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We're looking for a Technical Account Manager to join our growing team and serve as trusted advisors to our customers. As a TAM, youll play a critical role in driving customer success by combining your technical expertise with your passion for customer engagement. Youll guide customers through onboarding, help them maximize value from our platform, and ensure their long-term satisfaction and retention.
While the primary focus of this role is post-sales, you will also support pre-sales activities, partnering with the sales team on technical deep-dives, product demonstrations, and proof-of-value engagements to help win new business.
Responsibilities
Build strong relationships with customers and become their primary point of contact for technical matters
Own the post-sales technical relationship, ensuring successful onboarding, implementation, and ongoing usage
Provide technical guidance, conduct training sessions, and lead workshops to help customers get the most out of our platform
Deeply understand customer architecture and workflows, offering proactive recommendations and best practices
Act as the voice of the customer internally, working closely with Product, Engineering, and Support teams
Monitor account health, identify risks, and proactively drive resolutions
Partner with the sales team on technical evaluations, product demonstrations, and proof-of-value engagements
Serve as a technical resource during prospect meetings, addressing architecture and security questions
Help craft tailored proposals and technical solutions that align with prospect requirements.

We are a well-funded cybersecurity startup backed by top-tier VCs. Our mission is to solve some of the most challenging problems in the security of software- how to make AI-first organizations release applications fast and not be bothered by security, leveraging AI agents to create secure code and fix vulnerabilities.
We are in a fast-growing, new space and looking to lead this new era of application security where AI write code.
The Role
We are looking for an experienced Development Team Lead to lead a team of talented engineers building core components of our platform.
This is a hands-on leadership role combining technical ownership, people management, and architectural decision-making. You will lead a team of engineers, drive execution of complex projects, and help scale both the technology and the team.
Responsibilities
Lead and mentor a team of software engineers, fostering technical excellence and ownership
Drive the design, architecture, and development of scalable cloud-native services
Collaborate with product, security, and platform teams to deliver high-impact features
Maintain high engineering standards including code quality, testing, and system reliability
Take an active role in hands-on development and technical problem solving
Support team growth through mentoring, feedback, and hiring.

We are looking for B.A. / B.Sc. / M.A. / M.Sc. students with at least 1.5 years (a minimum of 3 semesters) remaining in their studies, who are available to work 3.5-4 days per week. Please note that this position is not focused on Machine Learning engineering. Decision scientists Interns are highly motivated team players with strong analytical skills. Our Decision Scientists specialize in creating, driving, and executing initiatives to mitigate fraud on our companys platform and improve the experience for our companys hundreds of millions of customers while guaranteeing compliance with regulations. Our Decision Scientists specialize in analysing user behaviours, creating and leveraging advanced proprietary risk management mechanisms. as an intern, you will overcome challenges presented by big data, evolving fraud techniques, new payment technologies and human behaviour.
Job Description:
Your day to day
In your role as a Decision Scientist Intern, you will:
Master our companys data warehouse to help gain insights into consumer risk
Perform data-driven behaviour research
Transform results into business cases
Develop and own data-driven risk decision strategies to support our companys global financial business goals
Measure performance against KPIs and goals
Close collaboration with partners and stakeholders in Risk and in our company to execute our companys long-term strategy
What Do You Need To Bring-
Education: student status required Bachelor / Master
Student status - 2 years remaining before graduation, preferably in one of the following: engineering, computer science, math, physics, statistics, economy, accounting, business, cognitive science, medicine
Availability for 50% position or more
Some experience with SQL and Excel
Some experience with programming / R / Python / BI tools - advantage
Excellent spoken and written English
Quick-thinker, fast learner, problem solver
Team worker, responsible and trustworthy
People person - ability to communicate and motivate
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

We're seeking a talented, versatile, and highly independent Full Stack Engineer to join our engineering team.You will drive end-to-end development of technical foundation and platform services that empower all of our teams, influencing both product capabilities and technical decisions.
Responsibilities:
Lead development processes from ideation to production
Develop, implement, and maintain the platform's foundational services, including web applications, APIs, and essential internal solutions.
Collaborate with multiple engineering teams, product, and medical teams across the organization
Build a customer-centric product with a deep understanding of the complex healthcare industry

We're hiring for a new AI Engineering team in Tel Aviv, and you would be the first infrastructure hire. You will own the platform layer for AI agents the team builds: deployment architecture, observability, and production reliability.
The team's first two projects: an agent that automates internal governance processes (vendor reviews, security questionnaires, tool provisioning), and an agent that helps engineering teams prepare for architecture reviews. Both integrate with external APIs (LLM providers, OneTrust, ServiceNow), handle structured decision logic, and manage sensitive data flows with audit requirements.
Highlights
- Greenfield, but with real constraints. You're building on Azure/AWS with enterprise security requirements. The challenge is designing deployment and observability for LLM-backed services. You need to track output quality, cost per invocation, and model drift.
- Enterprise complexity, startup autonomy. Ownership and greenfield environment of a startup, with the integration challenges of a Fortune 200: connecting AI services to real enterprise systems.
- More than infrastructure. Your core is SRE, but you'll also write agent code in TypeScript and Python, work with data pipelines, and ship features alongside the team.
What the Work Looks Like
AI Service Infrastructure - Design and maintain deployment and release infrastructure for AI agents. The stack is cloud-native (Azure/AWS), with services that call LLM APIs, connect to enterprise systems, and handle structured data.
Observability & Reliability - Build monitoring and observability for AI services. Ensure model response quality doesn't degrade silently by tracking errors, logging cost spikes, and monitoring upstream API changes.
Security & Compliance - These agents handle sensitive workflows with elevated security requirements. You will work with our company's security team on standards, but you own how they're implemented in the infrastructure.
Developer Experience - Create tooling that makes it easy for the team to build, test, and deploy. The patterns you set become the team's defaults.

