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Required Machine Learning Platform Engineer
Team Overview
The ML Platform team builds the core infrastructure, services, and systems that enable machine learning at scale across the company.
We own the full lifecycle of ML workloads - from research and experimentation to reliable, large-scale production deployment.
The team focuses on:
Building scalable backend and infrastructure solutions for end-to-end ML workflows
Developing core ML platform components, including data processing, training, evaluation, and deployment
Empowering data scientists and product teams with robust, observable, and high-performance ML infrastructure
Solving complex challenges around scale, latency, throughput, reliability, and cost efficiency
Continuously evolving the ML platform by adopting new technologies and improving system performance and stability
What will you do?
As a 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.

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.

We are at a pivotal stage in building and scaling our data domain, and we are looking for a Data Engineer to join our growing BI team. This role goes beyond building pipelines. You will help shape our data platform as a shared product - supporting analytics, reporting, and decision-making across key company data domains such as Product, Sales, HR, and others. Your work will directly influence how stakeholders interact with data today and how the platform evolves in the years ahead.
What Youll Be Doing
Architect & Own: Lead the design and development of scalable data warehouse and BI solutions. You will make early-stage architectural decisions and own their long-term impact.
Infrastructure as a Product: Build core data infrastructure and developer experiences that others rely on, ensuring high availability and system reliability.
End-to-End ELT/ETL: Solve complex integration problems by sourcing data from structured and unstructured sources using Rivery, Python, and optimal ETL patterns.
Data Quality & Governance: Implement frameworks for schema evolution, anomaly detection, and data freshness. You will determine security models based on privacy requirements and evolve governance processes.
Strategic Collaboration: Partner with Engineers, Product Managers, and Data Analysts to conceptualize data needs and represent key insights in a meaningful way.
Optimization: Assist in owning production processes, optimizing complex code through advanced algorithmic concepts to manage operational cost-benefit tradeoffs.

you will be part of our company rem department. our road experience management (rem) is an end-to-end mapping and localization engine. this process leverages advanced algorithms, massive parallelization, and Big Data technologies, creating a highly complex system that demands both a deep understanding of the map creation workflow and strong technical expertise. were looking for a senior data engineer to lead the architecture and development of large-scale, production-grade data pipelines supporting ml inference systems. what will your job look like:
architect and own end-to-end data pipelines for large-scale model inference
design high-throughput, scalable data streaming to the cloud
integrate data conversion into data collection and inference pipelines
drive performance, scalability, and reliability across distributed systems
partner with ml, platform, and infrastructure teams

we are a data driven company, the Data Engineering team is the bridge between raw data and impactful business insights. You will lead a team of talented engineers to architect, build, and maintain the data infrastructure of our company.
Your mission is to ensure our data is reliable, secure, and ready for everything from standard BI reporting to cutting-edge Generative AI applications. Youll act as a key partner to our business teams, translating high-level needs into technical reality and driving a massive impact on our bottom line. In addition youll spend time mentoring your team as well as tackling high-level architecture decisions, pushing technical strategy and contributing to the codebase.
What am I going to do?
Lead a team that designs and scales real-time data pipelines processing millions of events hourly.
Utilize cutting-edge technologies to build scalable and high performant data infrastructure.
Influence and drive architecture and data strategy decisions.
Work closely with other stakeholders such as Data Developers, Analysts, Data Science and R&D.
Hands-on development of data infrastructure tools (~50% of the time).
Lead and mentor the team talent.
Finops and governance of data infrastructure domains.

We are seeking a Global Talent Acquisition Director to architect and lead our global hiring strategy. This is not just about filling open requisitions; it is about building a world-class talent engine that fuels our hyper-growth!
In this strategic role, you will elevate the TA function, cementing its role as a strategic business partner. You will partner with the Executive Leadership Team to define who we are hiring, where we are hiring them, and how we assess top-tier talent, leveraging data, AI, and employer branding to position us as a top-tier destination for global talent.
Key Responsibilities:
Serve as a trusted advisor to the C-Suite and VP levels, translating business objectives into comprehensive talent strategies.
Lead global workforce planning, helping leadership forecast hiring needs across R&D, Sales, Marketing, and Ops in multiple geographies
Partner with executives to anticipate talent gaps, shape organizational structures, and build robust hiring pipelines for critical roles.
Lead, mentor, and scale a high-performing global Talent Acquisition team, fostering a culture of operational excellence and continuous learning.
Design and implement a scalable recruitment infrastructure (processes, tech stack, and workflows) that supports rapid scaling without compromising quality.
Manage the global TA budget, vendor relationships, and external search partners to ensure ROI.
Drive our data-centric recruiting culture. Oversee and optimize key metrics (e.g., Quality of Hire, Time to Fill, Pipeline Velocity, DEI stats) to identify bottlenecks and optimize performance.
Leverage technology, AI, and analytics to optimize sourcing, screening, and selection processes.
Collaborate with the Marketing team to strengthen our Employer Value Proposition (EVP) and position the company as an employer of choice in competitive global markets.
Champion a best-in-class candidate experience, ensuring transparency, engagement, and consistency throughout the entire hiring journey.
Stay ahead of industry trends and introduce innovative recruiting approaches to support our continued global expansion.

