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EngineeringOn-site

Senior Software Engineer, Enterprise Product

Decagon · On-site

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Decagon's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model
On-site
Salary
$200K - $400K
Location
San Francisco
Occupation
Software Developers(O*NET 15-1252.00)
Company website
decagon.ai

Hiring context

How this role compares at Decagon

Decagon has 140 live roles in MeritLog’s catalog across 13 job families, and 71 of them are in engineering. 128 of those listings publish a pay range, a disclosure rate of 91%.

This role's posted range of $200K - $400K sits above 69% of the 108 other Decagon roles quoted over the same currency and period.

Decagon concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

  • Eliminate manual engineering work by building self-serve functionality for agent configuration, training, and deployment
  • Create AI-powered tools that enable non-technical teams to create and manage sophisticated workflows without writing code
  • Design configuration abstractions that balance power and simplicity - handling diverse use cases while remaining accessible to non-technical teams
  • Build monitoring and analytics that surface actionable insights, helping customers identify where their agents can improve
  • Own features end-to-end, from technical architecture through deployment and iteration

What they're asking for

  • 4+ years building full-stack software products with strong product thinkingExperience
  • Proficient in Python and/or TypeScript, comfortable working across the entire stackSkill
  • Experience translating complex technical capabilities into simple, usable interfacesSkill
  • Track record of balancing technical excellence with pragmatic shippingSkill
  • Experience building security-sensitive product systems, such as authentication and data access controls.Skill
  • Experience building developer tools, APIs, platforms, or internal tools that became customer-facingSkill
  • Background with LLMs, prompt engineering, or AI agent systemsSkill
  • Familiarity with asynchronous programming and building scalable systemsSkill
  • Experience with observability, data visualization, or analytics productsSkill

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values - Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle - shape how we work and grow as a team. About the Team The Enterprise Product team creates the platform that customers use to build, maintain, and improve their AI agents. We transform complex engineering work into intuitive self-serve products, making sophisticated AI capabilities accessible to both technical and non-technical Customer Experience teams. This team is core to Decagon’s ability to scale: the tools you build directly support agents for all our customers, each with unique workflows, data, and requirements. About the Role As a Senior Software Engineer on the Enterprise Product team, you will take ownership of designing and building robust, scalable systems that allow customers to create and optimize their AI agents with confidence. This means working closely with customer facing teams to understand current workflows, then designing elegant abstractions and interfaces that scale those capabilities across our customer base. You’ll work day-to-day with the core product and design teams, joining discovery, defining requirements, reviewing designs, and iterating through launch. In this role, you will - Eliminate manual engineering work by building self-serve functionality for agent configuration, training, and deployment - Create AI-powered tools that enable non-technical teams to create and manage sophisticated workflows without writing code - Design configuration abstractions that balance power and simplicity - handling diverse use cases while remaining accessible to non-technical teams - Build monitoring and analytics that surface actionable insights, helping customers identify where their agents can improve - Own features end-to-end, from technical architecture through deployment and iteration Your background looks something like this - 4+ years building full-stack software products with strong product thinking - Proficient in Python and/or TypeScript, comfortable working across the entire stack - Experience translating complex technical capabilities into simple, usable interfaces - Track record of balancing technical excellence with pragmatic shipping Even better - Experience building security-sensitive product systems, such as authentication and data access controls. - Experience building developer tools, APIs, platforms, or internal tools that became customer-facing - Background with LLMs, prompt engineering, or AI agent systems - Familiarity with asynchronous programming and building scalable systems - Experience with observability, data visualization, or analytics products Compensation $200K – $400K + Offers Equity This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact. In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States. Benefits We proudly offer the following benefits for our full-time employees: - Medical, Dental, and Vision benefits for you and your family - Life Insurance and Disability Benefits - Retirement Plan (e.g., 401K, pension) - Parental Leave - Fertility and family building benefits through Carrot - Monthly stipend to support your wellness, lifestyle, and work-life balance - Daily lunches and snacks in the office to keep you at your best - Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave) These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

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