As a principal engineer on the Online Systems team, you’ll join a team that powers Pinterest’s most business-critical online systems at massive scale, driving the reliability, efficiency, and evolution behind every core Pinner and Advertiser experience. You'll lead major efforts like multi-region deployment and Kubernetes migration, set the standard for operational excellence, and define the long-term vision for our online serving infrastructure, supporting machine learning and product innovation across the company. This is an opportunity for high-impact technical leadership, broad visibility, and cross-functional influence at the heart of Pinterest’s platform.

What you’ll do: 

• Improve reliability, scalability and infra efficiency for Pinterest’s critical online systems across storage and caching, online service and realtime analytics systems to support continued business growth.
• Lead cross-functional strategic initiatives to modernize Pinterest’s online serving stack through multi-region deployment, Kubernetes migration, and the adoption of cutting-edge technologies and industry best practices.
• Quality champion for online systems and the broad engineering organization, holding a high bar on execution quality and operational excellence.
• Drive the online systems vision and strategy for the next 3 years and beyond, and translate that strategy into cross-functional roadmaps with measurable outcomes.
• Foster a diverse and inclusive engineering culture that makes all feel welcome, and invest in mentorship, critical thinking, and candid feedback to strengthen individual and organizational growth.
  
  

What we’re looking for:

• 12+ years of software engineering experience with deep expertise in distributed systems, especially online serving, storage, and caching systems: hands-on experience building and operating highly available, reliable, production-grade systems at large scale; strong technical judgment in reliability, scalability, performance, and infrastructure efficiency; proficiency in at least one of C++, Java, or Python.
• Proven track record driving large-scale technical impact: experience leading reliability and scalability improvements, cost efficiency initiatives, and modernization efforts across critical production systems; able to define technical strategy, influence architecture decisions, and drive execution through cross-functional collaboration, strong communication, and operational excellence.
• Strong ownership, quality mindset, and thoughtful use of AI: demonstrates high standards for engineering quality, integrity, and accountability for final outcomes; able to use AI to accelerate analysis, debugging, design exploration, or operational workflows while applying critical thinking, validating correctness, and maintaining sound technical judgment rather than outsourcing ownership to tools.
• Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.
  
  

Relocation Statement: 

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices.

#LI-HYBRID

#LI-CL5

We’re looking for a Staff Software Engineer to help us build a high-performance, efficient, and easy to use batch processing platform and infrastructure at Pinterest. You’ll be working on some of the most exciting big data open source technologies such as Spark, Presto/Trino, Iceberg, etc. at the scale of hundreds of petabytes of data to bring everyone the inspiration to create a life they love. 

What you’ll do:

• Design, implement, and optimize Pinterest’s batch processing infrastructure.
• Collaborate with cross-functional teams to understand data needs.
• Lead technical projects and initiatives, driving them to completion.
• Mentor and guide junior engineers on best practices and architecture.
• Ensure the reliability, scalability, and efficiency of data systems.

What we’re looking for:

• 6+ years of experience building and supporting large scalable big data infrastructure/platforms
• Extensive experience with big data query technologies such as Spark SQL or Presto/Trino.
• Proven skills in designing and maintaining scalable data infrastructure.
• Proficiency in programming languages like Java, Scala, or Python.
• Strong problem-solving abilities and a drive for innovation.
• Excellent communication skills and the ability to collaborate across teams.
• Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  

#LI-REMOTE
#LI-AH2

We are looking for a technically deep Engineering Manager to help define the future of the agent platform at Pinterest. Working closely with cross-functional engineering teams, product, and researchers, you'll lead a small and nimble team playing a pivotal role in architecting and scaling the systems that bring intelligent agent experiences to life. You will guide your team in designing and building the foundational platforms, from agent serving and evaluation to tracing and monitoring, that enable Pinterest's next generation of agent capabilities. You will grow and empower engineers while shaping how we build with and for agents at scale across the company.

What you'll do:

• Define the direction of Pinterest's agent platform and build critical components such as agent serving, evaluation, and monitoring.
• Partner with and advise internal product and engineering teams on agent tech stack needs to shape the future vision for the agent platform.
• Lead the team's technical direction and roadmap for key agent infrastructure and platform investments.
• Hire, mentor, and grow engineers across all levels, fostering a culture of technical excellence, ownership, and continuous learning.
• Use AI to accelerate team execution, system design, and decision-making, applying sound judgment to validate outputs and ensure correctness and quality.
  
  

What we're looking for:

• 1+ years of experience leading and growing engineering teams, with a strong hands-on background in Python.
• 7+ years of industry experience designing, building, and operating scalable, highly available backend systems, including owning production-grade infrastructure at scale.
• Proficiency in designing and delivering agent platform services end-to-end, with hands-on experience across agent evaluation frameworks, prompt iteration workflows, and harness engineering.
• Experience with cloud infrastructure on AWS and containerized services using Docker and Kubernetes.
• Demonstrated technical leadership and people management experience, including setting team vision and long-term roadmap, mentoring and growing engineers across all levels, driving day-to-day execution and engineering alignment, and partnering cross-functionally to deliver complex, high-impact platform investments.
• Demonstrated ability to use AI to accelerate team execution, system design, and decision-making, paired with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience.
  
