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We are looking for a Director of Product Management to lead the strategy, vision, and execution of our technology.
This is a highly strategic leadership role with responsibility for shaping the future of AI-powered Managed Detection and Response. You will work closely with executive leadership, Security Research, Incident Response, Detection Engineering, Customer Success, and Engineering teams to define the next generation of MDR capabilities and drive Velocity's growth and market differentiation.
The successful candidate will combine strong product leadership experience, deep cybersecurity expertise, and a passion for leveraging AI to transform security operations.
Main Responsibilities:
Define and execute the product vision, strategy, and roadmap for the Velocity TDIR platform.
Lead the evolution of Velocity into an AI-powered security operations platform, incorporating Generative AI, AI Agents, automation, and advanced analytics to improve detection, investigation, and response.
Own product business performance, including adoption, customer satisfaction, retention, competitive positioning, and growth.
Drive the development of innovative MDR capabilities that improve security outcomes, analyst productivity, and operational scalability.
Partner closely with Security Research, Detection Engineering, Threat Intelligence, and Incident Response teams to transform emerging threats and attacker techniques into differentiated product capabilities.
Oversee the end-to-end product lifecycle, from concept and prioritization through delivery, adoption, and continuous improvement.
Continuously assess market trends, customer requirements, and the competitive landscape to identify growth opportunities and strategic investments.
Engage directly with customers and strategic prospects to understand their challenges, validate product direction, and strengthen market positioning.
Serve as a product evangelist, representing Velocity's vision and capabilities with customers, partners, analysts, and industry forums.
Collaborate with Engineering to ensure scalable, secure, and high-quality product delivery.
Manage product investments and priorities to maximize customer value and business impact.

we are on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, we are recognized as the leading transportation technology and service provider globally.
As a Staff ML Engineer at our company, you will play a central role in shaping how millions of riders and drivers move through our cities every day. Our team sits at the intersection of machine learning, optimization, and real-world operations - turning complex, multi-dimensional challenges into the real-time intelligence that powers our company's mass-scale automated dispatch system. This is a rare opportunity to work on problems that are genuinely hard, at a scale that is genuinely rare, where the solutions you build have a direct and visible impact on the efficiency and reliability of transit networks around the world.
About the Role:
Own the development of ML models and optimization algorithms that drive our company's real-time dispatch system - making smart, scalable decisions across thousands of simultaneous rides, drivers, and operational constraints.
Design and implement online algorithms for real-time decision-making, balancing system utilization with a consistently high quality of service for riders - where every millisecond and every percentage point of efficiency matters.
Model and mathematically represent competing demands on our company's system, translating messy real-world operational complexity into elegant, tractable formulations that can be solved at scale.
Use sophisticated statistical methods to analyse demand patterns, traffic dynamics, and fleet performance - generating insights that directly inform algorithm development and operational strategy.
Collaborate closely with engineering, product, and operations teams to bring complex algorithmic work to life in production - owning the full journey from research and prototyping through to real-world deployment and iteration.

We are looking for highly capable Incident Response Expert. The Incident Response Expert role includes conducting in-depth forensic analysis, investigation and response to real-world cyber threats. A significant part of our investigations is performed onsite at the client location, in collaboration with the clients IT and security teams.
Main Responsibilities:
Participate in forensic and incident response investigations, including large scale sophisticated attacks, conduct log analysis, host and network-based forensics and malware analysis.
Participate in threat hunting: proactively hunt for targeted attacks and new emerging threats in clients networks; as well as security assessments and simulations.
Identify indicators of compromise (IOCs) and tools, tactics, and procedures (TTPs) to help ascertain whether and how breaches have occurred.
Utilize and develop tools and methodologies to improve our existing investigative and hunting technological stack.
Collaborate with IT and Security teams during investigations.
Generate and present a comprehensive and professional report of findings from investigations.

