Senior Software Engineer, AI Automations

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: #4 on Brex's Fast-Growing Software Vendors of 2025: We're also one of the top ranking startups on: ABOUT THE ROLE As a 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. You’ll 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 0–1 environments, and wants to deeply understand how a fast-growing AI company actually runs. KEY RESPONSIBILITIES Build Core Business Automations 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. HR & Recruiting Automation 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. Security & Compliance Tooling 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. Operations & Finance Automation 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. GTM & Revenue Engineering 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. Integrations & Platforms Integrate with third-party systems Design APIs and internal services that scale company growth. YOU MIGHT THRIVE IF 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 JOB DETAILS Cash: $200k - $290k 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. 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 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. #J-18808-Ljbffr