Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads the design, development, and optimization of enterprise Retrieval-Augmented Generation platforms. Responsibilities include building retrieval architectures, ingestion and indexing frameworks, vector search, semantic retrieval, LLM integrations, scalable APIs, evaluation frameworks, governance controls, monitoring, troubleshooting, and performance optimization. The role provides technical leadership, mentors engineers, evaluates emerging technologies, and supports enterprise AI strategy and deployments.

Leads the sales organization by developing strategic plans, growing revenue and market share, managing geographically dispersed teams, cultivating enterprise client relationships, optimizing sales processes, monitoring KPIs, overseeing budgets, and representing the company with executive stakeholders and industry partners.

Oversee and optimize infrastructure supporting AI and machine learning platforms, including servers, cloud environments, compute resources, GPU and CPU allocation, security controls, monitoring, incident response, automation, and scalability. Collaborate with AI engineers, data scientists, and infrastructure teams; troubleshoot issues, perform root cause analysis, maintain documentation, evaluate emerging technologies, and mentor junior administrators.

Design, implement, and optimize AI-powered workflow automation solutions. Analyze business processes, document current and future states, gather requirements, integrate automation tools, support testing and deployment, monitor performance, and identify improvements. Collaborate with business and technical stakeholders, provide training and troubleshooting support, promote automation best practices, and contribute to digital transformation and innovation initiatives.

Manage and optimize infrastructure supporting AI and machine learning systems, including GPU/CPU clusters, cloud environments, LLMs, data pipelines, and model deployments. Responsibilities include system monitoring, security, access management, automation, scripting, CI/CD support, troubleshooting, documentation, and performance optimization. The role collaborates with developers, data scientists, and prompt engineers to maintain reliable, scalable AI platforms.

Identifies business opportunities for AI and automation, gathers and documents requirements, develops business cases, supports solution design and delivery, facilitates stakeholder collaboration, assists with testing and change management, and tracks project outcomes, reporting, and benefits realization.

Actively manage a diversified multi-asset portfolio across equities, fixed income, and options. Design, test, and implement quantitative and discretionary trading strategies; monitor market and macroeconomic conditions; conduct modeling, backtesting, and performance attribution; manage allocation, liquidity, exposure, execution quality, and risk. Prepare investment reports and collaborate with analysts, traders, and senior stakeholders to refine strategies.

Oversee daily BPO operations, service delivery, SLAs, performance metrics, workforce efficiency, budgets, compliance, and client alignment. Lead and develop managers and supervisors, implement process improvements, drive employee engagement, and manage transformation initiatives. The role requires extensive BPO operations leadership, strong analytical and decision-making abilities, experience managing large teams, and proficiency with workforce management, reporting, CRM, and call center technologies.

Own product features from research and UX design through full-stack production delivery. Design user flows, wireframes, and reusable components while building responsive front-end experiences, APIs, back-end logic, and database solutions. Improve hiring marketplace workflows, dashboards, scheduling, messaging, and integrations. Use user feedback, analytics, funnel metrics, and A/B testing to guide iteration while ensuring performance, accessibility, and security.

Leads end-to-end mergers and acquisitions execution, including strategic assessments, market research, financial modeling, valuation, due diligence, deal closing, integration and separation planning, executive communications, and post-close value realization. Partners with business leaders, finance, legal, and operations teams to execute complex transactions and support corporate growth.