
Opportunity at
PinterestSr. Manager, Machine Learning Engineering, Ads Measurement Products
Pinterest operates a global platform where millions of users discover inspiration, creative ideas, and planning resources. The company is currently hiring a Sr. Manager, Machine Learning…
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About This Role
Pinterest operates a global platform where millions of users discover inspiration, creative ideas, and planning resources. The company is currently hiring a Sr. Manager, Machine Learning Engineering, Ads Measurement Products to lead engineering functions dedicated to advertising assessment and verification. This position sits within the Measurement Products group, which constructs first-party and third-party tracking tools to help advertisers evaluate campaign success, test market strategies, and analyze business outcomes. The incoming…
Job Description
Pinterest operates a global platform where millions of users discover inspiration, creative ideas, and planning resources. The company is currently hiring a Sr. Manager, Machine Learning Engineering, Ads Measurement Products to lead engineering functions dedicated to advertising assessment and verification.
This position sits within the Measurement Products group, which constructs first-party and third-party tracking tools to help advertisers evaluate campaign success, test market strategies, and analyze business outcomes. The incoming manager will guide a multi-disciplinary technical staff of backend, data, and machine learning specialists who build production-grade platforms for conversion lift, brand outcomes, budget-split testing, matched markets, and clean-room analytics.
Ideal candidates possess extensive software development and management experience, paired with a solid background in ad performance evaluation, causal inference, and probabilistic modeling. The job requires working out of the Seattle office on a hybrid schedule, meeting in person one to two times per month. Candidates must live within commutable distance, as relocation assistance is unavailable. Pinterest provides an inclusive, equal opportunity workplace that evaluates personnel on merit.
Responsibilities
- Manage and mentor a technical staff of machine learning, backend, and data engineers focusing on ad measurement technologies.
- Define long-term technical direction and multi-year engineering strategies for measurement platforms.
- Collaborate with product managers, data scientists, and infrastructure groups to operationalize causal inference and experimentation systems.
- Oversee the creation of scalable machine learning and data architectures covering conversion lift, brand lift, marketing mix modeling, and multi-touch attribution.
- Foster an inclusive, high-performing engineering culture centered on accountability and innovation.
- Encourage the responsible application of artificial intelligence and large language model assistants to speed up prototyping while preserving validation standards.
Requirements
- Ten or more years of professional experience building software, machine learning architectures, or massive data pipelines
- Five or more years of experience leading engineering teams responsible for production environments
- Demonstrated expertise with ad measurement, ad effectiveness, or incrementality methodologies
- Familiarity with causal inference, probabilistic modeling, or experimentation using privacy-constrained data
- Track record of aligning multiple business, product, and engineering teams to deliver advertiser impact
- Ability to commute to the Seattle office for in-person collaboration one to two times per month
Qualifications
- Bachelor degree in computer science, a closely related field, or equivalent practical work history
Core Skills
Benefits
- Base salary range between $227,871 and $469,147 USD
- Eligibility for equity awards
Frequently Asked Questions
What is the location and remote work policy for this role?
The position is based in Seattle. Employees operate on a hybrid schedule requiring in-office attendance one to two times per month for collaboration, and applicants must live within a commutable distance from the office.
Does Pinterest provide relocation assistance for this position?
No, this position is not eligible for relocation assistance.
What is the salary range for this role?
The base salary range spans from $227,871 to $469,147 USD, and the position is also eligible for equity.
What kind of background is required for applicants?
Candidates must have at least ten years of industry experience creating software, machine learning, or large-scale data systems, along with five years of experience managing engineering teams that handle production systems.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.