
Retell is the #1 voice AI agent platform, enabling you to build, test, deploy, and monitor voice AI agents. Industries such as healthcare, insurance, financial services, and logistics use Retell to automate and enhance call operations.

Retell is the #1 voice AI agent platform, enabling you to build, test, deploy, and monitor voice AI agents. Industries such as healthcare, insurance, financial services, and logistics use Retell to automate and enhance call operations.
What they do: Voice-first conversational AI platform to build, deploy, and monitor AI voice agents that automate inbound and outbound phone calls.
Stage & funding: Seed-stage; $4.6M seed round (lead: Alt Capital).
Founding & HQ: Founded 2023; co-founder & CEO Bin Wu; based in San Francisco, CA.
Enterprise features: Telephony integrations (SIP trunking), low-latency LLM + speech models, and enterprise compliance claims (HIPAA, SOC 2 Type II, GDPR).
| Company |
|---|
Call center and phone-based customer workflows (inbound/outbound calls, customer service, appointment scheduling, call operations automation).
2023
Technology, Information and Internet
$4.6M
Round included participation from Y Combinator, Carya Venture Partners, and 20+ founders/executives/operators; named participants include Jack Altman, Aaron Levie, Siqi Chen, Michael Seibel, and Peer Richelsen.
โSeed round led by Alt Capital with participation from Y Combinator, Carya Venture Partners, and multiple founders/executives (including named angels and operators).โ
About Retell Ai Retell AI is using the first principles to reimagine the call center with cutting edge voice AI.
Since launching 18 months ago, thousands of companies now utilize Retellโs AI voice agents to handle sales, support, and logistics calls that once required large teams of human agents. Backed by Y Combinator, Alt Capital, and other leading investors, we have scaled to $36M ARR with a team of 20 people, up from $5M at the start of 2025.
In 2026, We are expanding our vision to build a CX platform of the AI era where the entire contact center is reimagined as a team of AI employees. We are moving beyond mechanical automation that relies on human finetuning to instead transform core functions into intelligent, opinionated AI roles. Frontline agents, QA analysts, and managers now operate as distinct digital workers that serve as the new interface for customer experience. They execute, monitor, and improve continuously to create a system where software behaves like an organization.
Weโre scaling fast, and weโre looking for bold, ambitious people to help us build the gold standard for voice automation. If you want to work on deeply technical challenges, move fast, and make an outsized impact at one of the fastest-growing Voice AI startups in the world, youโll love it here.
Letโs build the future together.
About The Role As a Senior Software Engineer, AI Automations at Retell, you will build and own the internal systems that power how the company operates, sells, hires, and stays compliant.
This is a high-leverage, cross-functional engineering role focused on automating business-critical workflows across HR, GTM, Finance, Security, and Operations. Youโll work directly with founders and functional leaders to turn manual, error-prone processes into scalable, reliable systems using modern tooling, APIs, and LLMs.
This role is ideal for an engineer who enjoys full-stack development, moves quickly in 0โ1 environments, and wants to deeply understand how a fast-growing AI company actually runs.
Key Responsibilities Build Core Business Automations
HR & Recruiting Automation
Security & Compliance Tooling
Operations & Finance Automation
GTM & Revenue Engineering
Integrations & Platforms
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INTERVIEW PROCESS
Recruiter Intro Call (15 min): Have a call with a recruiter to discuss your background, motivation, and role alignment.
Technical First Round (45 min): Assessment of full-stack fundamentals: this will be a brief live building session with our founder.
Onsite (3 hours):
Full-stack engineering: Review data modeling, pipelines, and understanding of analytics systems.
Tools and automation design: Evaluate how quickly you can analyze cohorts, design metrics, and make trade-off decisions.
GTM cross-functional collaboration: Meet with other teams to understand how you would work with them.
Business judgment: Demonstrate how you translate data into decisions and approach problem-solving.