Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads competitive and market intelligence for AI, CX, CCaaS, and WEM markets. Analyzes competitor strategy, pricing, partnerships, win/loss data, customer insights, and market shifts to produce recommendations for Product, Marketing, and Sales. Creates battlecards, competitive plays, briefings, and enablement materials, while using AI tools to accelerate research and synthesis. Measures intelligence impact on deals and supports strategic decisions across the organization.

Develop and maintain global demo web applications, fictional customer sites, Genesys Cloud demonstrations, and end-to-end API integrations. Manage AWS infrastructure, DevOps automation, CI/CD, infrastructure as code, monitoring, and cost optimization. Integrate AI and LLM technologies into workflows and demos. Troubleshoot escalated environment issues and collaborate with Sales Engineering, Product, Engineering, Marketing, and Partners to deliver reliable, compelling demonstrations.

Designs, develops, tests, and delivers customized digital bots, generative AI bots, and agentic virtual agents for enterprise customers. Responsibilities include bot-flow architecture, routing application development, integrations, customer workshops, effort estimation, Agile leadership, testing, UAT and QA support, technical consulting, solution demonstrations, training, knowledge transfer, and leading delivery. The role requires extensive CCaaS, bot, webhook, IVR, speech recognition, and customer-facing consulting experience.

Build AI-assisted UX workflows, prototypes, and integrations that improve design operations. Translate technical capabilities into practical guidance for designers and researchers, document effective AI practices, connect tools through APIs and MCPs, and determine when automation is appropriate. Partner with Design Systems, Product, Engineering, and UX teams to reduce manual work and scale repeatable design practices.

The Strategic Finance Manager will lead financial planning, budgeting, renewal forecasting, and customer retention analysis. They will translate customer and financial data into executive insights, identify risks and opportunities, develop renewal metric governance, and support resource allocation. The role partners with Finance, Renewal Management, Customer Success, Data Science, Operations, and go-to-market teams while applying AI and automation to improve forecasting, reporting, and analytical efficiency.

Own enterprise sales strategy, pipeline, customer relationships, and revenue growth for large, complex accounts. Develop new business and expand strategic customers by selling AI-powered CCaaS, cloud, automation, and experience orchestration solutions. Lead multimillion-dollar, multi-stakeholder sales cycles, engage executive decision-makers, apply MEDDPICC, build business cases, and coordinate internal specialists, partners, and executives to achieve commercial outcomes.

Drive revenue growth across an assigned commercial territory by hunting and closing new logos, managing complex enterprise sales cycles, building qualified pipeline, forecasting accurately, and exceeding quota. The role requires developing customer relationships, understanding business needs, presenting solutions, negotiating with executives, and closing large cloud or SaaS deals of $400K+ annual contract value.

Designs, develops, tests, deploys, and supports customized digital and voice bots, generative AI bots, and agentic virtual agents. Leads customer workshops, bot-flow architecture, integrations, routing applications, testing, UAT, delivery, knowledge transfer, and technical consulting. Partners with product owners, Scrum Masters, customers, vendors, and technical teams while leading SS&AI initiatives and providing estimates, training, and feedback on Genesys products and APIs.

Lead enterprise AI transformation as a strategic advisor and architect: define AI strategy, design scalable Agentic AI and orchestration solutions, integrate LLMs and enterprise systems, guide customers from experimentation to production, ensure governance and responsible AI, drive KPI-based value realization and continuous optimization across large organizations.

Designs and deploys production-ready AI solutions for strategic enterprise customers using Genesys Cloud, agentic AI, conversational AI, automation, data, and integrations. Leads discovery, architecture, prototyping, deployment, optimization, governance, and value realization. Advises executive stakeholders, connects technical decisions to business KPIs, develops reference architectures, guides responsible AI practices, and builds customer capability across complex enterprise environments.