Sr. Staff Software Engineer, Advertiser and Seller Experience

We’re hiring a Senior Staff Software Engineer for the Advertiser and Seller Experiences org. Our organization focuses on creating the most intuitive, intelligent, and trusted platforms for advertisers and sellers, turning Pinterest user intent into business growth. From ad buying and performance reporting to seller insights and actions, we enable seamless experiences from intent to outcome. Looking ahead, we're building the foundations for agentic experiences that continuously understand goals, adapt to context, and execute, reducing friction and unlocking new paths to growth.

In this role, you'll lead high-impact engineering at the intersection of advertiser and seller platforms, powering how businesses buy ads, track performance, and act on insights. This includes applying ML, AI-assisted workflows, and GenAI where appropriate to build intuitive, intelligent, and trusted experiences. You'll partner closely with Engineering Managers, Product Managers, Data Scientists, and other senior engineers to deliver platforms with measurable business impact.

What you’ll do: 

• Own end-to-end technical delivery for cross-team initiatives, from problem framing and technical strategy through architecture, implementation, rollout, and iteration.
• Shape advertiser and seller platforms for scale, reliability, and quality, ensuring experiences are intuitive, intelligent, and trusted across ad buying, reporting, and seller workflows.
• Build and evolve ML, GenAI and AI-assisted advertiser and seller experiences with strong validation and guardrails. For example, intelligent recommendations, automated insights, and tools that improve platform usability without compromising trust.
• Contribute to advertiser and seller platform initiatives that span teams, creating streamlined flows and decisioning pathways that improve time to value, campaign performance, and seller efficiency.
• Partner where appropriate on performance measurement, advertiser insights, and data-driven pathways that connect platform engagement to business outcomes, ensuring strategy is measurable rather than anecdotal.
• Drive technical decisions using clear tradeoffs across revenue, conversion, advertiser and seller experience quality, and engagement.
• Mentor senior engineers and raise the bar for technical design, engineering quality, and production readiness across the organization.
• Use AI to accelerate your own work across exploration, drafting, analysis, and synthesis, while maintaining strong judgment, rigorous validation, and accountability for outcomes.

What we’re looking for:

• 10+ years of software engineering experience building and operating complex production systems.
• Strong track record in ads, advertiser tooling, seller platforms, or other adjacent large-scale domains, including leadership on cross-team technical initiatives.
• Deep experience in systems design, API design, and data-intensive systems, with the ability to navigate tradeoffs in performance, reliability, and scalability.
• Experience building or partnering on ML, AI, or GenAI-adjacent systems, with a pragmatic understanding of where these technologies add value and how to deploy them responsibly.
• Advertiser platform, seller experience, or ads integrations experience is a strong plus.
• Experience with growth, measurement, funnel optimization, or ads performance ecosystems is a plus.
• Strong communication skills and the ability to influence technical direction without directly owning every implementation detail.
• Bachelor's degree in Computer Science, Engineering, or a related technical field or equivalent practical experience.

Relocation Statement: 

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices SF/Palo Alto Office.

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