Jobs

Software Engineer, Horizon

Sierra

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Location
San Francisco, CA
Track
AI Agent Engineer
Salary
$230K–$390K / yr
Posted
September 24, 2026
Source
Ashby

Job description

What you’ll do

  • Build primitives for self improvement: Create the feedback loops, evaluation systems, memory, signals, and decisioning infrastructure that help long-running agents learn from outcomes and improve over time.
  • Build the future of long-horizon agents: Design and ship agents that pursue complex business outcomes over days, weeks, or months across voice, SMS, email, and other channels.
  • Turn 0-to-1 work into a platform: Identify patterns and build reusable systems, abstractions, and tools that make future Horizon agents faster and easier to launch.
  • Solve technically complex problems: Build across orchestration, integrations, data, memory, signals, decisioning, observability, and multi-channel engagement.
  • Shape the Horizon product: Surface platform gaps through hands-on implementation and work with product and engineering to define Horizon’s architecture and roadmap.
  • Create a clean path beyond the POC: Once a solution is validated, translate what you built into durable product capabilities and enable a successful handoff for continued deployment.

What you’ll bring

  • Experience building and scaling end-to-end production systems.
  • Strong platform and systems engineering fundamentals.
  • The ability to move between customer problems, product design, and technical implementation.
  • Strong technical judgment in ambiguous, fast-changing environments.
  • A builder’s mindset and the ability to take products from zero to one.
  • Comfort working directly with customers and understanding complex business processes.
  • High agency, adaptability, and clear communication.
  • At least two years of professional software engineering experience
  • Experience with Python, TypeScript, or Go and React.

Even better

  • Experience as a founder, founding engineer, or early engineer at a startup.
  • Experience building workflow, orchestration, event-driven, or distributed systems.
  • Experience developing platforms or reusable infrastructure for other engineers.
  • Experience building or deploying AI and LLM-powered products.
  • Familiarity with enterprise integrations, APIs, data pipelines, and systems of record.
  • Experience working in complex industries such as financial services or healthcare.

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