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Glance

Senior Manager Applied Science - Recommendations

Glance · Bangalore

Posted about 3 months ago

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

Is this posting real?

This role has been open
79 days
Glance's roles stay open a median of 80 days
Reposted
No
Salary listed
No
12% of Glance's roles list one
Ghost-job risk at Glance
high
48 stale, 1 reposted of 49 open
Hiring momentum
58 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

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

About this role

As a Senior Manager of Applied Science at Glance, you will lead the vision and strategy for Commerce Intelligence, focusing on areas such as recommendation systems and brand affinity modeling. Your role involves managing a team of machine learning engineers, driving the implementation of machine learning models, and collaborating with various teams to enhance product offerings. You will also be responsible for defining metrics, ensuring data quality, and fostering a productive team culture.

Our read on this posting2.8out of 5
benefits
3/5
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 Glance as an employer.

What you need

  • PhD or Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, Economics, Analytics, or Data Science, or bachelor's with additional experience
  • 10+ years of ML related industry experience working on large-scale recommendation systems or personalization
  • 3+ years in a leadership role
  • Deep expertise in applied algorithms, models, and techniques for large-scale recommendation systems
  • Comfortable with software programming and statistical platforms such as Tensorflow, PyTorch, scikit-learn
  • Experience with distributed training technologies such as Apache Spark, RAPIDS, Dask, and MLOps stacks like Kubeflow or MLflow

Nice to have

  • Experience in e-commerce

What you get

  • Daily meals
  • Gym
  • Trainings
  • Tech tools
  • Regular unwind sessions
  • Pet-friendly office

Worth weighing

  • No salary listed
  • Focus on practical application of data science rather than theoretical knowledge
  • Emphasis on leadership and team management may require strong interpersonal skills

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

Listed by Glance on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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