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we are looking for a AI Applied Scientist - Insights & Recommendations.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research, and develop cutting-edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team , you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the world's technologies, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Combine classic methods with inference techniques: statistics, Time series, Deep learning, anomaly detection, Recommendation Systems, Transformers, and Inference to extract data-driven insights.
Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications, and other various data sources.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Leverage modern technologies: work with cloud-based big data platforms for storage, distributed processing, LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.

You will join the Deployment Platform team, which puts technology directly in the hands of customers, field technicians, and partners. As an AI-Native mobile engineer, your primary development framework is Flutter (with native iOS and Android used when needed), building the mobile application central to field deployment. You are also comfortable across the full stack to ensure end-to-end feature delivery. Most importantly, you will shape the next generation of agentic installation experiences that define how industrial AI reaches the factory floor. This is a high-impact role at the intersection of mobile, IoT, and AI.
A Day In Your Life:
Design, build, and maintain high-quality, cross-platform mobile applications for iOS and Android using the core Flutter/Dart stack.
Lead the design and shipment of agentic-first workflows for guided installation, leveraging LLMs (Azure OpenAI, Gemini) to assist technicians and automate decision-making in the field.
Implement complex IoT/Hardware integration features, including NFC provisioning, AR field tools, and indoor positioning/navigation.
Contribute to backend and frontend services/APIs to ensure seamless, end-to-end feature delivery.
Architect and maintain a scalable, modular monorepo, ensuring robustness through strong state management (BLoC/RxDart) and comprehensive test coverage.
Collaborate with product and design teams to deliver exceptional UI/UX, including adaptive and RTL-aware layouts.

we are looking for a Algorithm and Applied AI Scientist (DSP).
As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis.
A Day In Your Life:
Be the technical lead of an innovative project.
Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns.
Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
You will gain a deep proficiency in the industrial world and the connection between datasets to generate actionable insights.
Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights.
Partner with the product team and external customers to create data-driven solutions that address real-world business needs.

we are looking for a Experienced AI Software Engineer.
You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.
A Day In Your Life :
Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
Build production-grade GenAI services, APIs, and backend infrastructure.
Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope.
Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems.
Improve latency, reliability, fallback behavior, cost efficiency, and production readiness.
Work on customer-facing AI experiences, including conversational and proactive agentic product flows.
Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.

In this job you will need to design, lead, develop, complex and versatile software solutions. This includes technical leadership and working closely with other stakeholders in the organization such as system engineers. You will need follow through from concept to product along with hands on hands-on coding and supporting complex integrations of the various parts of the system. We offer a challenging and most interesting technological domain with many SW technologies, algorithms, and a wide SW stack.


Responsibilities
Lead and implement complex software features in an embedded Linux environment.
Develop, debug, and maintain kernel-level.
Own the software integration of multiple system components.
Collaborate with system, hardware, and other teams.
Take responsibility from design through delivery, including hands-on coding.
Write technical documentation and design specifications.
Deep knowledge with HW architectures, OS implementation details and HW-SW partitioning.

Were growing and looking to hire a Backend Software Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Backend Software Engineer, you will be a key contributor to the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, you will help build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will tackle complex identity management and high-availability systems where security and performance are equally paramount.
Responsibilities:
As a Backend Software Engineer, your impact will be:
Take full ownership over features, from product design to deployment, including whole feature architecture.
Drive Technical Ownership: Design, develop, and maintain robust secure access features, ensuring seamless integration between IT and OT networks.
Architectural Evolution: Implement and optimize scalable, high-performance gateway and proxy architectures that support global enterprise scales.
Cross-Functional Collaboration: Partner with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities.
Maintain Code Excellence: Promote best practices in code quality, security protocols, and system resilience across the company's code infrastructure.