Required DevOps Engineer
Tel Aviv | R&D
As part of the role you will have the opportunity to:
Be a member of a strong team responsible for all DevOps aspects in the company: Cloud infrastructure, CI/CD, Monitoring, DataOps, SecOps and cost management
Architect, automate and manage cloud infrastructure (Azure & AWS)
Implement SecOps best practices in all infrastructure and processes
Integrate visibility and alerting capabilities into infrastructure and processes
Improve and automate CI/CD pipelines.

we are looking for a Senior DevOps Engineer.
As a Senior DevOps Engineer, youll design and maintain the secure, scalable cloud infrastructure powering our AI healthcare solutions.
Youll build automation, CI/CD pipelines, and monitoring systems that ensure reliability and compliance in a fast-paced environment. Your work will directly enable our teams to innovate faster while keeping patient data safe and systems resilient.
What Youll Do:
Architect and manage secure, scalable cloud infrastructure (AWS)
Maintain CI/CD pipelines to streamline deployment and delivery
Automate provisioning, monitoring, and incident response workflows
Troubleshoot and resolve production issues, ensuring uptime and performance
Develop tools that accelerate development and improve operations
Collaborate with teams to uphold security, compliance, and reliability standards

We are looking for an exceptional and passionate Product Manager to join our cyber intelligence team in Israel to lead the systems platform and security strategy

You will:
Fully owns the product management domain, focusing on the systems platform and security aspects.
Introduce new offerings, ideas, and research activities by working closely with presales and system architects.
Engage strategic partnerships and establish relations with new partners.
Lead the product lifecycle from defining the roadmap, prioritizing the backlog, supervising the development, and taking an active role in value-based pricing.
Engage directly with customers and business partners to pitch the product, negotiate technical requirements and take an active role in the sales cycle.

Were looking for an experienced Engineering Group Manager to join our growing R&D organization in Tel Aviv. In this role, youll lead and scale a group of teams responsible for the heart of AI platform, including our AI team, Chat AI product team, and Incubation team. A major focus of this role is to lead and grow the Data Science team, including machine learning research, ML model development, and MLOps practices to ensure production-ready, scalable, and reliable AI solutions.

You will play a key role in shaping and executing our technical vision, driving the evolution of our conversational AI and voice solutions, and building a strong, high-performing engineering organization. This role reports to the CPTO.

Responsibilities
Lead, scale, and mentor an engineering group of 15-20 engineers, delivering complex, AI-driven products at scale.
Manage two Team Leads and provide direct leadership to specialized teams, including the AI team and Data Science team, working closely with a dedicated AI Architect.
Partner closely with the CTO to translate technical vision into execution and ensure strong alignment across teams.
Collaborate deeply with Product Managers to define and execute the roadmap for core AI engine and chat experiences.
Oversee the development and deployment of machine learning models, including model design, evaluation, optimization, and production integration.
Drive continuous improvement of R&D processes, structure, and engineering culture to support rapid growth and high-throughput environments.
Foster technical excellence, mentor future leaders, and build a strong leadership pipeline within .
Own cross-functional collaboration, ensuring strong synchronization between your group and other departments across the company.

We are looking for a Senior Backend Developer to join the hunt.
A bit about the position:
Major role in architecting and developing our Dev-Native Observability Platform.
Taking part in a top-notch technology team
Affect the product roadmap by providing your feedback as a potential end user of the platform

A Technical Account Manager is a trusted advisor and cloud operations architect for our Enterprise Support customers. As a trusted advisor youll have a direct impact in helping our customers gain the most value from cloud technology. Youll craft and execute strategies to drive our customers adoption and use of our services. This includes a range of products including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT and many more.
Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. Youll provide advice on architecture, support strategy, project and launch planning as well as ongoing operational issues.

