Top Tech Jobs & Startup Jobs in Los Angeles, CA

Reposted 2 Days AgoSaved
In-Office or Remote
4 Locations
189K-332K Annually
Senior level
189K-332K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Lead the Sales Transformation team focusing on AI strategy, workflow management, CRM migration, and sales technology optimization. Drive change management and stakeholder engagement while ensuring effective team leadership across multiple initiatives.
Top Skills: AISalesforce
3 Days AgoSaved
In-Office or Remote
6 Locations
87K-152K Annually
Senior level
87K-152K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Lead and develop a regional BDR team to generate and accelerate enterprise pipeline across the West region. Own pipeline strategy, coaching, enablement, forecasting, and conversion improvements. Partner with Sales and Marketing on account-based and regional GTM, implement data-driven prospecting using CRM and sales engagement tools, and build repeatable playbooks and talent pipelines into sales and technical roles.
Top Skills: Ai-Enabled Prospecting ToolsCrm PlatformsSales Engagement ToolsSalesforceSalesloftTableau
5 Days AgoSaved
In-Office or Remote
7 Locations
105K-185K Annually
Senior level
105K-185K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Lead strategic finance for One Americas sales: financial and workforce planning, forecasting automation with AI tools, variance analysis, management reporting, and partnering with sales, HR and corporate FP&A to guide investment decisions.
Top Skills: Chatgpt EnterpriseClaude CoworkExcelOracle Epm CloudPower PivotPower QueryPythonSalesforceSQLTableauWorkday Adaptive
5 Days AgoSaved
Remote
2 Locations
112K-196K Annually
Senior level
112K-196K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Senior presales AI architect who designs and deploys production-ready AI solutions for contact center and CX use cases. Responsibilities include RAG and knowledge architecture design, contextual AI and orchestration, evaluation and observability frameworks, partner enablement and labs, technical escalation, demos and co-selling, integrations via REST APIs and MCP/A2A, and translating technical capabilities into business value while driving partner ecosystem scalability and product feedback.
Top Skills: A2AAgentic Virtual AgentsAWSEmbeddingsEvent-Driven ArchitecturesGenesys AiGenesys Cloud CxGuidewireIdentity SystemsKnowledge ArchitecturesLlmsMcpMetaNlpNluPrompt EngineeringRag (Retrieval-Augmented Generation)Restful ApisSalesforceServicenow
Reposted 10 Days AgoSaved
In-Office or Remote
6 Locations
79K-139K Annually
Mid level
79K-139K Annually
Mid level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
The Senior Revenue Accountant will ensure compliance with ASC 606 for SAAS revenue, prepare journal entries, reconcile accounts, and support monthly close processes and strategic initiatives.
Top Skills: Advanced ExcelAsc 606RevproSFDCWorkday
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Reposted 12 Days AgoSaved
Remote
2 Locations
131K-230K Annually
Senior level
131K-230K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Lead and execute demand generation operations and transformation projects across marketing systems, BDR operations, and go-to-market processes. Improve workflows, data quality, lead routing, campaign execution, and pipeline progression. Partner with DG, sales, and ops teams to drive process standardization, lead-to-cash improvements, and AI-enabled GTM initiatives while maintaining operational reliability in a global, fast-paced environment.
Top Skills: AbmAi-Enabled WorkflowsCRMMarketing AutomationMartechSales Engagement
Reposted 13 Days AgoSaved
Remote
2 Locations
159K-279K Annually
Senior level
159K-279K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Lead strategy and governance for the Genesys Cloud monetization platform, ensuring usage metering, entitlement, rating, billing, auditability, and reporting. Partner with product, engineering, finance, and operations to define standards, requirements, observability, reconciliation, and controls. Drive revenue integrity, remediate monetization issues, and enable scalable monetization across products.
Top Skills: APIsBilling PlatformsCRMData PipelinesDistributed SystemsEntitlement ManagementErpEvent Processing SystemsFinancial SystemsGenesys CloudRating EnginesSaas Monetization PlatformsSox ControlsSubscription ManagementUsage Metering
Reposted 13 Days AgoSaved
Remote
3 Locations
107K-188K Annually
Senior level
107K-188K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Support administration, analysis, and governance of executive (VP+) compensation and equity programs. Perform market benchmarking, grant tracking, dilution and scenario modeling, reporting, and compliance support. Partner cross-functionally with HR, Finance, Legal, Payroll, and Stock Administration to ensure accurate processing, documentation, and stakeholder communications.
Top Skills: Excel
Reposted 14 Days AgoSaved
Remote
2 Locations
247K-434K Annually
Expert/Leader
247K-434K Annually
Expert/Leader
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
Lead product strategy for foundational capabilities of Genesys Cloud, enhancing security, scalability, automation, and user experience for enterprises. Drive platform evolution from reactive to AI-assisted management by collaborating with cross-functional teams and engaging with customers.
Top Skills: AIAPIsCi/CdCloud PlatformsMicroservicesSaaS
Reposted 16 Days AgoSaved
In-Office or Remote
28 Locations
194K-341K Annually
Senior level
194K-341K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
The Principal Applied AI Engineer will lead the design of AI systems for finance, focusing on predictive modeling, intelligent automation, and software engineering best practices. They will oversee AI initiatives, mentor technical teams, and ensure compliance with financial standards and practices.
Top Skills: AWSDockerKubernetesLlmsMl/Ai FrameworksPython
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