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we are looking for a technically sharp, customer-focused Solutions Architect to help drive adoption of our blazing-fast real-time data platform. In this high-impact role, youll partner closely with our sales team to win business by translating complex technical capabilities into clear, compelling value for our customers.
Based in Israel, youll serve as the technical expert and strategic advisor throughout the sales process - from discovery to demo to deployment. Whether its architecting a high-scale solution, answering in-depth questions, or running a proof of concept, your expertise will be key to helping customers realize the power .
This is a pre-sales position.
Responsibilities:
Preparing and developing technical presentations to explain our company's products or services to customers.
Discussing equipment needs and system requirements with customers and engineers.
Collaborating with sales teams to understand customer requirements and provide sales support.
Researching, developing, and identifying modifying products to meet customers' technical requirements and needs.
Soliciting and logging client feedback and evaluating the data to create new sales and marketing strategies to target customers.
Identifying areas for improvement and communicating these issues as well as possible solutions to upper management, including product managers.
Setting and achieving sales goals and quotas.
Training other members of the sales team on the technical aspects of the company's products and services.

Required Machine Learning Scientist II - GenAI Evaluation
20717
Role Description:
As a Machine Learning Scientist, your work will focus on the evaluation and optimization of generative AI systems. You will develop and fine-tune Judge LLMs to assess model outputs across a variety of tasks, design robust evaluation frameworks for agentic workflows, and build scalable pipelines for synthetic data generation. The team also plays a critical role in multilingual evaluation, enabling GenAI applications to support market expansion across all supported languages.
Key Job Responsibilities and Duties:
Develop and apply state-of-the-art techniques for evaluating generative AI systems, with a focus on agent workflows, multilingual output, and task-specific Judge LLMs.
Design and implement scalable evaluation pipelines, including synthetic data generation and benchmarking for model quality, relevance, and consistency..
Optimize and maintain Judge LLMs to assess outputs across dialog systems, Q&A, and trip planning use cases.
Conduct in-depth data analysis to define and track evaluation metrics, validate label quality, and explore performance across different languages and user scenarios.
Ensure the reliability, efficiency, and scalability of evaluation tools and frameworks in both offline and online environments.
Collaborate closely with ML engineers to integrate evaluation components into production pipelines, supporting continuous improvement of GenAI applications.
Work cross-functionally with product, research, and analytics teams to align evaluation strategies with business goals and user impact.

We are looking for an experienced Senior Product Manager to join the Product Management team and focus on expanding our AI platform to develop new use cases and applications for automakers, smart mobility vendors, insurance companies and additional new markets.
As a Product Manager you will join a dynamic and fast-paced environment, reporting directly to our VP Product and work closely with a team of passionate employees.
This role is full-time and is based in Herzliya, Israel, in a hybrid model.
Responsibilities
Gain a deep understanding of customer and market needs
Translate product strategy into product roadmap, detailed requirements and prototypes
Scope and prioritize activities based on business and customer impact
Work closely with the research, data analytics, data engineering, and data science departments to develop core detection capabilities
Work closely with engineering teams to deliver with quick time-to-market and optimal resources
Drive product launches including working with Sales, CSMs, Marketing, R&D with prioritized features and corresponding justification
Drive market and competitive analysis for their product
Support developing the core positioning and messaging of the product
Lead sales enablement activities on product positioning, messaging and new releases and developing sales tools and collateral
Create a plan and engage with potential and existing customers to gather ongoing feedback and requirements.

We are looking for a tech-driven, creative, and hands-on product marketing professional to join the Marketing team. This role will report to the VP of Marketing and will be the leading stakeholder of all our strategic marketing programs, sales enablement, messaging and positioning, as well as collaboration on marketing activities with tech partners.
You will work closely with multiple teams within (product, sales, CSM, delivery, alliances, etc,), as well as partners, customers and prospects, to deepen our thought leadership and expand brand awareness by creating effective sales assets, webinars, partner-driven programs, press releases, targeted outreach and email programs, and media opportunities.
The ideal candidate will be an excellent English communicator, creative with brilliant technological skills.
This role is full-time and is Herzliya, Israel based.
Responsibilities
Become a subject matter expert in data management focusing on the Automotive and Smart Mobility ecosystem; develop unique expertise in the cybersecurity challenges, attack vectors, competitive landscape and well as additional data-driven use cases.
Support our global sales teams in delivering the most effective messaging and positioning, based on deep market and go-to-market expertise.
Initiate and execute (end-to-end) strategic marketing programs, primarily thought leadership, tech-oriented webinars and partners-related opportunities (including related collateral and nurturing programs).
Join our evangelist team - represent us in webinars, interviews and speaking engagements, as well as moderate our own webinars.
Manage our media relations, working closely with PR partners, our tech alliances, and internal evangelists to boost brand exposure.
Craft strategic content to support our marketing programs, such as tech-focused videos, in depth interviews, podcasts, etc.