We are looking for a Threat Intelligence Researcher to join its Threat Intelligence Group and support the companys Cyber Threat Intelligence Exposure Management (CTIEM) services, Incident Response engagement and proactive services. In this position, you will identify, investigate, and monitor external cyber threats and organizational exposures across the open web, dark web, social media platforms, and other intelligence sources. You will help organizations understand and reduce their external attack surface, detect brand abuse and malicious activity targeting their assets, and develop innovative intelligence-driven monitoring capabilities leveraging automation and AI technologies.
The successful candidate should be a creative, highly motivated, and independent researcher with strong analytical skills, a deep understanding of attacker methodologies, and a passion for solving complex intelligence challenges. As part of the role, you will engage with clients, support operational teams, and contribute to the development of cutting-edge CTIEM capabilities.
Main Responsibilities:
Conduct proactive monitoring and investigations across the open web, dark web, forums, marketplaces, messaging platforms, and social media channels to identify threats targeting client organizations.
Analyze organizational exposure across external attack surfaces, including internet-facing assets, leaked information, exposed services, and emerging risks.
Investigate and identify brand abuse activities, impersonation attempts, phishing campaigns, fraudulent domains, and other malicious activities targeting clients.
Detect and assess data exposures and information leaks through a variety of intelligence sources, commercial platforms, and proprietary tools.
Utilize Attack Surface Management (ASM) platforms and related technologies to identify, prioritize, and assess external security exposures.
Develop and enhance intelligence collection, detection, and monitoring capabilities through automation and AI-driven solutions, primarily using Python.
Produce comprehensive intelligence reports, exposure assessments, and actionable recommendations for clients and internal stakeholders.
Engage directly with clients to present findings, explain risks, and support remediation efforts.
Collaborate closely with Incident Response teams to support ongoing investigations.

As a research student , you will work on one of the teams core challenges in modern LLM-based systems, such as:

Agentic RAG
Advanced retrieval strategies, hybrid search, query rewriting, context optimization, and LLM-driven reasoning pipelines
Automatic Evaluation of Agents
LLM-as-a-Judge, scoring frameworks, hallucination detection, and robust evaluation methodologies
Agents for Knowledge Creation
Building agents that autonomously generate, refine, and maintain enterprise knowledge bases
Ontology-Grounded RAG
Enhancing models with domain-specific knowledge and structured representations
Data Analysis Agents
Agents capable of analyzing complex operational, product, and support data at scale
Fine-tuning LLMs for customer domain adaptation
Automatic agent improvement from user feedback including learning from errors, evaluations, and human signals
You will work one day per week, embedded directly in the Ask-AI research group, collaborating closely with senior researchers and engineers.

We are looking for a talented Payroll Manager to join our Finance Operations team in Israel! You will be a part of the global Payroll org managing the Israel payroll process and act as the main point of contact and subject matter expert for all payroll-related matters. In addition, you will lead integration and automation projects for our payroll function. We are looking for a strong operational leader that has a strong background in payroll operations, country regulations and compliance, and process improvement.
What you'll be doing - List the main and most interesting responsibilities of the role.
Ownership of the end-to-end payroll process for Israel, ensuring accuracy, compliance, and timeliness. This includes working with a team of specialists in processing payroll transactions such as new hires, leave of absences, RSU equity, terminations, employee changes and wage garnishments.
Compile and analyze payroll data providing regular reports to key partners such as HR, tax, and accounting teams.
Lead complex payroll projects focused around system integrations and implementation
Provide leadership in addressing complex payroll issues, resolving concerns timely and providing excellent customer service stakeholders.
Ensure payroll compliance with company policy and local tax legislation for Israel.

We are looking for a highly skilled Senior Data Platform Engineer to join our Data Platform team and play a key role in designing, building, and evolving the companys data infrastructure.

This is a hands-on engineering position focused on developing scalable data platforms, high-volume ingestion pipelines, and the foundational data systems that power analytics, product applications, AI workloads, and large-scale model execution. You will help architect our data lake, build reliable ingestion capabilities at scale, and shape the core infrastructure that supports the companys future growth.

This is an exciting opportunity to work with cutting-edge technologies and have a defining impact on the architecture and evolution of our data platform.

What Youll Do
Build complex, high-volume batch and near-real-time ingestion services while helping evolve the platforms streaming capabilities.
Design and implement data solutions for all application requirements in a distributed microservices environment
Develop and optimize large-scale data pipelines for batch and streaming use cases.
Ensure data quality, compliance, and governance.
Manage and optimize Kubernetes infrastructure, utilizing KEDA to dynamically scale resources for large-scale data processing workloads.
Own the full lifecycle of our data stack using Terraform and Kubernetes, from provisioning to application-level frameworks.
Provide technical guidance for the team, drive best practices around infrastructure, CI/CD, testing, and system design.
Deep-dive into memory management and performance tuning to ensure our large-scale distributed systems are both cost-effective and lightning-fast.

