Staff Software Engineer, Agent Orchestration at Decagon

San Francisco, California, United States

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$300,000 – $375,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Conversational AI, Artificial Intelligence, TechnologyIndustries

Requirements

8+ years of engineering experience with a strong record of technical leadership
Proficiency in Python or Typescript and comfort with asynchronous programming
Expertise in distributed systems, concurrency, or large-scale real-time platforms
Ability to define long-term architecture and lead complex cross-functional projects
Strong instincts around system correctness, reliability, and debuggability
Experience mentoring other engineers and raising the technical bar

Responsibilities

Own the architecture and evolution of the core execution engine behind Decagon agents
Lead design for systems that coordinate complex reasoning and action flows at scale
Drive reliability, testing, and observability standards across the orchestration stack
Create frameworks that enable safe, fast iteration on agent behavior
Mentor senior engineers and help grow the technical culture of Agent Orchestration

Skills

Key technologies and capabilities for this role

Software EngineeringAgent OrchestrationSystem ArchitectureScalabilityDistributed SystemsModel ReasoningAI AgentsReliability EngineeringPerformance Optimization

Questions & Answers

Common questions about this position

What is the salary range for this Staff Software Engineer position?

The salary range is $300K - $375K.

Is this role remote or in-office?

Decagon is an in-office company.

What skills and experience are required for this role?

Candidates need 8+ years of engineering experience with technical leadership, proficiency in Python or Typescript with asynchronous programming, expertise in distributed systems, concurrency, or large-scale real-time platforms, and experience defining architecture and mentoring engineers.

What is Decagon's company culture like?

Decagon emphasizes in-office work driven by commitment to excellence and velocity, with values including customers are everything, relentless momentum, winner’s mindset, and stronger together.

What makes a strong candidate for this Staff Software Engineer role?

A strong candidate thrives on technical depth, has a record of technical leadership, can influence across teams, and has experience designing systems like runtimes or execution engines.

Decagon

Generative AI solutions for customer support

About Decagon

Decagon.ai provides generative AI solutions designed to improve customer support and operational efficiency for various clients, from large enterprises to growing startups. Their tools automate complex data processes, helping businesses identify themes, detect anomalies, and extract valuable insights from customer interactions. The AI-powered assistance offered by Decagon.ai takes care of routine tasks and learns from human agents, which boosts productivity and enhances customer satisfaction. Unlike many competitors, Decagon.ai focuses on deeply integrating its scalable solutions with clients' internal systems, ensuring smooth automation and support. The company operates on a subscription-based model, allowing clients to access their AI tools and support services. Notable clients include Bilt, Fourthwall, and Vanta, who utilize Decagon.ai's technology for automating ticketing, supporting creators, and improving pre-sales processes.

San Francisco, CaliforniaHeadquarters

2023Year Founded

$97.3MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Meal Benefits

Risks

Increased competition from AI giants like OpenAI and Google threatens Decagon's market share.

Over-reliance on key clients like Bilt and Vanta poses a potential business risk.

Rapid technological advancements could render Decagon's solutions obsolete without continuous innovation.

Differentiation

Decagon.ai offers AI solutions that enhance customer support and operational efficiency.

Their AI-powered agent assistance handles mundane tasks, improving productivity and satisfaction.

Decagon.ai's tools automate complex data processes, unlocking valuable insights from interactions.

Upsides

Increased demand for AI-driven customer support solutions enhances Decagon's market potential.

Growing interest in AI automation tools boosts Decagon's client acquisition opportunities.

Shift towards subscription-based AI services aligns with Decagon's scalable business model.

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