Senior Manager, Engineering

MNTN

4d•Remote

About The Position

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2025.) We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/. We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great. So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth. We are seeking a visionary, execution-oriented Senior Manager, Machine Learning to lead our Performance ML squad. In this role, you will drive the strategy, development, and deployment of our core predictive models powering our ad buying platform. As we continue to scale our proprietary ad-tech infrastructure, you will be the crucial bridge between advanced data science and robust software engineering. You will not only shape the technical roadmap but also act as a dedicated mentor and advocate for a team of highly skilled engineers.

Requirements

6+ years of experience in Machine Learning, Data Science, with 5+ years specifically in an engineering management role overseeing ML/Data teams.
Proven track record of building, deploying, and maintaining models at scale, ideally within ad-tech.
Deep understanding of modern ML frameworks, data architecture, and cloud ecosystems (e.g., Google Cloud Platform). While you won't be coding daily, you need the technical chops to guide architectural decisions and review system designs.
Exceptional communication skills. You must be able to distill and present complex, highly technical ML concepts to non-technical stakeholders and executive leadership effectively.
Genuine passion for team building. You take pride in clearing roadblocks, upskilling your team, and building an environment where top-tier engineers thrive.

Responsibilities

Manage, mentor, and scale a high-performing team of Machine Learning and Data Engineers. Foster a culture of technical excellence, providing clear career progression paths for all team members.
Define the ML roadmap in alignment with broader product and engineering goals. Translate complex business challenges into scalable, actionable data solutions.
Oversee the end-to-end lifecycle of ML models from robust data pipelining and feature engineering to deployment, monitoring, and iteration in high-volume, low-latency environments.
Partner tightly with Software Development teams, Program Management, and executive leadership.
Bring strong organizational skills to streamline workflows, manage technical debt, ensure data quality, and guarantee the reliable, on-time delivery of data products.