1 day ago
Responsibilities
- Define role- and level-based technical learning pathways for software, machine learning, data engineering, product, program, design, and business roles.
- Build hands-on learning assets including reference implementations, starter repositories, guided labs, agent and workflow templates, and tool-integrated sandboxes.
- Prototype tools that unblock learning and transition them to owning teams.
- Turn business-unit patterns into reusable engineering standards for prompting, evaluation, AI-assisted code review, agentic delegation, and responsible AI guardrails.
- Define success measures and connect skill and behavior changes to usage, delivery, capacity, speed, and quality data.
- Develop senior and principal engineers as AI-practice multipliers through mentoring, champion programs, lab leadership, and train-the-trainer models.
- Partner across Developer Experience, Learning and Development, AI platform, and business-unit technology organizations without formal authority.
- Safely integrate and operate AI/ML-enabled solutions and evaluate which emerging practices should become standards, remain experiments, or be retired.
Requirements
- Bachelor's degree in Computer Science or a related technical field, or equivalent related professional experience.
- 10+ years of relevant professional experience.
- Deep hands-on software engineering experience across the full development life cycle, including coding standards, code review, testing, and observability.
- Experience building reference solutions adopted by other teams.
- Proficiency in system design, API development, data modeling, and large-scale distributed environments.
- Hands-on experience building, deploying, or operating AI-enabled systems, tools, agents, or workflows and applying AI/ML concepts to real-world products or engineering work.
- Experience teaching engineers at scale through curricula, workshops, labs, documentation, or developer education that measurably changed engineering practices.
- Experience setting engineering standards or practices adopted across multiple teams or organizations.
- Preferred experience in developer relations, developer education, developer experience, or AI enablement engineering.
- Working knowledge of learning science for technical audiences, including adult learning, deliberate practice, curriculum architecture, and assessment design.
- Experience designing and productionizing LLM, agentic, or AI-assisted developer workflows with evaluation, human-in-the-loop controls, and responsible AI guardrails.
- Experience measuring AI skill and behavior improvement and connecting it to engineering productivity or business outcomes.
- Evidence of building and teaching through talks, courses, open-source examples, or technical writing.
Benefits
- Medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement.
- Travel discounts and International Airlines Travel Agent Network (IATAN) membership.
Categories
About Expedia
Expedia Group builds a global online travel marketplace where consumers book flights, hotels, vacation rentals, cars, and activities, and partners distribute and market inventory across its platform. It monetizes through commissions, merchant/agency models, and advertising via brands including Expedia, Hotels.com, and Vrbo. Founded in 1996 and headquartered in Seattle, the public company (NASDAQ: EXPE) serves travelers and partners in more than 70 countries with B2C, B2B, and ad tech offerings.