Manager, Software Development

About the role

Anaplan is seeking a strong Tech Lead to join our Predictive Insights team - the group responsible for designing, building, and operating the machine learning systems that deliver classification-driven intelligence across Anaplan's Connected Planning platform. In this role, you will serve as the technical authority for a cross-functional squad of Backend, Frontend, and QA engineers, guiding everything from model design and data engineering to production deployment and observability. You will own the end-to-end lifecycle of classification models and ML pipelines: from prototyping in Python and feature-store integration, through containerised deployment on Kubernetes, to real-time serving backed by Redis and MongoDB. As a hands-on leader you will set architectural standards, mentor engineers at all levels, and work closely with Product and Data Science to translate customer needs into reliable, scalable predictive capabilities.

Responsibilities

• Technical Leadership
• Lead the design, development, and deployment of production-grade ML pipelines for classification tasks - including binary, multi-class, and multi-label models.
• Define the end-to-end ML lifecycle: data ingestion, feature engineering, model training, evaluation, deployment, and continuous monitoring.
• Establish coding standards, design-review practices, and engineering excellence benchmarks for the team.
• Drive architectural decisions across the full stack, including Python services, containerised workloads on Kubernetes, and data-layer integrations with MongoDB and Redis.
• Conduct rigorous code reviews and technical deep-dives, ensuring quality, performance, and security across all layers.
• Team Leadership & People Management
• Manage and mentor a diverse team comprising Backend Engineers, Frontend Engineers, and QA Engineers, adapting leadership style to each discipline.
• Own individual growth plans, performance feedback cycles, and career development conversations for direct reports.
• Foster a culture of psychological safety, continuous learning, and technical curiosity across a geographically distributed team.
• Partner with Engineering Managers and cross-functional leads to balance workloads, remove blockers, and maintain delivery velocity.
• Actively recruit, interview, and onboard strong engineering talent in India.
• ML Pipelines & Classification Models
• Architect and maintain scalable ML pipelines - from raw data processing through to model serving - using Python-first tooling (scikit-learn, XGBoost, LightGBM, PyTorch).
• Own model selection, hyperparameter tuning, cross-validation strategies, and performance benchmarking for classification workloads.
• Integrate feature stores and ensure reproducible, version-controlled experiments using tools such as MLflow or similar.
• Define and enforce model monitoring, drift detection, and retraining policies in production.
• Collaborate with Data Scientists to operationalise research prototypes into robust, maintainable services.
• Infrastructure & Platform
• Lead adoption of Kubernetes (k8s) best practices: pod design, resource management, horizontal scaling, health checks, and rolling deployments for ML services.
• Design and optimise data access patterns in MongoDB (document modelling, indexing, aggregations) and Redis (caching strategies, pub/sub, and session management).
• Work with DevOps/Platform teams to maintain CI/CD pipelines, containerisation standards, and cloud infrastructure (AWS, Azure, or GCP).
• Ensure high availability, fault tolerance, and performance SLAs for prediction-serving APIs.
• Cross-Functional Collaboration
• Partner with Product Management to define technical roadmap and translate business requirements into engineering plans.
• Collaborate with the QA lead to design comprehensive test strategies - unit, integration, and model validation - covering both software and ML components.
• Interface with Frontend Engineers to speci

Benefits

Additional Information

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!

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