Senior Software Engineer, Product

Decagon • San Francisco, CA

1d • $200,000 - $400,000 • Onsite

About The Position

Decagon is hiring a Senior Software Engineer for its Product Engineering team, which builds the platform customers use to create, operate, and improve conversational AI agents. The role focuses on designing and building systems that help customers configure, train, test, and monitor sophisticated AI agents. The work combines strong engineering with abstractions that serve different use cases without requiring customer-specific forks.

The engineer will partner closely with product and design from discovery and requirements through design review, launch, and iteration, while staying connected to customers and their use cases. Engineers own features end to end, from technical architecture through deployment and post-launch improvement. The systems support agents used by major enterprises and critical workflows, including across chat, voice, email, and SMS.

Decagon describes itself as an in-office company. Compensation is $200,000–$400,000 plus equity, with final compensation dependent on experience, skills, scope, and U.S. location. The company provides a range of benefits to full-time employees.

Requirements

• At least 4 years of experience building software products.
• Strong product thinking.
• Proficiency in Python and comfort working across the entire stack.
• Experience translating complex technical capabilities into simple, usable interfaces.
• Strong instincts for complex systems, including asynchronous programming and failure modes that emerge at scale.
• Comfort debugging system failures in deep technology stacks using appropriate tools.
• Ability to turn customer requests into clear, well-scoped product and technical specifications.
• Good judgment about when to ship quickly and when to slow down to build correctly.

Nice To Haves

• Background with LLMs, prompt engineering, evaluations, or AI agent systems.
• Experience building developer tools, APIs, platforms, or internal tools that became customer-facing.
• Experience with observability, data visualization, or analytics products.
• Experience building security-sensitive product systems, such as authentication and data access controls.
• Experience working with multimodal or voice models.

Responsibilities

• Build self-serve functionality for agent configuration, training, and deployment to eliminate manual work.
• Design configuration abstractions that balance power and simplicity across diverse enterprise use cases and remain usable by non-technical teams.
• Build AI-powered tools that enable customer experience and operations teams to create and manage complex agent workflows without writing code.
• Build monitoring, tracing, and analytics that provide actionable signals about agent failures and their causes.
• Develop systems for agentic workflows at scale, including critical flows for Fortune 100 companies.
• Evaluate new text and voice models and integrate successful models into production traffic.
• Partner with product and design on discovery, requirements, design reviews, launches, and iteration.
• Own features end to end, from technical architecture through deployment and subsequent iteration.
• Stay close to customers to understand their use cases and ensure product development meets their needs.

Benefits

• Medical, dental, and vision benefits for employees and their families.
• Life insurance and disability benefits.
• Retirement plan, such as a 401(k) or pension.
• Parental leave.
• Fertility and family-building benefits through Carrot.
• Monthly stipend supporting wellness, lifestyle, and work-life balance.
• Daily office lunches and snacks.
• Take-what-you-need vacation policy, subject to local requirements; UK employees receive 25 days of statutory leave.
• Competitive equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed