Ads Product & Engineering, Strategy & Operations Lead
Snap Inc. - Bellevue, WA
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Snap Inc ( is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Companyu2019s three core products are Snapchat (, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio (, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles (. Snap Engineering ( teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. Weu2019re deeply committed to the well-being of everyone in our global community, which is why our values ( are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. Weu2019re looking for an Ads Product & Engineering Strategy & Operations Lead to join the Ads Platform team. What youu2019ll do: + Partner with Ads Platform Product & Engineering leadership to define and evolve strategy, ensuring alignment with Snapu2019s overall Ads business objectives + Translate long-term product and platform vision into clear, measurable goals, success metrics, and prioritized roadmaps + Lead cross-functional strategy and planning processes to align teams on priorities, dependencies, and execution timelines + Drive end-to-end delivery of high-impact technical and cross-functional initiatives, removing blockers and ensuring measurable outcomes + Develop and maintain tools, dashboards, and frameworks that provide visibility into program health and impact + Build and execute communication strategies that keep internal and cross-functional stakeholders aligned on progress, outcomes, and priorities + Design and run operating rhythms such as roadmap reviews, QBRs, and org all-hands to drive clarity, focus, and accountability + Partner with enabling functions to optimize resource allocation, improve decision-making, and strengthen operational excellence across the organization + Serve as a trusted advisor and connective tissue across Ads Platform, bridging strategy and execution to ensure alignment and clarity across product, engineering, and business stakeholders Knowledge, Skills & Abilities: + Proficiency with data visualization tools (e.g. Grafana, Looker, Tableau) building dashboards, source control (e.g. GitHub), ticket management (e.g. JIRA) + Strong technical fluencyu2014enough to deeply engage with engineering, product and business orgs and translate complex concepts into strategic clarity. + Data-driven decision-making instincts paired with polished executive communicationu2014clear, persuasive, and concise across written and presentation mediums and ability to influence without authority + Collaborative, diplomatic, and resilient: thrives in high-velocity environments that demand quick alignment across diverse stakeholders Minimum Qualifications: + Bachelor's in a technical field such as computer science, mathematics, statistics or equivalent years of experience + 11+ years of experience spanning Engineering / Data Science / Technical Program Management leading cross-functional efforts in the software or tech industry in a data-driven environment. + 6+ years of experience in Technical Program Management. Preferred Qualifications: + Ads domain expertise + A proven track record of leading large-scale, ambiguous programs across distributed teams in fast-paced, cross-functional environments, especially in the areas of improving platform reliability, operational stability and performance of production systems + Experience working directly with engineers and contributing to product and technical design, architectural trade-offs, and roadmap planning + Proven impact launching operational discipline at the scale of engineering organizations, emphasizing process, cost optimization, and cross-functional alignment + Technical foundation (e.g. Machine Learning, Computer Science, Engineering, technical MBA) or prior hands-on experience in engineering/product management or a similar discipline. + Experience scaling operations in early/rapid-growth, matrixed, or cross-functional environments. If you have a disability or special need that requires accommodation, please donu2019t be shy and provide us some information (.
Created: 2025-12-05