Senior Technical Program Manager

MNTN

7d•Remote

About The Position

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 2025.) 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 are seeking a Technical Program Manager (TPM), Audience Targeting to join the Technical Program Management team. This role owns the strategy, performance, and evolution of our audience targeting capabilities. You are responsible for building capabilities that enable our customers to identify, segment, and reach audiences effectively, improving campaign performance and business outcomes. This role requires deep, hands-on experience in AdTech audience targeting systems. You have previously owned or significantly contributed to targeting, segmentation, or identity-driven products and have demonstrated measurable impact on campaign performance. You will operate at the intersection of Engineering, Data Science, Product, and Marketing, shaping both the underlying targeting infrastructure and the product surfaces that enable it.

Requirements

5+ years of Product Management or Technical Program Management experience within AdTech or MarTech, with direct ownership of audience targeting or segmentation systems
Proven track record of improving campaign performance through targeting strategies (e.g., conversion lift, efficiency gains, higher-quality audiences)
Deep experience working with: Audience segmentation platforms Identity graphs or identity resolution systems Targeting and optimization systems
Strong understanding of: Data pipelines and audience ingestion flows Signal quality, enrichment, and data reliability Tradeoffs between scale, accuracy, and latency in targeting systems
Experience partnering closely with Data Science or ML teams on model-driven targeting
Ability to define, measure, and iterate using experimentation and performance data
Strong analytical skills; ability to translate data into product decisions
Excellent stakeholder management and communication skills

Responsibilities

Own the roadmap for audience targeting capabilities, including segmentation, targeting logic, and supporting infrastructure
Translate company objectives into targeting strategy that enables customers to improve campaign performance
Identify high-impact opportunities to improve targeting precision, scale, and usability
Define clear problem statements grounded in customer outcomes (e.g., reach, match rate, performance lift)
Establish success metrics for targeting capabilities and ensure alignment across stakeholders
Prioritize initiatives based on expected impact to customer performance and business value
Partner with Engineering and Data Science to design targeting systems that balance: Accuracy vs scale Latency vs performance Flexibility vs system complexity
Ensure solutions are durable, measurable, and aligned with long-term platform direction
Avoid over-investment in low-impact targeting features or excessive system complexity
Work closely with Data and Engineering to understand: Audience ingestion pipelines Identity resolution inputs and dependencies Data quality and signal reliability
Translate system constraints into product decisions and roadmap sequencing
Engage deeply in discussions around data models, APIs, and targeting infrastructure
Own performance of targeting capabilities as measured by: Campaign performance improvements enabled by targeting Audience match rates and signal utilization Targeting efficiency and precision
Drive iteration through experimentation, data analysis, and performance monitoring
Ensure targeting capabilities consistently enable acquisition of high-value customers
Drive alignment across Engineering, Data Science, Product, and Marketing teams
Act as the central point of accountability for targeting strategy and tradeoffs
Communicate clearly with leadership on performance, risks, and opportunities