Pinterest is a platform that inspires creativity and helps users plan memorable experiences. The Lead Ads Product Marketing Manager will lead the go-to-market strategy for the programmatic supply and inventory portfolio, operating independently and guiding cross-functional teams to drive company-wide impact.
Responsibilities:
- Own the portfolio-level GTM strategy for supply and inventory across formats and deal types
- Define durable positioning, messaging, and narrative frameworks aligned to company objectives
- Independently lead complex, multi-quarter GTM initiatives from strategy through execution
- Influence product roadmap, packaging, and investment decisions through market and customer insights
- Develop commercial strategy, sales motions, and best-in-class enablement
- Act as a trusted strategic advisor to Product, Sales, Partnerships, Operations, and Marketing
- Mentor and elevate other PMMs through strategic guidance (without formal management)
- Ensure GTM plans align with operational realities, inventory quality, and compliance requirements
- Represent the company externally through customers, industry events, and thought leadership
- Apply an AI-first approach to problem-solving, research, and analysis, leveraging internal AI and agentic tooling as a default step
Requirements:
- Bachelor's degree in Marketing, Business, Communications, or a related field or equivalent experience
- 8+ years of experience in product marketing, go-to-market, or strategic marketing roles in ad tech or digital media
- Deep expertise in programmatic supply-side technologies, inventory management, and marketplace dynamics
- Proven ability to operate independently at a strategic level and drive outcomes in matrixed organizations
- Strong track record of influencing roadmap, revenue strategy, and cross-functional execution
- Advanced strategic thinking, executive communication skills, and strong business acumen
- Experience mentoring peers and shaping organizational standards for GTM excellence
- Demonstrated expertise in applying AI for data analysis and insight generation (e.g., using AI tooling to simplify and speed up data analysis)
- Strong human judgment and validation skills for AI outputs, ensuring alignment with company policy, security requirements, and maintaining standards