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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering teams to develop scalable ML and data platforms for ads measurement, with a strong focus on experimentation, causal inference, and ad effectiveness. Proven ability to set technical vision and multi-year strategies while fostering collaboration across cross-functional teams.
Highest-signal resume keywords
Machine LearningAds MeasurementCausal InferenceTeam LeadershipAI Coding Assistants
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software DevelopmentData SystemsProbabilistic ModelingExperimentationProduction Systems
Soft Skills
CommunicationStakeholder ManagementMentoring
Tools & Technologies
LLM-Powered ToolsData Protection Standards
Certifications & Qualifications
Bachelor’s Degree in Computer Science
Industry Keywords
Ad EffectivenessIncrementalityMarketing Mix ModelingMulti-Touch AttributionConversion APIs
About the role
Key responsibilities & impact- Lead and grow a team of ML, backend, and data engineers building ads measurement products and platforms
- Set the technical vision and multi-year engineering strategy for Measurement Products
- Partner with Product, Data Science, Ads Engineering, and Infrastructure teams on causal inference, experimentation, and ad-effectiveness solutions
- Drive scalable ML and data platforms for conversion lift, brand lift, budget-split testing, matched-market testing, marketing mix modeling, multi-touch attribution, conversion APIs, and clean-room measurement
- Influence the Ads Product and Engineering roadmap
- Expand adoption and business impact of Pinterest’s measurement products
- Hire, mentor, and develop engineering managers, technical leaders, and engineers
- Champion AI-assisted development and LLM-powered tools with rigorous validation, explainability, data protection, and accountability standards
Requirements
What you’ll need- 10+ years of industry experience building software, ML, or large-scale data systems
- 5+ years of experience managing engineering teams responsible for production systems
- Bachelor’s degree in computer science, a related field or equivalent experience
- Meaningful experience with ads measurement, ad effectiveness, or incrementality
- Strong understanding of experimentation, causal inference, probabilistic modeling, or measurement using noisy, incomplete, or privacy-constrained data
- Ability to set technical vision, develop multi-year roadmaps, and drive scalable production-quality systems
- Experience partnering across Engineering, Product Management, Data Science, Infrastructure, and business teams
- Experience establishing engineering practices for architecture, operational excellence, experimentation, evaluation, monitoring, and governance
- Track record of hiring, mentoring, and developing engineering managers, senior technical leaders, and high-performing engineers
- Strong communication and stakeholder-management skills
- Experience using AI coding assistants and LLM-powered productivity tools
- Ability to work within commuting distance of San Francisco, Palo Alto, or Seattle offices
Benefits
Comp & perks- Equity eligibility
- Flexible working model
- In-person collaboration and connection opportunities
- Equal opportunity and inclusive workplace
- Medical or religious accommodation support during the application process