Principal Engineer at Pinterest leading the integration of AI in software development processes. Driving technical strategy for agentic engineering to transform engineering workflows.
Responsibilities
Define and drive Pinterest's technical strategy for agentic engineering — building the platform where AI agents write code, review pull requests, debug production incidents, and orchestrate development workflows across 3,000+ engineers
Architect and ship production systems — modular agent runtimes, persistent memory, multi-agent orchestration (planner, executor, reviewer, tool agents), sandbox isolation, evaluation pipelines, governance (trust boundaries, code generation policies, credential protection, audit trails), and enterprise-grade security
Reimagine Pinterest's SDLC — transforming coding, testing, reviewing, deploying, and monitoring into an AI-native lifecycle where humans move from "in the loop" to "on the loop"
Own developer velocity measurement — telemetry, benchmarking, and evaluation systems that track agent quality, reliability, cost, and engineering throughput, building structured feedback loops that compound toward order-of-magnitude velocity gains
Serve as technical force multiplier across Platform, Infrastructure, and Engineering Acceleration — integrating AI-native workflows with Pinterest's monorepo tooling, CI/CD pipelines, observability, and code quality systems while providing architectural direction, making disciplined build-vs-buy decisions, and setting quality standards through reference implementations
Drive engineering-wide adoption — through compelling prototypes, reference architectures, technical evangelism, and documentation that makes the abstract concrete
Build strategic relationships with AI platform vendors — such as Anthropic, OpenAI, AWS, Google and contribute to open-source agentic frameworks to keep Pinterest at the leading edge
Translate ambiguous business opportunities into precise engineering investments with strong product sensibility — building platforms with the developer experience and adoption characteristics that generate real impact
Serve as key technical advisor and delegation point — working with the Sr. Director, Engineering Acceleration, VP, Infrastructure, and Chief Architect — shaping investment priorities and multi-year technical direction
Requirements
12+ years of software engineering experience with deep expertise in building developer platforms, internal tooling, or engineering infrastructure that measurably changed how engineers work at scale
Demonstrated hands-on experience designing and shipping agentic AI systems in production — including knowledge and context engineering, persistent memory architectures, multi-agent orchestration frameworks (LangChain, LangGraph), tool integration, and production observability for AI systems
Experience working in large-scale monorepos or complex multi-service codebases and understanding the unique tooling, navigation, and developer workflow challenges they create
Familiarity with agentic development best practices — AGENTS.md conventions, skills frameworks, prompt engineering for code agents, and hands-on experience accelerating developer velocity through AI-powered IDEs and local agentic workflows
Track record of driving sweeping technical change across large engineering organizations (500+ engineers) without direct authority — through compelling vision, high-quality reference implementations, and credibility earned from shipping systems that work
Deep understanding of modern SDLC tooling and workflows: code review systems, automated testing, CI/CD pipelines, static analysis, and the judgment to know how these systems must evolve when AI becomes a first-class participant
Exceptional cross-functional influence and communication skills — comfortable operating across Security, Infrastructure, Platform, and Product Engineering. Able to handle complex technical conversations at any level, from staff engineers to CTO
Strong product sensibility and business judgment — ability to convert ambiguous opportunities into precise technical direction, understand developer needs before they're articulated, and build platforms that developers want to adopt
Bachelor’s degree in Computer Science, a related field or equivalent experience.
Benefits
Visit our PinFlex page to learn more about our working model.
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