Product Manager, Measurement
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 21, 2026.
About Tunnl
Tunnl is building a future where artificial intelligence enables organizations to connect meaningfully with the people who matter most. We help organizations conduct research at scale, define the right audiences, surface real-time insights, identify optimal communication channels, and measure changing attitudes over time.
Tunnl serves brands, agencies, and advocacy groups alike - organizations navigating complex communications, reputational, and regulatory landscapes. These teams need smarter, faster ways to make audience-informed decisions that stand up to scrutiny and resonate across stakeholder groups. Whether you're building a brand, shaping public opinion, managing risk, or launching a new initiative, Tunnl empowers you to move from insight to impact with clarity & confidence.
Role Overview
Tunnl is seeking a Measurement & Partnerships Product Manager to own two connected functions at the heart of our platform: the measurement products that prove campaign impact, and the data and integration partnerships that make them possible. Reporting directly to the Chief Product Officer, this role carries the cross-cutting authority to span Tunnl’s product domains-audience, media, and measurement-turning DSP log-level data into connected, privacy-safe measurement that ties what campaigns deliver to who they reached and, ultimately, to how opinions change.
You will work at the intersection of media, data, research, and business development-partnering with engineering, data science, and our research teams while owning the external relationships that expand what Tunnl can measure. You understand how a media buy is planned and measured, how identity resolution works across online and offline signals, and how survey-based opinion measurement fits into the bigger picture.
What You’ll Do
Measurement Solutions; builds and owns Tunnl’s measurement product capabilities, working across audience and media products.
Own the end-to-end lifecycle of measurement projects from data procurement through product integration and client delivery setting the roadmap and priorities for how Tunnl measures advertising performance.
Lead DSP log-level data procurement, ingestion, and quality control across major demand-side platforms.
Define and oversee the mapping of log-level data to Tunnl’s offline PII files using online identifiers in a privacy-compliant way.
Connect log-level data into Tunnl’s products, including Reach & Frequency and clean rooms, translating raw delivery signals into metrics clients can plan and optimize against.
Build the roadmap to tie advertising measurement to opinion measurement, shaping an opinion attribution product that links exposure to shifts in attitudes and awareness.
Partner closely with partnerships, engineering, data science, and research to translate partner and business needs into technical requirements and ship reliable, scalable capabilities.
Qualifications:
Bachelor’s Degree
5+ years of product management experience in ad tech, media measurement, or a related data-driven field, including lead-level ownership of a product area.
Hands-on media buying or campaign activation experience-you understand how digital and CTV campaigns are planned, bought, and measured.
Direct experience working at a major DSP (e.g., The Trade Desk, DV360, Amazon DSP, Yahoo, or similar), with a working knowledge of log-level data and campaign delivery.
Experience building or managing data and technology partnerships and direct integrations, including the commercial and technical work of standing up a DSP or data-provider integration.
Strong understanding of identity resolution, identity graph solutions, and online identifiers-IP address, HEMs, MAIDs, CTV IDs, and cookies-and how they map to offline PII.
Familiarity with reach and frequency and other core advertising measurement concepts.
Enough research literacy to understand how survey-based opinion measurement connects to advertising measurement and how to bridge the two.
Proven ability to lead cross-functional work with engineering, data science, and analytics teams and to communicate clearly with technical, client, and partner audiences.
Preferred Qualifications:
Experience with data clean rooms or data collaboration platforms (e.g., LiveRamp, Snowflake).
Background in programmatic, CTV, or cross-channel measurement and attribution modeling.
Exposure to survey research, market research, or opinion/polling data.
Track record of integrating partnership revenue opportunities.
Why You Should Apply:
Join a team driven by curiosity, teamwork, integrity, and a shared passion for solving big challenges.
A friendly, welcoming, and supportive culture with regular social and team events.
Comprehensive benefits with excellent medical, vision, and dental coverage.
Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
Employer-paid life insurance & short-term & long-term disability, with other voluntary additional coverage available (accident, critical illness, hospital indemnity).
Flexible hybrid work policy.
Flexible paid vacation plus 80 hours of paid sick leave.
10 paid company holidays per year.
401(k) plan with 100% match up to 3%, plus 50% match up to 5% (subject to IRS limits).
Cell phone reimbursement stipend.
Monthly parking or commuter stipend for VA-based employees.