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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.

Were launching a new Financial Infrastructure team at our company to build the next generation of our payments and platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with significant ownership, autonomy, and technical influence from day one.
Youll design and build foundational systems that power our companys platform, working on high-impact, mission-critical services 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 systems, iterate quickly, and see the impact of your work in production.
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.
Backend-focused, full-stack mindset - Your core focus will be backend systems, but youre comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.

As a Staff Engineer, youll play a leading technical role across our Data & AI domains - agent workflows, close management, and data & network. Youll design and build the foundational systems that power these products, working on high-impact, mission-critical services and helping set the technical bar for the team.
What youll do:
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.
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.
Backend-focused, full-stack mindset - Your core focus will be backend systems across agent workflows, close management, and data & network, but youre comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Mentor and guide the team - Support and mentor engineers, and guide architectural decisions to raise the technical bar across the team.
Partner across stakeholders - Work closely with Product and Engineering Management to ensure alignment on mission, prioritization, and team focus. Be a focal point for engineering questions, bringing a business mindset and a clear understanding of our goals.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.

We're looking for an exceptional, hands-on technical leader to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team - operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

Were looking for a talented AI-native Software Engineer to join our innovative R&D team!
we help its customers acquire better users and spend less doing it - and our core team owns the engine behind it. We turn raw customer data into ad-network conversions, end-to-end: through large-scale ML and data pipelines, event-driven delivery services on AWS, and the UI that ties it together. There's no narrow lane here - you own problems wherever they live in the stack.
We're an AI-native team: we treat AI and agentic tooling as a first-class part of how we build, and it's how a small team credibly owns this much surface area. We're looking for a high-ownership generalist who works this way (or is hungry to), and who thrives in a correctness-critical domain where a bug means real customer ad-spend going the wrong way.
Responsibilities:
Turn raw customer data into ad-network conversions end to end, building across the whole stack: ML and data pipelines, delivery services, and the customer-facing UI.
Take features from idea to production largely on your own, designing, shipping, monitoring, and iterating, using AI and agentic tooling as a force multiplier, and owning your systems in production where mistakes translate directly into customer spend.
Collaborate closely with the team lead, product, and data scientists to take models and ideas from prototype to reliable, scaled-up production.

We're looking for an exceptional, hands-on technical engineer to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team - operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

We are looking for an Engineering Manager
We are looking for a seasoned leader with a mature management mindset, capable of mentoring top talent while actively shaping our product and driving business impact.
Key Responsibilities:
Lead and mentor a dedicated development team
Ensure changes meet business needs by understanding the business and maintaining close relationships with users
Design and implement scalable, high-performance architecture
Solving complex problems with innovative solutions
Collaborate with cross-functional teams to optimize systems.

We're looking for an exceptional, hands-on leader-engineer to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team - operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

We are looking for an Automation Infrastructure Engineer to join our Release Management Squad (RMS) and contribute to the development and day-to-day operation of our automated testing platform. The role focuses on supporting automation infrastructure, CI/CD validation flows, test environments, and visibility into automation results. Working with experienced engineers, R&D, and DevOps, you will help troubleshoot automation issues, improve existing solutions, and expand functional and non-functional validation coverage.
Responsibilities
Develop and maintain automation components for functional and non-functional testing under the guidance of senior team members.
Support the stability of automated validation systems by monitoring executions, investigating failures, and implementing fixes.
Maintain and improve existing automation dashboards, alerts, and quality indicators.
Support CI/CD pipelines and automated quality checks, including troubleshooting validation failures.
Implement test flows for performance, reliability, stability, and upgrade validation based on defined plans.
Set up and maintain automation environments for supported product configurations.
Collaborate with development, QA, and DevOps teams to integrate and execute automation throughout the delivery lifecycle.
Contribute to ongoing improvements in automation tools, infrastructure, documentation, and team practices.

We are looking for a Senior Automation Infrastructure Engineer with a strong engineering and operational mindset to join our Release Management Squad (RMS) and play a key role in building and operating our testing platform at scale. This role focuses on owning the reliability, performance and observability of automated validation systems. You will design and evolve scalable automation solutions for functional and non-functional testing, build and operate CI/CD pipelines with embedded quality gates, and ensure full visibility into automation and product quality through monitoring, dashboards and KPIs. Working closely with R&D and DevOps, you will integrate automation deeply into the delivery lifecycle, while continuously improving automation infrastructure, environments, and best practices to support efficient, reliable, and scalable product validation.
Responsibilities
Design, develop, and evolve scalable automation solutions for functional and non‑functional testing.
Ensure reliability & stability of automated validation systems.
Design and maintain observability of automation systems health and product quality, including development of status dashboards, alerts and KPIs.
Build and maintain CI/CD pipelines and quality gates (GitHub Actions or equivalent) to ensure automated validation is an integral part of the release process.
Develop automation processes for non‑functional requirements, including performance, reliability, stability, and upgrade validations.
Create and maintain automation environments to support product permutations and non-functional requirements.
Collaborate with development and DevOps teams to integrate automation into build, deployment, and release pipelines.
Continuously improve automation infrastructure, tooling, and best practices.

We are seeking an experienced Embedded Software Engineer to join our R&D team and contribute to the development of next-generation wireless systems.
In this role, you will be involved in the design and development of advanced wireless MESH solutions for our products, as well as cybersecurity capabilities for our wireless platforms, with a growing focus on integrating capcabilities developed using LLMs into our products.
This is a hands-on position that combines embedded software development, networking, and AI-oriented innovation.
Reports to: SW team leader in Israel.
Responsibilities:
Design and develop advanced wireless MESH communication systems
Develop high-performance embedded software in C/C++ on Linux-based platforms
Integrate software within end-to-end systems (HW + SW + Cyber)
Take part in AI LLM -driven feature development and integration (optimization, automation, data analysis)
Collaborate across teams to deliver robust, real-world deployed solutions.

We are looking for Pre-Sale Engineer to join a fast-growing company operating in the defense, drones and autonomous systems space.
The company develops advanced communication and cybersecurity solutions for mission-critical platforms used by global customers and leading system integrators.
The role combines deep technical understanding with hands-on pre-sale activities, working closely with sales teams and customers on RF-based communication solutions and our cybersecurity software.
Responsibilities:
Lead technical aspects of the sales process across Israel, Europe and the US
Work closely with sales teams in customer-facing engagements
Lead technical discussions, presentations, and evaluations with customers and partners
Prepare and respond to RFI/RFPs and develop technical proposals
Translate customer requirements into tailored technical solutions
Analyze and support RF link feasibility based on customer needs
Support the integration and technical aspects of our cybersecurity solutions in customer engagements
Support demos, POCs, and technical evaluations
Collaborate with R&D, Product and Customer Success teams
Provide technical support in early deployment stages when needed.