Decagon Logo

Decagon

Senior Software Engineer, Enterprise Product

Posted 4 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
250K-330K Annually
Senior level
In-Office
San Francisco, CA, USA
250K-330K Annually
Senior level
As a Senior Software Engineer, you'll build tools for customers to create AI agents, design user-friendly interfaces, and enhance customer experiences through innovative software solutions.
The summary above was generated by AI

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.

About the Role

You'll be a full-stack product engineer building the tools that empower customers to create and optimize their AI agents. This means working closely with the Agent Software Engineering and Agent PM 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 TypeScript and/or Python, 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 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

Benefits

  • Medical, dental, and vision benefits

  • Take what you need vacation policy

  • Daily lunches, dinners, and snacks in the office to keep you at your best

Compensation

$250K – $330K + Offers Equity

Top Skills

Python
Typescript
HQ

Decagon San Francisco, California, USA Office

2261 Market St, 5378, San Francisco, California, United States, 94114

Similar Jobs

35 Minutes Ago
Remote or Hybrid
San Francisco, CA, USA
Junior
Junior
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Senior Associate, Revenue Operations will manage territory, improve processes, own reporting, analyze data, and develop compensation plans in collaboration with sales leadership.
Top Skills: ClayExcelGsheetsLookerOutreachSalesforceZoominfo
35 Minutes Ago
Remote or Hybrid
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
The Senior Manager will partner with commercial leaders to drive revenue growth through enablement initiatives, develop training content, and enhance sales processes for commercial teams.
Top Skills: ChorusGongHighspotLmsOutreachSalesforce
35 Minutes Ago
Remote or Hybrid
San Francisco, CA, USA
Senior level
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Partner with the CEO office and exec team to lead cross-functional strategic initiatives—driving revenue growth, cost optimization, organizational effectiveness, M&A support, IPO readiness, and tracking/project delivery using data-driven analysis and stakeholder management.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account