Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads cybersecurity solutions engineering for government and education customers across managed security, network monitoring, cloud security, and related services. Provides technical discovery, solution design, demonstrations, proofs of concept, onboarding, deployment guidance, escalations, and post-sales support. Partners with sales and technical account teams, mentors engineers, develops enablement materials, informs product strategy, identifies expansion opportunities, and manages customer activity in Salesforce.

Manages a financial planning and analytics team supporting hospital executives and departments with business plans, forecasts, budgets, proformas, variance analyses, statistical reporting, and decision support. Oversees data validation, metrics, budget cycles, system integration, onboarding, reporting platforms, and continuous improvement initiatives. Partners with executive leadership, accounting, IT, Epic, Strategic Analytics, and Strata teams while guiding complex analyses and special projects.

Leads enterprise software sales across a SLED territory, acquiring new logos and managing the full sales cycle from prospecting through contract close. Builds relationships with C-level business and IT executives, qualifies technical and business requirements, presents ROI and TCO value, negotiates contracts, and achieves territory quotas. Develops regional sales strategies and partners with system integrators, channel partners, and alliances to expand new and existing revenue.

Lead reporting and application-integration architecture across Power BI, PBIRS, Power BI Embedded, and Crystal Reports. Build and optimize paginated reports, SQL queries, and stored procedures; troubleshoot app-to-report integrations; support Python data tooling; automate report delivery; implement monitoring, quality checks, anomaly detection, SLAs, and performance benchmarking.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake. Architect data foundations to power AI and LLM-enabled workflows, operationalize core SaaS metrics, and build reusable data assets for analytics and activation. Partner cross-functionally to embed analytics into workflows and ensure scalable, secure architecture.

Lead end-to-end enterprise technology and cloud implementations, managing scope, schedules, budgets, resources, risks, dependencies, and multiple workstreams. Serve as the primary client-facing liaison while coordinating architects, consultants, developers, integration teams, QA, and global resources. Facilitate governance and executive communications, resolve delivery roadblocks, manage scope changes and project financials, and ensure quality, accountability, and client satisfaction.

Secure Agora’s applications, APIs, cloud infrastructure, Kubernetes workloads, deployment pipelines, and blockchain-related systems. Responsibilities include threat modeling, architecture and code reviews, security tooling administration, detection engineering, monitoring, incident response, vulnerability management, penetration-test coordination, security automation, and cross-functional remediation. The role partners closely with Engineering, Product, Infrastructure, Compliance, Operations, and the SOC to improve controls, telemetry, response readiness, and security risk visibility.

Build target account and contact lists, execute personalized outbound campaigns, maintain CRM data quality, support marketing collateral and events, and track GTM funnel metrics. The intern will work directly with the CEO and COO, manage weekly reporting, route qualified leads, and use AI-assisted tools for research, prospecting, data cleanup, and analysis in a remote, part-time role.

Hunt and close new enterprise accounts for IT Asset Disposition and lifecycle services by building executive relationships, managing complex sales cycles, delivering executive presentations, responding to RFPs, and collaborating cross-functionally to exceed revenue targets.

Design and maintain scalable dbt data models and ELT pipelines in Snowflake; architect reusable data assets, governance, and SaaS metrics; build AI-enabled data foundations and LLM workflows; integrate analytics into operational tools and partner cross-functionally to productionize AI-driven use cases.