Jobs at Digital Turbine

Reviews and adjudicates advertiser fraud claims using SQL and Databricks, maintains fraud detection criteria, and reports fraud trends. Oversees an outsourced customer support team, monitoring SLAs, quality, costs, and ticket resolution. Identifies process improvements, explores AI-assisted support tooling, and partners with Product, Data, and Sales teams on Offerwall product and policy decisions. Periodic travel is required.

Drive the adoption of Digital Turbine's mobile advertising solutions in Indonesia, managing revenue targets, agency relationships, and market positioning.

The Sales Director will drive revenue, manage strategic agency partnerships, promote Digital Turbine's mobile advertising solutions, and ensure market visibility in Singapore and Malaysia.

Drive revenue through managed and programmatic sales; prospect and secure new advertising campaigns; build and deepen client relationships; forecast and report sales performance; collaborate with client services, ad operations, and internal teams to retain and grow business.

Lead and evolve the global SOC: design and operationalize cloud threat detection and automation across GCP/AWS, manage MSSP relationships, lead incident response and hunting, tune SIEM/SOAR and endpoint/cloud tools, run exercises and track SOC metrics, and mentor teams to improve security posture and compliance.

Manage onboarding and ongoing account relationships for advertiser partners, optimize and analyze mobile ad campaign performance, troubleshoot technical issues, collaborate with Media, Sales, and Tech teams, and deliver reporting and strategic recommendations to drive revenue and client satisfaction.

Manage a book of strategic mobile publisher accounts across Russian-speaking EMEA markets: onboard, integrate, optimize monetization, drive growth and upsells, deliver performance insights, resolve technical and business issues, and coordinate cross-functional teams to maximize publisher revenue and retention.

Manage onboarding and ongoing relationships with advertiser partners, optimize and analyze mobile ad campaign performance, troubleshoot technical issues, collaborate with Media, Sales, and Tech teams, and drive revenue and client satisfaction.

Build and harden high-performance Android SDKs and on-device services, reduce install/delivery failures, partner with OEMs/carriers, own full lifecycle (instrumentation, rollout, monitoring, on-call), mentor engineers, and improve reliability, footprint, battery, and security.

Design, build, and deploy large-scale ML systems for ad ranking, bid optimization, and recommendations. Build and operate production ML pipelines (feature engineering, distributed training, deployment, retraining, monitoring) that process billions of events and serve low-latency predictions. Optimize training and inference for compute and cost efficiency. Partner with Data Science, Data Engineering, and product teams to ship models, run online experiments, and measure CTR/CVR/ROI impact. Incorporate applied ML research and techniques into advertising and audience modeling.

Lead data science efforts to design experiments, build statistical and ML models (segmentation, bidding, LTV, attribution), develop time-series and real-time analyses, productionize models with engineering, and communicate results to guide product and commercial strategy.

Design and implement full-stack features for campaign management, reporting, and marketplace optimization. Build scalable back-end services and APIs, craft responsive front-ends, own services in production (testing, observability, on-call), collaborate with product and pods, and mentor engineers to raise standards.

Design, build, and harden high-performance Android SDKs and on-device services. Improve install/delivery reliability, partner with OEM/carrier teams, own lifecycle (monitoring, rollouts, on-call), and mentor engineers while focusing on footprint, battery, security, and production reliability.

Build full-stack features for campaign management, reporting, and marketplace optimization. Design back-end services and APIs, optimize for low-latency and high throughput, own services in production (testing, observability, on-call), collaborate with product and stakeholders, and mentor teammates to raise engineering standards.

Design, build, and operate large-scale distributed systems and data platforms. Drive GitOps/ArgoCD and unified CI/CD adoption. Build Kubernetes-based infrastructure (including Spark-on-K8s, Databricks). Implement MLOps and data-pipeline capabilities. Champion observability, automation, and cost optimization. Participate in on-call, lead incident response, and run blameless postmortems.

Design, build, and operate large-scale distributed and data platforms. Lead GitOps/ArgoCD and unified CI/CD adoption, build Kubernetes and Spark-on-K8s infrastructure, enable MLOps and data pipelines, champion observability and cost optimization, run on-call and incident response, and drive platform standardization across teams.

Design and build full-stack features and APIs for campaign management, reporting, and marketplace optimization. Work across front-end and back-end, owning services in production (testing, observability, performance, on-call). Collaborate with product leads, contribute to system design, mentor teammates, and raise engineering standards through automation and code review.

Design, build, and operate large-scale distributed systems and data platforms. Drive GitOps/ArgoCD and unified CI/CD standardization. Build Kubernetes-based infrastructure (including Spark-on-K8s and Databricks), implement MLOps and data-pipeline capabilities, improve observability, automation, and cost-efficiency, and participate in on-call rotations and incident response.

Build, harden, and operate high-performance Android SDKs and on-device services; reduce install/delivery failures; partner with OEMs/carriers; own full lifecycle including instrumentation, monitoring, A/B experiments, rollouts, and on-call; mentor engineers and improve code quality and testing.

Design and implement full-stack features from responsive front-ends to scalable back-end services and APIs for campaign management, reporting, and marketplace optimization. Own services in production (testing, observability, performance, on-call), collaborate with product stakeholders, mentor teammates, and drive system design and backend optimization for high-throughput, low-latency environments.