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We are seeking a Strategic Account Manager to lead complex commercial engagements with leading automotive OEMs and Tier 1s in the ADAS ecosystem to join our dynamic Sales team. This role included managing long cycle, multi stakeholder deals from early positioning through RFQ to final commercial negotiation and execution. In this role, youll have the opportunity to build relationships with industry-leading OEMs and lead the Sales lifecycle of our advanced SOC software solutions for ADAS applications
What will your job look like?
Own and drive Sales activities for strategic OEM accounts, leading commercial strategies end to end.
Create long term relationships with strategic customers through proactive engagement, strong negotiation, and consistent value delivery.
Manage the entire sales process from RFQ/RFI review to issuing competitive price indications and negotiating commercial terms across 12 to 24 month sales cycles.
Lead the commercial aspects with strategic customers, including direct engagement with procurement and executive stakeholders.
Be the single point of contact for customer commercial inquiries, ensuring a seamless communication flow and outstanding customer experience across complex internal and external stakeholder environments.
Translate complex technical capabilities into clear business and commercial value propositions that resonate with clients.
Work in a team supporting multiple OEMs and Tier 1s in driving success together while aligning closely with BD, product, finance, legal, and executive teams to move deals forward.
Drive momentum and push deals forward despite internal and external friction, ensuring progress in complex and political sales environments.

About us Think about literally anything in your house. Your shirt. Your phone. That random IKEA wrench thingamabob you still haven’t thrown away. Odds are, it all came from somewhere else. Freight is the invisible magic trick that makes the global economy work. And we’re the ones helping it work a little bit faster, smarter, and cheaper. Freightos (Nasdaq: CRGO) is the global booking and payment platform for the trillion-dollar freight industry. Hundreds of airlines and ocean liners, thousands of freight companies, and over ten thousand importers and exporters use our platform to move goods around the world faster and more efficiently. This matters. Efficient freight ultimately makes things cost a little bit less when you buy them in the store. We’ve been on a rocketship (freight ship?) of double-digit growth for years, and we’re nowhere near done.
About the Role Freightos is seeking an experienced finance leader to join our fast-paced team and help transform the global freight industry. As Director of Global Accounting & Reporting, you will lead our global accounting, external audit reporting, compliance, and finance operations. You will oversee the financial control environment across multiple international entities and serve as a key leader in ensuring the integrity of financial reporting and regulatory compliance for a Nasdaq-listed company. This is a unique opportunity to play a critical leadership role in a growing global organization, ensuring financial excellence, regulatory compliance, and operational scalability.
Key Responsibilities
* Lead all global accounting and tax activities across the company's international operations.
* Provide overall ownership and oversight of the consolidated financial statements and external financial reporting requirements, ensuring timely and accurate delivery.
* Manage relationships with external auditors and lead the annual global audit process.
* Ensure compliance with IFRS, SEC/Nasdaq requirements, and local statutory regulations.
* Lead the design, implementation, and ongoing monitoring of Sarbanes-Oxley (SOX) compliance processes and internal control frameworks across the organization.
* Oversee global tax compliance, tax planning, transfer pricing, and coordination with external advisors.
* Lead the monthly, quarterly, and annual period-end processes, ensuring timely and accurate reporting across all entities.
* Support M&A activities, including financial due diligence, integration planning, and post-acquisition accounting.
* Drive continuous improvement of finance processes, systems, integrations and internal controls to support the company's growth and scalability.
* Partner closely with FP&A, Legal, Treasury, HR, and operational leaders on corporate initiatives and strategic projects.
* Lead and develop a global finance organization across multiple international entities.
* Manage and oversee the payroll process in several jurisdictions.


Hybrid:
Yes

We are looking for a strong, hands-on Data Engineer to join our team and play a key role in building our data infrastructure from the ground up. In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases. You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows - from ingestion to consumption. This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.
What will your job look like?
Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
Design and implement scalable, flexible data architectures to support evolving business needs.
Build and manage data platforms, including data lakes and data warehouses.
Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.

We are looking for a Staff AI Platform Engineer to join the Development Platform team, which is responsible for accelerating our R&D velocity and elevating product quality.

We need a pragmatic systems thinker who is deeply passionate about Developer Tools (DevTools) and the future of generative AI. You can architect a distributed LLM workflow in the morning, and influence engineering behavior across the entire org in the afternoon.
In this role, you will enable 200+ engineers to safely and reliably leverage agentic AI.

