Drimva

Sierra

Strategist Lead, Agent Development

$200K–$350K

San Francisco, CA +1 · On-site · Full-time · Posted Oct 27, 2026

Location
San Francisco, CA
New York, NY
Education
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

Leads hands-on development and delivery of customer-facing AI agents, manages strategist teams, advises enterprise customers on AI strategy, and helps shape Sierra’s product.

What you'll do

  • Lead agent development from initial scope through conversation design, tooling, evaluation, launch, and ongoing production iteration; coach strategists and ensure delivery quality and customer impact.
  • Sponsor key customer deployments, manage and grow the strategist team, and advise enterprise leaders on AI strategy and business outcomes.
  • Use customer needs to inform Sierra’s product direction, collaborating with research, product, and platform teams.

What they ask for

  • Strong customer-facing relationship-building, communication, analytical problem-solving, and technical aptitude.
  • Track record of running and leading teams running multiple complex, high-visibility projects and delivering outcomes.
  • Hands-on leadership style with high standards and empathy.
  • 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.

Nice to have

  • Experience building or deploying AI/LLM agents in production, including familiarity with eval frameworks, agent tooling, RAG, or prompt engineering.
  • Background as a founder, product or strategy leader, startup operator, or experience managing teams in customer-facing roles.

Pay

USD $200K – $350K base salary

Tools

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

AI focus

Build, deploy, evaluate, and iterate customer-facing AI agents in production; advise customers on AI strategy.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)