MNTN Logo

MNTN

Engineering Manager, Data Platform

Posted 3 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
Lead the Data Platform team in building reliable, scalable infrastructure and developer tooling for data engineering, analytics, and data science. Define the technical roadmap with engineering leadership, guide architecture and best practices, contribute hands-on through design reviews and coding, and partner cross-functionally to shape platform capabilities. Hire, coach, and develop engineers while managing stakeholder communication and delivery of self-service, observable, and governed data systems.
The summary above was generated by AI

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.

#LI-Remote

Similar Jobs

Yesterday
Remote or Hybrid
181K-317K Annually
Senior level
181K-317K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads a team of 6–10 engineers building and operating cloud-native platform services. Owns hiring, coaching, delivery, roadmap, reliability, scalability, SLOs, on-call practices, and technical direction across hyperscaler, on-premises, and sovereign environments. Partners with senior engineering stakeholders, reviews designs and code, contributes to architecture and implementation, and communicates risks and trade-offs to leadership. Requires extensive production software experience, Kubernetes and distributed systems expertise, people management experience, hyperscaler knowledge, and familiarity with CI/CD, GitOps, and infrastructure as code.
Top Skills: AWSAzureCi/CdContainersDistributed SystemsGitopsGoogle Cloud Platform (Gcp)Infrastructure As CodeKubernetes
6 Days Ago
Easy Apply
Remote
United States
Easy Apply
175K-195K Annually
Senior level
175K-195K Annually
Senior level
Healthtech • Software
Leads and develops a Data Platform engineering team while owning delivery of complex data initiatives. The role establishes delivery discipline, assesses technical and implementation risks, partners cross-functionally, and drives production reliability, data quality, observability, incident management, and on-call readiness. It also guides the evolution of scalable data ingestion, transformation, lakehouse, cloud architecture, governance, and reusable platform capabilities.
Top Skills: Amazon AthenaApache AirflowApache IcebergSparkAWSAws GlueCi/CdEtl/EltPysparkS3
11 Days Ago
In-Office or Remote
200K-391K Annually
Expert/Leader
200K-391K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead and scale NVIDIA’s data labeling platform by managing software, data, and AI engineers; overseeing scalable annotation workflows, auto-labeling applications, data pipelines, analytics, interfaces, and operational tooling. Guide system architecture, hands-on Python development, multimodal model integration, platform reliability, and data integrity while aligning engineering priorities with executives, research leaders, and data operations teams.
Top Skills: AlertingDashboardsData LakesData PipelinesDistributed SystemsETLJavaScriptMachine Learning ModelsMultimodal AiPythonTypescript

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account