continuously improve performance, scalability, and security
Evaluate and adopt modern tools, frameworks, and approaches
Release Management:
Take ownership of the mobile release lifecycle, ensuring smooth and reliable releases
Collaborate with QA, developers, and product teams to maintain high quality
Maintain versioning, release documentation, and rollout strategies
Collaboration:
Work closely with engineering, product, and design teams to align solutions with business needs
Partner with DevOps and infrastructure teams to improve system reliability and delivery
Share knowledge and contribute to raising the bar of mobile development practices across the team
Monitoring & Maintenance:
Implement monitoring and observability tools for app performance and reliability
Troubleshoot and resolve issues across pipelines, builds, and production environments
Ensure compliance with best practices and industry standards.

we are building the future of AI-powered software development. Our tools help engineering teams write better code, ship with more confidence, and move faster - without sacrificing quality. From intelligent code review to AI-driven test generation, our company sits at the intersection of developer tooling and cutting-edge AI. Were a fast-growing, product-led company trusted by thousands of developers and engineering teams worldwide.
Were looking for a Data Analyst to join our growing data team and help make analytics a core part of how we build. Youll work on the product-usage side of an AI product that thousands of developers rely on - understanding how teams adopt AI code review, which features drive value, and where we can make the experience better. Its a product-focused role at heart, reaching into business, operational, and cost metrics too, with room to shape how we work as the team grows.
Be the go-to analyst for the product team - drive product analytics day to day: how developers use our AI features, plus retention and conversion funnels
Turn raw product and usage data into clear, consistent metrics the team can trust
Build and maintain the modeled data layer, so metrics live in one place and analysis is repeatable rather than rebuilt each time
Build and maintain dashboards so teams can self-serve answers
Run deep-dive analysis to surface opportunities and support product decisions and experimentation
Extend into business and operational KPIs - conversion, churn, segmentation, customer value - and cost / unit-economics
Take analyses from problem definition through to clear recommendations, not just reports.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

Research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

Developing models for simulations and performance testing, analysing the results and development of future HW and SW.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

As a Research Engineer at our company, you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.
our company is the right place for you if you are:
(i) A team player Research Engineer
(ii) With (at least) 3 years of experience in algorithm development
(iii) With a recent focus on Large Language Models (LLMs) fine-tuning and prompting
(iv) Comfortable with end-to-end software development and working with a large range of tools
(v) Loves building cutting-edge yet pragmatic solutions
Responsibilities:
Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development.

At our company, were building an AI Code Review platform that helps developers move fast, ship with confidence, and elevate code quality across the SDLC through deep, scalable codebase understanding.
We are looking for a motivated and experienced Backend Engineer with 7+ years of hands-on experience to join one of our teams. As a Backend Engineer at our company, you will take ownership of features across the entire development lifecycle - from initial concept and design to deployment and maintenance in an enterprise-grade production environment. This role involves close collaboration with the product team to turn ideas into high-quality, functional software.
Responsibilities:
Develop and lead the end-to-end implementation of new features and product offerings
Design, build, and maintain efficient, reusable, and reliable code across the full stack
Collaborate with product managers and engineers
Participate in all phases of the development lifecycle, including analysis, design, coding, testing, and deployment
Ensure application performance, quality, and responsiveness.

We are looking for an experienced Senior Product Fullstack Developer who wants to redefine how software is built.
In this role, AI coding is at our heart. We don't just use AI for autocomplete; we build with agentic coding frameworks to radically accelerate our feature delivery. You will tackle a wide array of high-scale challenges, from responsive UI/UX to robust backend services, ensuring our platform remains fun, fast, and resilient for over 1 million daily active users (DAUs).
Responsebillities
Holistic Product Group Impact: You will join a cross-functional product group (with peers from Sales, CS, Support, Data, and Marketing). Together, you will understand customer needs, define the roadmap, and execute weekly sprints.
Constant Delivery & Scale: You are responsible for pushing your product forward from a technical perspective. You will architect, code, and deploy features to production at a massive scale.
AI-First Engineering: You will lead by example in leveraging advanced AI prompting and agentic workflows to automate boilerplate, optimize debugging, and multiply your team's delivery velocity.

