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Sierra

Builds AI agents for customer conversations

Agent Strategist - Agent Development

Implementation & Technical Account ManagementUpdated on Nov 11
Full-time

About the Job

Requirements

  • Genuine energy for customer-facing work, understanding customer businesses and needs, navigating complex organizations, and building trusted relationships.
  • Clear, direct, and persuasive communication with technical and non-technical audiences.
  • Strong analytical and critical-thinking skills to break down complex problems, identify risks early, and adapt to changing conditions.
  • Comfort engaging with technical concepts, including reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in design discussions.
  • A track record of running multiple complex, high-visibility projects concurrently and driving them to outcomes.

Responsibilities

  • Own the Agent Development Life Cycle from initial scope through conversation design, tooling, evaluation, launch, and continuous iteration in production; translate business goals into effective agents and tune them based on real-world performance.
  • Advise enterprise leaders, understand their business definitions of success, and shape AI strategy to achieve those outcomes.
  • Partner day to day with customer 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 provide feedback to research and platform teams to influence product direction.
  • Scope and launch subscription-retention agents for telecommunications or media customers to help retain at-risk customers.
  • Deploy commerce agents that troubleshoot devices end-to-end and personalize product recommendations within the same conversation.
  • Redesign conversation flows for financial services agents to handle complex, regulated interactions and convert pilots into multi-team production deployments.
  • Partner with product teams and live customers to develop new agent architectures or self-service tooling.
  • Define evaluation and quality standards for agents and use metrics to drive measurable outcome improvements.

Desired Qualifications

  • 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, a related technical field, or equivalent practical experience, and/or an MBA or comparable experience at the intersection of technology and business.

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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