Staff Product Manager, Ads Delivery & ML

Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

The Ads Quality team helps Pinners move from inspiration to action by showing the right ad at the right time. We are at the core of the entire ads system optimizing for Pinner Advertiser and Pinterest value. Modules present a foundational shift in how we curate and personalize the ads experience for our users providing them with meaningful content variety to help them opt into an experience that they will love. The output of this work will both be highly impactful (driving measurable value for Pinners and Advertisers) and highly visible (your launches will change the way the app looks and feels) and will critically contribute to our mission of helping hundreds of millions of people find the inspiration to create a life they love.

The ideal candidate has a passion for delighting our Pinners and strong intuition about what matters most to their addition they must possess a deep understanding of the back-end systems have worked cross functionally with engineering data teams and PMM and understand the interaction effects of introducing qualitatively different content onto the page and tradeoff dynamics of the ads marketplace.

What youll do:

Own well-defined components within back-end ads delivery systems (e.g. parts of retrieval ranking pacing/budgeting auction/bidding quality/diversity guardrails conversion visibility forecasting modeling or measurement) that help match the right ad to the right Pinner at the right time. Contribute to the vision for new and existing capabilities and translate problem statements into clear business and technical requirements via focused business requirements documents (BRD) and product requirement documents (PRD) (epics user stories acceptance criteria) for your area. Create and maintain a clear prioritized roadmap and requirements backlog and track requirement status from discovery through GA and ensure traceability from business goals to shipped features. Plan and deliver a sequenced roadmap for your components aligning with partner teams on architecture guardrails and experimentation so launches drive measurable advertiser and Pinner outcomes.

Partner day-to-day with engineering ML data science/analytics design and research to deliver high-quality features; collaborate with PMM sales and policy/integrity as needed for launches. Work closely with PM peers across Ads Quality (e.g. retrieval ranking pacing/budgeting measurement/incrementality integrity) and with PMs on front-end presentation/components (e.g. modules formats surfaces) to manage dependencies define APIs/contracts for your area align on experiment design and guardrails and coordinate GTM and feedback loops. Facilitate roadmap and requirements reviews keep shared artifacts (roadmap PRDs dependency trackers) up to date and proactively surface risks decisions and changes.

Build new and iterate on features within our ads bidding and optimization solutions that help advertisers clearly express objectives and align budgets to their business needs while maintaining a safe delightful Pinner experience. Deliver scoped improvements from discovery through launch and adoption instrumenting metrics writing documentation and incorporating learnings into subsequent iterations. Define success metrics and acceptance criteria up front track requirement completion and quality signals post-launch and use insights to update the roadmap and next set of requirements.

What were looking for:

8 years of experience working as a TPM Product Manager Product Marketing Manager Operations account management Engineering Manager Data Scientist or related role.
Strong evidence of the ability to review and define new products and strategies with back-end products in an ambiguous space and to execute from ideation roadmaps to go-to-market.
Experience working with Engineering data or PMM cross functional teams and a strong ability to empathize with anticipate the needs of and effectively collaborate with a diverse set of stakeholders.
Deep understanding of business metrics and tradeoffs in the contexts of online marketplaces.
Bachelors degree in a relevant field such as Computer Science/Statistics/Math/Engineering or equivalent experience.
Preferred but not required: Experience with Ads Marketplace and/or Ads Formats.
Preferred but not required: Direct experience with and fundamental understanding of ads delivery systems.
Preferred but not required: Design run or analyze marketplace experiments.

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 let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

#LI-REMOTE
#LI-REX

Required Experience:

Staff IC