Top Tech Jobs & Startup Jobs in Los Angeles, CA

Design, build, and maintain AI-powered applications and services focused on agentic AI and LLM workflows. Work includes model training, fine-tuning, evaluation, serving, data pipelines, testing, cloud deployment (AWS preferred), and collaborating with cross-functional teams to productionize scalable, secure, and performant AI solutions.

Sell Nelnet Business Services products to retain, re-establish, and acquire customers through consultative outreach. Cold call, up-sell, generate qualified leads, create proposals, present via web/in-person, use Salesforce to track opportunities, forecast and execute sales plans to meet targets.

Player-coach product leader who owns a core area of the Horizon platform end-to-end, ships AI-enabled, data-driven features, mentors a small PM team, defines strategy and roadmap, coordinates cross-functional launches, and ensures PCI-compliant payment solutions for higher education customers.

Lead strategy, roadmap, and execution for a core Horizon product workstream. Translate college, student, and payer insights into prioritized requirements, define AI applications, track success metrics, and partner with engineering, design, compliance, and GTM teams to deliver PCI Level 1–compliant, scalable payment experiences for higher education.

Design and develop eLearning, instructor-led, and blended learning using adult-learning models (ADDIE/SAM). Build modules in Articulate Storyline/Rise, collaborate with SMEs, create assessments, apply UDL/WCAG 2.1 accessibility, use AI for content curation, and manage project scope and review cycles to meet organizational learning goals.

Lead People Systems operations by analyzing, designing, and improving end-to-end HR processes. Configure and maintain HRIS (HiBob), ensure data accuracy, support employee lifecycle events, partner cross-functionally, drive automation, and enhance employee experience through scalable processes.

Design and build scalable frontend features and reusable UI components using React and TypeScript. Collaborate with PMs, designers, and backend engineers on architecture, state management, API integration, performance, accessibility, and testing. Drive best practices for CI/CD, code quality, documentation, planning, and user experience.

Operate and scale the Continuous Threat Exposure Management (CTEM) platform: manage integrations, data ingestion and normalization, dashboards, RBAC and automation; correlate findings into exposure intelligence; build workflows and reporting; drive adoption and remediation orchestration across security and engineering teams.

Identify and prioritize cloud exposure risks across AWS, Azure, and GCP by correlating vulnerability and posture signals, mapping attack paths (IAM, control planes, data access), providing remediation guidance, validating fixes with platform teams, and using scripting and telemetry to improve prioritization and reduce exploitable cloud exposures.

Identify, analyze, and prioritize exploitable infrastructure exposures across servers, virtualization, containers, and Kubernetes. Correlate telemetry to map attack paths, produce remediation guidance, validate fixes with platform teams, and accelerate mitigation using scripting and AI‑assisted analysis.

End-to-end full-stack platform engineer operating AI agent fleets to deliver a multi-tenant B2B platform. Own cloud infra, backend services, React frontends, Postgres/graph data, and deep SAP/ERP integrations. Build automation, verification tooling, runbooks, and adversarial validation to ship coherent, production-verified changes across repositories.

Lead outbound sourcing for cleared IT roles across DoD/Intel programs: build search strategies, generate pipelines, engage passive candidates using niche platforms, track sourcing metrics, and partner with hiring managers and capture teams to scale hiring and pre-award talent efforts.

Lead end-to-end UX for web and mobile products: create wireframes, prototypes, and high-fidelity designs; run user research and usability testing; maintain design systems; use data to drive decisions; collaborate with PMs and developers; and mentor junior designers to improve product experiences.

The Principal Applied AI Engineer will lead the design of AI systems for finance, focusing on predictive modeling, intelligent automation, and software engineering best practices. They will oversee AI initiatives, mentor technical teams, and ensure compliance with financial standards and practices.