Key job responsibilities:
* Youll advise on solutions, provide technical guidance and advocate for the customer.
* Ensure our environments remain operationally healthy whilst reducing cost and complexity.
* Develop trusting relationships with customers, understanding their business needs and technical challenges.
* Using your technical acumen and customer obsession, youll drive technical discussions regarding incidents, trade-offs, and risk management.
* Consult with a range of partners from developers through to C-suite executives.
* Collaborate with our Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers.
* With a bias for action, you'll proactively find opportunities for customers to gain additional value from us.
* Provide detailed reviews of service events, monthly & quarterly metrics, detailed pre-launch planning.
* Solve a variety of problems across different customers as they migrate their workloads to the cloud.
* Uplift customer capabilities by running workshops, brown bag sessions, etc.

A Technical Account Manager is a trusted advisor and cloud operations architect for our Enterprise Support customers. As a trusted advisor youll have a direct impact in helping our customers gain the most value from cloud technology. Youll craft and execute strategies to drive our customers adoption and use of our services. This includes a range of products including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT and many more.
Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. Youll provide advice on architecture, support strategy, project and launch planning as well as ongoing operational issues.

Key job responsibilities:
* Youll advise on solutions, provide technical guidance and advocate for the customer.
* Ensure our environments remain operationally healthy whilst reducing cost and complexity.
* Develop trusting relationships with customers, understanding their business needs and technical challenges.
* Using your technical acumen and customer obsession, youll drive technical discussions regarding incidents, trade-offs, and risk management.
* Consult with a range of partners from developers through to C-suite executives.
* Collaborate with our Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers.
* With a bias for action, you'll proactively find opportunities for customers to gain additional value from us.
* Provide detailed reviews of service events, monthly & quarterly metrics, detailed pre-launch planning.
* Solve a variety of problems across different customers as they migrate their workloads to the cloud
* Uplift customer capabilities by running workshops, brown bag sessions, etc.

We are rapidly growing, and we seek a GRC Analyst to join our InfoSec team.
In this position you will report to the CISO and will be located in our Israeli office.
Trust is the cornerstone of our fintech SaaS environment, and we are looking for a GRC Analyst to uphold this principle. This role will serve as the primary liaison for both internal risk management initiatives and external inquiries, and for ensuring our internal controls adhere to international standards and frameworks.
Responsibilities:
Policy & Framework Management: Assist in developing and maintaining information security policies and procedures in alignment with international standards such as ISO 27001, NIST, CIS, GDPR, CSA and SOC 2.
Risk & Control Lifecycle: Manage regular risk assessments to identify vulnerabilities and participate in the design, implementation, and testing of security controls to ensure organizational resilience.
Audit & Compliance Monitoring: Coordinate internal and external security audits, managing the collection of evidence and tracking remediation efforts across various business units.
GRC Platform Ownership: Serve as the technical owner of the companys GRC platform.
RFI Lifecycle Management: Act as the primary point of contact for managing the end-to-end process for client security questionnaires and due diligence requests from triage to final submission.
Knowledge Base Architecture: Build and maintain a centralized, AI-assisted repository of approved technical responses covering Security, Privacy, Product Tech (e.g., oAuth, integrations), Legal, ESG, and Finance.
SME Collaboration & Triage: Facilitate cross-functional communication by triaging inquiries and escalating complex technical or legal questions to the appropriate Subject Matter Experts in R&D, Product, Legal, and Compliance.
Technical Trust Documentation: Create and update client-facing collateral, including security white papers, trust center content, and compliance summaries to proactively address stakeholder inquiries.
Process Optimization & Metrics: Evaluate and implement new SaaS tools to automate the RFI workflow while tracking performance metrics like volume and response times to drive operational efficiency.
Stakeholder Enablement: Develop and deliver training materials, wikis, and "How-to" guides to educate GTM and technical teams on the standardized RFI process and SME engagement model.

abra is hiring a Solution Manager & Customer Success for large-scale public sector data and cloud programs. We are looking for an experienced client-facing leader to manage government customers end-to-end – from understanding business needs and defining scope, through leading complex data and cloud migration projects, to delivery, adoption, and continuous improvement. This role combines strategic account leadership with hands-on program management. You will work closely with executive stakeholders and IT leadership, lead multidisciplinary delivery teams including Data Engineers, BI Developers, Architects, DevOps and PMO, and ensure projects are delivered on time, within budget, and at the highest quality standards. The position includes leading requirement gathering and scoping processes, writing detailed functional and technical documents, building roadmaps and execution plans, managing risks and dependencies, conducting steering committees, and driving operational excellence post go-live. In parallel, you will identify growth opportunities, support pre-sales efforts, and expand activity within existing accounts.