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Sierra

Builds AI agents for customer conversations

Agent Strategist - Agent Development, Retail

Implementation & Technical Account ManagementUpdated on Nov 14
Full-time

About the Job

Requirements

  • The candidate should bring genuine energy for customer-facing work, understand customer businesses and needs, thrive in complex organizations, and build trusted relationships.
  • The candidate should communicate clearly, directly, and persuasively with technical and non-technical audiences.
  • The candidate should demonstrate strategic problem-solving in ambiguous situations, including analytical and critical-thinking skills to break down complex problems, identify risks early, and adapt as circumstances change.
  • The candidate should be comfortable engaging with technical concepts, including reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in design discussions.
  • The candidate should have a track record of running multiple complex, high-visibility projects simultaneously and driving them to outcomes.

Responsibilities

  • Own the Agent Development Life Cycle, taking agents from initial scope through conversation design, tooling, and evaluation to launch and continuous iteration in production.
  • Translate business goals into agents that outperform and continually tune them based on real-world performance.
  • Act as a strategic advisor to enterprise leaders, understand their business objectives, and shape AI strategy to achieve them.
  • Partner day to day with customers’ working teams by running working sessions, troubleshooting agent issues, and making decisions that keep builds on track for launch.
  • Surface unmet needs from customer work and communicate them to research and platform teams to inform product direction.

Desired Qualifications

  • Experience in e-commerce, retail technology, marketplaces, or consumer brands, and familiarity with commerce and customer-experience stacks such as commerce platforms, order management systems, and contact center software.
  • Experience building or deploying AI/LLM agents in production, including hands-on experience with evaluation frameworks, agent tooling, retrieval-augmented generation, or prompt engineering, in collaboration with technical counterparts.
  • Experience as a founder, founding team member, or operator.
  • A degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience; an MBA or comparable experience at the intersection of technology and business is also desirable.

About the Company

Sierra

Builds AI agents for customer conversations

Sierra builds AI agents that handle customer conversations for businesses, from answering support questions to guiding purchases and managing account requests. Companies deploy the same agent across voice, chat, email, and messaging channels, with behavior shaped by their brand guidelines and business policies. Its Ghostwriter tool creates and updates agents from plain instructions or existing company materials, then tests changes before teams approve them. The platform connects agents to business systems so they take action, and Sierra charges for completed outcomes rather than the AI tokens consumed. Sierra was founded in 2023 and is headquartered in San Francisco, California, United States.

Company size
1,001-5,000
Company stage
Series E
Total funding
$1.6B
Headquarters
San Francisco, CA
Founded
2023

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