Staff Software Engineer, Workflow Platform

Pinterest, Inc.; United States; Hybrid; USD 177,000 - 365,000; Full time

Benefits offered by this job

Equity eligibility

Job summary

Pinterest, Inc. is seeking a staff-level engineer to lead the workflow and data context platform powering large-scale data engineering, ML pipelines, and model training. This hands-on technical leadership role emphasizes reliability, performance, and cross-org influence with open-source collaboration.

You will steer the platform toward AI-native capabilities, mentor engineers, and set standards to help teams build pipelines, train models, and govern data assets across the company.

Qualifications

• 10+ years of experience designing, building, and operating large-scale production distributed systems.
• Experience designing and maintaining infrastructure platforms used by a wide engineering audience.
• Proficiency in Python or Java for production systems.
• Ability to lead complex technical initiatives and influence architecture across teams.
• Strong collaboration, communication, and problem-solving skills.
• Bachelor's degree in Computer Science or related field, or equivalent practical experience.

Responsibilities

• Own the architecture and operation of the workflow platform and data context platform.
• Drive complex technical initiatives from architectural design through execution, partnering with engineering, data science, and ML stakeholders.
• Strengthen reliability, performance, and scalability of the platform while shaping its long-term technical direction.
• Lead the platform's evolution toward AI-native capabilities and contribute to relevant open-source communities.
• Define standards and paved paths that make it easier for partner teams to build pipelines, train models, and produce governed data assets.
• Mentor engineers and influence architecture decisions across multiple teams without relying on direct reporting lines.

Skills

Python

Java

Technical leadership

Distributed systems

Communication

Education

Bachelor's degree in Computer Science or related field

Job description

Role overview

Staff-level engineer role leading the workflow and data context platform that powers large-scale data engineering, ML feature pipelines, model training, and business-critical metrics. The work centers on operating and modernizing an internal data control plane built on open-source foundations, with a mandate to evolve the platform toward an AI-native direction. This is a hands-on technical leadership position with significant cross-org influence and direct engagement with upstream open-source communities.

Responsibilities

• Own the architecture and ongoing operation of the workflow platform and data context platform that underpin the broader data ecosystem.
• Drive complex technical initiatives from architectural design through execution, partnering with engineering, data science, and ML stakeholders.
• Strengthen reliability, performance, and scalability of the platform while shaping its long-term technical direction.
• Lead the platform's evolution toward AI-native capabilities and contribute to relevant open-source communities.
• Define standards and paved paths that make it easier for partner teams to build pipelines, train models, and produce governed data assets.
• Mentor engineers and influence architecture decisions across multiple teams without relying on direct reporting lines.

Requirements

• 10+ years of industry experience designing, building, and operating large-scale production distributed systems.
• Demonstrated background designing and maintaining infrastructure platforms used by a wide engineering audience.
• Proficiency in Python or Java for production systems.
• Proven ability to lead complex technical initiatives and influence architecture across teams.
• Strong collaboration, communication, and problem-solving skills, with a drive for technical excellence.
• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Benefits and work setup

• Remote-eligible within the US, with in-person collaboration expected roughly one to two times per quarter; relocation assistance is not provided.
• Base salary range of $177,185–$364,795 USD, plus equity eligibility.