Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and own ClickUp’s AI evaluation systems, agent harness, self-improvement loops, and model benchmarking, routing, and fallback strategies. Develop scalable backend and AI platform services for LLM deployment, orchestration, monitoring, and evaluation. Integrate AI features into core products while ensuring reliability, security, privacy, compliance, and cost-effective performance. Collaborate with product, frontend, data, and engineering teams to deliver customer-facing AI capabilities.

Partners with Sales and Success to lead technical discovery, tailored demos, proof-of-value initiatives, and solution design for B2B SaaS customers. Translates business requirements into workflow, integration, reporting, and automation recommendations; supports technical validation, data migration, security discussions, and RFPs; and builds custom dashboards and demo environments. Collaborates with Product and Engineering to resolve blockers and improve customer outcomes.

Own and improve ClickUp’s voice AI systems, including real-time speech-to-text, audio processing, context-aware transcription, LLM post-processing, mention resolution, formatting, and voice-to-action workflows. Evaluate and integrate ASR models for accuracy, latency, and cost, while collaborating across product and platform teams to deliver voice and multimodal assistant features across desktop, mobile, web, and browser extension products.

Partners with Sales, Ecosystem, and Revenue Operations to develop financial forecasts, models, recurring reports, variance analyses, and actionable recommendations. The role supports investment decisions, target attainment, efficient growth, and day-to-day business planning while using AI-powered workflows to improve financial analysis and reporting.

Design, scale, and optimize ClickUp's search infrastructure using OpenSearch/Elasticsearch. Improve relevance, speed, and real-time indexing, build vector search capabilities, create evaluation frameworks, and collaborate with AI/backend/product teams to integrate and troubleshoot search at scale.

Lead enterprise SaaS implementations from pre-sales through go-live, stabilization, adoption, and handoff. Own client relationships, delivery scope, schedules, budgets, margins, governance, risks, change management, AI adoption, and value realization. Coordinate distributed cross-functional teams and executive stakeholders, manage escalations, identify expansion opportunities, and help build ClickUp’s Engagement Management practice through playbooks, templates, and AI-enabled workflows.

Leads a hands-on product engineering team, owning hiring, development, delivery, architecture, code quality, reliability, and operational health. Partners with product and design to prioritize customer-focused work, manages milestones and dependencies, and contributes directly through code reviews, debugging, prototypes, and production fixes. Builds AI-native engineering workflows using agentic tools while maintaining security, correctness, human review, and strong engineering standards.

Own the post-sales lifecycle for enterprise SaaS customers, leading implementation, onboarding, adoption, workflow optimization, AI enablement, and account health. Design scalable workflows, automations, and AI agents tied to customer outcomes. Manage stakeholder relationships, identify expansion and renewal opportunities, and collaborate with Sales, Product, Engineering, and Support. Use adoption data and account insights to drive measurable business value across a strategic book of business.

Own strategic customer relationships by leading onboarding, implementation, adoption, account health, workflow optimization, AI enablement, and expansion efforts. Translate customer requirements into scalable ClickUp workflows, templates, integrations, automations, and AI agents. Monitor usage and business outcomes, conduct workflow discovery, provide training and change management, and collaborate with Sales, Product, Engineering, and Support to drive renewals, growth, and measurable customer value.

Lead a developer productivity engineering team responsible for CI/CD, build systems, internal tooling, and AI-augmented development workflows. Improve developer experience, engineering velocity, and software quality through scalable infrastructure, productivity metrics, AI tool adoption, coaching, and governance. Partner cross-functionally, mentor engineers, evaluate AI technologies and costs, and establish standards for security, correctness, licensing, and data handling.