About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, Ads Quality based in United States.
The Senior Product Manager, Ads Quality will lead the strategy and evolution of advertising quality systems within a fast-growing digital marketplace.
This role sits at the intersection of product management, machine learning, advertising technology, and marketplace optimization.
The successful candidate will define product direction for auction systems, ranking signals, and quality frameworks that improve advertiser outcomes and user experiences.
Working closely with engineering and data science teams, this position will transform complex technical concepts into scalable product solutions.
The role offers the opportunity to influence high-impact advertising experiences while solving challenging problems in a data-driven environment.
The ideal candidate is a strategic product leader who thrives in ambiguity and enjoys building innovative solutions at scale.
Responsibilities
- Define and manage the product vision and roadmap for ads quality systems, including auction mechanics, marketplace balance, ranking signals, and relevance optimization.
- Drive strategies that increase experimentation velocity across advertising quality initiatives while maintaining strong measurement standards and product integrity.
- Partner closely with machine learning engineers, ads engineers, data teams, and cross-functional stakeholders to translate technical capabilities into clear product requirements.
- Develop frameworks and processes that enable faster testing, learning, and iteration across complex advertising systems.
- Define key success metrics and analyze performance data to guide product decisions and measure business impact.
- Balance competing priorities across advertiser performance, user experience, and overall marketplace health.
- Communicate product strategy, tradeoffs, and progress clearly to senior stakeholders and partner teams.
- Navigate a fast-changing environment by making informed decisions despite uncertainty and evolving business needs.
- Identify opportunities to improve advertising relevance, quality signals, and marketplace efficiency through innovative product solutions.
Requirements
- 2+ years of product management experience in online advertising, ad tech, retail media, or a closely related field.
- Demonstrated understanding of auction mechanics, bidding systems, ad ranking, relevance signals, or advertising quality frameworks.
- 2+ years of experience partnering directly with machine learning teams or managing ML-driven products.
- Ability to participate in technical discussions around machine learning models, evaluation methods, product tradeoffs, and system performance.
- Proven experience building and executing product roadmaps in complex, data-rich environments.
- Strong analytical skills with experience using data, experimentation, and metrics to drive product decisions.
- Experience collaborating with engineering, analytics, design, and business teams to deliver impactful products.
- Familiarity with large language models (LLMs) and their potential applications in advertising or ranking systems is a plus.
- Experience working with production advertising models, relevance systems, auction optimization, or quality filtering is preferred.
- Experience in retail media networks, demand-side platforms, or supply-side platforms is highly valued.
- Comfortable operating in ambiguous, high-growth environments and building structure where processes are still evolving.
Conditions
- Competitive compensation package with a base salary range of approximately $165,000 – $174,000 CAD depending on location, experience, and qualifications.
- Remote work flexibility through a flexible work environment.
- Eligibility for new hire equity grants and annual equity refresh opportunities.
- Market-competitive benefits package designed to support employee well-being.
- Opportunity to work on large-scale advertising technology and innovative marketplace solutions.
- Collaboration with talented product, engineering, and machine learning teams.
- Professional growth opportunities in a fast-moving technology environment.
- Ability to contribute to products used by millions of customers and business partners.
- Inclusive workplace culture focused on diverse perspectives and equitable opportunities.