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Pinterest

Engineering Manager II, Runtime Services

Pinterest is hiring an Engineering Manager II, Runtime Services in San Francisco, United States. Level rates it ; you can apply on Pinterest.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting allows some remote work.
  • Tools and skills the posting cites include engineering management, distributed systems and anomaly detection.
  • Level lists 167 other open roles at Pinterest.
  • The role was posted within the past two weeks.

AI in this role

Lead an engineering team building large-scale job scheduling and ML monitoring platforms.

engineering-managementdistributed-systemsanomaly-detectionmachine-learning-monitoringjob-scheduling

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.

Engineering Manager II, Runtime Services

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. As a Pinterest employee, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward.

What you’ll do:

  • Establish the strategy, charter and operating model for a new team responsible for two major platforms.
    • Pinterest’s large-scale asynchronous job scheduling and execution platform, and
    • its anomaly detection, root-cause analysis, and ML monitoring platform.
  • Lead the technical roadmap & evolution of these platforms, advancing automation, self-service onboarding, resource efficiency and reliability.
  • Build strong partnerships with teams across Pinterest to understand customer needs, drive adoption and deliver measurable improvements in developer productivity and data-driven decision-making.
  • Strengthen operational excellence across both platforms by improving observability, incident response, service health, documentation and engineering practices.
  • Hire, coach and grow a high-performing team while establishing an inclusive culture of ownership, learning and continuous improvement.
  • Use AI to accelerate planning, technical exploration, documentation and operational analysis, applying sound judgment and verification to ensure the quality and correctness of final outcomes. E.g. AI can be used for user onboarding, routine agentic evaluation of ongoing tasks.

What we’re looking for:

  • Minimum 9 years of software engineering experience, including deep expertise in distributed platforms and solid familiarity with backend systems & interest in algorithms in anomaly detection domain.
  • Minimum 2 years of engineering management experience leading strong platform & backend highly available engineering teams.
  • Strong technical foundation in platform reliability, observability, Kubernetes or cloud infrastructure, data systems and developer experience.
  • Deep understanding of distributed systems, asynchronous execution, workflow orchestration and passion for machine learning algorithms.
  • Experience setting technical strategy and delivering meaningful improvements to platform scalability, operational efficiency, customer adoption or engineering velocity.
  • 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 to accelerate engineering planning, analysis and execution, with a clear approach to validating accuracy, quality and security.
  • Bachelor’s/Master’s degree in Computer Science, a related technical field, or equivalent practical experience.

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 1-2 times/quarter, and therefore can be situated anywhere in the country.

#LI-HYBRID

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$208,592—$429,454 USD

Our Commitment to Inclusion:

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. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.

How we rate this

Engineering Manager II, Runtime Services at Pinterest rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Engineering ManagementDistributed SystemsAnomaly DetectionMachine Learning MonitoringJob Scheduling

Questions you could be asked

  1. Tell me about a project where engineering management was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where anomaly detection was part of your work. What did you do?
  4. Tell me about a project where machine learning monitoring was part of your work. What did you do?
  5. Tell me about a project where job scheduling was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Engineering Management, Distributed Systems, Anomaly Detection, Machine Learning Monitoring, and Job Scheduling. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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