Responsibilities:

• Lead Strategic ML/AI Platform Programs: Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform.
• Operate with an AI-First Execution Mindset: Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows, and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
• Prototype AI-Augmented Tools & Workflows: Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction, including dashboards, data analysis, process helpers, and internal tooling.
• Apply Safety-by-Design AI Governance: Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
• Drive Complex Technical Decisions Across Teams: Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions.
• Translate Strategy into Execution: Convert strategic platform priorities into structured, milestone-driven execution plans, operating at both breadth (big picture vision) and depth (driving granular details with engineering teams).
• Shape Planning & Influence Roadmaps: Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles, influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
• Build Scalable Processes & Best Practices: Define, institutionalize, and continuously improve program management processes, frameworks, and tooling, elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale.
• Drive Cross-Functional Alignment & Communication: Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal, ensuring stakeholders at all levels have timely, accurate visibility into priorities, status, risks, and decisions.
• Own Program Outcomes End-to-End: Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through.

Requirements:

• Experienced Technical Program Manager: 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent.
• AI-First Execution Mindset: Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication.
• Workflow Design & AI Fluency: Experience turning repeatable program work into durable, low-toil mechanisms, including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
• Safety-by-Design AI Governance: Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability.
• ML/AI & Systems Domain Knowledge: Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles.
• Strategic Vision & Entrepreneurial Leadership: Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs.
• Executive Influence & Thought Leadership: Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions.
• Analytical Problem-Solving & Risk Mitigation: Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.
• Operational Excellence at Scale: Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility.
• Exceptional Communication & Collaboration: Outstanding written, verbal, and interpersonal communication skills, able to distill nuanced, technical concepts for diverse audiences.

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Location: Remote - USA

Description:

Airbnb is seeking a highly experienced Staff Software Engineer to join its Authorization Infrastructure team. The successful candidate will be responsible for designing, developing, and evolving Airbnb's authorization platform, shaping the roadmap, architecture, and delivery while ensuring high reliability, performance, and operational excellence at scale.

The Authorization Infrastructure team builds and operates Himeji, the authorization system powering over 8 million authorization checks per second that underpins every access to data and resources at Airbnb. Our mission is to make authorization reliable, secure, and correct by default, removing the burden from every team to solve access from first principles.

As a Staff Software Engineer on Authorization Infrastructure, you will own the long-term technical strategy and architectural direction of the authorization platform, defining how it evolves to support AI-era patterns including natural language policies, contextual access decisions, and multi-principal agentic workflows.

Success in this role means advancing Himeji's core architecture northstar, securing cross-team alignment on AI agent authorization, and establishing Airbnb-wide engineering standards for what 'paved path authorization' looks like at every product surface.

Responsibilities:

• Lead the design, development, and evolution of Airbnb's authorization platform, shaping roadmap, architecture, and delivery while ensuring high reliability, performance, and operational excellence at scale.

• Help drive the next generation of authorization for AI and agentic workflows, defining clear access models for agents and building systems that enforce correctness, least-privilege access, and end-to-end auditability.

• Partner with InfoSec, AI/ML Infra, Product, Privacy, and Data teams to align on authorization standards and drive adoption across the platform.

• Lead design and execution of high-impact, high-risk authorization initiatives across multiple teams and systems.

• Set and uphold engineering standards through design reviews, technical leadership, and mentorship of senior engineers.

Requirements:

• 10+ years of software engineering experience, with significant time designing and operating large-scale, high-reliability distributed systems.

• Deep expertise in authorization, access control, or identity systems, including policy models, permission frameworks, or trust infrastructure at production scale.

• Demonstrated track record of owning complex, cross-organizational technical strategy: authoring foundational RFCs, building alignment across teams with competing priorities, and making high-stakes architectural commitments.

• Experience influencing engineering standards beyond your immediate team, at the engineering council, org-wide, or across platform and product organizations.

• Strong communication and technical leadership skills, with the ability to engage effectively across engineering, security, product leadership, and external partners.

• Familiarity with AI agent architectures and the security and authorization challenges they introduce is a strong plus.

Benefits:

• Competitive salary range: $212,000-$265,000 USD

• Bonus, equity, benefits, and Employee Travel Credits

• Opportunity to work with a highly experienced team and contribute to the growth and success of Airbnb

• Flexible remote work arrangement

• Access to professional development opportunities and training programs

• Collaborative and dynamic work environment

• Opportunities for growth and advancement within the company

Note: The salary range is based on the provided information and may vary based on individual circumstances.

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