Top Tech Jobs & Startup Jobs

Lead design and implementation of performance marketing backend systems: ad integrations, event pipelines, attribution and measurement, bidding and budget optimization, reliability for spend-critical systems, cross-team coordination, and mentoring engineers. Drive measurement methodology, privacy-resilient approaches, and use of AI to accelerate work.

Lead backend architecture and implementation of a GenAI-powered Conversion Health agent: design services, data flows, retrieval layers, and AI-consumable measurement signals. Improve agent reliability, evaluation, and safety; integrate with downstream ads products and tools; partner cross-functionally to translate measurement pain points into actionable agent skills and demonstrate measurable ad performance impact.

Lead Oracle EBS Financials solutions for accounting processes (GL, AP, CM, FA, SLA); design/configure integrations with cloud/SaaS systems; improve record-to-report, controls, and SOX readiness; drive ERP roadmap and modernization; collaborate with Finance, IT, vendors, and managed services; apply AI responsibly to improve analysis and operations.

Partner with engineering and cross-functional teams to define and measure infrastructure health, build metrics and dashboards, improve data foundations and pipelines, design experiments, run investigations into performance/reliability/cost, and translate ambiguous technical problems into actionable recommendations.

The Client Partner II manages Mid-Market advertiser relationships, driving revenue through digital advertising solutions, and requires strong sales and analytical skills.

Develop and prototype large-scale text-to-image generative models (Pinterest Canvas), collaborate on multimodal embeddings, collect and prepare visual training data (including RLHF and fine-tuning), ship models to production, publish research, and mentor junior researchers.

Lead strategy, technical development, and execution of Pinterest's billing systems. Expand and automate billing capabilities, design internal and external billing UIs, support new geographies and payment methods, collaborate cross-functionally, and use data and AI to drive measurable product and workflow improvements.

Lead design and implementation of Pinterest's exabyte-scale data lake storage and metadata systems. Drive architecture and execution for scalable storage features supporting large ML/AI workloads, collaborate across data/ML/infrastructure teams, and contribute to open-source projects (Iceberg, Spark, Flink).

Lead architecture and strategic direction for Pinterest's data warehouse, analytics tools, and data governance. Drive cross-functional initiatives to build scalable data platforms, AI-assisted pipeline tooling, and analytics capabilities. Mentor engineers, define policies and tooling, and deliver measurable adoption and business impact across the company.

The Machine Learning Engineer will develop and improve ML models for product surfaces, build data processing pipelines, and leverage machine learning technologies in advertisements.