Role Description Design, architect, and build backend systems within the Pinterest Ads platform to enable a seamless end-to-end commerce and purchasing experience. - Lead the modernization and scalability initiatives by defining service boundaries and APIs, and improving reliability, performance, and observability across distributed services. - Evolve core commerce integration capabilities, including expanding our merchant ecosystem and strengthening third-party platform integrations. - Own data integrity and reporting for commerce campaigns by building and operating large-scale pipelines and workflows to ensure accurate, timely performance data. - Develop conversion and measurement tooling, including experiment gating, telemetry standards, and safe-deploy guardrails to improve delivery reliability and operational quality. - Help design and deploy enterprise-ready authentication and SSO capabilities with strong session management and SLO-driven reliability. - Partner closely with Product, Data Science/Analytics, and cross-functional engineering teams to drive requirements, technical design, and successful rollouts. - Mentor other engineers through code reviews and technical guidance while building foundational capabilities that unlock future commerce experiences on Pinterest. Full-time telecommuting is an option. Qualifications - Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Computer Engineering or closely related quantitative discipline. - Four (4) years of experience in the job offered or in any occupation in related field. Requirements - Must have at least four (4) years of experience in the following tools and technologies: - Design scalable backend services meeting reliability, fault-tolerance, and performance requirements. - Execute full backend SDLC in Java, including design reviews, implementation, cross-functional coordination, release, and production support. - Build RESTful service-to-service APIs using JSON over HTTP. - Develop high-volume data processing and ETL workflows using Spark/PySpark. - Orchestrate batch workflows and backfills using Apache Airflow. - Design and implement streaming ingestion and pipeline architectures using Kafka and Spark. - Design and implement retrieval-augmented generation (RAG) data pipelines, including embedding generation and semantic retrieval. - Integrate LLM/GPT-backed product features, including prompt iteration and safety guardrails. - Implement ads compliance and privacy controls, including content policy/review workflows and GDPR-aligned safeguards. - Develop ads delivery backend components supporting serving workflows and large-scale selection/targeting logic. - Implement ads measurement and analytics instrumentation, including event taxonomy design, engagement/conversion tracking, and telemetry/logging. - Write and optimize SQL for analytics and backend troubleshooting (e.g., Presto SQL). - Define test plans and perform unit testing (e.g., JUnit) for backend services. - Version control using Git-based workflows (branching, pull requests, code review). - Develop Hadoop ecosystem workloads using HDFS/YARN, including contributing to open-source Apache Hadoop/HDFS through patch review, backporting, and production integration. Benefits - Salary: $200,096.00 - $254,667.00 per annum. - Full-time telecommuting is an option. Company Description Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

• Leading development efforts, mentoring engineers and product managers, and making key architectural decisions that involve Data Science, Machine Learning and AI. • Partner with Sales, Marketing, Customer Support and other departments across the organization for a full end to end ownership from the product and technical perspective as well as internal enablement and customer support. • Develop greenfield projects and implement proof of concepts, including hands-on coding and connection to the product vision. • Architect end-to-end AI systems by choosing the best AI approach (Data Science, Statistics, Machine Learning and Generative AI) for the problem to be solved, considering all relevant trade-offs and risks, and work hands-on directly in the code with other engineers. • Bridge the gap between data science and product by translating applicable complex problems into holistic AI solutions, including the UX and UI, and leading its development while also managing from the product management perspective. • Use data-driven solutions to address complex cybersecurity problems. • Be responsible for the pipeline metrics and work hands-on with MLOps to optimize model and pipeline performance through proper monitoring, data mining, fine-tuning, prompt engineering, and hyperparameter tuning to meet latency and cost requirements. • Drive technical strategy by evaluating third-party AI tools versus building in-house solutions to maximize ROI. • Establish data governance and security standards to ensure the ethical and compliant use of sensitive information within AI models. • Create and implement incremental development and implementation plans based on a product long term vision.

• Design, implement, and maintain backend services and APIs that support core product features. • Work with Postgres database to model data, write efficient queries, and ensure data integrity and performance. • Collaborate with frontend engineers, product managers, and designers to support end-to-end feature development. • Write clean, well-tested, and maintainable code following established engineering best practices. • Participate in code reviews, debugging, and production issue resolution with guidance from senior engineers. • Learn and apply secure, scalable backend patterns while contributing to the continuous improvement of our systems.

• Operate as the agentic AI engineering expert on the Internal Efficiencies team, collaborating closely with other engineers, data scientists, solution / product experts, and customer success leaders to deliver against user / customer deliverables • Contribute to defining agentic AI deliverables from inception to completion, ensuring timely delivery and high-quality outputs • Leverage agentic AI tools on a daily basis to deliver code and create solutions against customer / user requirements • Develop and maintain strong relationships with all Internal Efficiencies team members as well as engineering subject-matter experts across Viaduct • Work with customer success and solution / product team members to scope user/customer needs and translate them into actionable analytics solutions • Deliver against deliverables with quality and speed, contributing new features to solutions and products, refactoring code, improving tests, automating manual processes, and owning other engineering tasks • Stay updated with the latest trends and related technologies and apply them to improve our software