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
The Product Manager, Audience Products owns Tunnl's audience portfolio end to end — the platform surfaces where audiences are discovered and built, the audiences themselves, and the distribution channels that get them to market. This is the senior product seat on the audience side of the platform, accountable for both the user experience and the commercial performance of Tunnl's audiences.
This role requires commercial curiosity and market awareness. The PM should actively learn the audience marketplace ecosystem, the influence audience ecosystem, understand how partners and competitors differentiate, and think creatively about how Tunnl's audiences can drive downstream revenue.
This role also considers and balances the importance of paywalls and what Tunnl exclusively makes available to platform subscribers. This will involve balancing opportunities for the Platform Sales team and the Partnerships Sales team. PM must:
Understand what DSP integrations are being built and why
Advocate for audience-build needs
Collaborate closely with Partnership PM and Engineers to ensure alignment
Help set both Platform Sales and Partnerships Sales up for success
Own strategy around Tunnl Halo audiences, Tunnl Pre-Built audiences, and Tunnl Marketplace audiences
Develop new audiences offerings and support GTM
This role is sized for a mid-level PM with 5–7 years of experience, ideally with exposure to data products, audience or segmentation tools, ad tech, or marketplace dynamics.
What You'll Do:
Audience Platform Surfaces
Own the end-to-end product lifecycle for Tunnl's audience-facing surfaces, from requirements through build, launch, and iteration:
Audience Explorer (discovery, comparison, evaluation)
Audience Builder (combination logic, filters, sizing, guardrails)
Manage Audiences (status, ownership, lifecycle, metadata)
Audience Library (catalog browsing and export)
Halo Audience Platform experience
Ensure these surfaces are intuitive, searchable, scalable, and aligned with how users discover and activate audiences
Unblock engineering by driving decisions, resolving ambiguity, and aligning stakeholders
Play a key role in sprint execution and planning, acting as a conduit between Product and Engineering to ensure audience priorities are clearly defined, advocated for, and delivered
Audience Portfolio Lifecycle
Own the ongoing health of all audiences in the platform, including regular refreshes at a set and clearly communicated cadence, deprecation and cleanup of underperforming or outdated audiences, and clear lifecycle states
Decide which audiences Tunnl builds, refreshes, and sunsets based on commercial demand, engagement data, and strategic positioning
Define metadata standards for audience tables and ensure they're complete, accurate, and consistently structured to support platform discovery, sales enablement, and partner distribution requirements
Coordinate with Strategic Research on inputs from the National Omnibus Survey to translate research signal into audience product decisions
Downstream Distribution & Partnerships
Own the Product side of audience distribution to external marketplaces (StackAdapt, The Trade Desk, and others as the program expands)
Decide which audiences are distributed where, based on demand, revenue opportunity, and cannibalization risk
Work closely with the Partnerships team to ensure audiences are properly mapped, named, packaged, and labeled for each partner
Maintain naming conventions, pricing strategy inputs (e.g., CPM positioning), and guardrails for marketplace audiences
Revenue & Engagement Accountability
Track and assess audience performance, including revenue generated from audience usage, engagement and adoption across audience surfaces, and downstream activation rates
Partner with Revenue and Partnerships to understand which audiences are selling, which are underperforming, and where product changes could unlock additional usage or revenue
Use performance data to recommend audience improvements, consolidation, or sunsetting
Cross-Functional Communication & Enablement
Communicate across Product, Engineering, Revenue, and Partnerships and allow for informed input before drafts are finalized
Maintain clear documentation of audience definitions, metadata standards, known limitations, and best practices
Enable internal teams (Sales, Account Management, Partnerships) to confidently position and use audiences with clients
What Success Looks Like
Audience revenue and engagement grow quarter over quarter
High-value audiences are reliably distributed to the right marketplaces
Audience surfaces are used, not merely available (measurable engagement across Explorer, Builder, Manage Audiences, and Library)
Underperforming or outdated audiences are identified and cleaned up quickly
Buyers can easily find, evaluate, and activate the right audiences
Engineering work is unblocked by clear decisions and strong product ownership
Required Qualifications
Experience
5–7 years of product management experience, ideally with a portfolio that includes data products, audience or segmentation tools, ad tech, or marketplace platforms
Demonstrated ownership of a product area end to end, including lifecycle decisions (what to build, refresh, sunset) and commercial outcomes (revenue, adoption, engagement)
Experience working with engineering teams in an agile environment; comfortable driving sprint planning, scoping, and prioritization
Bachelor's degree or equivalent practical experience
Domain Knowledge
Working understanding of the audience marketplace ecosystem; familiarity with DSPs (The Trade Desk, StackAdapt), data partners (LiveRamp), and how audiences are packaged, distributed, and activated downstream
Comfortable with the mechanics of audience construction (segmentation logic, modeling, refresh cycles) and the tradeoffs between audience quality, size, and commercial viability
Familiarity with survey methodology or research-driven data products is a plus, as is exposure to political, advocacy, or issue-based advertising
Core Skills
Strong commercial instincts; can connect product decisions to revenue and engagement outcomes and prioritize accordingly
Clear, concise written communication; produces strong first drafts of memos, requirements, and strategy documents without heavy editing
Comfortable making tradeoff decisions with incomplete information and defending them to stakeholders across Product, Engineering, Revenue, and Partnerships
Data-fluent; can pull and interpret usage and revenue data to inform portfolio decisions, and knows when to ask for deeper analysis
Skilled at unblocking engineering through decisive product ownership rather than escalation or deferral
Working Style
Operates with autonomy on owned scope; brings recommendations rather than open questions to leadership
Strong cross-functional collaborator; can work effectively with Revenue, Partnerships, and Account Management without losing product judgment
Bias toward documentation and durable artifacts (requirements, metadata standards, partner-ready specs) over verbal handoffs
Mindset
Commercially curious; actively tracks the competitive landscape and brings outside-in perspective to portfolio decisions
Comfortable owning both the strategic shape of the portfolio and the operational details that make it work
Pragmatic about tradeoffs between platform polish and commercial impact
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.
Skills Required
- 5-7 years of product management experience with data products, audience or segmentation tools, ad tech, or marketplace platforms
- Demonstrated ownership of a product area end to end, including lifecycle decisions and commercial outcomes (revenue, adoption, engagement)
- Experience working with engineering teams in an agile environment; driving sprint planning, scoping, and prioritization
- Bachelor's degree or equivalent practical experience
- Working understanding of the audience marketplace ecosystem and DSPs (The Trade Desk, StackAdapt) and data partners (LiveRamp)
- Comfortable with audience construction mechanics (segmentation logic, modeling, refresh cycles) and tradeoffs between audience quality, size, and commercial viability
- Strong commercial instincts; able to connect product decisions to revenue and engagement outcomes
- Clear, concise written communication; able to produce strong first drafts of memos, requirements, and strategy documents
- Data-fluent; able to pull and interpret usage and revenue data to inform portfolio decisions
- Skilled at unblocking engineering through decisive product ownership
- Familiarity with survey methodology or research-driven data products
- Exposure to political, advocacy, or issue-based advertising
What We Do
Tunnl is leveraging AI to erase the boundaries between insights, audiences, and outcomes to ensure every piece of intelligence can be acted on. We combine the judgment of seasoned data experts with the power of artificial intelligence to help organizations find and connect with the people who matter most. With years of experience embedded in our platform, we enable research at scale, define the right audiences, surface powerful insights, identify optimal communication channels, and measure changing attitudes over time—all in one experience built to eliminate data silos.









