Product Manager, Paid Ads

Title: Product Manager, Paid Ads

Location: United States

Job Description:

We are looking for a Product Manager who combines strong product management skills with meaningful experience in paid ads, AdTech, or digital advertising. You will lead strategic initiatives across our paid ads portfolio, helping thousands of SMB advertisers improve performance through AI-driven optimization, automation, and platform innovation. 
The ideal candidate is an experienced product leader who can identify opportunities, define strategy, influence stakeholders, and deliver measurable business outcomes. You will partner closely with Engineering, Data Science, Customer Success, Sales, and Marketing to build scalable solutions that improve advertiser outcomes and drive business growth.
Key Responsibilities
Product Strategy & Vision

Own and execute a significant portion of the Paid Ads product roadmap.
Identify market opportunities, customer needs, and platform changes that should inform roadmap investments.
Define product strategy for optimization, automation, bidding, measurement, and advertiser-facing capabilities.
Evaluate emerging trends in paid ads, AI, and digital advertising to identify opportunities for product innovation.

Product Execution & Delivery

Lead initiatives from discovery through launch and ongoing optimization.
Translate business challenges and customer needs into clear product requirements, user flows, success metrics, and rollout plans.
Partner directly with Engineering and Data Science to deliver scalable product solutions.
Balance customer value, business impact, and technical complexity when making prioritization decisions.
Own product outcomes and post-launch performance measurement.

AI, Optimization & Measurement

Drive innovation across AI-powered optimization, bidding, automation, and recommendation capabilities.
Translate emerging AdTech, platform, AI, and industry innovations into differentiated product experiences.
Define measurement frameworks and success metrics to evaluate product effectiveness.
Use data and experimentation to inform product investments and improve advertiser performance.

Cross-Functional Leadership

Partner with Customer Success, Sales, Marketing, and Operations to ensure successful activation and adoption of new capabilities.
Build alignment across stakeholders and influence decisions without direct authority.
Present product strategy, recommendations, tradeoffs, and outcomes to leadership teams.

Required Qualifications

5+ years of product management experience delivering customer-facing, platform, SaaS, or technology products.
3+ years of experience in digital advertising, AdTech, MarTech, performance marketing, or a related domain. Experience with advertising platforms, campaign optimization, measurement, and automation is strongly preferred.
Deep understanding of digital advertising, AdTech platforms, and performance marketing, including optimization, automation, bidding strategies, measurement, attribution, conversion tracking, and AI-driven campaign management.
Experience partnering directly with engineering teams to deliver products from concept through launch.
Demonstrated ability to translate ambiguous business problems into clear product strategies and execution plans.
Strong analytical and data-driven decision-making skills.
Experience leading cross-functional initiatives across Product, Engineering, Data Science, and Go-to-Market teams.
Excellent written, verbal, and stakeholder communication skills.

Preferred Qualifications

Experience building AI-powered, automation, optimization, recommendation, or workflow-based products.
Experience working with Data Science teams, experimentation frameworks, or machine learning concepts.
Familiarity with SQL, analytics platforms, or data-driven product development.
Experience serving SMB advertisers at scale.
Experience working in agency technology, advertising technology, marketing technology, or Google Partner environments.

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The annualized base salary for this role will range between $125,000 and $135,000.  Base compensation is reflective of many factors, including, but not limited to, the market in which one lives/works, individual education level, skills, certifications and experience. Note: variable compensation is not reflected in these figures and based on the role, may be applicable.