Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead client onboarding for an AI-powered AP SaaS platform: design training programs, map and transform workflows, track adoption metrics, consult on change management, and collaborate with Product to remove user friction and ensure on-time go-lives.

Serve as the primary U.S. sales and use tax subject matter expert, conducting research, supporting compliance, guiding product taxability, managing nexus/apportionment, and partnering with Product, Engineering, Operations, and Customer Success to build scalable tax automation and documentation.

Lead and build broker-dealer and transfer agent compliance programs for US operations: create policies and controls, oversee AML and transfer-agent rules, manage filings and regulatory exams, conduct audits and risk assessments, provide training, investigate incidents, and report to executive leadership and the Board.

Lead and grow distributed database-internals engineering teams owning TimescaleDB. Set technical roadmaps, prioritize work with Product, collaborate with Platform, handle customer escalations, mentor engineers, and drive delivery of reliable, high-performance database systems.

The Enterprise Account Executive will drive revenue growth, manage relationships with insurance agencies, and oversee the sales process from prospecting to closing.

Lead product strategy and roadmap across Archive's retail resale platform. Own prioritization, drive AI-first product decisions, partner tightly with Engineering and cross-functional teams, hire and develop the product org, and deliver measurable business outcomes (GMV, supply, demand, margin).

Administer and support Oracle Engineered Systems (OPA, Exadata, ODA, ZFS), manage networking and Linux environments, troubleshoot complex infrastructure incidents, perform maintenance and upgrades, support project delivery and documentation, and improve platform resilience, automation, and monitoring while collaborating with cross-functional teams.

As an Account Executive at Teleskope, you will manage the full sales cycle for cybersecurity products, focus on customer relationships, and represent the company at industry events with significant travel expected.

The Senior ML Engineer will develop and deploy full-stack AI solutions, manage LLM integration, and collaborate closely with defense clients to enhance real-world applications in secure environments.

Build and maintain data infrastructure, integrate veterinary partner systems, develop dbt models and pipelines, provide analytics modeling, testing, reporting, and deliver actionable insights to customers and internal teams.