Staff Software Engineer, Product

New York Cityfull timeOn Site

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senior

$200k–$400k

H1B: no

Decagon Staff Software Engineer, Product at Decagon designs and builds systems for configuring, training, testing, and monitoring AI agents. The role involves collaborating with product and design teams to create scalable abstractions and AI-powered tooling for customer use.

Responsibilities

You’ll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence. That means strong engineering underneath, and abstractions on top that hold up across different use cases without forking per customer.
You’ll work day to day with product and design: joining discovery, defining requirements, reviewing designs, and iterating through launch. You’ll stay close enough to customers to understand their use cases in depth and to ensure what you’re building is actually right for them.
Engineers here own features end to end, from technical architecture through deployment and the iteration after it.
Eliminate manual work by building self-serve functionality for agent configuration, training, and deployment
Design configuration abstractions that balance power and simplicity, handling diverse enterprise use cases while staying usable by non-technical teams
Build AI-powered tooling that lets CX and ops teams create and manage complex agent workflows without writing code
Build monitoring, tracing, and analytics that surface actionable signal, so customers can see where an agent is failing and why
Handle agentic systems at scale; your work will touch critical flows for Fortune 100 companies.
Run evaluations on new text and voice models, then integrate the ones that win into production traffic

Qualification

7+ years building software productsProficient in PythonComplex systems instinctsBackground with LLMsExperience building developer toolsExperience with observabilityWork with multi-modal or voice models

Required

7+ years building software products, with strong product thinking
Proficient in Python, comfortable working across the entire stack
Experience translating complex technical capabilities into simple, usable interfaces
Complex systems instincts, including asynchronous programming and the failure modes that only appear at scale
A high degree of comfort debugging system failures in deep technology stacks, using whatever tool gets you to the answer
A knack for turning customer asks into clear, well-scoped product and technical specs
Judgment about when to ship fast and when to slow down and build it correctly
Background with LLMs, prompt engineering, evals, 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
Work with multi-modal or voice models

Benefits

Dental
Vision
401(k)
Equity/RSU
Parental Leave
Life Insurance
Wellness

Company

Decagon

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Source: ashby

Active within the past hour

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Must-Have Skills for This Role

AI agentssoftware engineeringproduct designmonitoringtracinganalytics

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