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We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.

Were looking for a top-notch Detection Software Engineer to join our Threat Research team and further develop the Runtime Sensor. In this role, you will work on a world-class runtime security solution affecting some of the largest cloud workloads, collaborating closely with engineering and research to enable new and better threat detection capabilities.
Check out some of our recent research:
PostgreSQL Cryptomining
SeleniumGreed Cryptomining Exploit Attack Flow & Remediation Steps
PyLoose: First Python-based Fileless Attack on Cloud Workloads
Responsibilities:
Work on a world-class runtime security solution affecting some of the largest cloud workloads.
Work closely with engineering and research to enable new and better threat detection capabilities.
Build and extend our research infrastructure, automated testing infra and release processes.
Conduct research and develop new detection capabilities, from concept to implementation.
Constantly shift things from an art to a science - make the hard things easy, fast and scalable.
Quickly address gaps and changes when needed. Bias towards action.
Analyze, debug and solve problems in test, staging and production environments.
Create and enforce best practices and security policies.
Work with customers in response to requests and questions when needed.

e are currently seeking a dynamic Incident Response Analyst to contribute to the success of our rapidly growing business.



As an Incident Response Analyst, you will:

Investigate and respond to workspace security incidents across email, browser security and perimeter security domains.
Handle investigation requests submitted by customers
Perform targeted phishing analysis and investigation of new attack campaigns
Conduct threat hunting based on attack patterns, behaviors, and indicators
Build and improve detections based on new attack types, tactics, companies and trends
Collaborate with development and research teams to provide incident-driven insights, and develop new detection engines for identifying previously unknown attacks
Write professional blog posts based on incident investigations and attack trends, contributing to the companys research-driven content and public visibility
Work in rotating shifts as part of a 24/7 operation (including nights, weekends, and holidays)

Were looking for a Data scientist Expert to join us and spread our power. As a Data Scientist you will be responsible for driving research and development of autonomous AI agents and LLM-powered systems. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the companys security posture.
Responsibilities:
Lead applied research on AI agents and LLM-driven features in the platform - from autonomous threat investigation agents to AI-powered security operations workflows.|Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security.
Collaborate with engineering teams to design, build, and maintain production pipelines.
Work closely with the Security Research and Product teams to define research goals
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability.

We are looking for a hands-on IT Systems Engineer to own and manage our corporate IT infrastructure. Since our entire fleet is 100% macOS, we need someone with deep, expert-level knowledge of the Apple ecosystem. Additionally, you will bridge the gap between IT and DevOps, helping to automate workflows, manage cloud-based identity tools, and handle basic infrastructure tasks.
What Youll Do:
Mac Management & Security: Own the deployment, configuration, and security of all corporate Mac endpoints using MDM solutions (Jamf Pro / Kandji).
Automation & Scripting: Write scripts (Bash / Python) to automate routine IT tasks, software updates, and onboarding workflows.
DevOps Touchpoints: Manage identity and access (IdP) like Okta/Google Workspace, and collaborate with the R&D team on basic cloud infrastructure, CI/CD, or network security tasks.
IT Infrastructure: Handle SaaS vendor management, network troubleshooting, and security compliance (SOC2).

We are looking for a Brand & Data Visualization Designer to join our studio team and spread our power. In this role, youll be the master of our visual storytelling - transforming complex data, high-stakes presentations, and marketing campaigns into high impact visual assets while leveraging AI to optimize our design workflows.
Responsibilities:
Design and elevate high-end corporate presentations, complex infographics, data visualizations, charts, and business documents.
Build, maintain, and enforce robust templates across the company to ensure brand consistency and design efficiency at scale.
Create eye-catching, high-converting assets for social media and performance marketing ads.
Leverage cutting-edge AI tools to build modern workflows, optimizing and streamlining design processes across all studio team projects.
Oversee and streamline the production pipeline for high-scale design deliverables, ensuring efficiency and quality control across all assets.
Act as a reliable anchor for the team, managing multiple high-priority projects and tight deadlines in a fast-paced environment.

We are looking for a Software Engineer - Customer Solutions to help customers successfully integrate, configure, and deploy our platform. You will work directly with customers to understand their technical requirements, build integrations, and troubleshoot issues across APIs, data, authentication, and enterprise systems.
This role is ideal for someone who enjoys combining hands-on engineering with customer interaction. We are looking for strong technical fundamentals, curiosity, clear communication, and a practical approach to solving real-world problems.
What Youll Do:
Work directly with customers to understand their technical workflows and integration needs.
Build and configure integrations between our platform and customer systems.
Develop backend services, scripts, APIs, data transformations, and automation workflows.
Investigate technical issues involving APIs, databases, authentication, customer data, and infrastructure.
Participate in customer implementation meetings and help translate business requirements into technical tasks.
Test, deploy, monitor, and support customer-facing solutions.
Document integrations, troubleshooting steps, and implementation decisions.
Work closely with senior engineers and product teams to turn customer-specific needs into reusable capabilities.
Gradually take ownership of increasingly complex customer projects.

We're looking for an experienced Backend Engineer to join our expanding R&D team and help drive our growth. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power us. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud.
Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more.
Responsibilities:
End-to-end development of backend software components (research, design, development, testing, rollout, monitoring).
Contributing to technological and architectural decisions.
Conducting design and code reviews.
Analyzing and improving efficiency, scalability, and stability of various backend system components.
Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features.

