Senior Manager, AI Engineering

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! About the Role We are building the next generation of AI-powered Enterprise Planning. We are looking for an exceptional Predictive AI & Forecasting Engineering leader who combines deep expertise in software engineering, forecasting, machine learning, optimization, and distributed systems . This is not a traditional Data Scientist or GenAI role. We are seeking a software engineer first who has architected, built, deployed, and scaled production-grade Predictive AI platforms powering enterprise decision-making. The ideal candidate has experience building intelligent planning systems for Finance, Supply Chain, Sales, Workforce, Operations, and Enterprise Planning, capable of serving millions of predictions with high availability, low latency, and enterprise-grade reliability. What You'll Do Architect and build enterprise-scale Predictive AI platforms from the ground up. Design highly scalable forecasting engines supporting millions of predictions. Develop distributed machine learning systems for batch and real-time inference. Build autonomous forecasting pipelines with continuous learning and automated retraining. Design reusable AI platforms, feature stores, model registries, and inference services. Build production-ready AI microservices with enterprise-grade reliability. Improve forecast accuracy using statistical, machine learning, and deep learning techniques. Design optimization engines supporting planning and decision intelligence. Partner with Product, Data, and Engineering to deliver next-generation AI capabilities. Drive architecture, code quality, engineering excellence, observability, and operational maturity. Mandatory Software Engineering Expertise Candidates must have significant hands-on software development experience building large-scale production systems. Languages Python (Expert) Java / Scala / Go SQL Software Engineering Object-Oriented Design SOLID Principles Design Patterns Clean Architecture Domain Driven Design Distributed Systems Microservices Architecture REST & gRPC APIs Event-Driven Architecture Multi-threading & Concurrency Asynchronous Programming High-throughput, Low-latency Systems Data Structures & Algorithms System Design Performance Engineering Secure Coding API Security Cloud & Platform Engineering AWS / Azure / GCP Docker Kubernetes Kafka Spark / PySpark Airflow Databricks Delta Lake Iceberg Snowflake Redshift BigQuery Azure Synapse DevOps / MLOps CI/CD Infrastructure as Code MLflow Kubeflow SageMaker Vertex AI Azure ML Feature Store Model Registry Automated Retraining Model Monitoring Drift Detection Experiment Tracking A/B Testing Canary Deployment Rollback Strategies Observability Prometheus Grafana OpenTelemetry ELK Splunk Forecasting & Predictive AI Expertise Classical Time Series ARIMA SARIMA SARIMAX VAR Prophet Holt-Winters ETS TBATS Croston Theta STL MSTL State Space Models Dynamic Linear Models Bayesian Structural Time Series Gaussian Processes Kal…