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We are seeking a Senior Product Manager to join our innovative IoT team.
With a proven track record serving over 3,500 private customers and 20 governments worldwide, we are committed to transparency, ethical business practices, and cutting-edge technology.
We are looking for a strategic and execution-driven individual who thrives in a fast-paced environment and passionate about technology.
The ideal candidate has a deep understanding of market trends and user needs and will drive the development of pioneering products that enhance security and operational efficiency.
Join us to play a pivotal role in shaping the future of security solutions, leading impactful products that make a real-world difference.
The position includes:
Working on next-generation products from concept to execution.
Contributing to our mission of delivering the most innovative solutions in the electronic monitoring domain.
Partnering with the Scrum Master and engineering leads to support agile processes such as sprint planning, stand-ups, and retrospectives.
Writing clear and detailed product requirements from high-level concepts to granular user stories.
Collaborating with cross-functional teams (development, QA, sales, stakeholders) for seamless delivery.
Ensuring alignment on sprint goals, tracking progress, and addressing blockers with cross-functional teams.
Fostering a productive and communicative team environment.
Communicating effectively with both technical and non-technical audiences.
Balancing strong technical insight with business understanding to guide product decisions.

Join our AI team to drive mobilitys future! As Data Analyst & Operations Manager, youll optimize data workflows, lead annotation, and enhance algorithm performance to advance Vision AI.
RESPONSIBILITIES:
Model Evaluation
Work closely with the research team to evaluate model performance and define optimal operating points using precision, recall, and other ML evaluation metrics.
Annotation Management
Oversee annotation processes and manage the annotation team to ensure high-quality labeled data and streamlined workflows.
Database Management
Manage and maintain internal research databases for data-driven decision-making.
Cloud Infrastructure
Develop, maintain, and optimize cloud-based data infrastructure (AWS, GCP).
Benchmarking Framework
Build and maintain a benchmarking framework for continuous algorithm performance evaluation, including human-in-the-loop pipelines.
Dataset Curation
Curate training and testing datasets by querying databases and annotations, and by running data quality and auto-labelling tools.
Model Execution
Run algorithms and deep-learning models at scale.

Were looking for a highly organized and motivated technical content writer to join our Support team.
With your finger always on the pulse, youll quickly become an expert on all of our features. Your days will be spent learning about new features, collaborating with team members, and writing, writing, writing!
To succeed in this job, you must be inquisitive, a go-getter, and love to help people.
Only applicants with a writing portfolio will be considered
Responsibilities
Work with Product Managers, QA Engineers, and the Localization team to research, write, and publish new Support articles
Use a variety of tools to improve and update current Support articles
Collaborate with team leads to create internal Support material, including editing Support processes, writing auto-responses, and developing training materials
Show initiative and find ways to improve current processes.

Were looking for a highly experienced senior Backend Developer to join our team!
So, If you are curious to work with a large scale of data in real-time, committed to translating insights into action, want new challenges daily and impact the lives of millions of users globally, this role is for you!
Responsibilities
Planning, designing, developing, and maintaining high-availability backend applications that can be high-volume and low-latency
Define application objectives and functionality
Ensure application designs conform to business goals
Support continuous improvement, investigating alternatives and technologies, and presenting for architectural review
Work in a highly motivated team, closely with product and Architecture teams on large mission-critical systems.

we are looking for a Software Engineer to join our AI Applications team.
The AI applications team is working as an end to end value stream function, delivering product solutions from the very beginning of an idea towards the final user experience, where the main expertise is around products that require AI abilities.
You will be responsible for developing, iterating, and maintaining AI based user experiences on a variety of destinations on the platform. You will be a part of a multidisciplinary team of Product engineers, AI researchers, data scientists and Machine learning (ML) Engineers, you will work with the most recent AI tools and abilities in the industry, and will take a key role in shaping how those will make an impact on customers.
Responsibilities:
Collaborate with design, front-end, and ML engineers to develop and implement new features for platform.
Build scalable services and applications to support large-scale platform.
Write clean, efficient, and well-documented code. Actively participate in code reviews and quality assurance processes.
Work in a cross-functional team, closely collaborating with front-end, back-end, and AI developers to ensure seamless integration and optimal performance of front-end features.
Identify opportunities to improve our architecture and tooling across multiple levels of the stack.
Continuously research and explore new technologies, tools, and techniques to stay up-to-date with the latest trends and best practices.

