# Senior Manager, Engineering - Performance ML

**Company:** [Mntn](https://hotfix.jobs/companies/mntn)
**Location:** Remote
**Role:** Engineering Management
**Experience:** 5+ years
**Skills:** Machine Learning, Data Science, GCP, Ml Frameworks, Data Pipelining, Feature Engineering, Model Deployment, Data Architecture, Ad-Tech, Cloud Ecosystems
**Posted:** 2026-05-12

> Leads a team of ML and Data Engineers, defining the ML roadmap, overseeing model lifecycle from pipelining to deployment, and partnering with engineering and leadership to drive ad platform performance. Requires 5+ years engineering management in ML/Data Science and ad-tech experience.

## Job Description

## 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.

## Success Metrics

- Audit existing ML models and data pipelines to build a deep understanding of system behavior, performance drivers, and gaps.
- Identify and ship high-impact, production-ready improvements that deliver measurable performance or efficiency gains.
- Establish a rigorous, repeatable experimentation and deployment framework to accelerate model iteration and reliability.
- Define and execute a phased ML roadmap evolving from heuristic-based systems to advanced predictive models.
- Strengthen the team through trust-based leadership, skills assessment, targeted hiring, and structured development plans.

## 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.

## Perks

- 100% remote within the US
- Flexible vacation policy
- Annual vacation allowance for travel related expenses
- Three-day weekend every month of the year
- Competitive compensation
- 100% healthcare coverage
- 401k plan
- Flexible Spending Account (FSA) for dependent, medical, and dental care
- Access to coaching, therapy, and professional development

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