Senior Software Engineer, Product

Decagon•New York, NY
•$200,000 - $400,000•Onsite

About The Position

Decagon is hiring a Senior Software Engineer for its Product Engineering team, which builds the platform customers use to create, operate, and improve AI agents. The role involves designing and building systems that let customers configure, train, test, and monitor sophisticated AI agents, with robust engineering and reusable abstractions that support varied use cases without customer-specific forks. The engineer will collaborate day to day with product and design, taking part in discovery, requirements definition, design reviews, and launch iteration. The role stays close to customers to understand their use cases and ensure product decisions address them. Engineers own features end to end, from technical architecture through deployment and subsequent iteration. The work supports critical agent workflows for large enterprises across chat, voice, email, and SMS.

Requirements

  • At least 4 years of experience building software products.
  • Strong product thinking.
  • Proficiency in Python and comfort working across the entire stack.
  • Experience translating complex technical capabilities into simple, usable interfaces.
  • Strong instincts for complex systems, including asynchronous programming and failure modes that arise at scale.
  • Comfort debugging system failures in deep technology stacks using appropriate tools.
  • Ability to translate customer requests into clear, well-scoped product and technical specifications.
  • Good judgment about when to ship quickly and when to slow down to build correctly.

Nice To Haves

  • Background with LLMs, prompt engineering, evaluations, or AI agent systems.
  • Experience building developer tools, APIs, platforms, or internal tools that became customer-facing.
  • Experience with observability, data visualization, or analytics products.
  • Experience building security-sensitive product systems, such as authentication and data access controls.
  • Experience working with multimodal or voice models.

Responsibilities

  • Build self-serve functionality for agent configuration, training, and deployment to eliminate manual work.
  • Design configuration abstractions that accommodate diverse enterprise use cases while remaining usable by non-technical teams.
  • Build AI-powered tools that enable CX and operations teams to create and manage complex agent workflows without code.
  • Build monitoring, tracing, and analytics that help customers identify where agents fail and why.
  • Work on agentic systems at scale, including critical flows for Fortune 100 companies.
  • Evaluate new text and voice models and integrate successful models into production traffic.
  • Own features end to end, from technical architecture through deployment and post-launch iteration.
  • Collaborate with product and design on discovery, requirements, design reviews, and launches, while incorporating customer use cases.

Benefits

  • Medical, dental, and vision benefits for employees and their families.
  • Life insurance and disability benefits.
  • Retirement plan, such as a 401(k) or pension.
  • Parental leave.
  • Fertility and family-building benefits through Carrot.
  • Monthly stipend for wellness, lifestyle, and work-life balance.
  • Daily office lunches and snacks.
  • Take-what-you-need vacation policy, subject to local requirements; UK employees receive 25 days of statutory leave.
  • Competitive equity.
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