Top Tech Jobs & Startup Jobs in Los Angeles, CA

Generate qualified pipeline via outbound prospecting and inbound lead qualification. Research accounts, engage executives, schedule meetings for AEs, support ABM and events, maintain CRM activity, collaborate with marketing, sales, partners, and report on pipeline and outreach performance.

Provides high-level administrative, calendar, travel, meeting, board, event, and project support to executive leaders. Manages confidential information, coordinates leadership activities, prepares agendas and presentations, tracks action items, conducts research, supports office operations, and improves administrative workflows. The role requires strong judgment, discretion, communication, organization, and proficiency with business productivity tools. It is primarily onsite in Hollywood, California, with occasional evening and weekend work.

Manage and grow approximately 40–70 government and education accounts within an assigned territory. Develop customer relationships, understand government contracts, present Grainger’s value proposition, create territory and sales plans, conduct revenue-generating customer calls, maintain CRM records in Salesforce, and achieve sales targets. The role requires frequent field presence in the Santa Fe Springs area, occasional overnight travel, and a valid driver’s license.

The HR Operations Specialist manages benefits administration, open enrollment, immigration support, I-9 and E-Verify processes, compensation data, pay analysis, recurring People programs, HR calendars, systems audits, and cross-functional projects. The role requires maintaining accurate employee data, reconciling records, supporting performance and compensation cycles, responding to employee questions, and using AI tools to improve communication, analysis, and operational efficiency.

Develop and maintain scalable Java and Spring Boot REST services, APIs, and microservices for mission-critical geospatial systems. Support containerization, orchestration, CI/CD, DevOps automation, testing, infrastructure deployment, data platforms, and third-party integrations. Contribute to architecture, performance optimization, troubleshooting, documentation, stakeholder demos, and Agile delivery. The role requires onsite work in Herndon, Virginia and collaboration on national security missions.

Own the strategy, performance, growth, partnerships, and roadmap for CouponFollow’s browser extension and mobile apps. Lead consumer product business planning, revenue and KPI accountability, acquisition and retention analytics, CPA/CPI partnerships, affiliate distribution, creator growth, compliance, and cross-functional execution with product, engineering, data, legal, and leadership teams.

Analyze and inventory historical employee, payroll, timekeeping, PTO, and document data in Namely; develop compliant recordkeeping guidance; migrate and organize data into Rippling and other current platforms; reconcile records to ensure completeness; and train the HR team on the resulting systems. The consultant must protect sensitive employee information and complete the project by December 18, 2026.

Own strategy and execution for scheduling, route optimization, and patient engagement features. Conduct user research with clinicians, patients, and healthcare providers; define product requirements; partner with engineering on scope and delivery; prioritize using data and customer insights; collaborate with sales, delivery, and account management; and support competitive analysis and market positioning. The role requires strong UX judgment, technical fluency, and experience shipping B2B vertical SaaS products in early-stage startups.

Own the product strategy and roadmap for SEO and AI visibility across thousands of real estate websites. Lead technical SEO foundations, structured data, performance, experimentation, migrations, measurement, and AI citation visibility. Partner with engineering and product teams to establish scalable defaults, safeguards, acceptance criteria, and reporting that improve organic discovery, client conversions, and platform-wide search quality.

Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.