Note: The job is a remote job and is open to candidates in USA. Pinterest is a platform that helps people discover creative ideas and plan meaningful experiences while connecting creators, Pinners, and advertisers. The Staff Machine Learning Engineer, Ads Measurement role defines and delivers full-funnel measurement products, partnering with engineering, data science, research, sales, and other teams to demonstrate Pinterest’s impact and improve outcomes for advertisers and creators.
Responsibilities
- Own the strategy and end-to-end execution for demonstrating the full-funnel value of Pinterest, including the creator–Pinner–advertiser flywheel. Define the vision for new and existing measurement capabilities and translate advertiser and creator needs into clear product and technical requirements. Create and deliver a multi-quarter roadmap, aligning data foundations, measurement methodologies, experimentation, privacy guardrails, and customer-facing experiences to drive measurable creator, advertiser, and Pinner outcomes
- Partner day-to-day with engineering, data science/analytics, design, and research to deliver high-quality products; collaborate with PMM, sales, partnerships, legal, privacy, and policy/integrity for launches. Work closely with PM peers across Ads, Creators, Content, and Shopping to manage dependencies, align measurement frameworks and experiment design, coordinate GTM, and incorporate customer feedback
- Build new and iterate on measurement products that help advertisers understand how creator content, organic engagement, and paid media contribute across awareness, consideration, intent, conversion, and longer-term value. Enable creators to understand the value they generate for brands and identify new business opportunities. Define success metrics and validation standards up front, track adoption and quality post-launch, and use insights to update the roadmap
Skills
- 8+ years of experience working as a Product Manager or in a related role, including 3–5+ years of substantial ads or marketing measurement experience
- Strong evidence of the ability to define new products and strategies in an ambiguous space and execute from ideation and multi-quarter roadmaps through go-to-market and adoption
- Deep understanding of the full marketing funnel and how advertisers set objectives, deploy tactics, and evaluate outcomes
- Experience working with engineering, data science, analytics, research, or PMM cross-functional teams and a strong ability to empathize with, anticipate the needs of, and collaborate with a diverse set of stakeholders
- Strong quantitative judgment and understanding of attribution, incrementality, experimentation, brand lift, conversion lift, and measurement tradeoffs
- Deep understanding of business metrics and tradeoffs in the context of online platforms or multi-sided ecosystems
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country
- US based applicants only
- Preferred but not required: Experience with creator, influencer, branded-content, social, video, commerce, or organic-and-paid measurement
- Preferred but not required: Experience building advertiser-facing measurement products or working with advertisers, agencies, creators, marketing science teams, or measurement partners
- Preferred but not required: Technical degree in CS/Statistics/Math/Engineering/Economics
- Preferred but not required: Experience designing, running, or analyzing incrementality or lift experiments
Benefits
- The position is also eligible for equity.
- This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
- Flexibility to do your best work.
Company Overview
Company H1B Sponsorship