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we are looking for a Data Operations Team Lead.
The Data Engagement team is the connective link between GTM and R&D/Product organizations. The team leads customer and prospect data initiatives using internal tools, and drives product improvements based on patterns and issues analysts identify in their day-to-day work.
What you'll do:
Own execution of the team's initiatives - ensuring efforts are properly resourced, tracked, and delivered within required timeframes.
Play a key role in prioritizing data resources across company-wide efforts, working closely with stakeholders across R&D, Product, Customer Success, and Sales.
Lead and develop a multidisciplinary team of highly skilled analysts.
Build strong partnerships with Product and CS leaders, acting as their trusted data advisor to help achieve shared business objectives.

we are looking for a Mgr, Software Engrg Mgmt.
As a Software Engineering Team Lead for our core product, AMS, you will lead the full-stack
engineering team responsible for the central platform used directly by all our enterprise customers.
AMS is a key business driver and one of our most impactful and revenue-generating products.
In this role, you will lead a dedicated team that works hand-in-hand with Product Management to
deliver new feature initiatives, maintain high product quality, and drive overall system stability. You
will act as a key technical leader, mentor, and hands-on contributor - owning architectural decisions,
feature execution, on-call processes, and practical solutions that help our customers get the
absolute most out of the product.
We are looking for a sharp, proactive leader with strong organizational skills, high learning agility,
and a passion for technology. If you thrive on taking ownership, making clear technical decisions,
and staying close to both the code and the product - this role is for you.
Job Description:
Team Leadership & Ownership: Mentoring and guiding a full-stack engineering team,
fostering a culture of ownership, high engineering standards, and continuous growth.
Product Collaboration: Partner closely with Product Managers to align on roadmap goals,
translate business needs into scalable architectures, and turn product vision into clean,
robust code.
Architecture & Hands-On Delivery: Drive architectural clarity and best practices across our
Python backend, React frontend, and PostgreSQL data layer. Balance hands-on coding, design
reviews, and code quality with execution management.
Operational Excellence: Oversee platform reliability, performance, monitoring, and incident
management using modern observability tools.
Customer Value & Continuous Optimization: Lead initiative-driven maintenance and
enhancements to help existing enterprise clients derive maximum value from the AMS
platform.
Modern Engineering & AI: Champion organized workflows and leverage modern tooling
(including AI-assisted development) to drive team efficiency and innovation

were looking for a passionate Tech Lead to join our collaborative team.

Youll be at the forefront of innovation-designing scalable solutions, guiding architecture, and driving technical excellence as we deliver world-class experiences to millions of sports fans around the globe.

Responsibilities
Design robust APIs and services for a vast user base
Architect and guide performance optimization, security, and scalability strategies
Analyze and process large datasets in near real-time to deliver insight
Oversee data pipelines that power real-time push notifications for a global user base
Provide a technical specification for complicated features
Support development team, delegate tasks, and resolve technical blockers
Perform code reviews to ensure best practices are followed and offer constructive feedback for continuous improvement.
Ensure high code quality, maintainability, and test coverage (unit/integration tests)
Own the delivery of releases all the way to production
Help manage hiring process and onboarding of developers

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.

we are looking for a Clinical Data Labeler.
The Clinical Data Labeler contributes significantly to the training of our AI models, which aim to enhance the quality of life for senior citizens. This position involves meticulously tagging and classifying textual data based on clinical and technical criteria to ensure high-quality AI training datasets.
Key Responsibilities:
Review and analyze clinical textual data, including speech and other relevant sounds.
Accurately tag and classify textual data using clinical and technical criteria.
Collaborate with the AI team to refine and improve labeling guidelines.
Communicate regularly with the team to report challenges, suggest improvements, and ensure consistent data labeling.
Maintain a high level of attention to detail to ensure quality and accuracy in data labeling.

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.