Staff Software Engineer, Enterprise Product

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.

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.

You'll be a technical leader for a full-stack product engineering team, shaping the platform that empowers 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 defining technical strategy and establishing patterns 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. Beyond building features, you'll mentor engineers as the team grows, supervising projects and providing technical direction for their work.

• Drive technical direction for the team, to build enterprise ready platform that scale with our customer base and features, by applying the right architectural principles and design patterns.

• Lead complex initiatives from ambiguous requirements to shipped products

• Create AI-powered tools that enable non-technical teams to create and manage sophisticated workflows without writing code

• Build monitoring and analytics that surface actionable insights, helping customers identify where their agents can improve

• Partner directly with customers and cross-functional teams to identify opportunities and validate product direction

• Mentor engineers and elevate team practices through code review, technical design, and knowledge sharing

• 6+ years building full-stack software products, with demonstrated impact on technical direction and strong product thinking

• Deep expertise in TypeScript and/orPython, with strong architecture and system design skills

• Proven ability to design abstractions and platforms that serve diverse use cases elegantly

• Track record of leading technical initiatives and driving consensus across teams

• Experience balancing technical excellence with rapid iteration and customer needs

• Strong product intuition and history of translating user feedback into technical solutions

• History of mentoring engineers and establishing technical standards

• Experience building security-sensitive product systems, such as authentication and data access controls.

• Experience building and scaling developer tools, APIs, platforms, or infrastructure products

• Familiarity with LLMs, AI agent systems, prompt engineering, or building products on top of AI capabilities

• Familiarity with asynchronous programming and building scalable systems

• Experience with observability, data visualization, or analytics products

• History of establishing technical standards, design patterns, or architectural principles adopted across teams