Staff Software Engineer

Quick Facts

• Role: Staff Software Engineer (technical leadership)
• Focus: Merchant onboarding, activation, and growth via agent-enabled experiences and personalized recommendations

Description

Lead the architecture and delivery of scalable, MCP-first systems for merchant onboarding, activation, and growth experiences. Partner with Product and engineering leaders to shape the growth roadmap, design integrations using merchant signals and personalized recommendations, and build agent-enabled experiences with clear measurement of business impact. Use AI to accelerate prototyping and iteration while applying judgment and verification to ensure quality, reliability, and user trust.

Responsibilities

• Lead architecture and delivery of scalable MCP-first systems for merchant onboarding, activation, and growth
• Partner with Product to shape a growth roadmap and convert high-value concepts into production experiences
• Design integrations that apply high-quality merchant signals and personalized recommendations across Pinterest surfaces and approved external agent ecosystems
• Build agent-enabled experiences to improve merchant readiness and campaign creation, with clear measurement of contribution to business impact
• Use AI to accelerate prototyping, analysis, and iteration with judgment and verification
• Improve the team’s AI harness across development, testing, quality validation, and service operations
• Raise the technical bar via technical direction, design reviews, and coaching

Requirements

• Experience leading architecture and delivery for complex software systems across product surfaces, backend services, data signals, and external integrations
• Experience designing agent-enabled systems and MCP-based integrations with strong judgment around reliability, security, data quality, and user trust
• Experience partnering with Product to shape roadmaps, prototype new ideas, and make technical tradeoffs supporting growth goals
• Experience in experimentation, measurement, and causal thinking connecting product/technical decisions to business impact
• Experience improving AI-first engineering team effectiveness through technical direction, design reviews, coaching, and practical improvements to AI-assisted development/testing/operations
• Demonstrated ability to use AI to improve speed and quality in daily workflow while critically evaluating and verifying AI-assisted work
• Bachelor’s degree in computer science or equivalent work experience
• In-office collaboration 1 time per week, commutable to SF, Palo Alto, Seattle, NYC, or Los Angeles

Benefits

• Base salary range: $208,454–$364,795 USD
• Eligible for equity