Top Tech Jobs & Startup Jobs in Los Angeles, CA

Remote Sales Engineer responsible for technical discovery, product presentations, demonstrations, proof-of-concepts, workshops, and pre-sales training. The role partners with Account Executives, advises customers on SAP, cloud modernization, AI, data quality, and data strategy solutions, and develops custom solutions using platforms such as Databricks, Snowflake, AWS, Azure, and GCP. Requires customer-facing relationship management, generative AI knowledge, cloud-native experience, and approximately 25–30% travel.

Remote Sales Engineer responsible for technical discovery, product demonstrations, proof of concepts, workshops, solution scoping, and presales training. The role partners with Account Executives and advises customers on Precisely solutions, SAP, cloud modernization, AI initiatives, data strategies, and SaaS architecture. Candidates will use platforms such as Databricks, Snowflake, AWS, Azure, and GCP, while presenting to technical, operational, and executive stakeholders. Travel is approximately 25%–30%.

Leads the strategy, launch, governance, and continuous improvement of premium support programs. Establishes scalable frameworks, KPIs, roadmaps, and reporting; drives AI, automation, and self-service adoption; and coordinates execution across Support, Product, Sales, Marketing, and Customer Success. The role supports enterprise customer engagements, escalations, sales enablement, pricing validation, renewals, upsell motions, and executive communications while improving customer value, operational efficiency, margins, and program growth.

Lead FedRAMP certification and compliance programs for cloud and SaaS offerings from planning through continuous monitoring. Coordinate product, security, cloud, engineering, customers, and other stakeholders; manage scope, resources, risks, milestones, deliverables, and action items. Provide technical guidance on federal security requirements, compliance reporting, and solution quality while using AI tools to improve documentation, processes, and regulatory control validation.

Own key FP&A processes including financial reporting, cash forecasting, budgeting, long-range planning, financial modeling, and ad hoc analysis. Partner with cross-functional teams and executives to provide insights, improve processes, automate workflows, and align operational plans with financial goals. The role requires advanced Excel skills and use of AI productivity tools such as Claude and Microsoft Copilot.

Own FP&A processes supporting Sales and Go-To-Market leadership, including financial reporting, forecasting, pipeline and bookings analysis, sales capacity modeling, quota and compensation planning, variance analysis, and strategic projects. Develop financial models and improve process automation using Excel, Workday Adaptive Planning, CRM data, and AI productivity tools. Partner with executives to translate financial data into actionable business insights.

Design, architect, develop, test, and support scalable full-stack applications for a data catalog platform. Own features end to end, contribute to technical strategy and roadmaps, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Build multi-tenant systems supporting high data volumes and near-real-time analytics while applying AI-assisted development practices.

Drive enterprise software sales across named Federal, Department of Defense, and aerospace and defense accounts. Develop territory plans, generate pipeline, close new business, expand existing accounts, build executive relationships, manage complex sales cycles, collaborate with marketing and sales engineering, leverage partners, and maintain forecasts in Salesforce CRM. The role is fully remote in the Mid-Atlantic US and requires approximately 25% travel.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Design, architect, develop, test, and support scalable full-stack applications for a high-volume, multi-tenant data platform. Own features from design through delivery, contribute to technical strategy and roadmap development, ensure operational excellence, collaborate across distributed teams, and mentor engineers. Apply cloud-native technologies and AI-assisted development practices while supporting near-real-time analytics and reliable production operations.