Required Director, Analytics Risk & Fraud
Description:
As a Director in Analytics, you will work in a highly collaborative environment with extensive amounts of data to research and develop deep learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale.
As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.
Responsibilities
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.

We are looking for a highly skilled Senior Data Analyst with strong technical expertise and a passion for analyzing and optimizing mobile app performance. The ideal candidate will have extensive experience in data analysis, A/B testing, and working with causality models to drive actionable insights.
If youre passionate about the data analysis, and driving business growth through insights, wed love to hear from you!
Responsibilities
Identify improvement areas through data analysis, aligned with the companys strategic vision and goals.
Collaborate with cross-functional teams to translate data findings into business strategies.
Define, conduct and analyze A/B tests to evaluate the effectiveness of different product initiatives.
Developing and monitor dashboards and reports that provide visibility into platform health, user behavior, and key usage trends for stakeholders.

Required Mobile QA Engineer
Description
As a Mobile QA, you will be responsible for testing our client and chat extensions for iOS and Android platforms. We offer many interesting and challenging tasks that will allow you to extend your technical abilities delivering the product of the highest quality to our users. The ideal candidate is interested in improving our users experience and wants to make a positive impact in the team.
Responsibilities
Develop manual test scenarios and test suites.
Maintain test documentation
Validate new functionality and ensure the flawless testing process
Create and maintain test documentation including test cases, checklists, test plans
Work with the product owner to ensure requirements are captured correctly; work with the development team to analyze and resolve defects
Report over the manual testing results and possible risks
Support the full cycle of defect tracking & management
Functional API testing
Collaborate with development teams and quality engineering team to identify and prioritize opportunities for automation.

Required Technical Operations Manager
Responsibilities
Lead the implementation and maintenance of CRM events, attributes, and data flows across systems such as Braze, Adjust, and future integrations
Partner with CRM managers to support campaign execution by ensuring accurate event tracking, segmentation logic, and audience delivery
Manage and maintain technical documentation related to CRM systems and data sources.
Collaborate with Product, BI, and Development teams to align event naming conventions, data layer structure, and customer journey tracking logic
Perform QA and testing of new campaign implementations, event setups, and user journeys to ensure flawless execution
Support cross-platform integrations and data enrichment initiatives to optimize user lifecycle marketing
Oversee and support QA processes, including the potential management of a dedicated QA team member
Troubleshoot and resolve data discrepancies across systems and campaign delivery platforms
Monitor performance and delivery of marketing campaigns from a technical perspective and suggest optimizations
Help define scalable processes for CRM campaign readiness, including pre-launch testing, validation protocols, and release cycles.

We are looking for a NOC Engineer.
The NOC (Network Operation Center) engineer is responsible for monitoring and supporting company production systems.
He/She will verify service availability, send out status updates, identify root causes of production issues, coordinating operations and engineering teams in order to identify errors and anomalies.

We are searching for a DevOps Engineer with expertise in designing and implementing complex cloud infrastructures. The role involves leveraging advanced automation frameworks and state-of-the-art technologies to deliver scalable and efficient cloud solutions for our clients. As a DevOps Engineer, your primary responsibilities will include architecting, maintaining, and enhancing the AWS cloud infrastructure. You will implement and manage comprehensive monitoring and alerting systems, diagnose and resolve complex technical issues, and develop robust automation solutions tailored to our customers' needs.
* Deployment of advanced services on the AWS cloud
* Implement automation solutions
* Maintain a feedback loop with our customers to ensure deliveries meet the customers needs and expectations
* Diagnose, troubleshoot, and resolve technical issues
* Configure large-scale monitoring and logging solutions
* Assist in designing a customized architecture