What You'll Do:
Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software.
Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security.
Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity.
Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams.
Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops.

our company is a leading hybrid cloud security company revolutionizing the way organizations manage cyber risk. We provide cutting-edge exposure management solutions by simulating real-world attack paths across cloud and on-prem environments. Our technology identifies misconfigurations, vulnerabilities, and identity exposures, allowing organizations to remediate risks with minimal effort.
We are looking for a motivated SRE Intern to join our Site Reliability Engineering team in a part-time capacity. This is an exciting opportunity to gain hands-on experience operating large-scale, multi-cloud production infrastructure that powers a real cybersecurity product. You'll work alongside experienced SREs on the systems and automation that keep our platform reliable, observable, and secure. Responsibilities: Help build and maintain automation and tooling that improve the reliability and operability of our production environments Work with Kubernetes and multi-cloud infrastructure (AWS / GCP / others) under the guidance of senior engineers Contribute to our observability stack - dashboards, alerts, and monitoring - to help us detect and understand issues faster Write scripts and small services ( Python / Go / NodeJS) to automate operational tasks and reduce manual work Participate in investigating and resolving production issues, learning real-world incident response and troubleshooting Collaborate with developers and SREs across the team to ship and operate changes safely

We are looking for an experienced, creative, and highly motivated Product Manager with experience in complex cybersecurity products to join us and lead some of our portfolio's most innovative parts.

What you'll do:
Collaborate with executives, peers, clients, and analysts to define the vision and strategy of the domain under your responsibility.
Translate strategy to product roadmaps based on market requirements, competitive position, and operational constraints.
Communicate plans and establish shared understanding across the company by building consensus on priorities.
Oversee product development by our top-notch RnD organization.
Work closely with Pre and post-sales teams to ensure product market fit and customer satisfaction. Define and analyze metrics that inform the success of products.
Maximize efficiency and improve product management methodologies

We're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, Machine Learning, and generative AI within the automotive sector. With over $380.5 in funding and strategic partnerships with industry giants such as Amazon, Hertz, General Motors, Volvo, and CarMax,we stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We are looking for an experienced, highly independent, and hands-on Senior Bookkeeper to join our Finance team and take ownership of the company's bookkeeping and accounting operations. This is a key role for a finance professional who thrives in a dynamic environment and enjoys being deeply involved in the day-to-day financial activities of the business while maintaining a broad view of the company's financial health. The ideal candidate will bring strong technical accounting expertise, a proactive mindset, and the ability to independently manage end-to-end accounting processes in a fast-paced, global organization.
A day in the life and how youll make an impact:
* Ownership of the company's day-to-day bookkeeping and accounting activities, ensuring accuracy, completeness, and compliance across all financial processes.
* Manage the end-to-end accounting cycle, including accounts payable, reconciliations, journal entries, month-end and year-end close, and general ledger maintenance.
* Oversee accounting activities across multiple entities, including intercompany transactions and reconciliations.
* Partner closely with Operations, Procurement, Logistics, HR, and external service providers to ensure accurate financial reporting and efficient business processes.
* Maintain strong internal controls and support statutory reporting, audits, and regulatory compliance requirements.
* Drive process improvements, automation initiatives, and the implementation of scalable accounting practices to support the company's growth
* Serve as a trusted and hands-on finance professional for day-to-day execution and problem-solving.

We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.

What you will do:

Automate Deployment and Operation
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.

Monitor and Support Production Systems
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.

Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).

Optimize System Performance
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.

Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.

Develop and Maintain Infrastructure
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.

Secure Infrastructure Access
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.

Required Research Scientist - LTX Model Evaluation
The Role
As a Research Scientist in Model Evaluation, you are the ultimate authority on model quality and utility. You will design the automated judges, reward models, evaluation datasets, and benchmarking ecosystems that determine the future of LTX. Your mission is to provide the "ground truth" for our pre-training and post-training teams. You will blend the rigor of a researcher with the intuition of a product-thinker, developing metrics that capture both the aesthetic soul of a video and the functional precision required for high-stakes professional use.
Key Responsibilities:
Steer Training & Research: Systematically evaluate model checkpoints to provide actionable insights that guide training experiments and architectural decisions.
Design Benchmark Ecosystems: Develop and run rigorous benchmarks for release candidates against competitive models, ensuring LTX-2 remains world-class.
Build Next-Gen Metrics: Develop robust automatic metrics and Reward Models (e.g., for RL, ITS, auto-research agents) that quantify complex attributes like temporal coherence, physical correctness, spatial accuracy, and foley synchronization.
Diagnose & Analyze: Perform deep root-cause analysis on model failures, providing the diagnostic clarity needed for researchers to implement targeted fixes.
Scale Evaluation: Collaborate with platform engineers to deploy evaluation frameworks across large-scale GPU clusters.

Required Research Scientist - Audiovisual Generation, Model Foundations
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-2 Core team.
Weve been at the forefront of innovation in text-to-image and text-to-audio+video generation, with LTX-2 driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing:
Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
Publish papers and open source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.