Staff Real-Time Voice Platform Engineer

FDE Times; San Francisco (CA); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Medical, Dental, and Vision

Life Insurance

Retirement Plan (401K)

Parental Leave

Fertility and family benefits

Wellness stipend

Daily lunches and snacks

Take what you need vacation policy

Job summary

Decagon is seeking a Staff Software Engineer focused on Voice Agent to lead the architecture of Decagon’s real-time voice platform, driving multi‑quarter initiatives that improve timing, responsiveness, audio quality, and reliability across millions of interactions.

You will collaborate with Research to integrate speech models, with Infra to push latency and performance, and with Product to bring new voice capabilities to customers.

Qualifications

• 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.

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

Real-time systems

Engineering leadership

Cross-functional leadership

Debugging skills

Job description

Decagon is seeking a Staff Software Engineer focused on Voice Agent to lead the architecture of Decagon’s real-time voice platform, driving multi‑quarter initiatives that improve timing, responsiveness, audio quality, and reliability across millions of interactions.

You will collaborate with Research to integrate speech models, with Infra to push latency and performance, and with Product to bring new voice capabilities to customers.