Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own strategic client relationships for retail media accounts, developing paid search and display strategies, budgets, marketing calendars, performance reports, and growth recommendations. Analyze large datasets and retail media KPIs to identify opportunities, improve advertising effectiveness, and align stakeholders. Present business reviews, support product launches, coordinate with internal teams, and streamline workflows using AI tools. The role requires strong e-commerce, digital marketing, account management, analytical, communication, and presentation skills.

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.

Lead recruitment, enablement, and commercial activation of reseller channel partners (TSPs and DSPs). Build channel playbook, design pricing/incentives, co-sell with partners, track pipeline and partner health, and align cross-functional teams to drive measurable channel revenue.

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.

Manage an assigned customer portfolio by driving renewals, retention, upsells, and cross-sells. Build trusted client relationships, identify and close expansion opportunities, prepare proposals and statements of work, and maintain accurate sales pipeline reporting. Collaborate with Customer Success, Support, Product, and leadership to support the customer lifecycle while maintaining strong product and subscription-model knowledge.

Own Epoch AI’s portfolio of AI automations, including building, maintaining, prioritizing, documenting, and retiring workflows. Manage Claude in Slack, integrations, shared prompts, skills, and AI tool spending. Help researchers and operations staff adopt AI through onboarding, coaching, guidance, and infrastructure. Track automation outcomes and report on improvements. The role requires practical AI experience, product judgment, resourcefulness, teaching ability, autonomy, and alignment with Epoch’s mission.

Performs customer-facing and internal software upgrades, patches, deployments, rollback support, validation, troubleshooting, and cloud migrations. The role also maintains documentation, supports CI/CD tooling and automation, coordinates upgrade schedules, applies security patches, and collaborates with cross-functional teams. This entry-level position develops cloud release engineering skills through mentorship and hands-on work.

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.