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we are looking for an experienced Senior Full Stack Engineer to join the development of SeeTrues state of the art security screening platform. The Fullstack Eng will work closely with the Engineering leadership on the architecture and UI/UX implementation.

In this role, you will lead the design and architecture of a scalable, high-performance application platform that serves as the foundation for the entire ecosystem. You will engineer a complex hybrid environment-spanning from on-premise edge devices to cloud infrastructure-to support a diverse suite of applications. These include real-time operational detection, offline forensic analysis, system monitoring, and remote control capabilities. By integrating best-in-class computer vision and machine learning techniques, you will deliver the architecture necessary to power a first-of-its-kind automated security solution.

we are looking for a hands-on, business-oriented, and highly motivated self-driven Presales Engineer who loves solving complex technical challenges and delivering solutions that truly make a difference. You will work at the intersection of innovation and impact, helping our customers achieve meaningful outcomes through our cutting-edge products.

Responsibilities

Be part of a mission-driven startup that combines cutting-edge technology with real-world impact. Your work will help organizations do good while solving complex technical challenges.

Lead presales efforts for potential customers, delivering engaging sales presentations, technical insights, and supporting the sales team throughout the process
Understand customer businesses, processes, and needs to propose the right solutions and demonstrate clear value
Run product demonstrations and technical deep-dive sessions with customers, prospects, and partners. Take full ownership of the process, including PoC execution, analysis, and presentation of results. Analyze reports and perform in-depth reviews of statistical data to derive insights and support customer discussions
Generate high-quality proposals and sales materials, collaborating with the marketing team on technical content, product positioning, and key selling points
Partner closely with Sales and Product teams to identify customer challenges, design solutions, and ensure successful delivery. Coordinate with R&D, Delivery, and Customer Success as needed
Provide continuous feedback to the Product team regarding customer requirements, product performance, and market insights to drive product evolution and impact
Travel approximately 40% of the time

We seek an open-minded, technical-savvy DevOps Engineer to join our DevOps team.
We are heavily invested in open source and constantly search for new ideas and technologies to help support our fast-growing and diverging business requirements.
Responsibilities:
Maintain and advance our always-on AWS services production environments.
Lead efforts to improve its availability, performance & reliability.
Design and manage our cloud infrastructure.
Deploy and monitor our code using advanced tools.
Develop build pipeline together with R&D teams.
Actively support and work closely with the development teams.

we are looking for a Fullstack Engineer to join our team and help build scalable, high-performance web applications that power our digital advertising platform. In this role, you will work across the entire stack, developing modern frontend interfaces with Vue.js and robust backend services using NestJS and TypeScript. Youll collaborate with cross-functional teams to design, build, and optimize applications that process large-scale data and deliver innovative solutions to global brands and publishers.
Responsibilities:
Develop full-stack applications using Vue.js, NestJS, and TypeScript.
Design and build RESTful APIs with authentication, authorization, and RBAC.
Create reusable Vue components and maintain scalable, maintainable backend services.
Write clean, well-documented code and participate in code reviews.
Debug, troubleshoot, and optimize applications across the entire technology stack.
Collaborate with cross-functional teams to deliver high-quality product features.

If you enjoy solving problems where security, scale, distributed systems, and adversarial thinking collide - this is your kind of challenge.
What Youll Do:
Youll collaborate with backend engineers, infrastructure teams and security and cryptography researchers to ship production-grade highly secure digital signing systems, balancing cryptographic rigor, performance constraints, and distributed reliability in a domain where small mistakes have massive consequences. This includes:
Architecting, designing and implementing distributed backend services responsible for key generation, storage and lifecycle management
Developing high-assurance signing protocols and signing flows (utilizing MPC or external signing devices)
Building easy to use, secure backup and disaster recovery mechanisms for cryptographic material
Hardening systems against adversarial conditions and real-world attack vectors
Optimizing performance-critical components that execute complex operations
Providing visible value to customers by constant product optimisation
Winning new customers with industry leading flexible deployments

we are seeking a highly technical, partner-facing Integration Engineer to join our Network team. In this role, you will be the primary technical driver for onboarding partners to the Network and maintaining quality and product excellence with existing partners.
You arent just following a manual; you are a technical consultant, a troubleshooter, and a bridge builder. You will work closely with R&D, Product, and Business, ensuring that every provider integration is seamless, secure, and scalable.
What Youll Do:
Own the Integration Lifecycle: Lead partners from initial discovery through to production go-live, serving as their dedicated technical Point of Contact.
Act as Tier 1 R&D: Deep-dive into the code to answer complex architectural questions. Youll debug, write code, analyze API logs, and solve technical hurdles.
Bridge the Gap: Translate business needs into technical requirements. Youll help partners understand how to map their existing infrastructure to our protocol.
Collaborate Cross-Functionally: Work hand-in-hand with Product to relay feedback from the field and with Business to ensure the providers commercial goals are met.
Scale the Process: Develop technical documentation, tools, and integration best practices to streamline the onboarding process and making it more intuitive.

Required Senior Deep Learning Algorithm Researcher - Air2Road Localization
Description
Backed by over 250 patents and trusted by global industry leaders including Toyota and BMW, we are redefining AI for the future of autonomous driving.
Our breakthrough Air2Road Localization technology fuses aerial imagery with real-time ground view data to achieve accurate vehicle localization, even in areas where GPS fails. Join our Air2Road team to shape the next generation of AI-driven localization, tackle cutting-edge research challenges, and turn state-of-the-art deep learning into real-world impact!
Responsibilities
As a senior member of the Air2Road algorithm team, you will:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Use classical computer vision algorithms together with deep learning to build robust solutions.
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.

