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Redwood City, California, United States
Onsite
Available
Retell AI is using first-principles thinking to reimagine the call center with cutting-edge voice AI. Thousands of companies now use 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've scaled to $80M in ARR with a team of 50, up from $5M at the start of 2025, and are now valued at over $1.5B.
Our vision for 2026 is to build a modern CX platform where entire contact centers are powered by AI. Instead of basic automation that needs constant human tuning, we're creating intelligent AI “workers” that act as frontline agents, QA analysts, and managers, continuously executing, monitoring, and improving every customer interaction.
We're growing fast and looking for ambitious builders who want to tackle hard technical problems, move quickly, and have a real impact on one of the fastest-growing voice AI companies in the world.
Let's build the future together.
Recent recognition:
No. 1 Best Places to Work in the Bay Area, San Francisco Business Times 2026
#3 Fastest-Growing Software Company, G2 Best Software Awards 2026
Retell AI transforms customer experience with voice AI for enterprises, including customers like CVS/Aetna, American Airlines, Lenovo, and Grab. We have more customer stories than we can tell!
Founders Initiatives is a cross-functional team that works directly with Retell's founders on the company's highest-priority opportunities and challenges. Team members are expected to operate across functions, build from first principles, and help scale the business in whatever way creates the most impact.
This is not a narrowly scoped role, it is a high-ownership builder position where you will work across product, engineering, GTM, operations, and AI systems to design and ship core company infrastructure.
We are hiring an Internal Deployed Engineer to build the AI systems and automations that power how Retell operates internally. You'll work directly with our founders and teams to streamline recruiting, sales, finance, operations, and customer support through AI.
You'll design and deploy production-grade AI workflows, internal tools, and agent systems that improve efficiency across the company. This role combines applied AI, software engineering, automation, and business operations.
We're open to exceptional new graduates (0–1 years of experience) who have demonstrated strong engineering ability through internships, research, personal projects, or startup experience. If you enjoy solving real business problems with AI and want to build systems that have an immediate company-wide impact, we'd love to hear from you.
Build systems that extract structured signals from resumes (skills, experience, founder traits, domain expertise)
Develop lead scoring models to predict interview success and role fit
Design AI recruiter workflows for candidate screening and qualification
Automate personalized outbound email and candidate engagement workflows
Build automation systems for customer security workflows (BAAs, DPAs, DocuSign, contract review flows)
Automate security questionnaire and compliance response generation
Improve internal tooling for enterprise readiness and audit processes
Build systems for accounts receivable automation and finance-related email workflows
Create automated enterprise customer onboarding and account setup tools
Design internal systems that reduce manual operational overhead across teams
Integrate with CRM systems such as Salesforce, HubSpot, and GoHighLevel
Build workflow automation using tools like Zapier, n8n, and Make
Design LLM-powered systems using OpenAI, Gemini, Claude, and other models
Own API-based integrations that connect internal systems across the company
Build HubSpot and Lark automations to improve sales and marketing efficiency
Develop lifecycle automation systems for customer engagement and retention
Create targeted website personalization and ad content generation systems
Build email personalization and outbound automation pipelines at scale
Have a Bachelor's degree in Computer Science, Computer Engineering, or a closely related technical field.
Have strong software engineering fundamentals (backend, full-stack, or systems).
Have demonstrated exceptional engineering ability through internships, startup experience, research, or meaningful side projects.
Experience with LLMs, AI agents, or modern AI tooling is a strong plus.
Think like a founder and take ownership from day one.
Enjoy solving business and operational problems with technology.
Are excited to work across engineering, product, recruiting, sales, and operations to build tools that improve how the company operates.
Move quickly, learn fast, and thrive in ambiguous, fast-paced environments.
Prefer building end-to-end systems over narrowly defined tasks.
Care deeply about shipping impactful products that solve real problems.
Exceptional new graduates and engineers with up to 1 year of experience are encouraged to apply.
Cash: 200k - 300k
Equity: Offers Meaningful 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.
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
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.
Intro Call (15-20min): Connect with our talent team to get a deeper look at the team and the work you'd be doing.
First Technical Phone Interview (45 min): System Design & Project Deep Dive
Second Tech Screen (45min): Tools & Automation
Final Interview
Coding and Technical Round (90 min)
Cross-Functional Interview (30 min)
Past Project Deep Dive (30 min)
