FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Manager, Machine Learning Engineering, Data & Audience Platform
Warner Bros. DiscoverySenior Manager leading ML Engineering team in Hyderabad for Warner Bros. Discovery.
Tech Stack
Tools & technologiesAWSCloudPythonSparkSQL
About the role
Key responsibilities & impact- Directly manage 7 ICs (2× MLE 2, 3× Senior MLE, 1× Staff MLE, 1× Staff DS); own their performance, growth, and career development.
- Establish a high-performance engineering culture: technical excellence, ownership, psychological safety, rigorous experimentation, and continuous learning.
- Maintain sufficient technical depth to review ML architecture proposals, challenge design decisions, and unblock technical escalations across all workstreams.
- Own end-to-end delivery accountability for Hyderabad’s ML projects: scope, milestones, dependencies, risks, and stakeholder communication.
- Overseer ML Promo Optimizer, STAT v2, and segmentation that power advertising and marketing activation.
- Serve as the primary point of contact for the Hyderabad ML team across Product, Marketing, Ad Sales, Data Engineering, Legal/Privacy, and Finance.
Requirements
What you’ll need- 12+ years of total experience in ML, data science, or ML engineering, including 3–5+ years in engineering management.
- Demonstrated success leading and growing teams of ~6–12 ML engineers and/or data scientists, including a multi-level IC ladder (junior through Staff).
- Strong technical foundation in ML: you can read and critique model-architecture proposals, review ML code, and engage credibly in Staff-level discussions — you have personally built and shipped production ML.
- Hands-on (current or recent) experience with the ML stack: Python, Databricks/Spark, MLflow, cloud ML (AWS SageMaker preferred), and SQL/Snowflake.
- Proven track record delivering complex, multi-month ML projects in production at scale.
- Experience in a matrixed, global organization with cross-timezone collaboration.
- Excellent communication: translating technical complexity for executive and non-technical audiences, and business context for engineers.
- Bachelor’s or Master’s degree in Computer Science, Statistics, Engineering, or a related quantitative field.
Benefits
Comp & perks- A Great Place to work
- Equal opportunity employer
- Fast track growth opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata scienceML engineeringmodel architectureproduction MLPythonDatabricksSparkMLflowSQL
Soft Skills
team leadershipcommunicationtechnical critiquestakeholder managementcross-timezone collaborationpsychological safetycontinuous learningperformance managementcareer developmentrigorous experimentation
Certifications
Bachelor's degreeMaster's degree