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 looking for a Platform Experience Manager to join our Customer Experience team at MNTN! In this role, you will be both a platform SME and industry SME, with a particular focus on measurement solutions in the advertising space—including lift testing, incrementality testing, and campaign performance validation.
As a Platform Experience Manager, you will play a key role in guiding customers through best practices, enabling internal teams, and influencing the product feedback cycle. This is a highly cross-functional role, partnering with Customer Success, Engineering, and Business Development to establish best practices and help customers drive success with MNTN.
What You’ll Do:- Serve as a subject matter expert (SME) on MNTN’s platform and industry best practices, with a strong focus on measurement, attribution, and performance validation.
- Partner with Customer Success to guide customers through validating campaign performance, helping them implement and interpret incrementality testing, lift studies, and other measurement methodologies, and identifying new solutions for validating performance.
- Deliver enablement sessions and training—both internally and externally—focused on solutioning, performance measurement, and best practices for post-launch success.
- Support go-to-market initiatives by providing product and customer insights, developing playbooks, and supporting internal teams on positioning and enablement materials.
- Collect, analyze, and synthesize customer feedback on measurement solutions and platform functionality, sharing insights with Product and Engineering to inform the roadmap.
- Partner with external measurement partners and internal Engineering teams to co-develop best practices and implementation guides for advanced measurement solutions.
- Act as a trusted advisor to customers and internal stakeholders on the evolving AdTech and CTV measurement landscape.
- Support Customer Success as an escalation resource for complex, post-launch customer challenges—focusing on performance interpretation, advanced measurement, and implementation nuances (not frontline support).
- Provide structured guidance and thought leadership in issue resolution, working cross-functionally to drive clarity and solutions for customers and partners.
- 4+ years of experience in a customer-facing solutions, product, or technical role (e.g., solutions engineering, customer success, technical account management).
- Prior experience in AdTech, MarTech, or performance marketing, ideally with direct exposure to measurement, attribution, incrementality, or lift testing with partners like Haus, LiftLab, or Measured.
- Strong communication skills: Ability to translate technical and analytical concepts into clear recommendations for customers and stakeholders.
- A customer-centric mindset: Comfortable guiding customers through complex post-launch performance validation and optimization.
- Cross-functional collaboration skills: Proven ability to work with Product, Engineering, Customer Success, and external partners to align on customer outcomes.
- Analytical, solution-oriented approach: Ability to identify performance gaps, troubleshoot challenges, and recommend actionable solutions.
- Familiarity with the CTV and performance marketing ecosystem, including measurement and attribution providers, is strongly preferred.
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.
#LI-Remote
Top Skills
Similar Jobs
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute



.png)