We are looking for talented hackers to join our unique Adversarial Tactics Department. As a Red Team Expert ,you will work with clients to build their resiliency, i.e their capability to prevent and to sustain attacks. You will also be involved in IR engagements with companies that were attacked by adversaries, learn new TTPs and apply those in Red and Purple team engagements.
Your responsibility as a Cyber consultant is to bring the attackers perspective to engagements. You will help design, create and execute Adversary Simulation exercises, and perform attacks against client services, platforms and infrastructure. This will include, among other things, identifying vulnerabilities through simulated external and internal attacks, validating and enhancing an organizations ability to respond and recover from targeted attacks and persistent adversaries.

Aura from our company, a large-scale mobile platform, is seeking a highly skilled Senior Data Scientist to join our dynamic AI team. The ideal candidate blends a strong foundation in machine learning, statistics, and software engineering with a passion for modern, AI-accelerated development. You will be responsible for leading the research, design, and end-to-end development of cutting-edge machine learning systems at scale.
What you'll be doing
Innovate at Scale: Design and deploy advanced ML solutions by leveraging our vast, large-scale datasets.
Build & Scale: Develop online, scalable models and tools using machine learning, deep learning, NLP, and modern LLM frameworks.
End-to-End Ownership: Drive projects through their entire lifecycle-from translating complex business questions into technical strategies, all the way to robust production deployment.
Production Excellence: Champion high engineering standards by building, monitoring, and optimizing resilient production workflows.
Cross-Functional Collaboration: Work closely alongside data scientists, ML engineers, product managers, analysts, and developers to solve complex, multi-faceted problems.

our company's attack surface spans several distinct businesses: the engine and editor developers build on, a wide portfolio of cloud products and services, a large monetization business, and a growing set of AI-assisted creation tools. Code built with our company runs everywhere from a developer's workstation to billions of end-user devices, so targets range from native binaries to distributed cloud systems to AI pipelines, and findings here matter.
This role brings an attacker's mindset to that landscape: penetration testing and red team engagements built on complex attack chains. You would combine manual techniques with automation and tooling you develop as part of your craft, extending your reach across the company ecosystem.
What you'll be doing
Plan and execute objective-based penetration tests and red team engagements across our company's products, cloud services, and infrastructure
Find and validate exploitable vulnerabilities, chain them into realistic attack paths, and demonstrate impact with reproducible proofs of concept
Develop the automation and tooling that extend the team's offensive reach across the company ecosystem
Run joint exercises with the SOC and detection engineering teams to validate telemetry and improve detections
Deliver clear findings to engineering teams and surface recurring risk patterns to security leadership.

We are looking for a passionate VP of Engineering to help build our breakthrough AI product. As a VP of Engineering at Mosaic- AI, you will steer the development of our cutting-edge AI Sidekick and technologies.

In this pivotal role, your primary responsibility is to lead, guide, and mentor a team of talented software developers. You will be actively involved in planning, designing, and executing multiple software development projects while utilizing your extensive knowledge of software development to provide technical guidance and support to your team.



What are we looking for:

Strong Technical and Management Background
Expertise in Key Technologies:
Architecture savvy- A must
Proficiency in Python, with a solid understanding of software development best practices in this language- an advantage
Knowledge and hands-on experience with JavaScript, Typescript, and React/Angular- An advantage
Knowledge in Docker, micro-service architecture, FastAPI, Express, and Terraform- An advantage

As the QA Team Lead, you will play a pivotal role in ensuring the quality and reliability of our groundbreaking maritime technology. You'll lead a talented QA team, define testing strategies, and implement automation frameworks to uphold the highest standards across our products. Working closely with software and product teams, you will take ownership of the testing lifecycle, drive quality initiatives, and ensure seamless delivery in a fast-paced, innovative environment.

What You'll Do
Lead QA Strategy & Execution: Design and implement comprehensive testing procedures, quality metrics, and test strategies to maintain product excellence.
Automation Leadership: Architect and lead the development of test automation frameworks and tools to streamline testing processes.
Team Management: Mentor and manage a skilled QA team, fostering collaboration with software and product teams to deliver high-quality solutions.
Quality Ownership: Take full ownership of product quality, proactively identifying, tracking, and resolving quality issues and escalations.
Process Optimization: Establish and enforce QA standards and best practices, ensuring thorough coverage of front-end, back-end, and integrated system testing.
Communication & Reporting: Monitor and report on quality metrics, ensuring clear communication of testing progress, risks, and outcomes.

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.