Were growing and looking to hire a Backend Software Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Backend Software Engineer, you will be a key contributor to the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, you will help build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will tackle complex networking challenges, identity management, and high-availability systems where security and performance are equally paramount.
Responsibilities:
As a Backend Software Engineer, your impact will be:
Take full ownership over features, from product design to deployment, including whole feature architecture.
Drive Technical Ownership: Design, develop, and maintain robust secure access features, ensuring seamless integration between IT and OT networks.
Architectural Evolution: Implement and optimize scalable, high-performance gateway and proxy architectures that support global enterprise scales.
Cross-Functional Collaboration: Partner with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities.
Maintain Code Excellence: Promote best practices in code quality, security protocols, and system resilience across the company's code infrastructure.

Were growing and looking to hire a Software Team Leader - XSA who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
As a Software Team Leader for XSA (xDome Secure Access), you will lead the development of our industry-leading secure remote access solution. In a world where critical infrastructure is increasingly connected, your team will build the bridge that allows safe, monitored, and frictionless access to sensitive industrial environments. You will deal with complex networking challenges, identity management, and high-availability systems where security and performance are equally paramount.
Responsibilities:
As a Software Team Leader - XSA, your impact will be:
Lead and Empower: Drive a high-performing team of developers, fostering a culture of technical ownership, security-first mindset, and continuous delivery.
Secure Connectivity: Lead the design and implementation of robust secure access features, ensuring seamless integration between IT and OT networks.
Architectural Leadership: Oversee the development of scalable, high-performance gateway and proxy architectures that support global enterprise scales.
Cross-Functional Collaboration: Work closely with Product Management and Security Researchers to implement Zero Trust principles and advanced session monitoring capabilities.
Mentor and Grow: Invest in your teams professional growth, promoting best practices in code quality, security protocols, and system resilience.

We are seeking an experienced, strategic Senior Product Manager to lead the discovery, definition, and delivery of impactful product initiatives across platform. You will own the product vision and roadmap for your domain, balancing customer needs, technical feasibility, and long-term business goals. This role requires exceptional product thinking, leadership, data-driven decision making, and close collaboration with engineering, design, and go-to-market teams to drive innovation in the CPS space.
Responsibilities:
As a Senior Product Manager, your impact will be:
Product Discovery & Delivery: Empower and guide the product and engineering teams to discover, design, and build viable solutions to complex problems that delight customers.
Lifecycle Ownership: Own the end-to-end product lifecycle from strategy to execution-converting high-level market feedback, AI capabilities, and technical requirements into successful, scalable releases.
Strategic Roadmap: Play a key role in driving the product roadmap planning and prioritization process, synthesizing diverse inputs into a clear, forward-looking product definition.
Go-To-Market Partnership: Partner closely with Sales, Marketing, and Customer Success to drive product adoption, enable global teams, and support strategic GTM efforts.
Cross-Functional Collaboration: Work across horizontal R&D teams to ensure scalable, unified, and cohesive platform delivery.

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

We're looking for a Senior Full Stack Engineer to join our team!

A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like React, Node.js, AWS, and scalable databases to build a unique experience in B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

We're looking for a Senior Backend Engineer to join our team.

A day in the life and how youll make an impact:
Each member of our team is an all-around player who influences the product from the overall experience to the development.
Youll be using top technologies like Typescript, Node.js, AWS and scalable databases to build a unique experience in the world of B2B payments.
You should be passionate about engineering and building a product end-to-end, through the design, coding, testing, and deployment phases.

As an Engineering Manager, you will lead a tight-knit, dynamic team of engineers who take pride in high coding standards and modern development practices. You will own one of our impactful, user-facing product areas, making strategic decisions, enhancing workflows, and supporting your team members.

Using technologies such as React, Node.js, AWS, and scalable databases, you will build a unique experience in the world of B2B payments.

Each team member is an all-around player who influences the product from the overall experience to development, and you will be no different. You should be passionate about building a product end-to-end, overseeing the UX, design, coding, testing, and deployment phases.

As a Data Scientist you will be working with colleagues from various disciplines - Research Engineers, Analysts, and other Data Scientists - on statistical methods and machine learning techniques and Gen-AI (both supervised and unsupervised) in order to develop classification and anomaly detection algorithms.