When food delivery workers cannot complete an order because an address changed mid-route, human dispatchers typically put workers on hold, call the customer to confirm, and navigate anti-fraud checklists. At DoorDash, an automated voice agent built by Giga handles that entire workflow in parallel. The system maintains an active line with the driver, dials the consumer on a second concurrent line to verify the delivery location, cross-checks address data, and marks the delivery complete without human intervention.
That multi-party voice capability helped Giga close a $61 million Series A round led by Redpoint Ventures, with participation from Y Combinator and Nexus Venture Partners, as reported by Fortune. As noted in Hindustan Times, co-founders Varun Vummadi and Esha Dinne bypassed graduate programs and trading firm job offers after graduating from IIT Kharagpur in 2023 to build the company in San Francisco. With customer volume climbing across food delivery, financial services, and telecommunications, the company is now staffing up its technical and operational teams in San Francisco.
Building Multi-Party Voice Architecture
Unlike traditional conversational bots that rely on static dialogue trees and achieve deflection rates between 10% and 15%, Giga operates a real-time orchestration layer that responds in under 500 milliseconds. The system listens, processes speech, queries live enterprise databases, checks business compliance, and generates spoken responses in natural cadences.
In an interview on YC Root Access, the founders explained that competing platforms often rely on forward deployed engineering teams to hand-craft bespoke software for each customer. Giga took an alternative architectural approach: integrating Python as a first-class execution primitive. Non-technical operations teams define policies in natural language or upload transcripts and JSON rule sets. Giga's internal models convert that business logic directly into executable Python code and workflows.
This structure enables the platform to deploy enterprise implementations within one to two weeks rather than several months. To mitigate language barriers and regional accent issues common in automated telephony, Giga fine-tunes open-source multilingual large language models using internal scripts. The models allow callers to switch into native languages while the system remembers user interaction preferences across sessions. For regulated deployments in finance and healthcare, Giga runs its open-source stack directly inside the customer's cloud infrastructure, ensuring customer operational records remain within the client perimeter.
Growth Bottlenecks and Internal Tooling
During a discussion on Vorflux, Dinne explained that Giga maintains an AI forward deployed engineer bot named Scout to automate onboarding workflows, manage Slack coordination, and absorb business context. Dinne stated that enterprise support deployments across the industry remain heavily constrained by human forward deployed engineer availability, which led Giga to prioritize automated configuration tooling.
Co-founder Varun Vummadi noted in an interview with Y Combinator that while traditional customer support yields low deflection rates, Giga achieves 60% to 70% resolution rates in production, targeting 90% to 95% on top customer accounts. As resolution rates climb, Giga is expanding into adjoining enterprise operations, including automated compliance verification and transaction fraud checks that cross-reference external registries like real estate databases.
Hiring Across Engineering, Marketing, and Operations
Giga operates with roughly 30 employees from its office in the Dogpatch neighborhood of San Francisco. All five open positions require an entirely in-office schedule.
On the technical side, the company is hiring a Staff Backend Engineer ($180,000 - $500,000 / year) to work across the stack, spanning data pipelines, analytics, and real-time agent infrastructure. The role uses Python, Django, AWS, Modal, and Kubernetes to power end-to-end agent execution. Working alongside senior staff, the open Software Engineer I / II - San Francisco ($150,000 - $250,000 / year) role focuses on agent infrastructure, log visualization through the Activity Stream, dynamic knowledge systems, agent memory, and features for the internal AI assistant, Atlas.
To translate these infrastructure capabilities into enterprise pipelines, Giga is searching for a Head of Product Marketing/Founding Growth Marketing ($150,000 - $325,000 / year). This hire will build and lead the product marketing team, collaborate with product and sales leadership on vertical go-to-market strategies, and construct product narratives explaining foundation models, inference infrastructure, and the agentic runtime layer to enterprise buyers.
To manage company growth, Giga is recruiting two internal operations leaders. The Senior Technical Recruiter ($150,000 - $220,000 / year) will manage full-cycle hiring across engineering, go-to-market, and operations, handling sourcing through Day-1 onboarding directly alongside founders. Simultaneously, the company is bringing on an HR Generalist / People Operations ($140,000 - $185,000 / year) as its first dedicated HR professional. The position will manage core human resources operations, employee lifecycles, benefits partnerships, Rippling administration, and compliance with California employment law and in-person workplace policies.
Open Roles at Giga
| Role | Location | Work Mode | Salary |
|---|---|---|---|
| Staff Backend Engineer | San Francisco, CA, US | Onsite | $180,000 – $500,000 |
| Software Engineer I / II - San Francisco | San Francisco | Onsite | $150,000 – $250,000 |
| Head of Product Marketing/Founding Growth Marketing | San Francisco | Onsite | $150,000 – $325,000 |
| Senior Technical Recruiter | San Francisco, CA, US | Onsite | $150,000 – $220,000 |
| HR Generalist / People Operations | San Francisco | Onsite | $140,000 – $185,000 |
