Staff Software Engineer, Voice Agent at Decagon

San Francisco, California, United States

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$250,000 – $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 significant technical leadership
Expertise in real-time systems, streaming pipelines, or audio-based applications
Ability to define architectural direction and lead cross-functional projects
Strong debugging skills across audio, networking, and model-driven systems
Experience mentoring engineers and influencing engineering standards
Even better
Experience with speech recognition or synthesis systems
Experience with VAD, streaming protocols, or other real-time audio systems
Experience designing or maintaining LLM-driven applications
Experience optimizing performance for low-latency use cases

Responsibilities

Own the architecture of Decagon’s real-time voice runtime and shape its long-term roadmap
Lead initiatives that improve speech understanding, synthesis quality, and conversational timing
Define reliability, testing, and observability standards for live voice interactions
Build frameworks that make voice systems easy to debug, measure, and iterate on
Mentor senior engineers and help expand the technical culture of the Voice group

Skills

Software Engineering

Voice Agent

Real-time Systems

Speech Understanding

Audio Streaming

Speech Synthesis

System Architecture

Latency Optimization

Performance Tuning

Conversational AI

Omnichannel

Scalability

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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