Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.

Own complex post-sale technical relationships from onboarding through adoption and renewal. Lead implementations, integrations, configurations, and security reviews; advise strategic customers on identity, access, device trust, and SaaS security. Partner with Customer Success and cross-functional teams to drive customer value, manage risks, support expansion, create scalable resources, and mentor team members while serving as an escalation point.

Designs enterprise and healthcare technology architectures for federal pursuits, primarily supporting the Department of Veterans Affairs. Develops proposal narratives, solution concepts, architecture diagrams, modernization roadmaps, implementation strategies, staffing estimates, and technical differentiators. Collaborates with capture, engineering, delivery, pricing, and executive teams on proposals and presentations. Applies expertise in cloud, data, APIs, interoperability, DevSecOps, cybersecurity, AI, and Generative AI while supporting responsible AI practices and federal healthcare requirements.

Design and deploy production-ready LLM pipelines and agentic workflows, automate large-scale multimodal dataset pipelines, monitor and improve agent performance, and integrate AI agents with 3D scene composition. The role also involves process documentation, incident response, and continuous improvement, with collaboration across the engine team and company founders.

Manage strategic customer relationships from onboarding through renewal, driving product adoption, retention, and measurable business outcomes. Responsibilities include platform walkthroughs, account performance monitoring, deployment and adoption strategies, risk and opportunity forecasting, renewal support, issue coordination, process documentation, and communicating customer feedback internally. The role requires data analysis, product expertise, cross-functional collaboration, and continuous improvement of customer success processes.

Lead research on recursive self-improvement for an autonomous ML research engine. Define the RSI roadmap, design agent strategies and compute allocation, learn from prior sessions, build evaluations, and compound knowledge across tasks. Conduct rigorous experiments, track frontier agentic LLM research, and ship validated improvements into production systems. The role requires hands-on Python engineering, applied ML research, production deployment experience, and technical leadership of a small research team.

Owns and optimizes the marketing technology ecosystem across multiple business indications. Leads platform implementations, integrations, testing, deployment, support, and enhancements while improving data flows, reliability, usability, and adoption. Translates commercial and business needs into technology priorities, requirements, standards, and execution plans. Partners with IT, commercial teams, analytics, vendors, and functional leaders to manage risks, simplify complex systems, and maximize the value of marketing technology investments.

Leads client engagements for nonprofit organizations, providing fundraising strategy, program reviews, board development, campaign counsel, and implementation support. Manages teams, budgets, workstreams, risks, and deliverables while maintaining client relationships and satisfaction. Supports business development, presents insights to stakeholders, develops written content, and contributes expertise through conferences and industry publications. The role requires extensive donor-facing fundraising experience in higher education and healthcare, strong communication, strategic thinking, and team leadership.

Design and lead scalable, practical learning programs for enterprise, technical, and professional audiences. Responsibilities include gathering requirements, defining outcomes, developing instructor-led materials, creating AI-enabled labs and activities, managing SMEs and vendors, enabling instructors, tailoring programs for clients, analyzing learning impact, and productizing reusable curriculum components. The role requires strong instructional design, project management, adult learning, technical education, and applied AI knowledge.

Manage revenue recognition and compliance under ASC 606 and GAAP. Review contracts and RFPs, establish standalone selling price frameworks, reconcile Oracle revenue to the General Ledger, support financial close and audits, maintain internal controls, and prepare technical accounting policies. Lead revenue process improvements, acquisition integrations, UAT for new products, risk assessments, and automation initiatives while collaborating with cross-functional teams.