Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own outbound enterprise prospecting and account development for Ema’s AI products. Identify and engage senior stakeholders at large organizations, develop account-entry strategies, multi-thread buying committees, qualify prospects, and book sales-qualified leads through email, calls, and LinkedIn. Partner with Account Executives on handoffs and pipeline conversion, track business metrics, and help build scalable outbound playbooks, messaging, and processes.

Own corporate IT across identity, devices, SaaS administration, compliance, and employee lifecycle operations for more than 200 devices. Automate onboarding, offboarding, access reviews, license reclamation, endpoint management, and audit evidence generation using Python, Bash, APIs, Okta Workflows, and AI tools. Administer Okta, Google Workspace, Slack, Atlassian, and Kandji while providing Tier 1/2 support, maintaining documentation, and partnering with Finance, HR, and InfoSec.

Build and manage cloud infrastructure for an agentic AI platform. Responsibilities include maintaining Kubernetes clusters, automating provisioning with Terraform and Ansible, implementing CI/CD pipelines, building observability systems, and ensuring security, scalability, performance, and reliability for multi-tenant SaaS architecture.

Build and lead the US revenue operations function across direct enterprise and partner-led sales motions. Own forecasting, pipeline management, partner attribution, territories, quotas, compensation, CRM and GTM systems, deal desk processes, lead-to-cash operations, data governance, and executive reporting. Establish scalable processes and infrastructure for revenue visibility, channel operations, commercial approvals, and sales performance.

The Enterprise Sales Executive is responsible for lead generation, client engagement, pipeline management, and closing enterprise contracts in the AI sector.

The Solution Architect collaborates with sales to understand customer needs, design technical solutions, and ensure successful deployment and integration of AI solutions.