Required Senior Algorithm Engineer
Description
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

Required Embedded SW Developer
Description
A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
Develop real-time computational solutions for SoCs and hardware accelerators within edge devices.
Design, develop, and maintain Perception, Navigation and Planning stack software.
Port python algorithms to high quality, safe optimal C code.
Handle memory and runtime sensitive environment.

Required Deep Learning Algorithm Developer - ADAS group
As part of the algorithm team for the next generation of autonomous driving, you will:
Responsibilities
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g., object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks, and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post-processing, training, and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

As a Senior AI Engineer on the Guardian Agents team, you will develop both our autonomous "digital employees" that execute security programs and the Control Plane that governs them. You will build a platform that allows customers to calibrate agents through conversation, ensuring human feedback is transformed into persistent organizational knowledge. By engineering these closed-loop systems, you enable agents to learn, evolve, and deliver accurate, goal-driven security outcomes at scale.
What Youll Do:
Architect Autonomous Agents: Build goal-driven agents for complex security tasks like false-positive reduction and automated triage.
Build the Control Plane: Develop the infrastructure for Human-in-the-Loop (HITL) feedback, natural language calibration, and stateful memory systems.
Engineer for Growth: Implement evaluation frameworks and "organizational memory" to ensure agents stay accurate and follow historical security precedents.
Bridge AI & Engineering: Collaborate in a "Core Pod" with Security Researchers and Data Scientists to turn raw security signals into scalable, productized agent behaviors.
Scale Data Pipelines: Integrate agents with Big Data foundation to ensure real-time context and tenant-safe execution.

we are looking for a Software Engineering Team Leader.
Responsibilities:
As an Engineering Manager, you will need to manage, lead and guide a team of software engineers and identify and improve processes, procedures, technical knowledge and expertise of the team.
You will assume ownership of features and deliver value to customers, understand their domain & use cases and provide solutions to their problems
Design, implement and maintain micro-services implemented various technologies and services on AWS and Azure
Deliver high-quality reusable & maintainable features covered by unit tests, components and E2E tests with metrics and monitoring capabilities to enable proper deployment to production
Collaborate with team members and other groups via open discussions, design reviews, code reviews, etc

Required Solution Engineer
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, and SciPlay
The Demand Forecasting team is at a pivotal, high-growth stage. This role is highly dynamic, requiring a blend of technical depth and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of our Demand Forecasting module.

The right candidate is an avid learner, an advocate for customers, and a collaborative teammate. The main responsibility of a Support Engineer is to help users solve technical challenges and use us to make impactful product decisions. Weve had team members focus on developing their technical skills to join the product and engineering teams, hone their customer-facing skills to become customer success managers or sales engineers, and take on leadership roles in the Support organization.

Responsibilities

The core responsibility of a Support Engineer is to support our customers at every turn in the company`s journey by providing answers to product questions, sharing best practices, and debugging technical issues. You'll also develop your technical skills, collaborate with our Product team to improve our product, learn product analytics, and mentor new team members.

Become a product expert - you will help users understand our reports and features, help them use our APIs and SDKs, share best practices, and resolve account issues.
Respond to customer inquiries via Zendesk email, chat, Slack, and phone calls.
Investigate and document bugs and feature requests to share with our Product and Engineering teams.
Provide feedback regarding internal support processes, product functionality, and customer education resources to improve the customer experience.
Shape the product by regularly working closely with PMs, engineers, and designers to incorporate customer learnings into change.

We are an event analytics platform for builders who need answers from their data at their fingertips. When everyone in the organization can see - and learn from - the impact of their work, they are poised to make better decisions. As a Sales Engineer, you are critical in presenting the value of our capabilities to a broad set of prospects. As we continue to grow our Sales organization, you'll be collaborating with Account Executives, Account Managers, and the Country Manager as a trusted advisor to customers, working to tie our solutions to their business needs. Our SEs need to be nimble, able to clearly articulate the technical benefits and requirements of our to developers and product managers, and express the value of our product to high-level executives.
In the first month, you will become our expert on both features and functionality, as well as implementation. You will be given the opportunity to shadow customer calls and demos with current Sales Engineers and Account Executives while learning how to articulate our value proposition. You will be trained on our internal systems and tools in order to be set up for success.
Within the first three months, you will be directly involved in deal cycles with Account Executives. You will lead the technical qualification for customers use cases and deliver customized demos for prospects. You will have a clear understanding of how we are implemented across all platforms and be able to guide customers toward the right solution for their needs. The SE will be critical in setting expectations for successful implementations and preparing both internal and external teams for long-term success.

Responsibilities:
Serve as a trusted technical advisor for prospects to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes.
Effectively communicate and consult at all levels of the customers organization to earn customers' trust and ultimately influence buying decisions.
Bridge the technical-business gap with your prospect - working with high-level business stakeholders to define success for proof of concepts and successfully execute and achieve those outcomes.
Utilize your knowledge and technical and consultative skills to impart best practices throughout proof of concept projects.
Partner with Account Executives to drive revenue growth by serving as the key technical contact for the customer.
Partner with post-sales teams to ensure the articulated pre-sales value proposition translates into tangible post-sales value.
Complete RFPs and Security Questionnaires.
Work cross-functionally with different organizations such as Sales, Marketing, Customer Success, Product, Engineering, and Legal.
Actively utilize Salesforce to track deal activity and customer requirements.
Be the Voice of the Prospect by collecting feedback from our potential customers and delivering it to the Product team.
Partner with Account Executives to drive revenue growth by serving as the key technical contact for the customer.