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We are looking for a passionate Senior Data Scientist to join our all-star team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, results, marketing and data-oriented environment.

If you are experienced but still hungry to learn and impact - wed love to have you on our team!



What You'll Do:

Devise, initiate, manage and execute cutting edge exploration and exploitation projects.
Apply your knowledge of Data Science and algorithm development to create data solutions.
Analyze extremely large (petabytes) and diverse datasets to solve complex problems, and then develop algorithmic solutions to do it for you.
Proactively seek growth opportunities aligned with core KPIs.
Partner with other functions in the company, to support decision making.
Instant data gratification guaranteed!.

As our Senior Data Engineer you will handle Big Data in real time, and become the owner and gatekeeper of all data and data flows within the company. You will bring data ingenuity and technological excellence while gaining a deep business understanding.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, modern cloud, data-oriented environment.



What Youll Do:

Implement robust, reliable and scalable data pipelines and data architecture.
Own and develop DWH (Petabytes of data!).
Own the entire data development process, including business knowledge, methodology, quality assurance, and monitoring.
Collaborate with cross-functional teams to define, design, and ship new features.
Continuously discover, evaluate, and implement new technologies to maximize development efficiency.
Develop tailormade solutions as part of our data pipelines.
Lead complex Big Data projects and build data platforms from scratch.
Work on a high-scale, real-time, real-world business-critical data stores and data endpoints.
Implement data profiling to identify anomalies and maintain data integrity.
Work in a results-driven, high-paced, rewarding environment.

We are looking for a passionate Senior Infra Engineer to join our all-star team.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced results, marketing and data-oriented environment.

If you are experienced but still hungry to learn and impact - wed love to have you on our team!



On a typical day, you will:

Design, scale, and operate high-throughput, low-latency infrastructure supporting RTB bidders and ML prediction services at extreme scale (2Million+ QPS).
Own production GCP environments end-to-end, including deployment, monitoring, 99.999 uptime, incident response, and post-mortems.
Build and maintain infrastructure for massive data ingestion (up to 1TB per hour), continuous ML training pipelines, and real-time prediction systems.
Develop and evolve CI/CD pipelines, DevOps automation, and infrastructure-as-code practices.
Work closely with engineering and data science teams, taking full ownership from design through production and ongoing operations.
Continuously evaluate and introduce improvements to our infrastructure stack, tooling, and operational practices.

The Chief Information Security Officer will lead the companys global information security strategy and ensure the protection of systems, data, and infrastructure. This role oversees security governance, risk management, compliance, and incident readiness, while working closely with engineering, product, legal, MIS and other teams to embed security across the organisation and support customer trust and business growth.
Key Responsibilities
Develop and maintain the companys information security strategy, policies, and long-term roadmap. Both for production environments and for internal business by overseeing security of enterprise systems.
Lead security risk assessments, mitigation planning, and ongoing security monitoring.
Lead incident response planning, preparedness, and execution.
Manage security governance, including controls, documentation, and audit readiness.
Ensure compliance with relevant standards and regulations such as SOC 2, ISO 27001, GDPR, and emerging AI frameworks.
Direct security architecture reviews and support secure development practices across product and engineering teams.
Ensure security is integrated into engineering culture and delivery without hindering velocity, while aligning platform security with engineering practices and production resiliency requirements.
Oversee vendor security, penetration testing, and third-party risk management.
Serve as the primary security contact for customers, partners, auditors, and regulators, and own the security aspects of the companys products, in alignment with business and customers needs.
Provide regular updates to executive leadership on security posture, risks, and priorities.

