GigaML Series A

Forward Deployed Engineer

San Francisco, CA On-site $130K-$300K Mid (3-5 yrs) Added Jun 30

About the role

ABOUT GIGA Giga has recently raised a $61M Series A and is working with Fortune 500 customers to deploy the next generation of customer experience - real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world's largest enterprises. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email, in high-stakes regulated environments where accuracy and compliance matter. We're at an exciting inflection point. While we've found real commercial success, our ambitions are larger: to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. The work affects millions of people every day, and our team has the autonomy to make true impact - with brilliant founders, a clear path forward, and the kind of momentum that defines generational companies. If being part of that resonates with you, we'd love to hear from you! - Voice AI startup Giga raises $61M Series A https://fortune.com/2025/11/05/voice-ai-giga-raise-61-million-customer-service-series-a/ - DoorDash and Giga Partnership https://www.linkedin.com/feed/update/urn:li:activity:7391576181009018883/ ABOUT THE ROLE We're seeking a Forward Deployed Engineer to join our San Francisco team. You'll serve as the technical interface and project leader between Giga and our customers, building and deploying sophisticated AI-driven solutions at scale. WHAT YOU’LL DO - Lead customer engagements from start to end: run discovery calls & demos, align business/technical stakeholders on milestones, oversee the deployment/maintenance of world class agents, and serve as the primary PoC who drives meetings and removes blockers. - Design & ship production-ready AI agents: work with large-scale data, write backend code, build integrations, and deploy to cloud infrastructure.

Industry

AI / Enterprise AI Operations Platform

Top skills for this role

  • Enterprise AI deployment and integration
  • 2. Voice AI and LLM-native product delivery
  • 3. Customer-facing technical problem-solving at scale

Languages

PythonTypeScript

Frameworks & tools

AI ops platformsenterprise integrationsvoice AI

AI / ML skills

LLMsinference optimizationenterprise AI deployment

Customer skills

Technical customer interface; building and deploying AI solutions at scale; enterprise integration

Domain knowledge

Enterprise operations, AI automation, voice AI, customer support AI

Travel: not specified
Equity: yes

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