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Quince

Sr. Engineering Manager, MLOps

Quince · Palo Alto, California, United States

Posted about 3 months ago

or apply directly on Quince's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Quince's roles stay open a median of 80 days
Reposted
No
Salary listed
No
21% of Quince's roles list one
Ghost-job risk at Quince
high
130 stale, 12 reposted of 134 open
Hiring momentum
216 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Quince's own greenhouse board since 2026-08-03. Full hiring picture for Quince.

About this role

The Senior Engineering Manager, MLOps at Quince will lead the development and scaling of the infrastructure that supports production-grade machine learning. This role involves defining the MLOps vision, building automated platforms for ML workflows, and ensuring system reliability and scalability. The manager will also prioritize technical roadmaps, mentor a team, and bridge the gap between AI research and engineering requirements.

Our read on this posting2.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Quince as an employer.

What you need

  • 10+ years of industry experience, with at least 3-5 years in a leadership or management role focused on ML Infrastructure, MLOps, or large-scale Data Platform engineering
  • Proven track record of building and scaling MLOps platforms that support the full model lifecycle
  • Deep technical expertise in cloud-native infrastructure (preferably AWS) and orchestration tools like Kubernetes, Docker, and Infrastructure as Code
  • Hands-on experience with ML frameworks and tooling, such as PyTorch, TensorFlow, Kubeflow, or SageMaker
  • Expertise in building and managing Feature Stores and high-throughput data pipelines
  • Experience partnering with AI Research and Data Science teams

What you get

  • Base salary range of $270,000 — $300,000 USD
  • Bonus and equity may also be provided for eligible roles

Worth weighing

  • No specific mention of remote work options or flexibility
  • Fast-paced environment may lead to ambiguity in role expectations
  • High level of responsibility and expectation for self-starters

Summarised from Quince's posting. Read the full original.

Listed by Quince on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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