Jobs / United States / Pinterest INC

Pinterest INC

Engineering Manager II, Runtime Services

San Francisco, CA, US; Remote, US · Remote · US only Posted today

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Skills this job asks for

Machine learningProduct managementKubernetesCommunicationLeadership

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Where you can work from

United States only

Based on the listing's location: San Francisco, CA, US; Remote, US.

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 218 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Pinterest INC paid sponsored hires in similar roles9 certified filings for “Manager II, Engineering” (Computer and Information Systems Managers) in CA: $249k–$249k, median $249k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 218 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Pinterest INC paid sponsored hires in similar roles
9 certified filings for “Manager II, Engineering” (Computer and Information Systems Managers) in CA: $249k–$249k, median $249k. Most were filed at wage level II (78%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

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 u

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