Drimva

Sierra

Strategist, Agent Development - Travel, Transportation and Hospitality

$200K–$290K

San Francisco, CA +1 · On-site · Full-time · Posted Oct 1, 2026

Location
San Francisco, CA
New York, NY
Experience
No specific years stated; track record of managing multiple complex, high-visibility projects and delivering outcomes.
Education
Not required; preferred: a degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience; and/or an MBA or comparable experience at the intersection of technology and business.

About the job

Owns the end-to-end development and production launch of customer-facing AI agents for travel, transportation, and hospitality customers, while advising enterprise leaders and feeding customer needs into product development.

What you'll do

  • Lead agent development from scoping and conversation design through tooling, evaluation, launch, and ongoing production iteration.
  • Advise customer executives on AI strategy and work with customer teams to troubleshoot agents and keep deployments on track.
  • Identify unmet customer needs and share them with research and platform teams to inform product direction.

What they ask for

  • Strong customer relationship-building and ability to work effectively in complex organizations.
  • Clear, persuasive communication with technical and non-technical audiences.
  • Analytical and critical-thinking skills for solving ambiguous problems and identifying risks.
  • Technical aptitude to read API documentation, understand data models and system architecture, and discuss engineering tradeoffs.

Nice to have

  • Production experience building or deploying AI/LLM agents, including familiarity with eval frameworks, agent tooling, RAG, or prompt engineering.
  • Founder, founding-team, or operator experience.

Pay

$200K – $290K USD base salary

Tools

AI/LLM agents, eval frameworks, agent tooling, RAG, prompt engineering

AI focus

Develop, evaluate, launch, and continuously improve customer-facing AI agents that address customer business needs and deliver measurable outcomes.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 6, 2026 (UTC)