Sr. Engineering Manager, CAMP at Pinterest

**Who this is for** A seasoned engineering manager with a background in big data and media processing who is ready to lead the Content Acquisition & Media Platf

Work type: hybrid

Location: San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US

Salary: $245,402 – $429,454/yr

Type: Full-time

Summary

**Who this is for** A seasoned engineering manager with a background in big data and media processing who is ready to lead the Content Acquisition & Media Platform (CAMP) team. **Key highlights** You will manage a high-performing cross-platform team, bridging the gap between content ingestion, LLM/VLM signal processing, and GenAI compliance initiatives. **You might be a good fit if you...** - Have 9+ years of engineering experience, including 5+ years in a management role overseeing platform teams. - Possess a deep technical understanding of crawling systems, media ingestion, and search/recommendation architectures. - Are skilled at balancing complex product requirements with technical investment and long-term architectural health. - Have a proven ability to lead and coach engineers while driving engineering excellence through operational rigor.

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 is seeking a Sr. Engineering Manager to lead the Content Acquisition & Media Platform (CAMP) team. The CAMP team owns the critical platforms for content acquisition, media ingestion and media signal processing. The team closely collaborates with multiple partner teams bringing the most inspiration content to Pinterest to enhance the content foundation of all products, adopting LLM/VLM in a near real-time system to understand content and build fundamental signals for LLM innovations, and standing in the frontier to meet GenAI compliance requirements.

What you’ll do:

• Lead a cross-platform team responsible for content acquisition, media ingestion and media signal platform.

• Set the team’s technical direction and drive execution on quality, performance, and reliability

• Partner closely with Content, Shopping catalog and GenAI teams to improve Pinterest content ecosystem.

• Guide the team through platform and architectural decisions, balancing product needs, technical investments, and long-term maintainability.

• Build and grow a high-performing team through hiring, coaching, and developing engineers.

• Raise the bar on engineering excellence through strong operational practices, performance measurement, testing, and release quality.

• Help Pinterest to meet GenAI compliance requirements

• Thoughtfully leverage AI tools to speed up design, coding, debugging, and documentation, while applying your own critical thinking to validate outputs and explain how you used AI in your workflow.

• Shape our AI-assisted engineering practices by sharing patterns, guardrails, and learnings with the team so we can safely increase our impact without compromising code quality, reliability, or candidate expectations.

• 9+ years of software engineering experience, including distributed system and big data platform

• 5+ years of engineering management experience leading strong client or platform engineering teams.

• Deep understanding of crawling system, media ingestion, understanding and management, big data process.

• Familiarity with search and recommendation system, GenAI compliance.

• A track record of delivering meaningful improvements to product experience, system performance, or engineering efficiency.

• Ability to lead work across platforms and collaborate effectively with cross-functional partners.

• Clear communication skills, strong technical judgment, and a people-focused leadership approach.

• Experience using AI coding assistants and agentic tools as a force-multiplier, and equally comfortable solving problems from first principles when those tools aren’t available.

• This position is noteligible 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 time a week and therefore needs to be in a commutable distance from one of the following offices Palo Alto, San Francisco, Seattle

#LI-SG1

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
$245,402—$429,454 USD

View this job on nocollar jobs