Were looking for a Product Director to lead MediaFlows - owning the product end-to-end, from vision and strategy through execution and delivery.
This is a hands-on, individual contributor role with full ownership and accountability for the product. While the role may grow as the product scales, today it is designed for a senior product leader who is excited to stay close to customers, technology, and day-to-day execution.
This is a high-ownership role for someone who thrives in fast-moving, startup-like environments and is motivated to build and scale a product with strong technical foundations and meaningful business impact.
You will serve as the primary product owner for MediaFlows, working in close partnership with:
MediaFlows Development Manager (R&D execution and delivery)
MediaFlows Product Designer (UX and product experience)
Product leadership, GTM, Sales, and Customer-facing teams across our company
This role reports directly to our companys SVP of Product Management and requires a high degree of independence, ownership, and strategic judgment.
Responsibilities
Own the end-to-end product leadership for MediaFlows - including roadmap and execution- while ensuring alignment with our companys overarching vision and product strategy.
Define and evolve MediaFlows as a core part of our companys solutions, delivering value across our companys product portfolio (better together), while shaping the long-term path toward a standalone product.
Lead day-to-day product decision-making, prioritization, and trade-offs. Define success metrics and guide prioritization based on impact, value, and scale.
Partner closely with R&D leadership to translate direction into clear, executable plans and deliver high-quality outcomes.
Work in deep collaboration with Product Design to ensure features deliver exceptional user experience and real customer value.
Balance short-term execution with long-term platform, ecosystem, strategy, and competitive relevance thinking.
Engage directly with customers, prospects, and internal stakeholders to deeply understand use cases, pain points, and opportunities.
Position MediaFlows internally as a strategic product that enhances our companys overall value proposition.
Partner with GTM, Sales, Customer Success, and Marketing to support adoption, differentiation, deal expansion, and growth.
Continuously assess market trends, competitive landscape, and emerging technologies, including AI-driven workflows.
Act as the product authority and advocate for MediaFlows across our company.

Were hiring a technical Product Manager to own our companys ISV and ecosystem integrations - technical product work that sits at the intersection of partner engineering, our companys platform, and specific our company products. In this role you will be responsible for representing partner & customer needs internally, owning integration technical designs and roadmaps, and delivering and growing integrations via internal, outsourced and agentic development models. The PM will operate across both experimentation / prototypes and roadmap (operational integrations at scale) activities for specific ecosystems like CMS, PIM and MarTech.
Why this role matters
Ecosystem integrations are a strategic growth lever - enabling our company to be the single source of truth for media in the organization, and to generate repeatable ISV partner-led ARR. This role sits at the technical and commercial center of that motion: delivering partner integration experiences that both delight customers and create measurable revenue impact.

As a hybrid analyst-data scientist, youll partner closely with Customer Success, Professional Services, Training, and Support teams to deliver both advanced modelling, and foundational analyses. Youll uncover patterns, build models, and translate complete findings into clear, actionable recommendations that influence senior leadership decisions and improve Enterprise customer outcomes.
If you thrive on uncovering patterns in data, influencing high-level business strategy, and translating insights into measurable customer outcomes, this role is for you.
Responsibilities:
Work as part of a small Customer Success Insights and Operations team that leads data analysis, predictive insights and operational support to a growing CS team dedicated to the success of our customers.
Deliver actionable analyses and insights across key Enterprise CS OKRs, initiatives and growth experiments - leading 2-3 strategic projects per Quarter. These projects could be anything from churn analysis, expansion-likelihood modelling, behaviour clustering, to NPS sentiment and customer success plan performance.
Build, test and maintain predictive and statistical data models that identify risk, quantify revenue opportunities and prioritise CS actions at scale.
Support the creation of dashboards with our BI team that track customer health, renewal risk, and engagement impact across our enterprise accounts.
Design and analyse growth and expansion experiments to identify and scale opportunities for product adoption and usage expansion.
Partner with CS leadership to support MBRs/QBRs, operational reviews, and executive reporting.
Drive cross-functional collaboration with Product, Sales, and Marketing to ensure alignment on customer insights and opportunity areas.
Respond to specific internal CS requests to support customer retention and growth plays, delivering 5+ high-value analyses monthly that fuel CS OKRs and strategic decision-making.
Leverage statistical and analytical tools (e.g., SQL, Python, statistical / ML libraries as well as BI tools like Qlik) to model data, test hypotheses, and communicate recommendations with clarity and impact.
Explore and help operationalise the use of AI-tools like ChatGPT and Google Gemini to support analysis velocity, identify patterns and automate insights generation.
Champion data quality and governance, ensuring reliable and scalable data pipelines in partnership with MIS and Data Engineering teams.
Advise on KPI design and performance tracking for Enterprise CS metrics including NRR, GRR, churn, and adoption health scores.

Hands-On Backend and Infrastructure development
Design and implement features and end-to-end product modules
Ownership of a mission-critical component in the company
Continuously improve the software engineering skills of your team, research new technologies with emphasis on quality, scalability, and performance
Collaboration with various stakeholders (Product, Sales, etc.)

Hands-On Full Stack development (50%-50%)
Design and implement features and end-to-end product modules
Ownership of a mission-critical component in the company
Collaboration with various stakeholders (Product, Sales, etc.)

