Machine Learning Engineer
Develop and maintain machine learning models that influence production decision-making and business outcomes. Build and scale efficient ML pipelines for real-time and batch processing while monitoring model performance.
Develop and maintain machine learning models that influence production decision-making and business outcomes. Build and scale efficient ML pipelines for real-time and batch processing while monitoring model performance.
Design, build, and operate high-throughput, low-latency services responsible for ad serving and real-time bidding logic. Collaborate with machine learning engineers to productionize model architectures and optimize GPU-powered inference pipelines.
The role involves managing recurring revenue reporting, variance analysis, and executive-level KPI presentations to support business decision-making. You will also partner with sales and operations teams to maintain financial infrastructure and provide analytical insights into revenue performance.
The Product Manager will lead the zero-to-one development of a new e-commerce advertising platform, managing strategy, business cases, and the product roadmap. They will collaborate with engineering, machine learning, and go-to-market teams to drive performance, define success metrics, and ensure successful product scaling.
You will design and build end-to-end generative AI products, moving rapidly from prototyping to production-ready intelligent systems. You will also partner with cross-functional teams to integrate AI agents into workflows and develop instrumentation to measure performance, quality, and business impact.
You will own the end-to-end technical lifecycle for partner integrations and translate complex business requirements into scalable technical solutions. Additionally, you will collaborate across teams to troubleshoot issues and refine Liftoff products based on partner feedback.
You will design, implement, and optimize technical solutions for top-tier partners while managing the end-to-end lifecycle of partner integrations. Additionally, you will collaborate with internal teams to troubleshoot issues and refine products based on direct partner feedback.
The Senior Manager will coordinate the quarterly earnings process and draft essential investor communications including press releases and scripts. They will also build core IR infrastructure, conduct peer benchmarking, and manage logistics for investor conferences and roadshows.
The Product Analyst will scope and execute data analyses to inform product decisions and monitor key success metrics for the machine learning platform. They will also design A/B tests, build performance dashboards, and collaborate with cross-functional teams to ensure data quality and actionable insights.
The International Tax Manager will oversee non-US tax compliance, financial reporting, and tax forecasting across the company's global footprint. They will lead cross-functional tax projects, manage third-party service providers, and ensure alignment with organizational goals through quantitative insights.
Own recurring revenue reporting, variance analysis, and the preparation of executive materials for the Board and Senior Leadership Team. Partner with GTM and Sales Operations to manage sales targets and the commercial commission review process.
Build statistical models and production systems to optimize advertiser performance and business goals within the mobile ad tech marketplace. Design and execute experiments to validate economic theories and develop applications for budget retention and bidding innovation.
Own the day-to-day operation of the SIEM and lead the adoption of AI-augmented SOC tooling. Triage security alerts, lead incident response efforts, and build automation to reduce manual investigation toil.