we are building the technical layer that brings AI-native code quality into real engineering workflows. As our partnership ecosystem grows, were looking for a principal-level engineer to turn strategic integrations into shipped products.
In this role, youll be a technical visionary and builder. You will design and implement the next generation of Model Context Protocol (MCP) servers, APIs, and platform integrations for key strategic partners like cloud providers, Anthropic, Cursor, and OpenAI. This is a high-leverage role where your expertise will directly shape how our company- the missing quality-focused system-plugs into the complex, autonomous, multi-agent development environments of tomorrow.
Ideal for someone who thinks deeply about developer experience, moves fast, and enjoys building technical infrastructure that scales through partnerships.
Mission: Make our company unavoidable across the Agentic SDLC. Own the integration playbook that brings our company into every critical developer surface - IDEs, repos, CI/CD, code review, cloud platforms, and the AI agents shaping how software gets built. Build the technical layer that turns our company into the default quality, governance, and trust gate across the SDLC, translating cutting-edge research into integrations that scale, ship, and become embedded in how teams work.
Responsibilities
Wrap our companys capabilities as a public, composable surface. Turn our company Review, Aware, and Skills into clean, documented building blocks that any partners engineering team can adopt without hand-holding. Treat the public API, SDK, and MCP surface as a product - versioned, stable, well-documented, and obsessively focused on DX.
Be the engineering counterpart on partner conversations. Sit shoulder-to-shoulder with the Product Partnerships Lead in partner discussions. Translate ambiguous we want to integrate conversations into concrete technical scopes, integration paths (MCP vs. SDK vs. API), and shipping timelines. Be credible enough that a partners principal engineer takes the conversation seriously the first time.
Ship marketplace and cloud integrations. Own the technical execution behind cloud marketplace launches (AWS, Azure, GCP) - deployment artifacts, SaaS metering, private offer plumbing - so the commercial motion is never bottlenecked by engineering.
Define the integration playbook. Make the path from new partner interested to integration live repeatable. Document the patterns, build the reusable primitives, and reduce the per-partner engineering cost over time so the team can scale partnership volume without scaling headcount linearly.
Hold the DX bar across every partner-facing surface. Docs that work the first time. SDKs that dont surprise. Errors that explain themselves. Examples that run. If a partners engineer cant get to hello world in 15 minutes, thats on you.

We are seeking a skilled and experienced Senior Frontend Infrastructure Engineer to join our Core Team. As a member of this team, your main responsibility will be crafting and evolving the frontend infrastructure of our product. You will focus on building resilient, scalable frontend frameworks, tools, and libraries that empower and support our React-based application and the teams building on top of it.
Responsibilities
Design, develop, and maintain frontend infrastructure, including frameworks, tools, and libraries, to ensure high performance, scalability, and long-term maintainability.
Work closely with product and R&D teams to understand requirements, influence technical decisions, and ensure infrastructure solutions align with real product needs.
Serve as a senior technical authority in the frontend domain, leading by example through high-quality architecture, code, and best practices.
Identify and implement improvements to the frontend development experience, including automation, developer tooling, code reuse, and performance optimizations.
Take part in architectural discussions and help shape frontend standards and conventions across the organization.
Stay up-to-date with modern frontend technologies, trends, and best practices, and apply them pragmatically to improve development efficiency and product quality.
Conduct code reviews with a strong focus on maintainability, performance, and scalability.
Troubleshoot and resolve complex frontend infrastructure issues in collaboration with other engineers and infrastructure teams.

We are looking for an experienced Data Product Manager with a strong Data Science and Analytics background to own and lead data driven solutions.
In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.
Key Responsibilities
Marketing Data Product Ownership
Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.
Business Analytics, Data Science & AI-Driven Marketing Optimization
Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
Work closely with stakeholders to understand what needs to be measured, why and how.
Lead data science, analytics, and AI initiatives that optimize marketing performance
Own and evolve core marketing models including attribution, MMM, LTV prediction.
Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
Translate complex model outputs into clear, trusted insights for business users.

At our company, were building an AI Code Review platform that helps developers move fast, ship with confidence, and elevate code quality across the SDLC through deep, scalable codebase understanding.
Were looking for a Talent Acquisition Partner to join our People team. Someone experienced enough to lead hiring processes end-to-end - but still hungry to grow, constantly improve, and help shape what recruiting looks like in an AI-first company.
If youre looking to do more than recruitment- this is an opportunity to influence how we hire, who we hire, and how we scale.
This is about building teams, influencing decisions, and making our company win.
Our teams values and how we work
One team. Clear ownership, zero silos
High standards. We care about quality and speed
No ego. We challenge each other to get better
Mission-driven. We do what it takes to make our company win
What Youll Do
Own full-cycle recruiting across Engineering, Product, and GTM roles - from building pipelines across channels, through interviews, to closing
Partner closely with hiring managers to deeply understand needs (technical + cultural), shape roles, and guide hiring decisions
Work hand-in-hand with the Talent Acquisition Coordinator to run efficient, high-quality processes
Create exceptional candidate experiences - fast, sharp, human
Track and analyze pipeline data to continuously improve how we hire
Contribute beyond recruiting: employer branding, People initiatives, and anything else that moves the needle.