JAGGAER
B2B • Fintech • SaaS
JAGGAER is a leading provider of source-to-pay solutions that leverage AI to transform procurement into a strategic advantage for organizations. Their platform integrates various procurement processes, enabling businesses to manage supplier collaboration, spend analysis, and compliance efficiently. JAGGAER focuses on delivering sustainable sourcing and intelligent procurement solutions that drive value beyond cost savings across multiple industries, including education, healthcare, manufacturing, and finance.
Architect, Data Scientist, Data & AI
September 30
JAGGAER
B2B • Fintech • SaaS
JAGGAER is a leading provider of source-to-pay solutions that leverage AI to transform procurement into a strategic advantage for organizations. Their platform integrates various procurement processes, enabling businesses to manage supplier collaboration, spend analysis, and compliance efficiently. JAGGAER focuses on delivering sustainable sourcing and intelligent procurement solutions that drive value beyond cost savings across multiple industries, including education, healthcare, manufacturing, and finance.
📋 Description
• Architect and optimize scalable ingestion, ETL/ELT, and featurestore pipelines across OpenSearch, Snowflake, Redshift, and Redis • Design semantic layers and vector indexes (Pinecone, OpenSearch) to power RAG and Agentic AI workflows • Prototype, train, and evaluate predictive, prescriptive, and generative models in SageMaker and open-source frameworks • Implement experimentation pipelines (A/B, champion/challenger) and convert insights into platform features • Own CI/CD, monitoring, drift detection, and scalable inference for ML and LLM pipelines • Package models into reusable microservices with Terraform, Docker, and Kubernetes • Orchestrate multi-agent workflows (LangGraph, CrewAI) integrating with JAGGAER and third-party APIs • Partner with product and frontend teams to embed AI-driven insights into customer-facing applications • Deliver executive-level insights and storytelling via Tableau, Superset, Streamlit, or R/Python • Work inside the Chief Data & AI Office to influence next-generation Agentic AI architecture across the Source-to-Pay platform
🎯 Requirements
• Bachelor’s or Master’s in Computer Science, Statistics, Math, or Data Science • 10+ years designing and deploying production-grade ML or data engineering solutions • Proven mastery of Python (Pandas, PySpark, scikit-learn, TensorFlow/PyTorch) and SQL • Deep experience with at least two enterprise platforms: OpenSearch, Snowflake, Redshift, Redis, Pinecone, SageMaker • Strong grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics • Fluency with Linux, Git, CI/CD, Docker, and orchestration frameworks (Airflow, Prefect, Kubeflow, or Dagster) • Executive communication skills (brief senior leadership and board-level stakeholders) • Preferred: hands-on LLM fine-tuning, RAG pipelines, advanced prompt engineering • Preferred: Cloud deployment (AWS Bedrock, ECS/EKS, Azure, or GCP) • Preferred: Familiarity with procurement, supply chain, ERP, or IoT sensor data • Preferred: Contributions to open source, publications, or notable hackathon wins
🏖️ Benefits
• exceptional medical, dental & vision plans • adoption assistance • wellness reimbursements • generous parental leave • 401(k) matching • flexible work options • unlimited vacation for exempt employees • competitive compensation
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