Staff Software Engineer
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Staff Software Engineer, TwoTwenty
full-timePython
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Originally posted at greenhouse
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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.
We're looking for a Staff Software Engineer to lead the technical direction of the backend systems powering Pinterest's AI-driven product experiences — Pinterest Assistant, visual editing and content creation tools and future LLM-based products. You'll design and ship backend systems while architecting the broader platform strategy that enables these experiences to scale across surfaces and teams. This is a hands-on leadership role where you'll move between deep technical execution, system-level architecture and cross-team technical leadership.
What You'll Do
Define the backend and platform architecture for AI-driven product experiences — visual-chat, AI image generation and editing, and agentic or LLM-based products — partnering with Engineering, Product, ML and UX leaders to shape the technical vision and roadmap.
Architect end-to-end systems spanning API layers, orchestration, logging, evaluation, storage and safety controls, ensuring solutions scale across multiple products and teams.
Lead resolution of complex technical challenges — e.g., scaling LLM inference for real-time features, balancing latency vs. quality in AI-generated content, and standardizing backend capabilities for reuse.
Design and implement production backend systems including API endpoints, orchestration layers, data models, caching strategies and integrations with Pinterest's LLM infrastructure.
Use AI to accelerate prototyping, evaluation design and code generation, while applying judgment and verification to ensure correctness and quality.
Create and evolve shared tooling and evaluation frameworks for LLM-based experiences, including offline eval pipelines, A/B testing hooks, quality metrics and observability.
Guide the design of projects with significant complexity and ambiguity spanning multiple teams — setting technical direction, reviewing critical design docs and driving alignment across cross-functional partners.
Raise the bar on operational excellence by improving monitoring, alerting, incident response, capacity planning and service health — and mentor engineers to develop stronger ownership habits and grow into technical leaders.
What We’re Looking For
Bachelor's degree in Computer Science, Engineering or a related field, or equivalent experience.
Minimum of 6 years of backend software engineering experience with a track record of leading and shipping projects with substantial impact on team-level or org-level goals.
Experience operating as a technical leader for large, ambiguous, cross-functional initiatives spanning one or more teams.
Strong Python development skills — you write idiomatic, well-structured, maintainable Python and can confidently navigate and improve large codebases.
Experience building on top of distributed systems — you've designed, built and operated services at scale, with strong judgment around caching, async processing, data storage tradeoffs, choosing existing database, indexing, and queueing solutions.
Experience building LLM-powered or ML-backed products in production — you understand model integration, prompt and orchestration strategies, evaluation, latency/cost tradeoffs and operational challenges of AI-backed services.
Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow, with a clear approach to validating accuracy and quality of AI-assisted work.
High integrity and ownership: you protect sensitive data, avoid over-reliance on AI and remain accountable for final decisions and deliverables.
In-Office Requirement Statement
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.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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
$177,185—$364,795 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,
Tech stack
Python
Overview
Job type full-time
🇺🇸Location Remote
San Francisco, CA, US; Remote, US
Posted 2h
Apply on company site
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Responsibilities
- Define the backend and platform architecture for AI-driven product experiences.
- Architect end-to-end systems spanning API layers, orchestration, logging, evaluation, storage and safety controls.
- Lead resolution of complex technical challenges.
- Design and implement production backend systems including API endpoints and data models.
- Create and evolve shared tooling and evaluation frameworks for LLM-based experiences.
- Guide the design of projects with significant complexity and ambiguity.
- Raise the bar on operational excellence by improving monitoring and incident response.
Qualifications
- Bachelor's degree in Computer Science, Engineering or a related field, or equivalent experience.
- Minimum of 6 years of backend software engineering experience.
- Experience operating as a technical leader for large, ambiguous, cross-functional initiatives.
- Strong Python development skills.
- Experience building on top of distributed systems.
- Experience building LLM-powered or ML-backed products in production.
- Demonstrated ability to use AI to improve speed and quality in workflows.
Benefits
- Equity
Skills mentioned
About Pinterest
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H-1B sponsorship history
Historical employer filing data was found for Pinterest. The employer record includes 1,613 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.