  

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. 
  
  

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 #LI-HYBRID

#LI-AH2

We are looking for bold, technically deep Staff Backend Software Engineers to help define the future of the agent platform at Pinterest. Working closely with cross-functional engineering teams, product, and researchers, you'll play a pivotal role in architecting and scaling the systems that bring intelligent agent experiences to life. You will design and build the foundational platforms, from agent serving and evaluation to tracing and monitoring, that enable Pinterest's next generation of Agent capabilities. You will guide and empower engineering teams across the company, shaping how we build with and for agents at scale. Because we believe that transformative progress requires both technical rigor and courageous vision, you'll be invited to set direction, drive alignment, and lead initiatives from inception through technical design, implementation, and release.

What you'll do:

• Define the technical direction and roadmap for Pinterest's agent platform, including critical components such as agent serving, evaluation, monitoring, and tool calling.
• Design and build scalable, highly available infrastructure that supports production-grade agent services operating at company scale.
• Partner with and advise internal product and engineering teams on agent tech stack needs, shaping the future vision of the agent platform.
• Lead day-to-day technical alignment across teams, driving execution on key agent infrastructure investments and complex cross-functional platform initiatives.
• Use AI to accelerate system design, prototyping, and technical decision-making, applying sound judgment to validate outputs and ensure correctness and quality.
• Synthesize emerging research and advances in agent technology, translating breakthroughs into actionable platform improvements.

What we're looking for:

• 2+ years of experience building agent systems, with a strong understanding of core agent platform components such as memory, serving, evaluation, harnesses, and tool calling.
• 7+ years of experience building scalable, highly available backend systems, including designing and operating infrastructure that supports production-grade services at scale.
• Experience with cloud-native infrastructure and service deployment technologies such as Kubernetes and Docker, with a strong understanding of how to deploy and manage large-scale services reliably.
• Demonstrated technical leadership in setting roadmap and driving execution — including defining technical direction, leading engineering alignment, and partnering across teams to deliver complex platform investments.
• Demonstrated ability to use AI to accelerate development, system design, and decision-making, with sound judgment in validating outputs, maintaining quality, and taking ownership of final outcomes.
• Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
• High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
• Bachelor's degree in a relevant field such as Computer Science or Engineering, or equivalent experience.

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. 
  
  

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  

#LI-HYBRID

#LI-AH2

Pinterest operates at a massive scale, serving 500+ million users globally with billions of requests daily. Our Cloud Platform team owns the foundational infrastructure technology that powers Pinterest's entire ecosystem. We're building PinCompute, our next-generation Kubernetes-based platform that will eventually run all of Pinterest's workloads and services. This platform represents a multi-year transformation of how we build, deploy, and operate services at Pinterest scale.

We're looking for an exceptional Staff Software Engineer to lead the technical strategy and execution of our cloud infrastructure initiatives. You'll shape how Pinterest engineers build and deploy services, driving innovation in areas like container orchestration, service mesh, developer experience, and cloud-native architectures at Internet scale.

What you'll do

• Define and drive the multi-year technical strategy for Pinterest's Cloud Infrastructure platform, focusing on our Kubernetes-based PinCompute platform that hosts thousands of services and petabytes of data.
• Lead the design and implementation of complex, cross-team infrastructure initiatives including service mesh adoption, multi-region architectures, and developer platform capabilities
• Partner with teams across Pinterest to modernize our infrastructure stack, improving developer velocity while reducing operational complexity and costs
• Architect solutions for critical infrastructure challenges including auto-scaling, resource optimization, traffic management, and service reliability at Pinterest scale
• Drive adoption of cloud-native patterns and technologies across the engineering organization, establishing best practices and reference architectures
• Provide technical leadership during critical incidents and architect solutions to prevent recurrence
• Influence the broader Kubernetes and cloud-native community through open source contributions and conference presentations
• Mentor senior engineers and technical leads across multiple teams, developing the next generation of infrastructure leaders
• Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow.
• Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations.

What we're looking for

• 7+ years of experience building and operating large-scale production infrastructure.
• Expertise with multi-tenant cluster orchestration systems such as Kubernetes, container orchestration, and cloud-native architectures is beneficial.
• Proven track record of leading multi-year infrastructure transformations at internet-scale companies (billions of requests/day, thousands of services).
• Background in service mesh technologies and traffic management at scale.
• Expertise in infrastructure-as-code, GitOps, and modern CI/CD practices.
• Experience building developer platforms and tools that improve engineering productivity across hundreds of engineers.
• Proficiency in C++, Go, or Java, with ability to contribute to infrastructure codebases.
• Track record of driving cross-organizational technical initiatives with measurable business impact
• Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available.
• Bachelor's/Master's degree in Computer Science or equivalent experience.

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times per week and therefore needs to be in a commutable distance from one of the following offices: Zurich.

