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Designs and maintains secure CI/CD pipelines, establishes SSDLC and threat-modeling practices, implements automated compliance controls, conducts security assessments, and improves cloud-native security monitoring. The role also addresses AI-specific risks involving LLMs, agents, prompt injection, data leakage, model supply chains, and AI-assisted development. Partners with engineering teams to govern AI-powered development tools and drive cybersecurity initiatives.

Guide customers through onboarding and adoption of AI-powered advertising solutions. Analyze business needs, data, and technical constraints; define requirements, prepare technical specifications, troubleshoot Web and App SDK issues, create documentation, develop internal tools and scripts, analyze data, and communicate feedback to product and development teams. The role acts as a technical liaison among customers, stakeholders, developers, product teams, and project managers.

As an intern, you will help integrate and optimize products for customers, troubleshoot technical issues, and create documentation while ensuring precision in all processes.

Manage strategic EMEA advertising accounts, optimize campaigns against client KPIs, analyze performance data, present insights in QBRs, support MMP and SDK integrations, collaborate with internal teams, and drive upselling and retention.

Provides desktop and technical support for hardware, software, operating systems, mobile devices, networking, and AV systems. Responsibilities include employee onboarding and offboarding, workstation deployment, asset management, server-room and network-closet support, conference-room technology maintenance, ITSM ticket resolution, vendor coordination, and e-waste management. Requires at least three years of experience and expertise with Windows, macOS, networking fundamentals, Google Workspace, Microsoft 365, Active Directory, and endpoint management tools.

Own revenue retention and expansion across strategic EMEA advertising accounts. Develop account growth plans, manage executive client relationships, identify upsell and cross-sell opportunities, and provide technical consultation on attribution, incrementality, SKAN, MMP integrations, bidding, and measurement. Partner cross-functionally to optimize campaigns, resolve performance issues, maintain forecasting and pipeline discipline, and convert client insights into product, marketing, and internal strategy improvements.

Lead design and development of scalable backend services, own large projects, mentor engineers, improve observability/DevOps, perform performance tuning, and participate in on-call rotations to ensure reliability.

Analyze client and product data using SQL and Python, build predictive models, create automated Tableau or Looker dashboards, conduct A/B tests, ensure data governance, and translate findings into business solutions and product requirements. Collaborate with Product, Customer Success, Sales, and clients to identify pain points, validate insights, and support product-market fit.

The role involves developing and deploying LLM applications, collaborating with teams on ML problem definition, and ensuring model reliability post-deployment.

Build and maintain internal systems and automation on GCP, integrate APIs, and improve existing tools. Support non-engineering teams by reviewing code, resolving deployment and database issues, and making prototypes production-ready. Establish shared templates, Git, CI/CD, and deployment practices. Use AI coding agents extensively to build systems and design agentic workflows. Collaborate with business stakeholders to clarify requirements, assess risks, and propose practical solutions.