Principal Architect, 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 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 and helps 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/.

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.

MNTN is seeking a visionary and highly experienced Principal Architect, AI to lead our team focused on revolutionizing campaign performance and inventory cost optimization through cutting-edge machine learning initiatives. This individual will be instrumental in shaping the future of our advertising platform, driving significant business impact by building intelligent and reliable production-ready products. You will also lead a team dedicated to experimentation, ensuring a data-driven approach to innovation and continuous improvement.

What You’ll Do:

• Define and champion the technical vision and architecture for MNTN's Machine Learning initiatives, including campaign performance prediction, optimization, and inventory cost management
• Lead and mentor a team of Machine Learning Engineers and Scientists, fostering collaboration, innovation, and continuous growth
• Translate business needs into scalable AI solutions by working closely with Product, Engineering, and Business stakeholders
• Design and oversee the development of end-to-end ML pipelines—from data ingestion and feature engineering to model training, evaluation, deployment, and monitoring
• Ensure deployed ML systems are reliable, scalable, and maintainable in a production environment
  Lead the development and implementation of experimentation frameworks such as A/B testing and multi-armed bandits to optimize model and product performance
• Evaluate and adopt emerging AI/ML tools, technologies, and methodologies to drive innovation and efficiency
• Partner with data engineering teams to ensure data quality, integrity, and accessibility for training and model development
• Clearly communicate technical concepts, project updates, and outcomes to both technical and non-technical audiences
• Provide strategic guidance and hands-on support to solve complex technical challenges within the team

What You’ll Bring:

• 10+ years of experience in building and deploying machine learning models and systems in a production environment.
• Proven track record of leading and mentoring teams of Machine Learning Engineers and Scientists.
• Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Strong expertise in building and optimizing models for prediction, classification, clustering, and time-series analysis, specifically in the context of campaign performance and/or inventory optimization.
• Significant experience with cloud computing platforms (e.g., AWS, GCP, Azure).
• Proficiency in programming languages commonly used in ML development (e.g., Python) and relevant ML libraries and frameworks
• Solid understanding of software engineering principles, DevOps practices, and building scalable and reliable systems.
• Experience in designing and implementing robust experimentation frameworks (e.g., A/B testing platforms).
• Excellent problem-solving, analytical, and communication skills (both written and verbal).
• Strong ability to collaborate effectively with cross-functional teams.
• Demonstrated ability to translate business requirements into technical solutions. 

Preferred Qualifications:

• Experience in the advertising technology (AdTech) industry.
• Familiarity with concepts related to online advertising, campaign management, and inventory management.
• Experience with causal inference techniques.

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 Build with Ferguson, Tarte, OneWheel, Decked, and National University.

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