#LI-HYBRID 

#LI-JD1

The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. We strive to provide effortless, efficient, and reliable data products and platforms that power the entire company. We achieve this by investing in three core areas:

1. Data Warehouse: Building and managing the foundational data warehouses that enable key analyses across both our core engagement and monetization products.
2. Analytical Velocity: Creating powerful analytical tools that empower internal data users to leverage our vast data assets and capable infrastructure effectively.
3. Data Governance: Defining and implementing the data governance policies and tools necessary to ensure the responsible, efficient and compliant storage and handling of all data.

We are seeking a Sr. Staff Software Engineer to provide technical leadership and direction across these three pillars. In this role, you will be instrumental in architecting and driving solutions that handle increasing data volume, navigate business complexity, accelerate analytical velocity, and build the foundation for our next generation of AI analytics products. If you are passionate about building world-class data ecosystems at massive scale, we invite you to lead our efforts.

What you’ll do: 

• Spearhead the definition and design of Pinterest's data warehouse architecture, storage, governance, and usage.
• Set the strategic direction for world-class data analytics tools, including experimentation platforms, ad hoc analysis systems, data visualization, data pipeline authoring, and AI-assisted data analytics capabilities.
• Define, design, and drive the adoption of comprehensive data governance policies and tooling to ensure data quality, promote responsible data handling, and maximize efficiency.
• Lead ambiguous, highly challenging, and cross-functional initiatives across the data ecosystem, expertly managing trade-offs among unique requirements and constraints (e.g., usability, efficiency, and compliance) to deliver a cohesive user experience.
• Drive measurable adoption and significant business impact across the entire product portfolio through platform and tooling initiatives.
• Mentor and elevate the technical bar for engineers, providing leadership on complex technical design, execution strategies, and critical trade-off decisions.
• Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand user needs, drive alignment and drive progress.
  
  

What we’re looking for:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 12+ years of relevant industry experience with large scale data warehouses, data tools and platforms. 
• 5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc.
• Ability to work with cross-functional partners across multiple organizations.
• Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc.
• Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity.
  
  

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  

In-Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-AH2

Sr. Engineering Manager, AI/ML Serving Platform

The AI/ML Serving Platform team provides foundational tools and infrastructure used by hundreds of AI/ML engineers across Pinterest, including recommendations, ads, visual search, growth/notifications, trust and safety. We aim to ensure that AI/ML systems are efficient, healthy (production-grade quality) and fast (for modelers to iterate upon).

Pinterest is seeking a Sr. Engineering Manager to lead the team that builds the serving and deployment infrastructure for all AI/ML models at Pinterest. Systems include:

• Ultra-high-performance C++ model inference engine for production recommendations and content ranking systems. TorchScript + CUDA Graph models on GPU inference, serving 500+M inferences/second.
• Production GenAI & LLM model inference stack for emerging use cases.
• Model routing, deployment, monitoring. Kubernetes-based provisioning.
• Feature fetching, caching, and logging

What you’ll do

• Lead the team to deliver continual improvements in advanced model architectures, cost-efficient resource utilization, and AI/ML developer productivity.
• Set technical direction for the team based on company and org priorities
• Coach and develop talent on the team.

What we’re looking for:

• Experience managing platform engineering teams with many cross-organizational customers
• Experience leading the development of large-scale distributed serving systems
• Experience with AI/ML inference technologies (e.g. PyTorch, TensorFlow) for online serving at Web scale
• Bachelor’s degree in Computer Science, a related field or equivalent experience.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. 

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

#LI-REMOTE

#LI-AH2

Pinterest is seeking a Sr. Engineering Manager to lead the Content Acquisition & Media Platform (CAMP) team. The CAMP team owns the critical platforms for content acquisition, media ingestion and media signal processing. The team closely collaborates with multiple partner teams bringing the most inspiration content to Pinterest to enhance the content foundation of all products, adopting LLM/VLM in a near real-time system to understand content and build fundamental signals for LLM innovations, and standing in the frontier to meet GenAI compliance requirements.

What you’ll do: 

• Lead a cross-platform team responsible for content acquisition, media ingestion and media signal platform.
• Set the team’s technical direction and drive execution on quality, performance, and reliability 
• Partner closely with Content, Shopping catalog and GenAI teams to improve Pinterest content ecosystem.
• Guide the team through platform and architectural decisions, balancing product needs, technical investments, and long-term maintainability.
• Build and grow a high-performing team through hiring, coaching, and developing engineers.
• Raise the bar on engineering excellence through strong operational practices, performance measurement, testing, and release quality.
• Help Pinterest to meet GenAI compliance requirements
• Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow.
• Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations.

What we’re looking for:

• 9+ years of software engineering experience, including distributed system and big data platform
• 5+ years of engineering management experience leading strong client or platform engineering teams.
• Deep understanding of crawling system, media ingestion, understanding and management, big data process.
• Familiarity with search and recommendation system, GenAI compliance.
• A track record of delivering meaningful improvements to product experience, system performance, or engineering efficiency.
• Ability to lead work across platforms and collaborate effectively with cross-functional partners.
• Clear communication skills, strong technical judgment, and a people-focused leadership approach.
• Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available.

Relocation Statement: 

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement: 

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1 time a week and therefore needs to be in a commutable distance from one of the following offices Palo Alto, San Francisco, Seattle

#LI-HYBRID 

#LI-SG1