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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

This is not a traditional, hands-off management role. You will be a hybrid builder, someone who started in frontend web development (HTML, CSS, JS) and has a sharp eye for conversion rate optimization (CRO) and design. You will work directly with performance marketing stakeholders, brand managers, and design teams to take brief requirements and personally build, code, and launch innovative landing pages directly inside our Sitecore CMS framework.

By aggressively utilizing cutting-edge AI generation tools, you will act as a force multiplier-rapidly executing layouts, copy variations, and functional tests on your own without waiting for central development queues.

Responsibilities
End-to-End Page Creation: Take a campaign brief from marketing or a concept from design and personally build, format, and publish the landing pages directly inside the CMS. You are the solo owner of the execution phase.
AI-Powered Assembly & Coding: Actively use modern AI tools to generate high-performing frontend code, write clean copy variations, and assemble layouts at lightning speed.
Cross-Functional Collaboration: Partner directly with Performance Marketing teams to understand campaign goals, and with Brand/Design teams to ensure every page is visually stunning and strictly compliant, all while optimizing for maximum conversion drop-offs.
Hands-on Front-End Customization: Know exactly when to build modularly using design system components for speed, inject raw optimized HTML/CSS for quick validation, or configure interactive elements for deeper user engagement[cite: 1, 2].
A/B Testing Implementation: Personally set up, deploy, and monitor multivariate tests down the funnel to continuously lift registration and first-time deposit metrics.

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).