Senior Ads Product Marketing Manager

Responsibilities

• Own product marketing strategy and go-to-market execution for Pinterest’s measurement-aligned bidding and optimization portfolio, including MPO, Last Click Mode/optimization windows, and future custom conversion solutions.
• Research advertiser measurement approaches, attribution models, lower-funnel objectives, and performance needs to identify market opportunities and influence product strategy.
• Define target segments, customer problems, value propositions, positioning, messaging, and proof points for bidding products.
• Lead commercialization for alpha and beta programs, including learning agendas, advertiser recruitment, onboarding, enablement, and product and go-to-market recommendations.
• Partner with Product, Engineering, Data Science, Measurement, Sales, Performance Solutions, and Product Operations on requirements, investments, tradeoffs, and launches.
• Synthesize customer feedback, competitive intelligence, product data, and opportunity sizing into recommendations.
• Develop sales enablement, training, and customer-facing materials explaining bidding, optimization, and measurement concepts.
• Establish success metrics for adoption, advertiser performance, sentiment, revenue impact, and operational readiness.
• Drive cross-functional alignment across Sales, Measurement Solutions, Product Operations, Business Marketing, Legal, and other partners.
• Use AI tools to accelerate research, feedback synthesis, and analysis while validating outputs and protecting sensitive information.

Requirements

• 5+ years of product marketing, ads marketing, or related experience, ideally in performance advertising, ad delivery, bidding, measurement, attribution, or marketing technology.
• Bachelor’s degree in Marketing, Business, Communications, or a related field, or equivalent experience.
• Experience developing and executing product go-to-market strategies, including positioning, messaging, segmentation, enablement, launch planning, and adoption measurement.
• Experience commercializing early-stage products through alpha, beta, and broader launch stages.
• Strong understanding of lower-funnel advertising, conversion optimization, CPA, ROAS, attribution, and first- and third-party measurement.
• Technical fluency in conversion signals, data integrations, attribution windows, optimization models, and bidding strategies.
• Strong analytical judgment and experience using qualitative and quantitative data to define needs, size opportunities, evaluate tests, and make recommendations.
• Ability to influence and build partnerships across Product, Engineering, Data Science, Sales, Solutions, Operations, and executive stakeholders.
• Exceptional written and verbal communication skills.
• Demonstrated ability to use AI tools effectively while validating accuracy and retaining ownership of final work.

Compensation

• Base salary: $123,684–$254,644 USD.
• Eligible for equity.
• US-based applicants only.