Our team is responsible for the data and data infrastructure that processes billions of records daily, driving critical business insights for both internal and external customers across the organization.
Our Data team consists of highly skilled senior software and data professionals who collaborate to solve complex data challenges. We process billions of records daily from multiple sources using diverse infra and multi-stage pipelines with intricate data structures and advanced queries, and complex BI.
A bit about our infrastructure. Our main databases are Snowflake, Iceberg on AWS, and Trino. Spark on EMR processes the huge influx of data. Airflow does most of the ETL.
The data we deliver drives insights both for internal and external customers. Our internal customers use it routinely for decision-making across the organization, such enhancing our product offerings.
What Youll Do
Build, maintain, and optimize data infrastructure.
Contribute to the evolution of our AWS-based infrastructure.
Work with database technologies - Snowflake, Iceberg, Trino, Athena, and Glue.
Utilize Airflow, Spark, Kubernetes, ArgoCD and AWS.
Provide AI tools to ease data access for our customers.
Integrate external tools such as for anomaly detection or data sources ingestion.
Use AI to accelerate your development.
Assures the quality of the infra by employed QA automation methods.

Join our R&D team as a Senior DevOps Engineer. Define and create operations tools and processes for a massively scalable system, backing 10,000s of the worlds busiest websites and apps, which will hopefully grow to become the media backbone for the whole Internet.
We offer a fun and supportive environment in which you will constantly learn and evolve, and where your ideas will be embraced and pursued.
Responsibilities:
Manage live production environments
Handle ongoing monitoring and troubleshoot failures
Provide architectural solutions for complex data and processing requirements involving large-scale systems and rapid growth
Manage live environment from server infrastructure all the way to applicative image management layers
Implement system monitoring procedures
Design & implement our systems network topology
Design, implement & develop various solutions according to R&D/Production needs
Work closely with R&D teams to enable delivering features to production
Be part of a 24/7 production support on-call rotation.

As the Senior Team Leader of the Accounts Team, you will lead the nerve center of our companys R&D. This team provides the essential platformic services - User Management, Authentication (SSO, SAML, OAuth), Authorization, and Notifications - that allow our product teams to focus on delivering world-class value to end-users.
You will be the guardian of our platform services, transitioning our stack from Ruby to Go, while leading a talented cross-functional team toward a culture of high performance, technical excellence, and massive impact.
What Youll Do
The Power Couple Partnership: Partner closely with a dedicated Product Manager to own the What and the How. Together, you are fully accountable for the teams roadmap, execution, and long-term vision.
Elevate the Standard: Inherit an existing team and build it into a high-performing engine. You will set the bar for what good looks like, coaching engineers, and make sure the team is pushing its limits.
Architectural Oversight: Guide the team through a critical technical area together with our architect. While you wont be coding daily, you will be in the weeds with your developers, challenging their designs, reviewing code, and ensuring the system is robust and secure.
R&D Influencer: Act as a leading voice beyond your team. You will collaborate with the Group Architect and peer TLs to ensure the Accounts platform scales with the companys vision, often serving as a consultant for other teams integration needs.
The Art of No: Manage a high volume of requests from across the organization (DevOps, CS, Product). You will use your exceptional communication skills to prioritize ruthlessly, managing expectations while maintaining strong relationships.

The Accounts team owns some of the most critical infrastructure at the core of our companys platform.
We are responsible for managing the main product Entities across all our company products.
Our work ensures secure and scalable access control, supports complex enterprise use cases, and powers internal systems relied upon by every team in the company. We collaborate closely with cross-functional teams including Product, platform, and Security to deliver reliable and high-impact solutions.
If youre passionate about building foundational backend systems that scale globally and support great challenges - this is the team to join!
As Part Of Your Role, You Will:
Contribute to architecting and strategy, design and develop highly-available management systems, with scalable distributed system considerations and APIs
Lead solutions for business application platform layer while keeping in mind robustness, security, and monitoring
Aim to be a focal point for company-wide source of knowledge
Lead by example, mentor peers, and ensure high standards of code quality
You will work with product managers and business partners to frame problems within the business and product context.

We are building a new Visual Moderation product inside our company. The team is small, fast, and operates in a startup-style independent environment while owning the full lifecycle from product definitions to operations, with meaningful impact, strong ownership, and the backing of a stable company with a fantastic people culture.
What You Will Do
Own and evolve the backend for a high throughput moderation platform
Design async pipelines and workflow systems
Handle large media volumes and multi tenant workloads
Run AI and ML inference pipelines at scale with a focus on cost and reliability
Ship iteratively while keeping long term quality in mind
Operate with high standards in testing, reliability, and observability.

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.
This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities
Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.
Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into our company services.
Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.
Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support