Jobs at Digital Turbine

Lead the architecture, development, deployment, and optimization of production machine learning systems and data pipelines. Establish MLOps standards, monitoring, and infrastructure practices; solve complex technical challenges involving distributed training, feature stores, scalable inference, and model reliability. Collaborate with product, engineering, DevOps, security, and executive stakeholders while mentoring machine learning engineers and aligning technical roadmaps with business goals.

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.

Advise Digital Turbine on global privacy and data protection matters across products, engineering, partnerships, advertising operations, and commercial deals. Responsibilities include privacy-by-design guidance, data processing agreements, international data transfers, compliance programs, privacy notices, breach response, regulatory inquiries, data subject rights, and stakeholder training. The role also negotiates privacy terms, tracks evolving laws, and develops scalable privacy processes and playbooks.

Lead backend architecture and development of scalable, fault-tolerant, low-latency microservices and APIs. Optimize algorithms, concurrency, throughput, and memory usage across distributed systems. Own production reliability through telemetry, tracing, failover, and performance tuning. Establish architectural standards, mentor engineers, conduct technical reviews, and collaborate with product, architecture, and data teams. The role requires polyglot backend expertise, relational and NoSQL data experience, event-driven systems knowledge, and strong technical leadership.

Leads data science strategy across Digital Turbine’s mobile advertising marketplace. Designs experimentation frameworks, causal inference methodologies, and production machine learning models for bidding, audience segmentation, lifetime value, attribution, forecasting, and recommendations. Partners with engineering on deployment and monitoring, establishes scalable data science standards, mentors scientists, and communicates technical insights to executives. Requires extensive experience in data science or machine learning, advanced statistical expertise, cloud-scale data processing, and cross-functional technical leadership.

Lead product marketing strategy for a mobile advertising portfolio, including market research, positioning, commercialization, go-to-market operations, product launches, sales enablement, customer proof points, and lifecycle optimization. Partner cross-functionally with Product, Engineering, Sales, Partnerships, Research, and Marketing to align product strategy with customer and commercial needs. Mentor teammates and improve scalable PMM processes, frameworks, and execution quality.

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

Primary contact for Japanese app publishers to manage and grow monetization through account management, revenue optimization, troubleshooting with product/support, educating on Waterfall/Bidding/Hybrid setups, tracking performance metrics, identifying upsell opportunities, and relaying market feedback to global teams.

Build and operate full-stack features for campaign management, reporting, audience tooling, and marketplace optimization. Develop responsive front ends, scalable back-end services, APIs, and data models while solving high-throughput, low-latency problems. Own production quality through testing, observability, performance optimization, and on-call support. Collaborate with product stakeholders, contribute to technical decisions, mentor engineers, and improve engineering standards.

Lead EMEA publisher account management and revenue growth across strategic game and non-gaming publisher accounts. Manage and develop regional teams, drive retention, expansion, monetization, and cross-sell initiatives, and serve as an executive escalation point. Partner with Sales, Product, Tech Ops, Business Operations, and Demand teams on publisher growth, product priorities, and client challenges. Represent the company at industry events and provide market insights to senior leadership.

Own strategic OEM partnerships for Digital Turbine’s Ignite platform, including commercial terms, revenue forecasting, device deployment, integration and certification, consumer experience, consent and compliance, and account expansion. Coordinate cross-functional teams, diagnose technical and revenue funnel issues, manage escalations, negotiate renewals, and defend the platform against competitors. The role requires OEM or Android ecosystem experience, technical fluency, commercial modeling, analytical ability, strong communication, flexible hours, and travel for partner reviews and launches.

Owns weekly revenue and gross profit forecasting, annual operating plan development, rolling 12-month planning, and complex financial modeling for the on-device business. Partners with commercial, operations, BI, and executive teams to build business cases, validate dashboards, deliver executive reporting, analyze actuals, and translate complex financial data into strategic insights.

Owns strategic intelligence and ecosystem monitoring across mobile, ad tech, AI, competition, regulation, and public markets. Partners with the Chief Strategy Officer and senior leaders to synthesize insights, shape corporate, product, partnership, and go-to-market strategies, and support executive decisions. Builds innovation and incubation frameworks, uses AI to prototype products, and connects successful concepts to product execution. This hands-on role requires strong cross-functional influence, technical fluency, and executive communication.

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.

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.

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.

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.

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 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 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.