Hybrid Product Manager, Auction Optimization

Publift; Sydney; Hybrid; AUD 180,000 - 240,000; Full time

Benefits offered by this job

24 weeks parental leave for primary

4 weeks secondary caregiver leave

Family & fertility planning leave

Job summary

Publift in Australia is seeking a Product Manager to own Auction Optimisation across Prebid, Google Ad Manager (GAM), and identity/partners. You will define the strategy, set measurable goals, and run experiments to lift revenue, yield, and inventory quality for publishers.

You will collaborate with Data Science and Engineering to design trials, interpret results, and translate business goals into precise engineering specs, while maintaining clear communication with executives.

Qualifications

• 5+ years in product management for revenue-bearing adtech products.
• Hands-on experience with publisher monetisation systems: Prebid, GAM, SSPs/DSPs, and identity solutions.
• Strong data analysis skills; able to run analyses with SQL/Sheets/Excel.

Responsibilities

• Own the strategy, roadmap, and outcomes for auction optimisation across Prebid and GAM with KPIs and guardrails.
• Manage the end-to-end optimisation uplift loop with hypothesis framing, design, evaluation, and go-to-market decisions.
• Translate business goals into precise problems, specs, and experiment plans for Engineers to implement.
• Make bidder configuration, identity, floors, timeouts, and layouts improvements coherent and measurable.
• Evaluate demand, identity, and measurement partners through structured trials with clear success criteria.
• Communicate priorities, risks, and results to executives and cross-functional teams.

Skills

Publisher monetisation

Prebid & GAM

SSPs/DSPs

Identity solutions

Data analysis

End-to-end ownership

SQL

Google Sheets

Excel

Tools

SQL

Google Sheets

Excel

Job description

Publift in Australia is seeking a Product Manager to own Auction Optimisation across Prebid, Google Ad Manager (GAM), and identity/partners. You will define the strategy, set measurable goals, and run experiments to lift revenue, yield, and inventory quality for publishers.

You will collaborate with Data Science and Engineering to design trials, interpret results, and translate business goals into precise engineering specs, while maintaining clear communication with executives.