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Build and maintain security systems for an AI platform handling sensitive customer interactions. Responsibilities include application, infrastructure, and cloud security; access controls and authorization; audit logging; vulnerability scanning; dependency auditing; secrets management; automated detection; and security tooling. The role writes production code, partners with backend and infrastructure engineers, and helps address AI-agent risks such as prompt injection and data leakage.

Owns day-to-day operations for Giga’s India entity, including payroll, statutory compliance, accounting coordination, vendor contracts, recruiting, onboarding, employee experience, revenue operations, CRM accuracy, forecasting, billing, and collections. The role builds scalable processes, documentation, and automation while partnering with San Francisco leadership and external legal, tax, and payroll specialists.

Own consumption, retention, and expansion across approximately 10 enterprise customers using Giga’s AI platform. Build account ramp plans, drive customers toward usage commitments, manage production escalations, coordinate engineers and product teams, lead executive value reviews, identify expansion opportunities, and make usage visible through Salesforce. As the first Customer Success hire, establish the function’s playbook and operating model.

Serve as the CEO’s strategic operator and thought partner, managing executive-office operations, planning rhythms, OKRs, dashboards, board preparation, fundraising support, stakeholder relationships, and cross-functional initiatives. The role improves CEO leverage, drives accountability, synthesizes business performance, and ensures strategic priorities progress across Engineering, Go-to-Market, and Operations.

Lead and own the most complex enterprise deployments of real-time AI agents end-to-end. Architect systems, build integrations and tooling, mentor FDE engineers, debug production incidents (telephony, latency, integrations), and translate deployment learnings into product improvements while interfacing directly with customer engineering leadership.

The Senior QA Lead will oversee quality assurance for AI agents, manage a distributed QA team, create test strategies, and ensure thorough validation of software before release.

The role involves leading customer engagements, building AI agents, managing projects, mentoring engineers, and collaborating with product teams.

As the Regional Vice President of Sales, you will lead a team of Enterprise Sales Directors, managing sales strategies, developing relationships with customers, and driving revenue growth in the AI and enterprise software market.

The Sales Director will expand relationships with enterprise accounts, drive complex sales cycles, and collaborate with internal teams to customize solutions.

As a Staff Backend Engineer, you'll lead complex projects, make critical architectural decisions, and mentor other engineers while maintaining high engineering quality across systems.