The RoleWe are seeking a hands-on
Senior Manager of Commercial Monetization & Yield with expertise in performance marketing marketplaces, ad tech yield optimization, and dynamic bidding (ex-QuinStreet, MediaAlpha, or similar lead-gen/referral ecosystems). Sitting within Commercialization, this role serves as the tactical driver bridging commercial strategy, growth marketing, and data science.
You will directly own the ongoing optimization of dynamic tiering rules, buyer rejection mitigation, and yield management across our funnels.
LocationOur company headquarters are in Austin, TX, but our employees work remotely across the US. For folks who live around Austin, we offer the option to join us in our office or opt for a hybrid setup. Whether you prefer the structure of an office, the convenience of remote work, or a mix of both, we support what works best for you!
Please note: at this time we are not able to hire in Massachusetts. Key Responsibilities - Yield & Monetization Optimization: Continuously monitor and optimize traffic allocation, buyer payout thresholds, and dynamic pricing models to maximize revenue per session and gross margin.
- Algorithmic & Tiering Mechanics: Partner directly with Data Science and Engineering to refine intent prediction models, buyer allocation logic, and yield-maximizing algorithms.
- Buyer & Routing Performance: Analyze buyer rejection rates, integration bottlenecks, and partner ROI to adjust real-time traffic routing rules and tiering strategies.
- Commercial Bridge to Technical Teams: Act as the internal commercial operator for Data Science, translating marketplace dynamics and unit economics into actionable SQL/Looker data models and engineering requirements.
- Reporting & Analytics: Build and maintain operational yield dashboards, tiering performance trackers, and dynamic bidding analytics.
Qualifications- 8-10+ years of experience in performance ad monetization, marketplace yield management, or digital referral monetization (experience at MediaAlpha, QuinStreet, or similar insurance/financial platforms highly preferred).
- Strong technical analytics toolkit with hands-on proficiency in SQL and data visualization tools (Looker, Tableau etc.).
- Proven experience collaborating with Data Science / Machine Learning teams on bidding logic, algorithmic tiering, or yield optimization.
- Strong business acumen with a deep understanding of performance marketing unit economics (CPA, CPC, CPL, marginal yield).
- Digital marketing, including familiarity with performance marketing strategies, audience targeting, and analytics.
- Strong understanding of insurance carriers, products, and distribution models, preferred
Benefits & Perks- Competitive compensation & stock option offering
- Health, dental, vision & disability coverage
- Sabbatical program for tenured employees
- HSA with employer contribution
- Fertility support through Carrot
- $100 monthly wellness perk
- $300 pet reimbursement program
- 401k with match
- Unlimited PTO + flexibility to enjoy it
- Paid parental leave program
- Learning & development opportunities
- Employee Resource Groups
CompensationThe base salary range for this position is $160,000 - $170,000 per year. The final salary amount will be determined based on a variety of factors, including experience, skills, internal equity, and insights gained throughout the interview process.
