Engineering Manager, Data Platform New

MNTN, Inc.; Northern (KY); Hybrid; USD 180,000 - 230,000; Full time

Job summary

MNTN is seeking an Engineering Manager to lead the Data Platform team, partnering with a Staff Engineer to define roadmap and deliver high‑leverage tools for internal customers. This hands‑on leadership role keeps you close to code, influences architecture, and grows a high‑performing team focused on reliability and scale within a fast‑growing advertising tech company.

If you are passionate about data infrastructure and building self‑serve platforms that empower data engineers, analysts, and

Qualifications

• 7+ years of software engineering experience.
• 2+ years leading teams or projects.
• Experience building internal platforms or developer tools in data‑intense environments.
• Strong grasp of data infra: Airflow, Dagster, BigQuery or Snowflake, Kafka, SQLMesh.
• Proficiency with AWS or GCP, containers, and Infrastructure as Code.
• Ability to lead cross‑functional workstreams and translate user needs into platform capabilities.
• Product mindset focused on solving real user problems.

Responsibilities

• Lead the Data Platform team in designing, building, and maintaining core infrastructure and tooling.
• Partner with the Principal Engineer to define the team’s technical roadmap and architecture.
• Collaborate with data science, analytics, product, and engineering teams to shape platform features.
• Ensure high reliability, scalability, and observability of the data platform, including governance.
• Establish and enforce best practices for data engineering and platform development.
• Provide hands‑on technical leadership: engage in design reviews and contribute code as needed.
• Hire, coach, and develop engineers, fostering ownership and continuous improvement.
• Manage communication around the platform roadmap and priorities to stakeholders.

Skills

Software engineering

Team leadership

Cross-functional

Hands-on leadership

Product mindset

Stakeholder communication

Tools

Airflow

Dagster

BigQuery

Snowflake

Kafka

SQLMesh

AWS

GCP

Containers

Infrastructure as Code

Job description

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 2026.)

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.

The Data Platform team builds the foundational data infrastructure and tooling that empowers data engineers, analysts, and data scientists across MNTN. The team owns the internal data platform as a product: enabling high‑quality, self‑serve, and scalable data workflows through well‑designed systems and strong engineering practices, covering everything from ingestion and transformation to orchestration, observability, and governance.

We're looking for an Engineering Manager to lead the Data Platform team, working closely with a Staff Engineer to define the roadmap, coordinate execution, and ensure the team delivers high‑leverage tools and systems for its internal customers. This is a hands‑on engineering leadership role. The ideal candidate stays close to the code, contributes to key projects, and sets a strong technical bar while supporting and growing a team of engineers.

What you’ll do

• Lead the Data Platform team in designing, building, and maintaining core infrastructure and tooling to support analytics, data science, and data engineering workloads.
• Partner with the Principal Engineer to define the team’s technical roadmap and architecture.
• Collaborate cross‑functionally with data science, analytics, product, and engineering teams to understand use cases and shape platform features accordingly.
• Ensure high reliability, scalability, and usability of the data platform—covering areas like data ingestion, transformation, orchestration, observability, and governance.
• Establish and enforce best practices for data engineering and platform development.
• Provide hands‑on technical leadership: participate in design discussions, conduct code reviews, and contribute code as needed.
• Hire, coach, and develop engineers, fostering a culture of technical excellence, ownership, and continuous improvement.
• Manage communication around the platform roadmap, priorities, and ongoing work to stakeholders across the business.

What success looks like

• A self‑serve data platform that internal teams trust and adopt without heavy hand‑holding
• Reliable, well‑governed data infrastructure with strong observability and low incident rates
• Clear technical roadmap, delivered predictably in partnership with the Staff Engineer
• A growing, high‑performing team with strong engineering practices and technical ownership
• Strong stakeholder confidence in the platform’s direction and reliability

What you’ll bring

• 7+ years of software engineering experience, including 2+ years leading teams or projects.
• Demonstrated experience building internal platforms or developer tools, ideally in a data‑intensive environment.
• Strong understanding of modern data infrastructure: orchestration (e.g. Airflow, Dagster), warehousing (e.g. BigQuery, Snowflake), streaming (e.g. Kafka), and transformation tools (e.g. SQLMesh).
• Proficiency with cloud infrastructure (AWS or GCP), containers, and infrastructure‑as‑code.
• Ability to lead cross‑functional workstreams and translate user needs into robust platform capabilities.
• A product mindset, focus on solving real user problems, not just building technology.
• Willingness to be hands‑on and contribute technically while building a high‑performing team.

About MNTN

Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike—you’re waiting to climb a MNTN.

MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct‑response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.

Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go‑live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University.