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Partner with Product, Engineering, GTM, and leadership to model product investments, pricing, unit economics, and AI infrastructure costs. Build financial models, cost-per-query LLM forecasts, dashboards, KPIs, and support pricing, customer profitability, planning, and reporting automation.

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

Drive new business and growth within major enterprise accounts in India, develop sales strategies, and consistently deliver revenue targets while collaborating with internal partners.

Own GTM-facing product enablement: translate releases into field guidance, build scalable enablement programs, design active practice sessions, partner cross-functionally, embed product learning into onboarding/certifications, and build AI-first launch-to-enable loops and AI-powered, just-in-time enablement surfaces to drive adoption and revenue.

Lead GTM-facing product enablement: translate releases and specs into field-ready guidance, design AI-first enablement systems, build scalable trainings and demos, partner across Product, PMM, Sales, and Technical Enablement to drive adoption and revenue.

Lead GTM-facing product enablement by translating releases and technical docs into field-ready guidance, trainings, demos, and role-based workflows. Build scalable, AI-first enablement systems and partner across Product, Product Marketing, Sales, and Technical Enablement to drive adoption and revenue impact.

Lead GTM-facing product enablement: translate releases into field guidance, build scalable AI-first enablement programs, design hands-on trainings, partner across Product, PMM, Sales, and Technical Enablement, and deliver agent-driven, just-in-time learning to drive adoption and revenue.

Lead large-scale infrastructure programs across compute, networking, storage, orchestration, and AI workloads. Drive scalability, reliability, cost efficiency, deployment automation, observability, capacity planning, and cross-team delivery of ML/LLM infrastructure initiatives while communicating risks and progress to leadership.

Lead large-scale infrastructure programs across compute, network, storage, orchestration, and AI workloads. Coordinate cross-functional teams (Infra, SRE, AI/ML) to improve scalability, reliability, cost efficiency, deployment automation, observability, and ML/LLM infrastructure. Define standards, track metrics, manage risks, and deliver multi-quarter initiatives that optimize platform performance and developer velocity.

Own India HR operations including compliance, payroll, benefits, audits, and employee lifecycle. Build scalable SOPs, process maps, controls, and vendor partnerships. Improve audit readiness and operational quality, partner with HRBPs, Finance, Legal, and vendors, and help define the long-term India HR operations model.