Top Tech Jobs & Startup Jobs

Build and own large-scale evaluation pipelines and observability infrastructure to measure and improve AI assistant and agent quality. Design scalable, secure, cost-efficient distributed systems for evals, trace processing, telemetry, dashboards, and integration with ML and product workflows.

Build end-to-end product experiences for enterprise AI agents: authoring, evaluation, feedback/self-improvement loops, deployment, guardrails, and scalable, reliable agent operation across frontend and backend systems.

Senior L3 IT Engineer owning identity, endpoint, and infrastructure platforms (Okta, Google Workspace, Kandji). Resolve escalations, perform root-cause analysis, automate provisioning/lifecycle workflows, maintain compliance (ISO27001/SOC2), mentor L1/L2, and coordinate cross-functional IT operations and vendor escalations.

As a Software Engineer at Glean, you will develop and enhance REST APIs, SDKs, and client libraries, ensuring optimal developer experience and integration across tools. You will focus on API design, security, documentation, and customer feedback to improve the platform.

Lead and mentor an engineering team to design, build, and operate scalable, reliable AI-first platform capabilities. Drive technical vision, architecture for distributed systems, collaborate with cross-functional teams to define product requirements, prioritize delivery, and champion engineering best practices and operational excellence.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Lead global growth marketing across demand generation, digital, ABM, field, and partner marketing. Own pipeline, revenue, and ARR growth; set GTM strategy, allocate investment, measure and optimize performance, coach teams, and embed AI into marketing operations. Partner with Sales, Product, RevOps, and executives to scale predictable pipeline and conversion.

Build and improve automated systems and IaC for customer cloud account/project bootstrapping, authentication wiring, proxy/private networking, and deployment orchestration across AWS and GCP. Enable complex scenarios (BYO-VPC, customer-managed keys, airgapped and custom-region deployments) and collaborate with Platform, Security, Product, and customer teams to increase reliability and reduce manual setup.

Build and operate Kubernetes-based runtime and compute platform for AI/search workloads across multi-cloud environments. Improve reliability, latency, cost, autoscaling, and multitenancy; implement infrastructure-as-code, observability, SLOs, and guardrails; collaborate with product and platform teams; participate in on-call and incident response; drive technical direction for runtime infrastructure.

You will build a search and assistant product, improve personalization, train models, and write robust code while mentoring junior engineers.