Technical Ex-Founder

Retell AI is using first principles to reimagine the call center with cutting-edge voice AI.

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 $60M ARR with a team of 40 people, up from $5M at the start of 2025.

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 can act as frontline agents, QA analysts, and managers — continuously executing, monitoring, and improving customer interactions.

We’re growing quickly and looking for ambitious builders who want to tackle hard technical problems, move fast, and have real impact at one of the fastest-growing voice AI startups.

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/

• Enterprise tech 30: https://www.wing.vc/et30/overview

You’ll be part of our AI Automations Engineering team, building the internal systems that power how Retell operates day to day.

This is a highly hands-on, 0→1 role for someone who enjoys moving fast and building across the stack. You’ll design and ship automation workflows across HR, GTM, Finance, Security, and Operations , turning manual, error-prone processes into scalable systems using APIs, modern tooling, and LLMs.

You won’t just be wiring tools together. You’ll own systems end-to-end, from defining the problem and architecture to building, deploying, and iterating on solutions that directly impact how the company runs and scales.

You’ll work closely with founders and cross-functional leaders to turn ambiguous business problems into real, production systems. This role is ideal for someone who likes building quickly, thinking in systems, and owning outcomes across the business.

• Design and implement internal tools and workflows that automate key business processes across the company.

• Own systems end-to-end: requirements, architecture, implementation, deployment, and iteration.

• Build resume ingestion and candidate evaluation pipelines, including extracting signals and structured attributes from resumes.

• Implement candidate scoring systems to estimate likelihood of passing interviews.

• Develop AI-assisted recruiting tools (candidate screening, recruiter assistants, interview coordination).

• Automate candidate email outreach, follow-ups, and status updates.

• Build and maintain automations for customer contracts, including BAA, DPA, and DocuSign workflows.

• Create systems to automate customer security and compliance questionnaires.

• Partner with legal and security stakeholders to encode compliance logic into reliable tools.

• Build account receivable workflows, invoicing support, and automated customer communications.

• Develop tooling for enterprise customer onboarding and account setup.

• Reduce operational overhead by replacing manual processes with robust internal systems.

• Build and maintain automations across CRM and GTM systems.

• Implement customer lifecycle automations across signup, onboarding, expansion, and renewal.

• Support targeted website, ads, and email personalization workflows.

• Partner closely with GTM teams to ship tools that directly impact revenue efficiency.

• Integrate with third-party systems

• Design APIs and internal services that scale company growth.

• Have a Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.

• Have 2+ years of full-stack professional software engineering experience

• You’ve worked with React and Python for 1+ year and are comfortable building and iterating on user-facing features.

• Have 1+ year of startup experience and are comfortable with ambiguity and fast iteration.

• Are strong across backend, frontend, and integrations, not just one layer.

• Enjoy working on internal tools that directly impact how teams operate.

• Can translate messy business problems into clean technical systems.

• Move quickly on 0–1 projects without needing heavy process or direction.

• Communicate clearly with non-engineering stakeholders and cross-functional partners.

• Prefer ownership and responsibility over narrowly scoped tickets.

• Experience partnering closely with GTM, Ops, Finance, or Legal teams is a plus

• Prior work on internal tooling, automation platforms, or workflow systems is a plus

• Hands-on experience with CRM, billing, or compliance-related systems is a plus

• Cash: 200k - 300k

• Equity: Equity Provided

• Location: Redwood City, CA, US

• US Visas: Retell AI is open to sponsoring work authorization for qualified candidates, including H1B/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.

1. Recruiter Intro Call (15min): Learn about us and share your background.

2. Technical Phone Interview (45 min): Live coding on CoderPad, explaining your approach.

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

   1. Communication: Persuade and align stakeholders.

   2. Architecture Case: Design a production-ready system.

   3. Problem-Solving: Build a full-stack solution under constraints in any basic environment setup like python, java, node.js, etc.