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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.

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.

We are seeking a strategic, customer-focused, and data-driven Senior Product Manager to lead the vision, strategy, execution, and growth of high-impact product experiences. The Senior Product Manager is responsible for identifying meaningful customer problems, defining product direction, aligning cross-functional teams, and delivering measurable business and customer outcomes.
This role operates at the intersection of customer needs, business objectives, technology capabilities, and market opportunities. Successful candidates demonstrate strong product judgment, customer empathy, analytical rigor, and the ability to influence without authority while leading complex initiatives across engineering, design, analytics, marketing, and business stakeholders.
Key Responsibilities:
Define product vision, strategy, and roadmap by combining customer insights, business goals, market trends, competitive context, and growth opportunities.
Own product outcomes by translating strategy into actionable plans, prioritizing investments, partnering with engineering and design, and managing tradeoffs, risks, and dependencies through delivery.
Define and use product metrics, customer feedback, experiments, and performance data to guide decisions and improve adoption, engagement, retention, and business outcomes.
Lead cross-functional alignment by influencing stakeholders, resolving ambiguity, building consensus around priorities and tradeoffs, and clearly communicating product direction.
Apply industry trends, AI capabilities, emerging technologies, and architectural understanding to create customer value, improve decisions, and advance responsible innovation.

Required Senior Product Manager - AI Gateway.
Description
We are building a new platform that will enable reliable, cost-effective, AI deployment and management. The project is running at a high-pace, AI-native operating model, and spans across multiple domains (networking, cloud, AI, security, analytics, operations, business portals). We are looking for an experienced Product Manager, with deep domain expertise in these areas, to lead all product activities.
Key Responsibilities:
Product Vision, Strategy & Roadmap.
Voice of Customer.
Market & Competitive Analysis.
Product Definition.
Product Delivery & Execution, in Partnership with Engineering & UX.
Release Planning & Readiness Activities.
Product KPIs, Customer Value & Business Impact.
On-Going Customer Engagement & Feedback.

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.

BriefCam, recently acquired by our company, a Canon company, is the industrys leading provider of Video Synopsis solutions for rapid video review and search, real-time alerting, and quantitative research insights.
We are growing and looking for a Senior Technical Product Manager with a strong background in software development or DevOps, and a deep understanding of AI-driven systems, including hardware-accelerated architectures, to join our core product team. The Technical Product Manager will be responsible for driving the development and execution of the product roadmap, working closely with cross-functional teams to deliver innovative solutions to market.
Responsibilities
Responsible for defining product and service specifications and requirements; making decisions regarding priorities and the execution and release of the technical areas roadmap
Define and evaluate performance, scalability, and cost benchmarks for AI-driven, hardware-accelerated systems, and use them to guide product decisions and prioritization in close collaboration with Engineering.
Collaborate with Engineering teams to ensure that the product meets the requirements in terms of user experience, engineering feasibility, and customer expectations.
Analyze customer usage and feedback continuously and communicate the roadmap and priorities to all stakeholders.
Meet with customers and partners worldwide to gather feedback, requirements, and priorities for R&D.
Engage in close collaboration with management and global business teams on new product opportunities and product roadmap.
Incorporate feedback from customers into the product design cycle, including the creation of specifications and designs (hands-on).

We are looking for a talented, hands-on Software Development Team Leader to lead a small, focused team of software developers in a web development environment and take a key role in the development of an advanced, real-time operational platform.
The ideal candidate is a dynamic and technology-driven Team Leader who loves building great software, brings new ideas to the table, stays constantly up to date with emerging technologies, and knows how to turn them into real engineering value.
Responsibilities:
Lead the teams day-to-day technical activities while remaining actively hands-on in development.
Develop scalable backend services in a microservices architecture.
Integrate AI into the day-to-day development lifecycle, including coding, testing, debugging, documentation, code review, and productivity improvement.
Work closely with Product, System Engineering, Project Managers, QA, and other R&D stakeholders.

As a Senior Site Reliability Engineer at our company 911, you'll own the infrastructure that keeps our platform reliable, scalable, and secure - work that directly supports mission-critical 911 systems used by public safety agencies. You'll drive infrastructure-as-code practices across AWS, lead observability efforts through Datadog, and bring modern AI-assisted engineering approaches into how the team builds and operates.
What You'll Do
Own and evolve AWS infrastructure using Infrastructure-as-Code (Terraform / Terragrunt)
Architect and scale AWS environments
Deploy, scale, and manage containerized workloads using Kubernetes and Docker; contribute to HA/DR architecture and platform strategy
Lead deployment and release processes using Argo (reference JD also names Bitbucket, Jenkins as part of the CI/CD toolset).
Define and enforce SLOs, SLIs, and error budgets; drive toil reduction across the platform
Drive full utilization of Datadog for monitoring, dashboards, and alerting across the platform (reference JD also names Prometheus, Grafana as potential observability tooling)
Build self-service internal developer platforms that empower teams to ship faster.
Take end-to-end ownership of infrastructure projects - define success criteria, execute, and measure outcomes.
Partner cross-functionally with engineering teams (e.g., network engineering, Dev owners) on long-term technical planning.
Bring AI-assisted engineering practices (e.g., Claude, MCP integrations) into daily workflows to improve team efficiency
Document work and provide cross-training to peers.
Resolve JIRA tickets across Cloud, CI/CD, deployments, and monitoring.

Required Senior Python Software Engineer
The Role:
Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions.
This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

We're looking for a Head of DevOps to lead, build, and scale the cloud infrastructure that powers our AI-driven platform. You'll own our infrastructure end-to-end, design highly available systems, set DevOps practices, and enable our engineering team to ship production AI features fast. If you love building reliable infrastructure, leading by example, and moving quickly, we want to hear from you.
What You'll Do:
Own and lead infrastructure end-to-end, from architecture through deployment and monitoring
Design and maintain scalable, highly available cloud infrastructure on AWS, GCP and Azure
Build and optimize CI/CD pipelines to enable fast, reliable deployments
Manage and scale Kubernetes clusters (EKS) and container orchestration
Implement infrastructure-as-code, automation, and observability across our systems
Ensure data governance, security, and compliance across our platform
Provide real-time monitoring and analysis of system health, performance, and costs
Partner with backend engineers, ML engineers, and AI researchers to support production AI workloads
Lead architectural decisions and establish DevOps strategy and best practices as we scale.

Required Senior SW Engineer [Codegen]
We are modernizing analytics infrastructure with the first purpose-built ASIC processor, the Analytics Processing Unit (APU), for analytics and AI data workloads. Delivering up to 100x faster Apache Spark performance while cutting infrastructure TCO by 90%, the APU executes analytics operations directly in silicon with seamless integration and no code changes.
Job Description:
Join a multi-disciplinary team of experts operating at the core of our 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.

Were looking for an experienced SW Engineer to join our Architectural Team, where you'll design and develop our hardware simulators that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics. You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behavior.
Responsibilities:
Develop new hardware simulators and continue evolving existing ones.
Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
Provide insights that influence chip architecture, compiler optimization, and system-level performance.
Develop tools that drive the chip development cycle.