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Senior Engineering Manager, MLOps

Quince· Storefront Engineering
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Palo Alto, CA$268k - $300kFull-timePosted 7mo ago

About the role

Senior Engineering Manager responsible for building and scaling Quince's MLOps infrastructure, guiding ML lifecycle from development to production, and leading a high-performing team to industrialize AI at scale for a fast-growing e-commerce business.

Responsibilities

  • Define the MLOps Vision & Strategy: Architect a long-term roadmap that transitions ML workflows from manual scripts to a fully automated, self-service platform for all Quince Data Scientists and AI Researchers.
  • Own the "Paved Road" for Production: Build and maintain the end-to-end infrastructure for model training, deployment, and serving, ensuring researchers can move from "idea to production" with zero friction.
  • Drive Strategic Prioritization: Partner with business leaders to align infrastructure investments with core e-commerce drivers like real-time personalization, dynamic pricing, and inventory forecasting.
  • Lead "Build vs. Buy" Evaluations: Make high-judgment decisions on when to leverage cloud-native services (e.g., SageMaker, Vertex AI) versus building custom internal tools.
  • Guarantee System Scalability & Reliability: Oversee uptime and performance of production ML services, ensuring the stack can handle massive traffic surges and seasonal spikes.
  • Manage Compute Governance & Costs: Direct optimization of high-cost computational resources, balancing performance with fiscal responsibility.
  • Recruit and Mentor Top Talent: Build and lead a high-performing team of ML Infra and DevOps engineers, providing coaching and career development.
  • Establish MLOps Standards: Drive adoption of CI/CD for ML, IaC, and automated testing to ensure modular, maintainable systems.
  • Bridge the Research-Engineering Gap: Translate researchers’ needs into actionable engineering requirements for infrastructure.
  • Define and Track Velocity Metrics: Establish KPIs such as deployment frequency, MTTR, and infra cost per inference.
  • Champion Operational Excellence: Lead RCAs for production failures and prioritize systemic fixes.
  • Stay Ahead of the AI Curve: Monitor trends in LLM-ops, vector databases, and real-time feature engineering.

Qualifications

  • 10+ years of industry experience, with at least 3-5 years in a leadership role focused on ML Infrastructure, MLOps, or large-scale Data Platform engineering.
  • Proven track record of building and scaling MLOps platforms supporting full model lifecycle.
  • Deep technical expertise in cloud-native infrastructure (preferably AWS) and orchestration tools like Kubernetes (EKS), Docker, and IaC (Terraform/Pulumi).
  • Hands-on experience with ML frameworks such as PyTorch, TensorFlow, Kubeflow, or SageMaker, with ability to integrate into a cohesive developer experience.
  • Expertise in building/managing Feature Stores and high-throughput data pipelines (Spark, Flink, Kafka).
  • Experience partnering with AI Research and Data Science teams to translate research needs into engineering solutions.
  • Strong understanding of CI/CD for ML, including model testing, versioning, and blue-green/canary deployments.
  • Experience optimizing GPU utilization and cloud spend in a hyper-growth environment.
  • Operational leadership to drive service availability and stability via on-call rotations and RCAs.
  • Product-oriented mindset, treating infrastructure as a platform aligned with researcher velocity and business ROI.
  • Excellent communication and influence skills across engineering, product, and data science leadership.
  • Kindness and high standards; fostering psychological safety and extreme candor.

Skills

Required:ML Infrastructure leadershipMLOps platform developmentCloud-native infrastructure (AWS)Kubernetes (EKS)IaC (Terraform/Pulumi)ML frameworks (PyTorch, TensorFlow, Kubeflow, SageMaker)Feature Stores & data pipelines (Spark/Flink/Kafka)CI/CD for ML

Benefits

  • Not specified in the description.
Last updated Oct 7, 2026. Interested? Apply on the company site.
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About Quince

High Quality Essentials, Radically Low Prices

Quince brings luxury products like Mongolian Cashmere, Italian Leather, Turkish Cotton and Washable Silk to everyone at radically low prices. Shop premium essentials with no middleman.

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