This role is for a Security Software Engineer at Pinterest who will collaborate with engineers to tackle complex enterprise security challenges. The role involves designing and implementing innovative solutions to protect Pinterest's systems and data, with a focus on automation, secure engineering practices, and cross-functional collaboration. A key aspect of the role is the use of AI to accelerate analysis, iteration, and enhance security processes, alongside critical evaluation and verification of AI-assisted work.

This role is for a Sr. Security Software Engineer focused on application security at Pinterest. The engineer will build tooling, product enhancements, and work with teams to improve security posture and the secure development lifecycle. A key responsibility is to rework existing controls to address increased productivity due to AI and new AI threats. While the company uses AI extensively and the role will interact with AI-related security concerns, the core function is security engineering, not AI/ML model development.

Staff Software Engineer for Pinterest's Ads Measurement Products team. This role focuses on leading the architecture and technical direction of the measurement platform, including data pipelines, services, and AI enablement. The engineer will partner with Product and Data Science to ensure rigor, trust, and operational excellence in ads measurement.

Senior QA Engineer for Pinterest's tvScientific CTV advertising platform, focusing on web and API testing. The role involves manual and automation testing of frontend, backend services, and APIs, collaborating with engineers and product managers to ensure reliability, security, and performance. The candidate will also leverage and critically evaluate AI tools in their workflow.

This role is for a Sr. Data Scientist at Pinterest's tvScientific platform, focusing on optimizing CTV advertising campaigns using data science and ML. The role involves writing production code, designing and analyzing experiments, creating reporting tools, and translating insights into product features. While AI is used to improve speed and quality, the emphasis is on the application of ML fundamentals and rigorous evaluation of AI-assisted work within a product context.

Staff Data Engineer to lead the design, implementation, and evolution of identity services and a data governance platform, focusing on privacy-safe and well-governed data. The role involves building pipelines, ensuring matching logic, exposing data via APIs, and implementing privacy-by-design principles and regulatory compliance.

Senior Data Engineer role focused on building and scaling robust data infrastructure using AWS, Spark, and Scala. The role involves evolving core data pipelines, optimizing data storage, and collaborating with Data Science and Product teams to design data solutions. While the role emphasizes using AI tools to improve workflow and critically evaluating AI-assisted work, the core responsibility is data engineering, not direct AI/ML model development.

Principal Engineer to lead and scale the consolidation and modernization of Pinterest's compute platform (PinCompute), focusing on large-scale stateful and GPU-heavy AI workloads. The role involves designing and building around Kubernetes, handling stateful systems, optimizing workload utilization, and evolving the platform towards multi-cloud capabilities. Emphasis on delivering GPU resources for AI workloads and leveraging AI tools for migration, operations, and development velocity.

Staff Software Engineer on the Programmatic Ads team at Pinterest, focusing on integrating with external demand partners, driving performance optimization for ad products, and building internal tools. The role involves leading partner integrations, using AI to accelerate team execution and decision-making, driving the full software development lifecycle, and mentoring junior engineers. Requires significant backend software engineering experience in large-scale distributed systems and experience with ad serving platforms. A strong emphasis is placed on the ability to leverage AI effectively and critically evaluate AI-assisted work, ensuring high standards of technical excellence and ownership.

This role leads company-wide programs to improve developer productivity using AI-assisted coding, validation, and deployment. It involves driving the roadmap for AI-native engineering practices, partnering with various teams to standardize workflows, and defining operational metrics and guardrails. The role requires navigating ambiguity, aligning stakeholders, and communicating with senior leadership.

Data Scientist role focused on ads delivery and optimization at Pinterest. The role involves evolving ad strategy, improving experimentation, leading technical projects, and communicating findings. While AI is mentioned as a tool to augment creativity and amplify impact, and candidates are expected to leverage AI for faster execution and synthesis, the core responsibilities are centered around traditional data science, experimentation, and ad delivery systems, not building or researching AI models themselves. The role is classified as consumer domain, mature AI maturity, and L6 (shipped product) due to its focus on optimizing ads, which are a core product feature.

This role is for a Sr. Fullstack Software Engineer on the Security Privacy team at Pinterest. The primary focus is on architecting and implementing solutions to protect user privacy and ensure compliance with privacy regulations across backend and client platforms, including mobile applications. While the role involves leveraging AI tools for development tasks and shaping AI-assisted engineering practices, its core function is not building AI models or systems, but rather ensuring the security and privacy of the platform and its users. The role requires strong software engineering skills, expertise in privacy regulations, and the ability to mentor others.

This role focuses on building and improving backend systems and statistical models for Pinterest's ads delivery marketplace, aiming to maximize value for users, partners, and the company. It involves defining and implementing experiments, developing strategies for business objectives, and driving cross-functional collaboration. The role is primarily focused on shipping AI-powered products within the consumer domain.