we are looking for a talented Senior Software Engineer
The team is responsible for processing structure and unstructured medical data from multiple external sources while building and maintaining an internal serving platform. Our key challenges include operating at scale, integrating with diverse external interfaces, and ensuring the data is served in a consistent and reliable manner.
Responsibilities:
Lead development processes from ideation to production
Collaborate with product, medical, and software teams across the organization.
Own the design and evolution of the data ingestion and serving platform.
Mentor and guide junior and mid-level engineers.
Define best practices for system reliability, scalability, and observability.
Lead technical decisions around distributed systems, APIs, and integrations.
Build a customer-centric product with a deep understanding of the complex healthcare industry

we are seeking a talented Engineer to join our Big Data Analytics Tools group in Israel.
This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines.
You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of media exposure records while preserving privacy.
If you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do
Be part of an engineering team that focuses on Big Data analytical platforms and tools
Design and implement highly reliable and scalable Spark applications that efficiently process big data
Collaborate with data scientists on the design and implementation of ML data pipelines
Integrate with relational databases, MongoDB, and AWS services (e.g. EMR, S3, SQS)
Work in an agile team to improve the development life cycle, development practices, and testing facilities.

We are seeking for a DevOps Engineer. As part of the team, you will take ownership of cloud-native environments, support development teams with robust and secure CI/CD processes, and help drive the implementation of Infrastructure as Code (IaC) practices. Youll work with advanced tools and technologies such as Azure DevOps AWS (including ECS), and Docker Containers, supporting mission-critical applications in a production-grade environment. A full time hybrid position?Key Responsibilities:
* Designing, building, and maintaining CI/CD pipelines using Azure DevOps
* Managing and deploying containerized applications using Docker and AWS ECS
* Implementing and maintaining Infrastructure as Code using tools like Terraform or CloudFormation
* Supporting development and QA environments in a hybrid cloud setup

Contribute to architecting and strategy, design and develop highly-available management systems, with scalable distributed system considerations and APIs
Lead solutions for business application platform layer while keeping in mind robustness, security, and monitoring
Aim to be a focal point for company-wide source of knowledge
Lead by example, mentor peers, and ensure high standards of code quality
You will work with product managers and business partners to frame problems within the business and product context.

Participate in the architecture, design, and implementation of innovative cloud-based services and development infrastructure.
Address multi-tenancy aspects, high availability, agility, security, and more.
Participate in Product Decisions and help design core product. The challenge is to build an efficient, robust, and bulletproof solution since our infrastructure powers our customers' mission-critical services...

Software development of SAP Unified Gateway with cutting edge technologies such as Go, Docker, Kubernetes and other cloud technologies.
Work in an Agile team applying Scrum, Agile development practices and DevOps.
Be a team player, contribute to team goals by showing personal flexibility and ability to work on a range of topics.

The Role Were looking for a Mid-Level DevOps Engineer to join our growing team and take part in designing, building, and operating scalable, secure, and automated AWS-based infrastructures. Youll work in a fast-paced environment, using advanced, cloud-native technologies, and have direct interaction with customers - understanding their challenges, designing solutions, and guiding them from architecture to production. Responsibilities Build and manage Infrastructure as Code (IaC) using Terraform Develop and optimize CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, etc.) Design, deploy, and maintain containerized environments using Docker & Kubernetes (EKS) Design and implement scalable, secure, and cost-efficient AWS architectures Work directly with customers to gather requirements, design solutions, and provide hands-on technical guidance Lead and support cloud modernization projects, including migrations and replatforming Monitor and improve system reliability using observability tools Troubleshoot complex production issues in dynamic, high-velocity environments Apply cloud security best practices (IAM, encryption, networking, compliance)

We seek a skilled and experienced .Net Developer to join our Server-Side team, which is currently developing both Cloud and On-Premises applications. In this role, you will play a crucial role in developing our next-generation system. Your responsibilities will include rewriting business logic from our legacy system, initially written in .Net Framework and C++, and migrating it to the new system using .Net Core. You will also design and develop new features from scratch.

Additionally, you will be responsible for developing a cloud-based application, encompassing everything from RESTful API development to creating comprehensive data solutions, including data collection, transformation, and monitoring systems.

Essential Duties and Responsibilities
Design and develop both gRPC and REST APIs.
Own complex features from concept through to production.
Review and provide constructive feedback on code written by team members.
Participate in design and architecture meetings to shape the future of our systems.
Apply excellent software design principles, debugging skills, and problem-solving abilities to produce high-quality code and comprehensive unit tests.
Demonstrate strong object-oriented design and coding skills and proficiency in Object-Oriented Programming and Design Patterns.
Independently solve problems and overcome technical challenges.
Stay updated on the latest trends, technologies, and best practices in backend development.
Communicate effectively and maintain excellent interpersonal relationships within the team.
Be a great team player who can work independently as needed.