We're looking for a talented Applied Security Researcher to join our team and play a major role in our frontier research team, enabling contextual code understanding across complex cloud deployments.
Responsibilities:
Investigate the Code, Cloud, and AI technologies that we integrate with and protect, answering key research questions to unlock new features and product areas.
Design and build high-quality functional prototypes, driving abstract product ideas from inception into working PoCs and supporting development teams through initial implementation.
Conduct technical research to model risks and attack vectors specific to modern cloud- and AI-native architectures and systems.
Define and implement novel agentic workflows and advanced methods to express consistent contextual understanding of evolving application and cloud environments.

We're looking for a talented AI Security Researcher to join our team and play a critical role in our foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks.
Responsibilities
Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems.
Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities.
Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it).
Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope.

Were launching a new AI team at our company to build AI-first products and foundational platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with ownership and influence from day one.
Youll design and build foundational systems that power the next generation of our companys platform, working on high-impact, customer-facing products and helping set the technical bar for the team.
What youll do:
Own features end to end - take ideas from early concept through production. You wont just write code, youll ship real products, iterate quickly, and see the impact of your work with customers.
Think beyond the task -Take initiative, understand the broader context, and help drive product and technical decisions. This is not a ticket-driven role.
Build AI-powered systems- Use AI where it meaningfully improves product quality, development velocity, or user experience, both in what we ship and how we build.
Backend-focused, full-stack mindset- Your core focus will be backend systems, but youre comfortable working across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and designed to grow with the platform.

As a Senior Full Stack Engineer, youll take the lead on building close management - a brand-new product were creating from scratch that will reshape how finance teams close their books and become a core engine of our companys growth and scale. Youll also work across our other core product domains, agent workflows and data & network. That spans the intelligent agents that do the work for finance teams, the products that help businesses close their books faster and with more control, and the data and network layer that connects it all together. Youll move fluidly between front-end and back-end, owning features end-to-end across whichever of these domains needs you most.
Key Responsibilities
Own features end-to-end - Take ideas from early concept through production across agent workflows, close management, and data & network. You wont just write code - youll ship real systems, iterate quickly, and see the impact of your work in production.
Build best-in-class UX and UI - Design state-of-the-art user experiences and interface flows for our new applications. Front-end craft is central to this role, not an afterthought to back-end work.
Work across the full stack - Move comfortably between front-end interfaces and back-end services, APIs, and data pipelines.
Build across agent workflows, close management, and data & network - Develop the intelligent agents that automate work for finance teams, our brand-new close-management product - built from scratch - that powers a faster and more controlled close, and the data and network infrastructure that connects it all together.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Design for scale - Build products and services that are reliable, maintainable, and architected to scale with the platform.

We are looking for a Senior Data Scientist to lead the design and implementation of next-generation AI solutions for Lifecycle Marketing.
As a senior member of our team, you will shape methodology, guide product direction under uncertainty, and represent in high-stakes conversations with customers. Youll combine deep expertise in causal inference, reinforcement learning, and experimentation with strong communication skills to drive impact across the company and with our clients.
Responsibilities:
Own the design and methodology of data science solutions for lifecycle marketing, with emphasis on causal inference, uplift modeling, and reinforcement learning.
Lead the development of experimentation frameworks (A/B/n tests, variance reduction, policy evaluation).
Research, prototype, and productionize multi-armed bandits and contextual RL approaches for personalization and timing optimization.
Take a strong, opinionated role in brainstorming sessions, guiding decision-making in areas of high uncertainty.
Represent Voyantis in front of customers, translating complex modeling decisions into clear business value.
Mentor junior and mid-level team members, raising the technical bar across the team.
Collaborate closely with product managers, engineers, and analysts to align data science strategy with business goals.

Were launching a new Data & AI team at our company to build AI-first products and foundational platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with ownership and influence from day one.
Youll design and build foundational systems that power the next generation of our companys platform, working on high-impact, customer-facing products and helping set the technical bar for the team.
What youll do:
Own features end to end - take ideas from early concept through production. You wont just write code, youll ship real products, iterate quickly, and see the impact of your work with customers.
Think beyond the task -Take initiative, understand the broader context, and help drive product and technical decisions. This is not a ticket-driven role.
Build AI-powered systems- Use AI where it meaningfully improves product quality, development velocity, or user experience, both in what we ship and how we build.
Backend-focused, full-stack mindset- Your core focus will be backend systems, but youre comfortable working across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and designed to grow with the platform.

We are looking for a mission-driven BizOps Engineer to join our R&D team!
We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the BizOps Engineer, you will serve as both a platform architect and a hands-on builder. You will own the AI-native platform architecture and governance for all non-core product functions, including Sales, Operations, HR, Legal, and Finance, while also building, maintaining, and scaling custom AI solutions yourself to address specific departmental needs.
Reporting directly to the VP of R&D, this role begins as a high-impact Individual Contributor (IC) with a clear mandate to build and lead a dedicated engineering team as the function scales. Your primary focus will be designing and deploying infrastructure and security protocols while simultaneously delivering the bespoke AI tools that empower teams and drive operational efficiency.
You will have the autonomy to choose the most effective path forward for any given challenge, whether that means leveraging existing SaaS platforms, integrating open-source projects, or building custom solutions from scratch, always guided by the specific needs and projected ROI of the departments you support.
Responsibilities:
Architect and maintain the internal AI-native platform, while personally building and scaling custom AI solutions and automated workflows for cross-functional teams.
Establish and enforce security protocols, governance frameworks, and best practices to enable safe and compliant AI solution development across the organization.
Identify and scale platform enablement opportunities that allow departments to automate their own workflows using approved AI capabilities.
Monitor and manage organizational compliance for internal AI applications, ensuring data privacy and ethical standards are met at scale.