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About the Role
Design and build systems enabling customers to confidently configure, train, test, and monitor sophisticated AI agents. This involves robust engineering and high-level abstractions that accommodate diverse use cases without customer-specific modifications. Collaborate daily with product and design teams on discovery, requirements definition, design reviews, and launch iterations. Maintain close customer contact to deeply understand their use cases and ensure product relevance. Engineers own features end-to-end, from architecture to deployment and post-launch iteration.
Responsibilities
- 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 remaining usable by non-technical teams.
- Build AI-powered tooling enabling CX and ops teams to create and manage complex agent workflows without writing code.
- Build monitoring, tracing, and analytics to surface actionable insights, allowing customers to identify and understand agent failures.
- Handle agentic systems at scale, impacting critical flows for Fortune 100 companies.
- Evaluate new text and voice models, integrating successful ones into production traffic.
Requirements
- 7+ years building software products with strong product thinking.
- Proficient in Python and comfortable working across the entire stack.
- Experience translating complex technical capabilities into simple, usable interfaces.
- Complex systems instincts, including asynchronous programming and scale-dependent failure modes.
- High comfort level debugging system failures in deep technology stacks using appropriate tools.
- Ability to transform customer requests into clear, well-scoped product and technical specifications.
- Judgment to balance shipping speed with building correctly.
Skills
- Python
- Asynchronous programming
- Debugging
- LLMs
- Prompt engineering
- AI agent systems
- Developer tools
- APIs
- Platforms
- Internal tools
- Observability
- Data visualization
- Analytics products
- Security-sensitive product systems
- Authentication
- Data access controls
- Multi-modal models
- Voice models
Location
- United States
Work Type
- In-office
- Full-time
Experience Level
- 7+ years
Salary/Compensations
- $200K – $400K + Offers Equity
Benefits
- 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 for wellness, lifestyle, and work-life balance
- Daily lunches and snacks in the office
- Take what you need vacation policy
About the Company
- 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.