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we are looking for a Senior SW Engineer Job Description
Join a multi-disciplinary team of experts operating at the core of Speedatas software stack
Lead the design and implementation of highly efficient algorithms that maximize our performance
Develop time-critical Python components that translate database operations to performant, hardware-optimized C++
Co-design the next generation of our architecture alongside Hardware & Software engineering leads
Research state-of-the-art algorithms and techniques for data analytics and hardware acceleration
Fly high with the SW, and dive in for a byte of the HW.

As our Compiler Engineer, you will be part of the team developing Cairo (and potentially additional, higher-level, languages) and its tooling, and mainly its strong, efficient compiler.

looking for an experienced Product Manager to join our team to lead Compute product line.

In this role you will be in charge of Product lifecycle management from concept to launch, and get a chance to build out-of-this-world platforms, data centers infrastructure that employ best-in-class communications systems, earth observations solutions, artificial intelligence engines and super computing capabilities in space.





Roles & Responsibilities



End-to-end responsibility for the product vision, roadmap, performance, and product delivery.
Gather and synthesize requirements to define a compelling product
Support product development teams, as well as monitor product development progress, manage budget, forecast, and metrics.
Support the business development and marketing teams in product discussions
Maintain the roadmap, ensuring priorities are aligned with company goals.
Actively help improving development processes across different departments
Generate and maintain accurate and up-to-date documentation for both internal and external stakeholders.

we are looking for a DevOps Engineer.
Responsibilities:
Collaborate closely with development teams to streamline processes.
Design, build and operate Kubernetes infrastructure and orchestration in Production.
Design, implement, and maintain automation workflows, scripts, and CI/CD pipelines.
Ensure infrastructure and application reliability, observability, performance, and security.

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.

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 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.

Required Software Engineer - Finance Solutions
Team Overview
The Finance Solutions team is a growing team that builds and owns products supporting the company's financial processes for internal users, customers (advertisers), and partners (publishers). Our core mission is to make finance operations simpler, more efficient, accurate, and trustworthy by continuously identifying and resolving pain points through automation, system integrations, and the use of AI.
What will you do?
As a Software Engineer on the Finance Solutions team, you will take full ownership of a project lifecycle, from analyzing requirements, designing a solution, building, deploying and providing long-term support. Your contributions will directly impact the daily operations of dozens of internal users and thousands of external customers and partners. Success in this role requires a strong sense of ownership, commitment to delivering results, creativity in problem-solving, collaboration, and agility.
Your mission will be to:
Design, build, and ship finance-related features across our complex and diverse ecosystem.
This includes backend/data-oriented features, UI development, and building data pipelines, reports, and dashboards.
Develop solutions that involve integrating with various CRM and ERP systems.
Work closely with internal users to gather feedback, increase solution adoption, and provide long-term operational support.
Champion software quality through robust testing and mentor junior engineers by sharing best practices and code review.
Collaborate effectively with a diverse, international team split between France and Israel.
Operate within an Agile environment that promotes sustainable processes, open communication, and regular virtual socials to maintain team connection.

Required Senior Software Engineer - Finance Solutions
What will you do?
As a Senior Software Engineer on the Finance Solutions team, you will take full ownership of a project lifecycle, from analyzing requirements, designing a solution, building, deploying and providing long-term support. Your contributions will directly impact the daily operations of dozens of internal users and thousands of external customers and partners. Success in this role requires a strong sense of ownership, commitment to delivering results, creativity in problem-solving, collaboration, and agility.
We are looking for a motivated engineer who will be interested and ready to step into a team lead role in the near future based on performance and departmental growth.
Your mission will be to:
Design, build, and ship finance-related features across our complex and diverse ecosystem.
This includes backend/data-oriented features, UI development, and building data pipelines, reports, and dashboards.
Develop solutions that involve integrating with various CRM and ERP systems.
Work closely with internal users to gather feedback, increase solution adoption, and provide long-term operational support.
Champion software quality through robust testing and mentor junior engineers by sharing best practices and code review.
Collaborate effectively with a diverse, international team split between France and Israel.
Operate within an Agile environment that promotes sustainable processes, open communication, and regular virtual socials to maintain team connection.

