Location
In office (Bengaluru)
Seniority
Staff · 11+ years exp
First seen by Alion on Oct 26, 2026. Giga scores D on the Alion truth index.
Overview
Company
Impact
Profile match
Giga, formerly GigaML, is an artificial intelligence company that builds voice and chat agents for enterprise customer support. Its agents handle large volumes of phone and messaging conversations for consumer and logistics businesses, integrating with existing support tools and escalating to human staff when needed, and it is backed by venture investors. The company is headquartered in San Francisco, California, United States.
Backed by Y Combinator, Redpoint Ventures, Nexus Venture Partners
Responsibilities:
- Build, lead, and retain a high-performing engineering team in India across backend, infra, and applied AI for Giga's enterprise AI support agents.
- Own delivery for key product and platform areas: real-time orchestration, integrations, tooling, and reliability for AI agents handling millions of customer interactions.
- Drive technical design and execution for low-latency, high-availability systems that power voice/chat AI agents for large B2C enterprises (e. g., ecommerce, fintech, mobility).
- Partner with founders and US leadership on roadmap, staffing, and India expansion, acting as the primary engineering point-of-contact.
- Set and enforce engineering best practices: code quality, testing, observability, incident management, and on-call processes for production AI systems.
- Collaborate with product and customer teams to translate enterprise requirements (compliance, SLAs, security) into robust technical solutions.
- Mentor and grow senior engineers into tech leads; create a culture of ownership, speed, and high bar for talent.
- Contribute hands-on to architecture and critical code paths when needed (expected 20-40% hands-on initially).
- Establish site-level rituals: hiring pipeline, performance reviews, architecture reviews, and cross-site collaboration with US teams.
Requirements:
- 13+ years of overall experience in software engineering, with at least 4-5 years in engineering management/tech leadership roles.
- Strong experience building and operating distributed, high-scale backend systems (microservices, event-driven architecture, real-time systems, or similar).
- Proven experience leading teams delivering customer-facing or mission-critical products with strict reliability/latency requirements.
- Hands-on expertise in at least one modern backend stack (e. g., Python/Go/Java) and strong system design skills.
- Prior experience in a high-growth startup or product company; comfortable with ambiguity, rapid iteration, and 01 / 110 scaling.
- Experience working with or around ML/AI products, data platforms, or real-time decisioning systems is a strong plus.
- Excellent people leadership: hiring, performance management, coaching senior ICs, and building culture across locations.
- Strong communication and stakeholder management skills, with experience working with global teams (US/Europe).
- Background in conversational AI, customer support platforms, or contact-centre technology.
- Experience setting up or scaling a new engineering site/hub.
- Prior work with enterprise customers in regulated or high-compliance domains (e-commerce, BFSI, healthcare, telecom).
Skills
AI, Go, Java, ML, Python, backend, conversational AI, data, distributed, infrastructure, machine learning, microservices, real-time, realtime
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