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MNTN

Director of Engineering, AI Efficiency

Sorry, this job was removed at 08:06 p.m. (CST) on Friday, Oct 03, 2025
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

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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 2024.)

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're seeking a visionary and hands-on Director of Engineering, AI Efficiency to build the internal AI ecosystem at MNTN. This role will be pivotal in designing and scaling AI-powered tools, resources, and workflows across all departments—from Operations to Customer Success to Sales to Product Marketing, Finance, and People. As a core member of the engineering leadership team, you'll report directly to the CTO and partner cross-functionally to shape how AI transforms the way we work.

What You’ll Do:
  • Define and execute MNTN’s internal AI strategy in partnership with the CTO, COO, and department leaders.
  • Identify high-impact opportunities to apply AI across all teams—including Sales, Operations, Customer Success, Product Marketing, Finance, and People.
  • Design, build, and deploy scalable AI tools, APIs, and applications to automate workflows and enhance internal decision-making.
  • Develop internal platforms and infrastructure to support rapid experimentation and secure, scalable AI deployment.
  • Empower cross-functional teams with intuitive AI-powered solutions that increase productivity and reduce manual effort.
  • Build and lead a high-performing AI engineering team, fostering a culture of innovation, ownership, and technical excellence.
  • Establish and maintain best practices for responsible AI development, data governance, and model performance evaluation.
  • Stay on top of emerging technologies and incorporate cutting-edge advances in machine learning and LLMs into MNTN’s internal systems.
What You'll Bring:
  • 8+ years of experience in software engineering, with 4+ years focused on AI/ML development.
  • 2+ years of experience in a leadership role managing technical teams.
  • Strong experience with LLMs, NLP, generative AI, and MLOps frameworks.
  • Proven track record of building internal tools or platforms with measurable business impact.
  • Excellent communication skills with an ability to translate technical capabilities into business value.
  • Experience working cross-functionally with departments.
  • Passion for building elegant, maintainable, and human-centered solutions using AI.
  • Familiarity with enterprise SaaS environments or AdTech ecosystems.
Nice to Have:
  • Experience with data privacy, security, and compliance in AI applications.
  • Contributions to open-source AI projects or published research.

MNTN 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

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.

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HQ

MNTN Austin, Texas, USA Office

Austin, Texas, United States

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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