Top Tech Jobs & Startup Jobs in Los Angeles, CA

5 Days AgoSaved
In-Office or Remote
CA, USA
100K-100K Annually
Senior level
100K-100K Annually
Senior level
Information Technology
Own the full mid-market sales cycle, from lead conversion and strategic prospecting through complex deal closure. Build pipelines, develop multi-stakeholder opportunities, collaborate with SDRs, partners, sales engineers, and leadership, and manage forecasts and deal reviews. The role focuses on acquiring new customers and solving business communication challenges using Dialpad’s SaaS products.
Top Skills: AICcaasDialpad Contact CenterDialpad SellDialpad TalkSaaSUcaas
12 Days AgoSaved
In-Office or Remote
CA, USA
111K-140K Annually
Senior level
111K-140K Annually
Senior level
Information Technology
Own end-to-end U.S. and international payroll processing, reconciliations, payroll journal entries, and general ledger accounting. Manage benefits deductions, time and attendance data, payroll taxes, audits, year-end reporting, and employee payroll inquiries. Partner with vendors, People Operations, Finance, Treasury, and other teams to resolve issues, support system integrations, ensure regulatory compliance, and improve payroll processes across multiple countries.
Top Skills: Google SheetsHrisExcelMicrosoft WordNetSuiteWorkday
Reposted 13 Days AgoSaved
Remote
US
Entry level
Entry level
Information Technology
Dialership is a virtual, unpaid summer program (June–August 2027) where participants attend two weekly sessions to learn about business functions (sales, engineering, marketing, product, AI, etc.), network with leaders, get resume/LinkedIn feedback, and receive a certificate upon completion. No work projects are assigned; participants commit to 2 hours/week and engage in interactive sessions.
Reposted 14 Days AgoSaved
In-Office or Remote
CA, USA
225K-252K Annually
Senior level
225K-252K Annually
Senior level
Information Technology
Lead architecture and delivery of Dialpad's agentic AI platform, building scalable multi-agent orchestration, memory and retrieval systems, real-time voice reasoning, inference optimization, safety/observability, and production integrations while mentoring engineers and partnering with product and research.
Top Skills: Advanced Retrieval SystemsApi Tool Execution FrameworksAws Agent EcosystemCrewaiFine-TuningGoogle Agent EcosystemHuman-In-The-Loop SystemsLangchainLanggraphLlm Inference OptimizationLlmsMemory ArchitecturesStreaming InfrastructureVoice/Conversational Ai
Reposted 14 Days AgoSaved
In-Office or Remote
CA, USA
176K-209K Annually
Expert/Leader
176K-209K Annually
Expert/Leader
Information Technology
Lead architecture and delivery of Dialpad's agentic AI platform: build scalable multi-agent orchestration, real-time conversational and voice reasoning, retrieval and memory systems, inference/fine-tuning pipelines, observability and safety frameworks, and mentor engineering teams while partnering cross-functionally to productionize autonomous workflow execution.
Top Skills: Ai Safety And Policy GuardrailsApi Tool Execution FrameworksAws Agent EcosystemCrewaiFine-TuningGoogle Agent EcosystemLangchainLanggraphLlm Inference OptimizationMemory ArchitecturesObservability And Evaluation FrameworksRetrieval SystemsStreaming InfrastructureVoice Conversational Ai
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Reposted 14 Days AgoSaved
In-Office or Remote
CA, USA
250K-274K Annually
Senior level
250K-274K Annually
Senior level
Information Technology
Lead vision, architecture, and delivery of Dialpads agentic AI platform. Manage ~130 engineers across multiple teams, drive platform roadmap, reliability, safety, evaluation, and observability. Partner with Product, Research, Design, and executives to align strategy, hire and grow managers and architects, set KPIs and OKRs, and optimize budgets for production-grade multi-agent orchestration and real-time conversational AI systems.
Top Skills: Aws Agent EcosystemConversational AiCrewaiEvaluation FrameworksGoogle Agent EcosystemHuman-In-The-Loop SystemsLangchainLanggraphLlm Inference OptimizationLlm PlatformsMemory ArchitecturesObservability FrameworksReal-Time Streaming InfrastructureRetrieval SystemsSafety FrameworksTool-Use Api-Execution Frameworks
18 Days AgoSaved
Remote
US
125K-172K Annually
Entry level
125K-172K Annually
Entry level
Information Technology
Design, build, evaluate, deploy, and stabilize customer-specific AI agents in production. Translate business workflows into technical solutions, implement enterprise integrations, develop evaluation and safety controls, tune performance, lead go-live and hypercare, and document reusable deployment practices. Collaborate with customers, Product, Engineering, and delivery teams to improve agent reliability, operational effectiveness, and measurable business outcomes.
Top Skills: Ai Agent Orchestration FrameworksAPIsCrmsErpsGoJavaScriptLlmsPrompt EngineeringPythonRetrieval SystemsSaas PlatformsTypescriptVector DatabasesWorkflow Automation
Reposted 22 Days AgoSaved
In-Office or Remote
CA, USA
174K-221K Annually
Senior level
174K-221K Annually
Senior level
Information Technology
Lead platform-level product design for AI-first business communications. Define patterns, primitives, and interaction models, ship coded prototypes and production code, evolve the design system, mentor designers, and drive cross-team AI-enabled tooling and infrastructure.
Top Skills: Agentic AiAICliDesign SystemsDialtoneFigma
Reposted 26 Days AgoSaved
In-Office or Remote
CA, USA
213K-269K Annually
Senior level
213K-269K Annually
Senior level
Information Technology
Lead design of agentic voice personas and interaction standards. Define pacing, prosody, handoffs, and quality metrics; partner with AI and Speech engineers to shape prompt-driven behaviors and turn-taking; research emotional states and set platform-wide VUI standards applied across verticals.
Top Skills: LlmPrompt EngineeringPrompt OrchestrationSpeech SynthesisText-To-Speech (Tts)
Reposted 26 Days AgoSaved
In-Office or Remote
CA, USA
211K-266K Annually
Junior
211K-266K Annually
Junior
Information Technology
Own product direction for custom SLMs, ASR, and real-time inference across the full model lifecycle: data acquisition and annotation, training and adaptation, evaluation, release, monitoring, and retirement. Define data strategy and quality bars, run evals and error analyses, make trade-offs between latency, cost, and model capability, and coordinate with product engineering and GTM while owning release and rollback decisions.
Top Skills: AsrEval HarnessGpuModel DistillationModel Fine-TuningQuantizationReal-Time InferenceStreaming LatencyTtsWer
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