Manager II, Machine Learning-Content Success at Pinterest

**Who this is for** This role is for an experienced engineering manager with a strong background in machine learning who is passionate about content quality and

Work type: remote

Location: San Francisco, CA, US; Remote, US

Salary: $189,308 – $389,753/yr

Type: Full-time

Summary

**Who this is for** This role is for an experienced engineering manager with a strong background in machine learning who is passionate about content quality and distribution in recommendation systems. **Key highlights** You will lead the Content Success team, building the signals and integrations that ensure fresh, high-quality content is distributed effectively across discovery and advertising surfaces. **You might be a good fit if you...** - Have 7+ years of industry experience, including at least 2 years in a management capacity. - Have proven expertise in deploying large-scale ML systems for recommendation or search. - Are skilled in applying NLP and LLMs to solve problems related to content understanding and engagement prediction. - Can successfully navigate cross-functional partnerships to achieve collective business goals.

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](https://www.pinterestcareers.com/our-life/pinflex/) 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](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/).

Pinterest helps Pinners discover and do what they love. The Content Success team is responsible for ensuring that Pinners see fresh new products, ideas and inspiration in their recommendations and that Content Producers receive value from the platform through exposure, engagement and monetization. We work across different recommendation surfaces (Homefeed, Search, Related Pins, Ads) to develop new integrations and signals. We are looking for an experienced Engineering Manager who can drive the team’s technical direction, lead the team in developing new integrations and signals for recommendation systems and make an impact on Pinterest’s topline metrics.

What you'll do:

• Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.

• Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.

• Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.

• Help the team solve difficult technical challenges such as:

• How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?

• How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?

• How to identify and remove biases from existing recommendation systems?

• How to experiment with and measure the impact of content acquisition changes on the user experience?

• How to enhance the titles of new content to increase their engagement?

• 7+ years of industry experience, including 2+ years of management experience.

• Experience with:

• developing and deploying large-scale machine learning systems in search and recommendations.

• big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).

• applying NLP models and LLMs to content understanding and recommendation systems.

• Experience building and leading high performing teams within a visible business vertical .

• Experience working with numerous cross functional partners to drive a collective initiative.

• Bachelors degree in a technical field, or equivalent work experience.

• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.

• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

• This position is not eligible for relocation assistance. Visit our [PinFlex](https://www.pinterestcareers.com/pinflex/) page to learn more about our working model.

• We let the type of work you do guide the collaboration style. That means we're 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.

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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.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$189,308—$389,753 USD

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