Sr. Staff Software Engineer, Advertiser and Seller Experience
Lead high-impact engineering for advertiser and seller platforms at Pinterest, owning cross-team technical delivery and building ML/GenAI-powered ad buying, reporting, and seller experiences.
245k – 429k/yr
Hybrid10+ YOEBackend Engineering
About the role
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.
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