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We are looking for a Staff Data Scientist with strong Machine Learning foundations and practical enterprise experience to join the VMDR team. In this role, you will act as a technical builder owning complex problem domains end-to-end, diving deep into cybersecurity nuances, and architecting cutting-edge LLM and ML solutions from initial research all the way to scalable production deployment.
What Youll Do:
End-to-End Ownership: Drive complex AI and ML initiatives through the full product lifecycle from early-stage prototyping and deep domain analysis to production-grade deployment and monitoring.
Architect & Deploy: Design and build production-ready AI models and system pipelines in Python using modern cloud and big data infrastructure (AWS, Spark).
LLM Innovation: Integrate state-of-the-art Generative AI and LLM workflows directly into our core VMDR features to drive automated detection, prioritization, and remediation insights.
Domain Deep-Dives: Partner closely with domain researchers, data engineers, and product leaders to dive into granular cybersecurity data and translate complex security problems into high-impact AI solutions.

As a Senior Data Scientist , you will be an integral part of our Machine Learning and AI team. The role is hands-on and impact-driven, focusing on building, improving, and delivering machine learning models that directly support business goals.

Responsibilities
Design and deploy production ML systems that drive automated business decisions (pricing, bidding, resource allocation)
Build end-to-end ML pipelines - from data ingestion and model training to serving, monitoring, and incident response
Translate ambiguous business problems into rigorous mathematical frameworks and own them from conception to production impact
Conduct rigorous experimentation (A/B testing, causal inference, uplift modeling) to measure and improve model performance
Maintain and improve real-time models that adapt to incoming data and feedback signals
Mentor junior team members on ML best practices and production standards

As a hands-on individual contributor, you will act as the primary technical expert for the marketing department when data discrepancies or tracking failures occur (e.g., missing conversions, Meta Ads signal drops, or AppsFlyer event mismatches). This position requires a proactive professional who uses SQL and data warehouse environments to identify and resolve anomalies before they impact reporting.

This is a dedicated technical specialist role focused entirely on deep ownership of data infrastructure and troubleshooting, without people-management responsibilities.

Responsibilities
Production Support & Troubleshooting

Own the end-to-end resolution of tracking and signal-delivery incidents (detection, root cause analysis, remediation, and documentation).
Diagnose data discrepancies across three distinct delivery paths: client-side GTM tags, Server-to-Platform CAPI, and reverse ETL.
Address and resolve brand- or country-specific tracking constraints, including regulatory and consent requirements.
Data Quality & Analysis

Conduct regular audits of event and conversion data across major platforms (Google Ads, Meta Ads, GA4, AppsFlyer, TikTok, and programmatic partners) to prevent attribution distortions.
Utilize SQL within Snowflake to validate that events sent via CAPI and reverse ETL match system specifications.
Document technical incidents and resolutions in clear, actionable reports for both technical and non-technical stakeholders.
AppsFlyer & GTM Ownership

Manage configurations and serve as the primary subject-matter expert for AppsFlyer and Google Tag Manager (both client-side and server-side) across all brands.
Partner with the internal GA4 team on cross-functional data issues (without holding direct responsibility for GA4 configuration).

We are seeking a senior, hands-on engineer who combines deep engineering fundamentals with modern toolsets to deliver high-impact, production-grade software.
What You'll Do:
Lead the end-to-end design and implementation of scalable backend microservices, database schemas, and advanced frontend infrastructures.
Drive system architecture decisions, ensuring high performance, security, and reliability across AWS cloud environments.
Write clean, maintainable, and high-performing code across both backend (Python) and frontend (React, TypeScript) stacks.
Utilize AI-assisted development workflows (such as Claude Code) effectively to accelerate delivery while strictly adhering to high standards of code quality, testing, and architecture.
Partner closely with product managers, data analysts, architects, and QA engineers to deliver complex, cross-company initiatives.
Take end-to-end ownership of horizontal group projects and mentor team members on best engineering practices.

We are looking for a talented, data-driven Product Manager who lives at the intersection of sports, technology, and user experience.

You aren't just writing specs; youre building the user experience for millions of sport fans. If you can translate complex sports data into a seamless user journey, we might have a fit.

Responsibilities
End-to-End Ownership: lead the full product lifecycle from initial idea and detailed PRDs to version release and post-launch optimization.
Cross-Functional Coaching: Collaborate with Design, Dev, BI, and Content teams to turn ideas into high-performing features. You will be the focal point that keeps the team aligned.
Data-Driven Growth: utilize user data to define product KPIS and make sure those KPIs are achieved.
Execution Excellence: take full responsibility for the product from start to the "Finish Line" to ensure we ship the best possible version of the product on time.

a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

Were looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions.
Youll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us.
What youll do:
Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.

About the Role
We are looking for a versatile and driven Mid-Level Product Manager to join our product team. In this role, you will bridge domain expertise in construction engineering and quality management with modern B2B SaaS methodologies.

You will have end-to-end ownership across the entire product lifecycle-from scaling, optimizing, and evolving our core enterprise platform to leading zero-to-one initiatives and feature development. Working closely with R D, QA, Sales, Customer Success, and executive leadership, you will help shape software solutions that drive real impact on large-scale construction and infrastructure projects.