Senior Data Scientist at Pinterest focused on shaping people-facing and business-facing products. The role involves quantitative modeling, experimentation, and algorithms to solve complex engineering challenges. A key aspect is leveraging AI tools for faster execution, information synthesis, and automating tasks, with a strong emphasis on critically evaluating AI-assisted work and maintaining high integrity.

This role focuses on applying quantitative modeling, experimentation, and algorithms to shape people-facing and business-facing products at Pinterest. The data scientist will develop best practices for instrumentation and experimentation, bring scientific rigor to product challenges, build analysis pipelines, and collaborate cross-functionally to deliver insights and build new experiences. The role emphasizes using machine learning and deep learning frameworks to solve complex engineering challenges and influence product development for millions of users.

This role is for a Sr. Data Scientist on the Monetization Engineering team at Pinterest. The primary focus is on analyzing and improving the ads ecosystem through data-driven strategies, modeling, and experimentation. While AI is mentioned as a partner, the core responsibilities revolve around traditional data science tasks like strategic analysis, opportunity sizing, segmentation modeling, experimentation, and metric tracking within the ads domain. The role emphasizes end-to-end ownership of data products and collaboration with cross-functional teams.

Senior Full Stack Software Engineer at Pinterest focused on building large-scale products and enabling new technologies and experiences. The role involves supporting core application pieces, identifying and shipping site-wide solutions, improving developer efficiency, and solving user pain points. A key aspect is leveraging AI tools for faster execution, information synthesis, and task automation, with a strong emphasis on critically evaluating and verifying AI-assisted work.

Senior Backend Engineer role at Pinterest, focusing on building Pinner-facing features and large-scale distributed systems. The role involves leveraging AI tools for faster execution and information synthesis, with a strong emphasis on critical evaluation and verification of AI-assisted work. While AI is mentioned as a partner and tool, the core craft is backend engineering, not AI/ML model development.

Backend engineer role at Pinterest focused on building Pinner-facing features and large-scale distributed systems. The role emphasizes leveraging AI tools for faster execution, information synthesis, and improving workflow quality, while also requiring critical evaluation of AI-assisted work and high integrity.

Backend engineer role at Pinterest focused on building consumer-facing features. The role emphasizes leveraging AI tools for faster execution and synthesis of information, alongside critical evaluation of AI-assisted work. While AI is a partner, the core craft is backend engineering, not AI/ML model development.

Staff Software Engineer focused on building and optimizing Pinterest's batch processing platform and infrastructure using big data technologies like Spark, Presto/Trino, and Iceberg, handling petabytes of data. Responsibilities include design, implementation, optimization, collaboration, technical leadership, and mentorship.

Senior Backend Engineer role at Pinterest, focusing on designing, building, and scaling contract and billing systems for the tvScientific CTV advertising platform. The role involves developing backend services for various contract structures and billing models, ensuring accuracy, auditability, and reliability. It emphasizes domain modeling, data integrity, and sound engineering judgment, with a requirement to leverage AI tools for workflow improvement while maintaining critical evaluation of AI-assisted work.

This role is for a Vendor Security Analyst at Pinterest. The primary responsibilities include performing vendor security assessments, maintaining and improving the vendor security program, and ensuring vendor security issues are identified and remediated. The role also involves acting as a Subject Matter Expert (SME) for high priority vendor security reviews, including those related to AI tooling, and supporting the broader Security Governance, Risk & Compliance program. While the company mentions AI as a partner and the role will review AI tooling, the core function of the role is security risk analysis and compliance, not AI/ML development.

Staff Engineer to lead architecture and technical direction for Pinterest's conversion data privacy platform, focusing on safe and compliant use of conversion data for ads reporting and monetization. This involves designing and evolving privacy-critical pipelines and services, including controlled data environments, access controls, privacy rules enforcement, and de-identification pipelines. The role requires partnering with Product, Data Science, Legal, and infrastructure teams to set technical standards for data privacy at scale and mentor other engineers.

This role is for a Payroll Administrator II at Pinterest, responsible for overseeing the day-to-day operations of the International Payroll function. The administrator will ensure timely and accurate payroll processing for non-US countries, manage statutory obligations, and act as a point of contact for payroll inquiries and discrepancies. The role involves partnering cross-functionally on business initiatives and payroll projects, supporting special projects, and staying updated on international payroll laws and regulations. The ideal candidate has 3+ years of international payroll operations experience, experience with global payroll platforms, and a strong understanding of global payroll practices and compliance.

Staff Software Engineer for Pinterest's Cloud Platform team, focusing on building and operating large-scale Kubernetes-based infrastructure (PinCompute). The role involves defining technical strategy, leading infrastructure initiatives (service mesh, multi-region architectures), modernizing the stack, architecting solutions for scalability and reliability, driving adoption of cloud-native patterns, and providing technical leadership. The engineer will also leverage AI tools for development and shape AI-assisted engineering practices.