Required Senior Full Stack Engineer
What will you do?
About the Performance Campaign Team:
We are a team of engineers focusing on making the Performance Campaigns for our customers efficient, easy to use, and powerful. Our mission is to:
Enhance operational efficiency for our customers and our internal operations team using Teads Ad Manager for Performance (mid & low funnel) campaigns
Ensuring the scale and the robustness of the Teads Performance pipeline to handle attribution from publisher to advertiser websites/apps
Build innovative solutions to help our customers achieve new goals and/or better KPIs (CTV Performance, Dynamic Product Ads, DCO, etc.)
Develop robust and safe code that is directly embedded in the advertiser's website, plus the additional tooling to help this integration
Enhance our capacity by building new features or bridging features within our new global Teads platform.

Join our development team in Ra'anana (hybrid).
We build complex SAAS solutions for cyber, medical, and more, creating applications from scratch.
:Your Day
Handle the entire development cycle, from planning to delivery.
Solve problems and collaborate with our customers.

Were looking for a data-savvy Product Analyst to help shape product decisions, drive experimentation, and support our mission to power discovery through data.
What will you do?
Evaluate the success of new features and product rollouts, using data to guide decisions
Design and analyze A/B tests and experiments to measure product improvements
Collaborate with Product, Data Science, Engineering to investigate product behavior, performance and marketplace trends.
Dig into complex datasets to identify opportunities, bugs, or trends that inform roadmap priorities
Communicate actionable insights to cross-functional stakeholders that impact decisions and create measurable value to company results.

We are seeking a Data Product Manager to join Teads Data Department within the Data Product Team. In this role, you will be at the core of our mission to transform data into a strategic asset, ensuring that Teads business teams can make smarter, faster, and more impactful decisions.
As a Data Product Manager, you will be responsible for defining and delivering the vision, strategy, and roadmap of data products that serve internal stakeholders across Sales, Operations, Finance, and Marketing. You will focus on Looker as the central BI platform, ensuring reliable, scalable, and user-friendly data products that democratize insights and maximize business value.
This role requires a strong mix of product management expertise, BI platform experience (Looker is mandatory), and cross-functional collaboration skills. You will partner closely with data engineers, BI developers, and business teams to translate requirements into actionable data solutions, while upholding governance, quality, and scalability.
If you are passionate about creating data products that directly impact the efficiency and success of global teams in a fast-paced, data-driven environment, this opportunity is for you.
What will you do?
As a Data Product Manager, you will shape, deliver, and scale data-driven products that empower Teads business functions to operate more efficiently and make smarter decisions. You will partner with engineers, analysts, and stakeholders across departments to translate business needs into data products that drive measurable impact.
Your responsibilities will include:
Roadmap & Strategy
Define and prioritize the data product roadmap in alignment with Teads global objectives.
Identify key data opportunities, define success metrics, and ensure products are aligned with business impact.
Ensure data governance, quality, and scalability in all delivered solutions.
Product Design & Delivery
Translate business requirements into clear, actionable data product specifications.
Ensure stakeholders are kept informed on milestones, changes, and impacts.
Product Roll-out & Continuous Improvements
Contribute to a culture of data democratization, enabling teams to self-serve insights.
Oversee the roll-out of new Looker products, ensuring adoption and training across internal teams.
Monitor product usage and performance, gather feedback, and iterate to drive continuous improvement.

Required Senior Machine Learning Platform Engineer
What will you do?
As a Senior ML Platform Engineer, you will design and build core backend systems and ML infrastructure that power research, training, and online inference at scale.
You will work at the intersection of backend engineering, data engineering, and machine learning, partnering closely with data scientists to transform research needs into production-grade platform capabilities with real business impact.
Key Responsibilities
Design, build, and own backend systems that support ML workflows, data processing, and core platform services
Architect and optimize systems for performance, scalability, reliability, and cost efficiency in production ML environments
Collaborate closely with data scientists to implement, iterate, and evolve ML platform capabilities
Build and maintain large-scale data ingestion, processing, and training pipelines
Ensure systems are production-ready through testing, observability, monitoring, and performance optimization
Investigate and resolve infrastructure and performance issues affecting critical ML and business KPIs.