What Youll Do
End-to-End Product Ownership: Define feature roadmaps, write clear product specifications (PRDs/user stories), and oversee execution from concept to release.

0-to-1 Scale: Lead new platform initiatives from discovery to launch, while cont

Were looking for a Senior Software Engineer, to design and build scalable, production-grade systems powering Sensis AI-native platform.
This is an AI-native engineering role- AI copilots and tools (such as Claude, Cursor, and Copilot) are a core part of how we design, prototype, and ship software. Engineers at Sensi use AI as a force multiplier to move quickly, iterate rapidly, and focus their time on architecture, system design, and complex problem solving.
Youll work across multiple services, platform infrastructure, and AI-driven capabilities, owning features end-to-end and helping bring intelligent healthcare products from concept to production.
Key Responsibilities:
AI-Native Development - Design and build scalable systems using AI copilots such as Claude, Cursor, and Copilot as a core part of the workflow.
AI-Powered Features - Develop and integrate AI-driven capabilities and pipelines into production systems.
End-to-End Ownership - Own features from architecture and development through deployment and monitoring.
Cloud Infrastructure - Build and operate scalable cloud-native systems on AWS.
Collaboration & Engineering Excellence - Work closely with Product, Data, and AI teams, contribute to architecture decisions, and help raise the technical bar across the team.

-Lead R D lab operations supporting large-scale broadband and networking environments.
-Lead and mentor the Lab Support team, including goal setting, KPIs, SLA management, prioritization, and professional development.
-Providing hands-on support for lab infrastructure installations and deployments when required.
-Architect, design, and maintain advanced networking infrastructures, including switches, routers, servers, and virtualization platforms.
-Lead deployment and support of new lab installations.
-Establish and maintain documentation standards across Confluence, Jira, Visio, and related systems.
-Lead automation and operational efficiency initiatives to improve scalability,
-Provide regular executive-level reporting on lab operations, project status, risks, and roadmap progress.
-Manage timelines, ETAs, and stakeholder expectations across multiple concurrent activities.

Required Senior Software Engineer - C/C++
Responsibilities:
Design, develop, and maintain production-grade software using C++ and Python.
Build modular, well-architected components following object-oriented design principles.
Optimize code for real-time and low-latency operation.
Collaborate with cross-functional teams to deliver end-to-end solutions.
Write clean, maintainable, and well-tested code.

Required Senior Backend Engineer
Responsibilities:
Architect a Centralized Platform: Design and develop a comprehensive, multi-purpose application that serves as the central hub for the company's robotic operations, fleet management, and performance analytics.
Develop Robot Control Interfaces: Build real-time control systems that allow engineers and operators to securely connect to the robots, visualize live sensory data, and directly command robot functionality via tele-operation.
Cross-Functional Integration: Collaborate closely with our AI, simulation, and hardware teams to ensure seamless data flow and integration between the physical robots, backend infrastructure, and user interfaces.

We are looking for an experienced BSP Software Engineer to join our Software Engineering group. In this role, you will take ownership of our Board Support Packages (BSPs) and be responsible for carrier board bring-up, device driver engineering and integration (including custom BSP adaptation), and managing the OS foundation for our perception, control systems, and core software. Additionally, you will partner closely with NVIDIA on integrating new hardware platforms. This is a senior-level individual contributor role.
Responsibilities:
Lead end-to-end bring-up of new carrier board revisions and customize third-party BSPs for carrier boards, including kernel, device tree, and peripheral driver development.
Develop, integrate, and maintain device drivers for cameras, IMUs, motor controllers, and custom hardware peripherals.
Diagnose and resolve complex driver issues spanning the hardware, kernel, and userspace boundary.
Collaborate closely with NVIDIA and external partners to drive new board integrations and architect next-generation platforms.

Required Backend Team Lead
Responsibilities:
Lead the SW Backend Team, responsible for scaling robotic operations, fleet management, and performance analytics.
Drive architectural decisions around scalability, reliability, performance, and observability.
Work closely with AI, simulation and parallel software teams to ensure cohesive development across the company.
Foster a culture of technical innovation, engineering excellence, and personal accountability.

Required PHP Backend Software Engineer
About the opportunity:
As a backend software engineer, youll become a valuable member of an innovative and fast-growing department, working in a truly Agile environment. You will build FinTech products that help our clients as well as our internal departments to expand our ecosystem and make an impact on our business daily.
We believe that developers should take full ownership of their work: from the initial feature planning phase alongside Product and Design; choosing the right technologies, designing the code and architecture; coding; PRing; and all the way to actual deployment in CI/CD environment, as well as post-deployment monitoring. It is all your responsibility.
Whether you enjoy writing complex business logic in the backend, take pleasure in writing clean and high-quality code, or tweaking infrastructure to perform well at scale, we encourage you to get your hands dirty end-to-end.
Collaborate with the rest of the engineering and product managers teams to design and launch new features end-to-end.
Our Stack:
PHP 7, Laravel, MariaDB, AWS, RabbitMQ, Docker, Elasticsearch, Redis, Linux.