Lead a team of ML engineers building notifications relevance systems at Reddit, focusing on recommender systems for personalization and user re-engagement. Requires 5+ years in large-scale ML and 2+ years managing engineering teams.
230k – 322k/yr
Remote5+ YOEEngineering Management
About the role
What You’ll Do
Lead the team that architects and designs notifications relevance at Reddit.
Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking.
Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges.
Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
Communicate your team’s work and set expectations with cross-functional stakeholders.
Help your engineers identify career goals and create development plans to achieve them.
Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.
You Have
2+ years of experience building and managing engineering teams.
5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems.
Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production.
Hands-on experience working with deep learning models, sequential features and real-time systems.
Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar.
Familiarity with reinforcement learning or multi-objective optimization in recommendation systems.
Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments.
Able to communicate and discuss complex topics with technical and non-technical audiences.
The Sales Manager will lead and develop a team of Account Executives, drive revenue performance, and shape go-to-market strategies. This role involves coaching AEs, managing pipelines, and collaborating cross-functionally to achieve sales excellence.
230k – 315k/yr
On-site5+ YOEEngineering Management
Engineering Manager - Forecasting & Scheduling
AssembledUnited States
Assembled is seeking an Engineering Manager for their Forecasting & Scheduling team to lead the development of algorithms and user experiences for workforce management in the AI era. This role involves setting technical direction, making product decisions, and partnering with cross-functional teams to deliver impactful solutions.
230k – 270k/yr
Remote5+ YOEEngineering Management
Engineering Manager - Forecasting & Scheduling
AssembledSan Francisco, CA
Lead the Forecasting & Scheduling team, setting technical direction for algorithms and UX that optimize staffing of human agents and AI. Partner with PM, design, ML engineers, and customers while balancing people leadership and deep technical problem solving.
230k – 270k/yr
On-siteEngineering Management
Engineering Manager
CardlessSan Francisco, CA
Leads a backend engineering team building high-scale payments and financial infrastructure systems. Requires engineering management experience in fintech, strong system design skills, and hands-on technical leadership with AI tooling integration.
230k – 300k/yr
On-siteEngineering Management
Engineering manager, cloud infrastructure
WatershedSan Francisco, CA +2
Leads the Cloud Infrastructure team, managing people, technical, and product aspects to scale multi-region GCP deployment. Requires 2-5 years engineering management, 8+ years total experience, and hands-on platform engineering with GCP.