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Senior Software Engineer, Insights

Decagon

Decagon

Software Engineering
San Francisco, CA, USA
USD 250k-375k / year + Equity
Posted on Nov 20, 2025

Location

San Francisco

Employment Type

Full time

Department

Engineering, Product & Design

Compensation

  • Base Salary $250K – $375K • Offers Equity

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.

Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.

About the Team

The Insights team builds the product surfaces that help companies understand the conversations their AI agents have with customers. We create tools that uncover customer intents, highlight gaps in agent behavior, analyze voice of customer patterns, and guide teams toward writing better AOPs and improving overall agent quality.

The team owns products like Insights, Watchtower, Suggestions, and AskAI. We focus on clear explanations, intuitive visualizations, and workflows that allow users to understand and act on information quickly.

This product area has a significant opportunity to shape how customers learn from their data and improve their agents.

About the Role

As a Senior Software Engineer on the Insights team, you will design and build the user facing tools that turn conversations into meaningful understanding. You will work across backend and frontend surfaces to deliver intuitive experiences that help CX teams, APMs, and product leaders diagnose issues, discover new intents, and understand customer sentiment.

This role is ideal for engineers who love building polished product experiences supported by strong analytical logic. You will solve ambiguous product problems and work closely with design, PM, and Agent Engineering to define how insight generation should feel inside Decagon.

In this role, you will

  • Build user-facing features that help teams understand customer intents, sentiment, and voice of the customer signals

  • Design intuitive visualizations and workflows that help APMs and CX teams write better AOPs and identify improvement opportunities

  • Create tools that highlight gaps in agent behavior, explain performance issues, and surface actionable recommendations

  • Build product experiences that make it simple to explore conversations and understand why agents behave the way they do

  • Work across the stack to deliver fast, reliable, and polished insights products that customers rely on daily

Your background looks something like this

  • 5+ years of engineering experience building customer-facing products

  • Proficiency with Typescript, Python, and asynchronous programming

  • Strong product sense and ability to solve vague analytical problems

  • Experience creating clear, effective visualizations or UI for complex information

  • Ability to collaborate with PM and Design to drive product direction

Even better

  • Experience with analytics products, conversation intelligence, or UX for insights

  • Experience working on products that help users understand behavior or improve workflows

  • Experience with LLM applications or agent-driven systems

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

Compensation Range: $250K - $375K