Top Tech Jobs & Startup Jobs

Own performance strategy for key accounts, driving optimization, product adoption, experimentation, and revenue growth. Develop playbooks, analyze KPI trends, manage performance dashboards, resolve complex campaign issues, and translate insights into actionable recommendations. Partner with Sales, Customer Success, Ad Operations, Measurement, Product, and Supply teams while supporting reviews and mentoring others. Use AI to accelerate diagnostics and experimentation while ensuring accurate, explainable customer-facing insights.

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.

Conduct quantitative UX research using surveys, statistical modeling, and log analysis to understand user attitudes and behavior. Translate findings into compelling insights that inform Pinterest’s product roadmap and business decisions. Collaborate with product managers, engineers, designers, data professionals, and researchers on impactful user experiences.

Conduct cutting-edge machine learning and AI research applied to Pinterest products. Interns lead projects, develop and evaluate production ML systems, work across algorithms, data engineering, infrastructure, training, inference, and product integration, and write sustainable code. They will use AI-assisted development tools, validate generated outputs for correctness and security, investigate bugs, collaborate with researchers and engineers, and communicate solutions to open-ended technical problems.

Data Science interns will use quantitative analysis, statistical modeling, data mining, experimentation, and exploratory analysis to understand user behavior, identify product opportunities, and develop actionable insights. They will design metrics, evaluate A/B tests, explore experimentation methods, analyze user and advertiser preferences, and collaborate with product, engineering, design, and research teams to influence Pinterest’s product roadmap.

Conduct machine learning and AI research applied to Pinterest problems. Build and improve large-scale production ML systems spanning algorithms, infrastructure, data engineering, training, inference, and product integration. Develop clean code, validate AI-generated outputs, use AI-assisted engineering tools, investigate bugs, and independently deliver projects while collaborating with engineering and research teams.

Data Science interns will use exploratory analysis, statistical techniques, modeling, data mining, and experimentation to understand user behavior, develop product metrics, evaluate A/B tests, and identify product opportunities. They will collaborate with product managers, engineers, designers, and researchers, translating analytical insights into product improvements and business impact while thoughtfully using and validating AI-assisted approaches.

Software engineering interns will complete scoped technical tasks, write tested and documented code, use AI-assisted engineering tools, collaborate with cross-functional teams, and contribute to real Pinterest projects. They will work with mentors while developing large-scale systems knowledge and professional communication skills.

Set technical vision for Pinterest’s Product ML Infrastructure, leading distributed model training, fine-tuning, evaluation, and high-scale CPU/GPU inference. Improve GPU efficiency, data loading, execution, kernels, memory, compilation, quantization, scheduling, and capacity. Build reliable, observable training and serving platforms, drive architecture decisions and migrations, partner with AI/ML teams, mentor senior engineers, and establish operational standards across the organization.

Leads Pinterest’s advertiser measurement and signal-quality engineering organization, defining multi-year strategy across machine learning, data platforms, experimentation, privacy, and reliability. Manages managers and senior technical leaders, partners with product and cross-functional teams, drives scalable solutions for advertiser challenges, improves model quality and data integrity, establishes governance mechanisms, communicates with executives, and builds an inclusive high-performing organization.