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Sierra

Builds AI agents for customer conversations

Software Engineer - Agent, Tech, Media & Telecom

AI Application EngineeringUpdated on Nov 11
Full-timeIn-person

About the Job

Requirements

  • Experience building and scaling end-to-end production systems.
  • Strong technical problem-solving skills, especially in fast-changing, ambiguous environments.
  • A builder and tinkerer mindset with high agency, including finding creative ways to overcome obstacles and ship.
  • Comfort working directly with customers to understand their needs and solve real-world problems.
  • Clear, direct, and persuasive communication across technical and non-technical audiences.
  • Excitement about the Tech, Media & Telecom space and helping leading brands build customer loyalty.

Responsibilities

  • Design and deliver highly performant, reliable, intuitive production-grade AI agents that are central, mission-critical, and directly drive revenue.
  • Own the Agent Development Life Cycle from initial pilot through deployment and continuous iteration, including building, tuning, and evolving agents in production and defining best practices.
  • Work directly with leaders at large enterprises to understand business challenges and build AI agents that transform operations at scale.
  • Partner with startups, embedding AI agents across their business stack to drive innovation and efficiency.
  • Use direct customer work to guide the evolution of Sierra's core platform, surface unmet needs, prototype tools and features, and collaborate with research, product, and platform teams.
  • Create agents that pursue goals over weeks and months, reason about outreach timing and channels, and select actions that advance customer relationships.
  • Develop personalization and experimentation systems powered by the Context Engine that combine customer data, behavior, prior conversations, and real-time context to select offers or experiences, learn from interactions, and improve personalization.
  • Design conversational discovery agents that reason across content catalogs and subscriber context to help users find relevant content.
  • Build agents that troubleshoot integrated telecommunications and connected-device experiences by reasoning across account, billing, network, and device systems and taking corrective actions.
  • Experiment with voice experiences and Voice Personas tailored to brands, customers, and situations.

Desired Qualifications

  • Experience building or deploying AI/LLM systems in production.
  • Founder or founding engineer experience.
  • Familiarity with evaluation frameworks, agent tooling, retrieval-augmented generation pipelines, and prompt engineering.
  • Prior experience with React, TypeScript, or Go.
  • Previous roles involving customer interaction or leading technical projects with external stakeholders.

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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