Retell AI Logo

Retell AI

Staff Engineer, Platform & Systems

Posted 11 Days Ago
In-Office or Remote
7 Locations
Expert/Leader
In-Office or Remote
7 Locations
Expert/Leader
The Principal/Staff Engineer will lead the technical direction of the platform, overseeing systems architecture, driving complex initiatives, and ensuring scalability and reliability while mentoring the engineering team.
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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 Retell’s 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.

We’re scaling fast, and we’re 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, you’ll love it here.

Let’s build the future together.

  • We’re a top 50 AI app in a16z list: https://tinyurl.com/5853dt2x

  • #4 on Brex's Fast-Growing Software Vendors of 2025: https://www.brex.com/journal/brex-benchmark-december-2025

  • We're also one of the top ranking startups on: https://leanaileaderboard.com/

THE ROLE

We’re looking for a Principal/Staff Engineer to help own the technical direction of our core platform. This is a staff-level IC role for someone who thrives in ambiguity, moves fast, and raises the bar for everyone around them.

You’ll work across systems, infrastructure, and product surfaces — partnering closely with engineering, product, and leadership to scale what’s already working and build what’s next.

This is not a “ticket taker” role. You’ll define problems, design solutions, and ship.

KEY RESPONSIBILITIES
  • Own the design and evolution of core platform and systems architecture.

  • Lead complex technical initiatives end-to-end, from concept to production.

  • Make high-leverage technical decisions that balance speed, reliability, and scale.

  • Raise the technical bar through design reviews, mentoring, and hands-on leadership.

  • Partner closely with product to translate business needs into robust technical solutions.

  • Identify and resolve performance, scalability, and reliability bottlenecks.

  • Help define engineering best practices as we scale the team and platform.

YOU MIGHT THRIVE IF
  • You have 9+ years of experience building and operating production systems.

  • You’ve operated at Staff or Principal level (or equivalent scope), even if the title wasn’t official.

  • You’re strong in systems design and can reason clearly about tradeoffs.

  • You move fast but care deeply about correctness, reliability, and maintainability.

  • You’re comfortable owning ambiguous problems and defining the path forward.

  • You’ve built or scaled platforms used by real customers at meaningful volume.

  • You enjoy being hands-on — writing code, reviewing designs, and unblocking teams.

Bonus points if you’ve worked with: distributed systems, Voice AI, real-time systems, APIs at scale, infra/platform work, or developer-facing products.

WHY THIS ROLE
  • Real ownership over core systems.

  • Direct influence on product and company direction.

  • A small, high-caliber team with very little process drag.

  • Problems that matter — to customers, revenue, and scale.

If you want a role where your decisions visibly shape the company, this is it.

JOB DETAILS
  • Cash: $240-$300k

  • Equity: Offers Equity

  • Location: Redwood City, CA, US

  • US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.

OTHER BENEFITS
  • 100% coverage for medical, dental, and vision insurance

  • $70/day DoorDash credit for unlimited breakfast, lunch, dinner, and snacks

  • $200/month wellness reimbursement (gym, fitness classes, etc.)

  • $300/month commuter reimbursement (gas, Caltrain, etc.)

  • $75/month phone bill reimbursement

  • $50/month internet reimbursement

COMPENSATION PHILOSOPHY
  • Best Offer Upfront: Choose from three cash-equity balance options; no negotiation needed.

  • Top 1% Talent: Above-market pay (top 5 percentile) to attract exceptional builders.

  • High Ownership: Small teams, >$1M revenue/employee, and significant equity.

  • Performance-Based: Offers tied to interview performance, not experience or past salaries.


INTERVIEW PROCESS
  1. Recruiter Screen (15min): Speak with a member of the talent team to learn more about us and which team you would be a good fit for.

  2. Technical Interview (45 min): Practical coding session focused on code fluency and system design (For frontend roles, we will focus on React-specific questions. For backend roles, we take a technology-agnostic approach.)

  3. Technical Interview (45 min): This is a systems design-focused interview. There will be no coding; we want to assess your skills in systems design.

  4. Onsite/Virtual Interviews (2–3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:

    1. Practical Coding: Tackle real-world coding tasks with debugging.

    2. System Design: Architect a production-ready system.

    3. Tools & Automation: Build automations or improve workflows in any basic environment setup like python, java, node.js, etc.

Top Skills

APIs
Distributed Systems
Java
Node.js
Python
Real-Time Systems
Voice Ai

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