Top Tech Jobs & Startup Jobs

Leads the discovery, design, prototyping, deployment, adoption, and continuous improvement of AI solutions across Expedia Group. Partners with business and executive leaders to translate ambiguous challenges into measurable outcomes, establishes scalable AI and software engineering standards, evaluates models and architectures, develops reusable frameworks, and coaches senior engineers and emerging technical leaders. Ensures solutions address reliability, security, privacy, cost, observability, evaluation, responsible AI, and sustained business value.

Leads the Agent Tools product and technology organization across Expedia Group channels. Owns the multi-year roadmap, Salesforce Service Cloud migration, AI-assisted service capabilities, investment prioritization, operational metrics, and delivery risk. Builds and develops distributed product and engineering teams while aligning senior stakeholders across Product, Technology, and Operations to improve service quality, efficiency, self-service, and customer outcomes.

Design, build, and operate low-latency, high-throughput ad delivery systems for bidding, ranking, auctions, and budget enforcement. Integrate ML signals, collaborate with product and data teams, improve observability and reliability, lead design discussions, and mentor junior engineers.

Build and operate high-throughput backend services, APIs, pricing engines, and data models for Expedia’s insurance and fintech products. Lead cross-team initiatives across pricing, checkout, booking, and servicing systems; launch zero-to-one products; improve scalability, reliability, and performance; troubleshoot distributed systems; use AI-assisted development tools; and participate in quarterly on-call support.

Lead enterprise AI engagements from opportunity discovery through production deployment, adoption, measurement, and continuous improvement. Design scalable AI systems, evaluate models and agentic architectures, establish engineering and responsible AI standards, and create reusable frameworks. Partner with executives and business teams, translate ambiguous problems into measurable outcomes, influence technical direction, and coach senior engineers and emerging technical leaders.

Design, build, and maintain scalable backend payment services supporting global travel platforms. Develop clean, secure, and maintainable code using Java or Kotlin, integrate relational and NoSQL databases, and improve reliability through observability and automation. Collaborate cross-functionally on high-impact features, apply architectural patterns or GenAI capabilities, and support distributed systems through monitoring, debugging, incident resolution, and root-cause analysis.

Design, build, and operate low-latency, high-throughput ad delivery systems for bidding, ranking, auctions, and pacing. Integrate ML signals, collaborate with Product and Data teams, ensure reliability and observability, run operational reviews, and mentor engineers while driving scalable backend APIs and data processing pipelines.

Leads the vision, strategy, and roadmap for AI-powered Brand Expedia experiences across trip inspiration, planning, booking, and travel. Owns experimentation, business outcomes, responsible AI standards, model evaluation, platform partnerships, and third-party AI integrations. Collaborates with engineering, science, design, marketing, and brand teams while coaching product managers and shaping scalable consumer experiences across Expedia’s portfolio.

Manages strategic relationships with outsourced contact center vendors, including contract governance, negotiations, performance compliance, risk mitigation, business reviews, and vendor footprint optimization. Partners with Legal and Procurement, resolves disputes, drives continuous improvement, and develops governance policies and communication strategies to support business continuity, customer experience, and outsourcing efficiency.

Build and ship AI-powered tools, applications, analyses, and data pipelines for service operations. Prototype with large language models, define success metrics and safeguards, translate operational problems into technical requirements, and represent operations in cross-functional AI programs. Lead workstreams, guide partner-based AI builders, assess risks and recommendations, and support adoption of tools across operations teams.