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The Sr. Corporate Strategy Lead, Performance Advertising at Pinterest is responsible for driving efforts to transform Pinterest into a true performance advertising business. They identify opportunities and risks in a data-driven way, communicate insights, manage operational cadences, and focus on the next frontier of performance unlocks. This role plays a critical part in developing and executing strategic priorities for performance advertising and international revenue growth at Pinterest.

Strategic partner on cross-company RMN strategy, analyzing data, influencing product teams, and presenting actionable insights to executives.

Senior Technical Program Manager responsible for capacity and cloud vendor management at Pinterest. Will lead capacity planning efforts, define hardware roadmap, drive efficiency initiatives, and manage cloud vendor relationships.

Manager for the Cloud Architecture team at Pinterest, responsible for leading cloud systems engineering at massive scale and driving innovation in cloud infrastructure. Key responsibilities include leading a team of engineers, collaborating with technical leaders, building a scalable cloud-based system, and identifying areas of improvement for efficiency and cost-effectiveness.

Define and drive Trust & Safety programs, establish key partnerships, drive efficiencies, advocate for product changes, and manage program objectives in an ambiguous and fast-changing environment.

Lead a cross-functional team to develop and extend 1P measurement products for advertising on Pinterest. Collaborate with various teams to define product strategy, communicate strategy internally, and make impactful decisions. Requires 5+ years of product management experience, with some in digital ads space, strong communication and analytical skills, and the ability to lead and work cross-functionally.

Architect and develop systems, data pipelines, tools, and processes for computing and delivering signals capturing quality aspects of content created on Pinterest.

Lead the development of state-of-the-art machine learning projects for the ads conversion modeling team at Pinterest. Responsibilities include mentoring engineers, designing features, building ML models, inferring user interests, and collaborating with product and sales teams.

Develop state-of-the-art machine learning projects for ads ranking, design features, build ML models, infer user interests, mine user signals, and collaborate with product and sales teams. MS or PhD in Computer Science required. Strong mathematical skills and industry experience in ML systems at scale.

Oversee quality assurance process for Pinterest's global SMB sales force. Develop and implement QA strategies, analyze performance data, collaborate with cross-functional teams, design scorecards, integrate findings into training programs, and lead initiatives to improve customer satisfaction metrics.

Retain, grow and diversify the value delivered to partners, coordinate negotiations, orchestrate internal support, track key metrics, present digital media strategies, secure revenue, provide guidance on product features.

As a Sr. Software Engineer in Solutions Engineering at Pinterest, you will be responsible for building and maintaining technical solutions for advertisers, partners, and internal teams. You will lead the development process, work with stakeholders to address requirements efficiently, and enhance the developer experience. This role is part of the Performance Solutions team within the Global Sales Strategy organization.

Seeking a Senior Manager of Marketing Strategy & Operations to lead the maturity and scaling of the Central Ops function within the Marketing + Comms organization at Pinterest. Responsibilities include driving operational excellence, cross-functional collaboration, data analytics, continuous improvement, executive reporting, team management, and performance management.

As a Sr Machine Learning Engineer at Pinterest, build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Partner with teams across Pinterest to experiment and improve ML models for various product surfaces.

As an Insights Solutions Partner II at Pinterest, you will design and execute data analysis to help stakeholders succeed on the platform. You will create insights to guide advertisers and creators in their marketing strategies based on data and predictive recommendations.

As a Machine Learning Engineer at Pinterest, you will build cutting-edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. You will partner with teams across the company to experiment and improve ML models for various product surfaces and work in a high-impact environment with quick experimentation and product launches.

As an Insights Solutions Partner II on the Global Insights and Strategy team at Pinterest, you will analyze data and create insights to help advertisers succeed on the platform. Your role involves designing and executing analyses, creating data tools, and developing compelling narratives for stakeholders. You will work with Sales leaders to address advertiser questions through data and research, ultimately contributing to revenue growth and strategic partnerships.

Client Account Manager II at Pinterest responsible for building and nurturing relationships with partners, ensuring partner objectives are met, providing actionable insights, advising on media strategies, and driving revenue targets through upselling opportunities.

Develop and execute a vision for the evolution of the machine learning technology stack for lightweight rankers within the Ads Lightweight Ranking team at Pinterest. Responsible for building large-scale machine learning models, inferring user interests, mining user signals and collaborating with product and sales teams to design new ad products.

Lead the strategy and technical direction of Pinterest’s Spark platform, improve and customize the internals of open source Spark, build and scale batch processing frameworks and infrastructure, work with internal customers on critical business use cases, provide thought leadership on data processing, contribute to technical vision and roadmap.