Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads product strategy for developer productivity platforms and end-to-end engineering workflows. Defines the product vision, roadmap, metrics, instrumentation, and success criteria; improves developer experiences across infrastructure, reliability, security, and developer tooling. Creates PRDs and BRDs, aligns cross-functional teams, influences roadmaps without direct authority, and delivers scalable platform solutions for technical users.

Leads advanced analytics for Airbnb’s Community Blueprint Quality team. Responsibilities include diagnosing customer experience issues, designing experiments, applying causal inference, developing metrics, using LLMs to analyze unstructured data, building dashboards and analytical artifacts, and translating complex findings into recommendations for senior leadership. The role partners cross-functionally with Product, Engineering, Data Science, Data Engineering, Operations, and Finance.

Own Airbnb’s Workday integration architecture, technical strategy, and production reliability across global HR, payroll, benefits, and employee systems. Build complex Workday integrations, payroll interfaces, Extend applications, and AI-enabled MCP tooling. Establish security, observability, governance, deployment, and compliance standards while managing release cycles and technical debt. Serve as the technical authority, mentor engineers, lead architectural decisions, and partner with HR, security, privacy, finance, enterprise architecture, and vendors.

Own the end-to-end demand strategy for Airbnb Experiences across guest lifecycle, CRM, email, push, editorial content, and referrals. Define roadmaps, audience segmentation, testing frameworks, automation, success metrics, and content-to-conversion measurement. Partner with Growth Marketing, Product, Engineering, Brand, Creative, and external vendors to execute strategy and influence roadmap priorities. The role requires senior-level ownership of business outcomes, analytical decision-making, and cross-functional leadership in a matrixed environment.

Lead Airbnb’s guest payments platform, including pay-ins, refunds, payment methods, processing resilience, installments, and financing solutions. Own platform strategy, roadmap, product delivery, metrics, and operational excellence while partnering with engineering, design, risk, compliance, legal, tax, and marketing teams. Manage and develop senior platform managers, influence senior stakeholders, and expand global payment capabilities across countries, currencies, and processing partners.

Responsible for fine-tuning state-of-the-art LLMs, optimizing models for deployment, and driving AI architectural decisions. Collaborate with cross-functional teams to develop impactful AI products.

Develop AI-powered solutions for personalized content and marketing. Collaborate with teams to optimize ML models and pipelines at scale, mentoring engineers and driving strategic growth initiatives.

Lead product strategy and roadmap for Payment Accounts platform, building scalable account, wallet, and identity capabilities. Own cross-functional execution with engineering, data, trust, compliance, and external partners to reduce friction, manage receivables and losses, and support global payments use cases.

Lead technical strategy and hands-on engineering for Airbnb's AI-powered ads growth engine. Architect scalable systems for creative generation, bidding, budget optimization, and audience management across paid channels. Write and review code, set standards for availability and quality, collaborate with Marketing/Product/ML teams, roll out staged automation, and mentor engineers to advance platform autonomy while ensuring brand safety and human-in-the-loop controls.

Lead and mentor TPMs to deliver AI platform initiatives across search relevance, recommendation systems, and ML infrastructure. Align stakeholders, define measurable success criteria, manage risks and dependencies, drive execution, and present outcomes to senior leadership. Partner with ML, infrastructure, and product teams to shape technical direction and accelerate data-driven AI initiatives.