Senior Manager, AI Engineering

About the Role 

Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform. 

Key Responsibilities 

• Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence. 

• Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy. 

• Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP). 

• Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance. 

• Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions. 

• Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities. 

• Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions. 

Required Qualifications 

• Proven experience leading AI/ML teams in a SaaS or enterprise software environment. 

• Deep expertise in time series forecasting and machine learning. 

• Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP). 

• Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures. 

• Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. 

• Experience with agentic frameworks and autonomous agent architectures. 

• Proficiency in Python and modern software development practices (testing, code review, CI/CD). 

• Proven track record of delivering complex technical projects on time with high quality. 

• Excellent communication, collaboration, and stakeholder management skills. 

• Track record of delivering impactful AI solutions in a fast-paced, agile environment. 

Preferred Qualifications 

• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field. 

• Experience with large-scale data processing frameworks like Spark. 

• Familiarity with the challenges of applying AI in enterprise planning or financial domains. 

• A portfolio of published research or contributions to open-source AI projects.