Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads enterprise software engineering, solution architecture, data and reporting strategy for business applications supporting Human Capital, Finance, Supply Chain, and workforce management. Establishes roadmaps, engineering standards, governance, architecture, quality practices, and secure reporting capabilities. Directs cross-functional delivery, prioritization, lifecycle improvements, stakeholder alignment, and organizational development while hiring and managing engineering leaders and teams.

Manages sales growth, retention, and client satisfaction for existing higher education customers. Sells software, services, and partner products; develops pipelines and campaigns; manages executive relationships, proposals, negotiations, upgrades, implementations, cloud migrations, and SSO projects. Coordinates project plans, milestones, resources, budgets, timelines, and post-sale support while collaborating with internal teams and applying analytics and AI-enabled tools responsibly.

The Senior Accountant manages month-end and year-end close, journal entries, accruals, balance sheet reconciliations, revenue recognition under U.S. GAAP and ASC 606, financial reporting, and consolidated and international statutory audits. The role supports entities in Australia, New Zealand, and Hong Kong, partners with global Finance teams, maintains accounting controls, investigates discrepancies, and improves processes using ERP and cloud accounting systems. An active CPA and multinational accounting experience are required.

Leads Magnit’s migration from on-premises infrastructure to AWS-based cloud platforms and builds an internal developer platform using Kubernetes, GitOps, CI/CD, and infrastructure as code. Oversees cloud foundations, reliability, observability, security, networking, FinOps, vendor management, and data center exit activities. Establishes SRE practices, drives platform adoption and developer experience, and leads global cloud, platform, SRE, and network engineering teams while partnering with executives and cross-functional organizations.

Design clear, accessible, responsive software experiences from user research and workflow analysis through implementation and review. Create flows, prototypes, interfaces, content, and edge-case behaviors in Figma; collaborate with product, engineering, and technology leadership; work within an existing design system; explain tradeoffs; review shipped implementations; and learn from real user behavior. Candidates may be junior through senior, with increasing ownership based on experience.

Lead equity fundraising from Series B onward, build investor pipelines, negotiate term sheets, structure hybrid and non-dilutive capital, and develop strategic partnerships with industrial, logistics, compute, AI, and supply-chain companies. Own executive relationships, connect investments to commercial agreements, support public-exit readiness, and report pipeline and deal progress to senior leadership and the board.

Designs and optimizes scalable data platforms, architectures, and production pipelines supporting AI and machine learning. Responsibilities include Databricks Lakehouse development, batch and real-time processing, data governance, security, monitoring, performance tuning, infrastructure planning, and collaboration with DevOps, MLOps, and cross-functional teams. The role serves as the AI team’s data engineering subject matter expert and ensures reliable, secure, cost-effective data solutions.

Leads client projects by creating plans, setting milestones, allocating resources, delegating tasks, coordinating internal teams, and managing client communications. The role leads weekly client meetings, aligns projects with executive or board goals, performs quality control, adjusts schedules, and motivates team members to meet deadlines. It also requires frequent email and project-system monitoring, strong communication, problem-solving, organization, and independent initiative.

Build and maintain AI services for a sovereign data lakehouse, including MCP servers, model gateways, SQL AI functions, and Spark troubleshooting agents. Develop AI platform integrations, agent frameworks, evaluation harnesses, and Kubernetes deployments. Collaborate with customer engineering teams, troubleshoot integrations, contribute to architecture, and produce tests, documentation, and release notes. The role requires production experience with LLM systems, distributed systems, and software engineering, primarily using Python or Go.

Manage sales of power-system testing products and services across the Central East territory. Responsibilities include managing manufacturers’ representatives, forecasting, business development, key-account relationships, quotations, CRM activity, promotional events, product demonstrations, customer training, and sales reporting. The role requires power systems and testing expertise, direct sales experience, technical presentations, and domestic travel up to 50%, with possible international travel.