FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates deep expertise in building and evolving large-scale indexing and retrieval systems, with a strong focus on real-time architectures and cost-efficient distributed infrastructure. Proven ability to lead technical teams, influence stakeholders, and drive complex platform decisions while ensuring high standards of data integrity and system performance.
Highest-signal resume keywords
Large-Scale Indexing SystemsReal-Time ArchitectureTechnical LeadershipAI in Technical AnalysisSystems Thinking
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Indexing SystemsSearch SystemsRecommendation SystemsDistributed InfrastructureArchitectural ConvergenceLegacy-System MigrationsAI PrototypingDesign ExplorationQuality EvaluationDebugging Workflows
Soft Skills
Strong CommunicationProblem-SolvingInfluencing DirectionMentoring
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceMaster’s Degree in Engineering
Industry Keywords
Indexing ArchitectureRetrieval SystemsCost EfficiencyData IntegrityPrivacy and Safety
About the role
Key responsibilities & impact- Define and drive the long-term technical vision for indexing and retrieval infrastructure across Core, Ads, and Shopping
- Align architecture investments to improvements in freshness, quality, coverage, reliability, and cost efficiency
- Lead cross-organizational modernization of Pinterest’s indexing architecture
- Advance unified real-time and incremental retrieval systems for high-scale candidate generation
- Partner with engineering, product, ML, and infrastructure leaders to align priorities and resolve tradeoffs
- Guide system design, architecture reviews, and complex platform changes spanning ingestion, indexing, retrieval, and quality evaluation
- Build shared metrics, tuning surfaces, and debugging workflows
- Mentor senior engineers and technical leaders
- Use AI to accelerate analysis, prototyping, system design iteration, technical investigations, design artifacts, and platform insight synthesis
Requirements
What you’ll need- Deep expertise building and evolving large-scale indexing, search, recommendation, or ads retrieval systems
- Experience with real-time and incremental architectures, relevance tradeoffs, and cost-efficient distributed infrastructure
- Strong technical leadership across multiple teams or organizations
- Track record of influencing direction, aligning stakeholders, and driving complex platform decisions to completion
- Experience leading large modernization efforts, architectural convergence, legacy-system migrations, shared-platform rollouts, or new infrastructure capabilities at scale
- Exceptional systems thinking and problem-solving skills
- Strong communication skills for senior technical and non-technical audiences
- Experience using AI in technical analysis, prototyping, design exploration, documentation, or information synthesis
- Experience validating AI-assisted work through testing, source-checking, peer review, and engineering judgment
- High integrity, ownership, and care with sensitive data and production-critical systems
- Thoughtful use of AI with attention to privacy, safety, and correctness
- Bachelor’s or Master’s degree in Computer Science, Engineering, a related technical field, or equivalent experience
Benefits
Comp & perks- Equity eligibility
- Flexible working model
- In-person collaboration 1–2 times per quarter
- Relocation assistance is not provided