We are looking for an experienced Marketing Operations Manager to join our Marketing team and build strategies to fuel our qualified lead pipelines, engagement, and brand awareness for our solutions.
The ideal candidate will have a deep understanding and hands-on experience of the digital marketing and automation landscape and a proven track record in scaling startups. We are big Hubspot fans!
In this role you will be tasked with building strategies for email marketing and nurturing campaigns, build complex workflows for lead funnels and scoring, intent scoring, marketing programs tracking, advanced analytics and more. The goal is to ensure our marketing processes are visible, optimized and effective, and provide the best possible support for our global sales teams.
This role is full-time and is based in Herzliya, Israel.
Responsibilities
Develop and implement a detailed marketing automation strategy to increase qualified leads, as well as build effective scoring and intent indications across various marketing programs.
Drive the development and execution of targeted account-based marketing strategies, primarily via email marketing, encompassing account list development, targeted marketing tactics, and effective measurement of results.
Manage our company's website, including managing the website developers and designers, and continuously optimize to ensure optimal visibility and engagement.
Drive success by developing and creating advanced analytics capabilities and to monitor campaign performance, effectiveness, online engagement, awareness, and more.
Work closely with our BDR team and sales executives worldwide to collaborate on marketing and campaigns, analytics and reporting and ensure we meet our goals.
Collaborate with our internal security teams to ensure all our digital assets and content are secure.
Build a strong foundation across the entire team and foster a culture of collaboration, creativity, and continuous improvement.

We are looking for an experienced Machine Learning Engineer to build and scale production-grade ML solutions, primarily on large-scale tabular automotive data for quality and cybersecurity products. Youll help define the engineering standards that enable the Data Science team to deliver at scale, with opportunities to own selected ML features end-to-end.
Youll work with massive (often live-streaming) automotive datasets and real-world constraints around latency, CPU, memory, and I/O. This is a highly collaborative role, and youll partner closely with data science and data engineering teams. Youll be driving technical alignment through clear communication and mentoring others via design and code reviews.
This role is full-time and based in Herzliya, Israel.
Responsibilities
Act as the DS engineering axis: drive designs with focus on performance (I/O, CPU, memory, latency, cost).
Lead heavy ML engineering efforts when needed (optimization, scaling, reliability), while collaborating with other team members and supporting them in their ML-related projects.
Own selected ML features and projects end-to-end, including DS work (EDA, features, modeling, evaluation) plus production delivery, monitoring and iteration.
Build production tabular - ML components: training, batch/near-real-time scoring, inference services, and shared libraries.
Set standards and tooling for profiling and preventing performance regressions.
Partner with the data engineers on data / ML contracts (schemas, SLAs, formats/partitioning) between pipelines and ML components.
Raise the bar via mentoring, documentation, and a strong code/design review culture, in the Data Science team.

We are looking for a Quant Algorithms Developer to join our research team and play a pivotal role in contributing to the company's ongoing success
What you will do:
End-to-end development and deployment of high-frequency trading algorithms consisting of:
Creative thinking, performing research and literature review
Conceiving innovative and novel ideas in the fields of machine learning, statistics, and signal processing
Development and application of trading algos in a highly competitive real-time environment
Collaboration with other researchers/developers

Required Senior Data Engineer
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. Our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data scientists, data architects, and data analysts, to provide solutions using a use case-based approach that drives the construction of technical data flows.

