Manager II, Machine Learning - Conversion Visibility

Pinterest; United States; Hybrid; USD 189,308 - 389,753; Full time

Job summary

Pinterest is seeking a leader to attract and develop a hybrid team of ML and backend engineers. This role emphasizes strategic execution of identity and conversion modeling systems and requires over 7 years of experience in building large-scale ML systems.

You will establish engineering best practices and foster collaboration with cross-functional teams. The salary range for this position is $189,308 to $389,753 USD, making it a competitive opportunity for qualified candidates.

Qualifications

• 7+ years of experience building large-scale ML systems in production.
• 2+ years as an engineering manager or technical lead.
• Proven leadership and alignment on multi-quarter roadmaps.

Responsibilities

• Attract, hire, and lead a hybrid team of ML and backend engineers.
• Drive execution for identity and conversion modeling systems.
• Establish best practices for ML and backend development.

Skills

ML systems deployment

Technical leadership

Cross-functional collaboration

Communication skills

Education

Bachelor's Degree in Computer Science or related field

Job description

About Pinterest

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn’t just a feature, it’s a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

What you’ll do

• Attract, hire, develop, and lead a hybrid team of ML engineers and backend software engineers, fostering strong collaboration across modeling and infrastructure and building an inclusive, high‑performing environment where the team can deliver end‑to‑end solutions.
• Lead a team responsible for the strategy, execution, and operational excellence of identity and conversion signal modeling systems (e.g., user match prediction, conversion type/value prediction, probabilistic attribution and deduplication) that improve match precision/recall and downstream conversion quality across web and app surfaces.
• Partner closely with product managers, data scientists, and tech leads to shape problem definitions, translate business needs into technical strategy, and drive execution toward high‑impact outcomes.
• Collaborate closely with Ads Ranking & Bidding, Measurement Products, and Conversion Ingestion & Attribution teams to define interfaces, SLAs, and success metrics that enable end‑to‑end identity and conversion visibility systems—including models, data pipelines, and serving surfaces—to integrate cleanly into the broader ads ecosystem.
• Establish engineering best practices across both ML and backend development, including data quality, feature and data pipelines, model evaluation, experimentation, service reliability, and operational excellence, so the team can build trustworthy ML‑powered systems end to end.
• Use AI to accelerate analysis and iteration on model ideas and architectures, while applying strong judgment, testing, and verification to ensure correctness, reliability, and advertiser trust.

What we’re looking for

• 7+ years of experience building and deploying large‑scale ML systems in production (e.g., ads, measurement, recommendation, ranking, or search).
• 2+ years of experience as an engineering manager or technical lead.
• Bachelors Degree in Computer Science, Statistics, or a related technical field, or equivalent experience.
• Nice to have: Meaningful hands‑on experience or strong familiarity with ads conversion attribution, identity matching, ads ranking or ads measurement domains.
• Proven technical leadership across both ML and software systems, with experience setting direction for multi‑quarter roadmaps that span modeling, data pipelines, backend services, and productionization, and aligning stakeholders on priorities, trade‑offs, and execution plans.
• Excellent cross‑functional communication and collaboration skills, building strong partnerships with product, data science, infra, and partner ML teams to clarify ambiguous problem spaces, co‑create solutions, and drive consensus with senior stakeholders.

Relocation Statement

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In‑Office Requirement Statement

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day‑to‑day can vary based on the needs of each organization or role.
• This role will need to be in the office for in‑person collaboration 1 day per week and therefore needs to be in a commutable distance from one of the following offices [Seattle or Bay Area].

$189,308—$389,753 USD

US based applicants only.

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.