• Develop AWS Lambda functions, APIs, and web applications to support business operations. • Integrate third-party SaaS platforms into business workflows. • Manage cloud infrastructure using Pulumi. • Build and maintain ELT pipelines to integrate and transform data across platforms. • Support Tableau dashboards and ensure data quality for business-critical reporting. • Design and implement AI-powered automation to improve operational efficiency. • Work with product managers and business stakeholders to understand requirements and deliver solutions. • Participate in code review and maintain readable, well-documented code.

• Contribute meaningfully to our development lifecycle. • Work on real-world client projects and internal tools. • Be mentored by experienced engineers. • Work with a modern tech stack including Node.js/Python (backend), React/Next.js (frontend), and major cloud platforms (AWS/GCP/Azure).

• Lead the design and development of scalable, high-performance on-premises and Cloud software systems. • Define the overall structure of systems, set technical standards, and guide engineering teams to implement best practices. • Ensure seamless integration of applications and data systems. • Develop architectural documentation, diagrams, and technical specifications for application frameworks and data platforms. • Provide expert-level guidance on Azure services, including App Services, Azure Functions, Azure SQL, Cosmos DB, Azure Data Factory, Synapse Analytics, and Azure Storage. • Define and enforce architecture standards, best practices, and governance models across projects. • Collaborate with business stakeholders to align architecture with strategic objectives and ensure systems support scalability, compliance, and maintainability. • Evaluate emerging technologies and tools for potential adoption to improve performance, scalability, or cost effectiveness. • Provide technical leadership and mentorship to software developers and engineers

• Build AI‑first automation across the full customer journey to eliminate manual work in prospecting, deal execution, customer onboarding, customer adoption and renewals • Systematize and automate GTM workflows by designing and implementing scalable processes for enrichment, scoring, routing and outreach across the customer journey • Accelerate our pipeline generation through differentiated and innovative scaled outreach • Set up and run data-driven GTM experiments, track impact and scale what works • Leverage Glean at Glean and continually drive new ways for our GTM organization to be more and more AI-first across all internal and external processes • Identify areas of opportunity for AI tooling • Partner across Sales, Marketing, Post-Sales and Product to identify areas of leverage, run experiments, and scale successful initiatives