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As a Senior Backend Engineer, Voice AI, you will build the technology powering our companys Voice AI agent - the seamless, next-generation conversational interface for our customers. This is a rare opportunity to own cutting-edge, mission-critical AI systems that directly shape the daily experiences of hundreds of thousands of riders. You will have end-to-end backend ownership, working with the most advanced LLMs in the market and a team that values innovation and high-quality craft. We are looking for a high-agency engineer who thrives in unknown territories, continuously pushes the boundaries of what AI agents can do, and is passionate about mentoring others and driving our technical vision forward.
About the Role:
Voice AI Ownership: Lead the end-to-end development of our companys customer-facing Voice AI agent, creating seamless, natural, and highly responsive conversational experiences.
Full-Stack Architecture with BE Focus: Architect and ship features across our stack, leveraging your deep professional backend expertise to build the robust, scalable services that power real-time AI interactions.
Cutting-Edge Exploration: Dive fearlessly into unknown territories. You will continuously evaluate, integrate, and deploy the most up-to-date LLMs and AI providers in the rapidly evolving market.
Product Initiative: Drive the product forward. You dont just execute tasks; you proactively propose initiatives, suggest new tools, and conceptualize innovative ways to make our AI agent smarter and more intuitive.
Team Mentorship & Growth: Elevate the engineers around you. Share your knowledge, lead by example, and actively help fellow team members grow professionally in both standard software engineering and emerging AI paradigms.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior DevOps Engineer at our company, youll join our R&D center in TLV. Youll be part of a team of developers and devops engineers, directly contributing to our product by using cutting-edge technologies. Youll take a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.
The Platform Group is a cross-functional group dedicated to building and maintaining the robust foundation on which our company operates. This team is responsible for designing, implementing, and managing cloud infrastructure, Kubernetes clusters, CI/CD systems, and tools that empower our development and production environments.
With a focus on enhancing developer experience, operational efficiency, and reliability, the team drives initiatives that:
Design and implement scalable and secure cloud infrastructure.
Develop and maintain Kubernetes clusters and related tools, ensuring high availability and performance.
Manage edge gateways, WAF solutions, and other critical infrastructure components.
Define and enforce CI/CD standards to streamline development and delivery workflows
Build tools and automation to enhance productivity across engineering teams.
Ensure the reliability, security, and scalability of production infrastructure.
What Youll Do:
Define infrastructure standards for dev teams
Design, implement and develop tools for controlling infrastructure of micro services
Build CI/CD automation and templates with GitLab
Build, maintain and operate AWS and Kubernetes infrastructure
Develop and maintain an in-depth understanding of the applications and architecture at our company
Work in contact with other teams across the company to ensure smooth and documented changes to all environments
Identify and resolve problems in mission-critical services, automating remediation procedures to prevent recurrences
Bring ideas to the table, take ownership over their project timelines and deliverables and help us scale.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Full Stack Engineer, you will build the technology powering our companys Operation Center - the real-time heartbeat of our global service. This is a rare opportunity to own mission-critical systems that shape the daily lives of hundreds of thousands of riders. You will have full-stack ownership, working with a sophisticated stack and a team that values high-quality craft. We are looking for a high-agency engineer who leverages modern AI to outpace traditional workflows and is ready to grow into a formal leadership role.
About the Role:
End-to-End Ownership: Lead the development of our companys real-time operation center, managing complex routing, driver dispatching, and mass-scale user communication.
Full-Stack Architecture: Architect and ship features across our stack (React/TypeScript/Redux and Python microservices) with an emphasis on performance and scalability.
AI-Augmented Development: Integrate AI-driven tools (Copilot, Cursor, LLM-based testing/refactoring) into your daily workflow to increase velocity and maintain elite code quality.
Future Leadership: Mentor junior/mid-level engineers, drive technical roadmaps, and set the standard for engineering excellence within the team.
Strategic Collaboration: Work directly with Product and Design to translate ambiguous operational challenges into elegant, scalable technical solutions.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Platform Engineer at our company, youll join our R&D center in TLV. Youll be part of a team of developers and devops engineers, directly contributing to our product by using cutting-edge technologies. Youll take a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.
The Platform Group is a cross-functional group dedicated to building and maintaining the robust foundation on which our company operates. This team is responsible for designing, implementing, and managing cloud infrastructure, Kubernetes clusters, CI/CD systems, and tools that empower our development and production environments.
With a focus on enhancing developer experience, operational efficiency, and reliability, the team drives initiatives that:
Design and implement scalable and secure cloud infrastructure.
Develop and maintain Kubernetes clusters and related tools, ensuring high availability and performance.
Manage edge gateways, WAF solutions, and other critical infrastructure components.
Define and enforce CI/CD standards to streamline development and delivery workflows
Build tools and automation to enhance productivity across engineering teams.
Ensure the reliability, security, and scalability of production infrastructure.
What Youll Do:
Define infrastructure standards for dev teams
Design, implement and develop tools for controlling infrastructure of micro services
Build CI/CD automation and templates with GitLab
Build, maintain and operate AWS and Kubernetes infrastructure
Develop and maintain an in-depth understanding of the applications and architecture at our company
Work in contact with other teams across the company to ensure smooth and documented changes to all environments
Identify and resolve problems in mission-critical services, automating remediation procedures to prevent recurrences
Bring ideas to the table, take ownership over their project timelines and deliverables and help us scale.

we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

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 Software & Data Engineer at our company, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how our company understands and improves its service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across our company's engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how our company operates
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena.

We're hiring our Head of Research to own it.

We're not asking you to start from a blank page. We have an active research roadmap covering eight thematic areas - from self-improving evaluation infrastructure to agentic RAG to multimodality. We have ML/research talent on the team already. What we need is a leader who can take it the rest of the way.

Requirements
What you'll own:

Own the AI/ML core of the Mosaic platform - retrieval, agents, model routing, evals, and the research that improves all of them.
Set the research agenda. Decide what we investigate, what we measure, and what we ship.
Lead the research team directly (with hiring authority) and the AI analyst function indirectly.
Partner closely with engineering, product, and the CEO to turn research into production capability.
Define and own the quality bar for our AI outputs.

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.