We are looking for an algorithm researcher to join our team and play a pivotal role in contributing to the company's on-going success.
What you will do:
End to end research, development and deployment of high frequency trading algorithms consisting of:
Creative thinking, performing research and literature review
Explore and design innovative and novel ideas in the fields of machine learning, statistics and signal processing
Development and application of trading algos in a highly competitive real time environment
Enjoy a very short development cycle from concept to live trading
Collaboration with other researchers / developers

We are looking for a talented, hands-on and experienced DevOps engineer to join the Engineering team and focus on supporting the companys core technology and engineering systems.
As a DevOps Engineer you will focus on operations in order to ensure scalability, service reliability, capacity, and performance.
You will design and develop for our innovative, highly scalable, and high-performance automotive security solution.
This role is full-time and is Israel based.
Responsibilities
Implement a high scale Software as a Service (SaaS) solution.
Implement cloud infrastructure in AWS/ Azure/ GCP.
Implement the company's engineering systems.
Rollout processes for new functionality introduced to the cloud infrastructure by the team.

we are looking for a Trading Operations Specialist.
As a Trading Controller, youll play a key role in overseeing and optimizing trading activities. This includes monitoring real-time trading processes and ensuring risk and position control within the trading environment.
Responsibilities:
Monitor capital markets and trading activity in real-time
Responsible for Position and Risk control
Generate accurate and timely financial reports
Work as part of the Operations team in the trading room

Required Data Engineer
Description
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data architects, data analysts, and data scientists, to provide solutions using a use case-based approach that drives the construction of technical data flows.
End-to-end ownership mindset with a proactive, production-first approach.

We are looking for a talented Business Development Representative (BDR) to join our team and help drive pipeline growth across our core solutions.
You will operate in the B2B/B2E automotive and smart mobility market, one of the fastest-growing segments in enterprise technology. The role involves prospecting into leading global automakers, tier-1 suppliers, IoT platform providers, and smart mobility companies. You will engage in complex enterprise sales cycles and work directly with senior stakeholders across cybersecurity, IT, quality, and AI organizations. You will also play a hands-on role in refining the outbound playbooks and processes that support scalable growth.
This role is full-time and is based in Herzliya, Israel.
The role follows a Monday-Friday work week with a hybrid schedule, three days in the office and two days remote. Flexibility to work North America (East Coast) hours is expected to support global prospects and customers as needed.
Responsibilities
Conduct outbound prospecting via multi touch point sequencing, including email, phone, LinkedIn, and other channels to generate qualified meetings for Sales executives
Engage and qualify inbound leads from marketing campaigns, ensuring timely follow-up and conversion into opportunities
Research and identify target accounts, key decision makers, and deep industry trends, spanning automotive OEMs, IoT, smart mobility companies, and tier-1 suppliers
Partner closely with Marketing, Sales executives, partners and alliances team, as well as Product and Customer Success teams to refine outreach strategies and improve conversion rates
Boost visibility and maintain accurate, up-to-date prospect interactions in Salesforce
Test and optimize messaging, outreach cadences, and engagement strategies based on performance data
Provide feedback on lead quality and collaborate with Marketing on campaign alignment
Be GenAI-savvy and willing to test and expand, in a controlled and responsible way, what can be achieved with AI tools.

Were looking for an exceptional, driven, and technically visionary Staff Engineer to help shape the future of our platform and accelerate our mission to simplify taxes for everyone.
Youll play a central role in designing and building scalable systems and tools that enable our teams to deliver exceptional user experiences with speed and confidence.
If you're passionate about technical leadership, enjoy solving complex architectural challenges, and want to make a meaningful impact on millions of users, wed love to have you join us.
Responsibilities:
Critical, cross-functional engineering initiatives from design to development and deployment, ensuring quality and scalability.
Participate in technical decision-making and knowledge sharing across multiple teams.
Collaborate with Product, UX, and other stakeholders to deliver seamless and data-driven experiences.
Evaluate and introduce new tools, technologies, and practices that raise the bar for engineering excellence.
Guide by example - service ownership, observability, and operational best practices across the engineering organization.
Promote a culture of high standards, clean code, testing, and continuous improvement.

we are looking for a brilliant, curious and creative Senior Full-Stack Engineer with a passion for data thats ready to take on a huge opportunity to solve tax, and save people time and money. If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey.
Key Responsibilities:
Lead and own full-cycle (from idea to production) projects that are directly used by and impact millions of people
Work closely with the product & UX to define product requirements and execute the development plans
Design system architectures, select/ evaluate tools
Build cloud-native microservices
Mentor, and grow the team, our practices, and our technology stack