Top Tech Jobs & Startup Jobs in Los Angeles, CA

Recruit and advise hiring teams across G&A and Marketing, managing the full hiring lifecycle from talent engagement through offer and onboarding. Build candidate pipelines, partner with hiring managers and executives, improve candidate experience, execute recruiting strategies, and represent Elastic’s employer brand. The role requires managing multiple requisitions, recruiting for varied corporate functions, influencing stakeholders, and using ATS and recruiting technologies.

Partners with enterprise and strategic clients to quantify solution value, develop ROI analyses and business cases, facilitate executive workshops, and deliver value realization strategies. Collaborates cross-functionally to identify use cases, manage initiatives, align stakeholders, and communicate technical solutions as measurable business outcomes. The role requires expertise in value engineering, consulting, value-based selling, financial modeling, change management, and executive presentations.

Own a focused portfolio of strategic AI-native enterprise customers, building executive relationships and leading complex software sales cycles from discovery through adoption. Develop account strategies, drive revenue, manage forecasting and pipelines, collaborate with technical and business teams, partner across the AI ecosystem, and provide customer insights that influence product strategy. The role requires strong enterprise sales performance, AI and modern infrastructure knowledge, executive presence, strategic planning, and experience with complex, multi-year opportunities.

The Senior Business Systems Analyst will gather and document CPQ requirements, analyze workflows, translate business needs into technical specifications, and facilitate communication between stakeholders and IT teams. Responsibilities include leading validation sessions, coordinating cross-functional input, documenting defects, supporting solution testing, conducting user acceptance testing, and improving CPQ processes. The role requires strong Salesforce CPQ expertise, business systems analysis experience, process documentation skills, and familiarity with Agile and Scrum methodologies.

Own channel strategy and partner-sourced pipeline for Elastic’s East Enterprise region. Responsibilities include onboarding and enabling partners, developing joint business plans, managing quotes and deal registrations, maintaining CRM pipeline accuracy, enforcing partner attach standards, forecasting, and reporting channel performance. The role partners closely with sales, solutions architecture, marketing, operations, legal, resellers, distributors, MSPs, and hyperscalers to accelerate bookings and expansion.

Serve as the technical authority for sales teams, customers, and partners across an assigned territory. Develop customer relationships, understand business goals, design architectures, demonstrate Elastic products, support sales cycles, enable partners, create collateral, and communicate customer needs to engineering and leadership. The role requires technical presales expertise, strong communication and influencing skills, continuous learning, and 30% regional travel plus occasional international travel.

Drive net-new revenue across mid-market accounts by owning a territory, building outbound pipeline, qualifying opportunities with MEDDPICC, delivering executive presentations and product demos, negotiating complex multi-year contracts, and closing consumption-based SaaS deals. The role requires technical fluency in cloud economics, observability, security, search, and modern data architectures, along with accurate forecasting and cross-functional collaboration with Solutions Architecture, Customer Success, Marketing, and RevOps.

Own a defined mid-market territory, generate pipeline through outbound prospecting, qualify opportunities using MEDDPICC, deliver executive presentations and product demos, negotiate complex multi-year SaaS contracts, and close consumption-based deals. The role requires technical fluency in cloud economics, observability, security, search, and modern data architectures, along with accurate forecasting and collaboration with Solutions Architects, Customer Success, Marketing, and RevOps.

Develop and operate IAM services powering Elastic Cloud and on-premises offerings. Responsibilities include backend software development, technical design, production debugging, incident response, customer issue resolution, security and reliability improvements, and on-call participation. The role involves distributed systems, containers, virtualization, microservices, cloud platforms, Kubernetes adoption, and collaboration across globally distributed engineering teams.

Leads marketing and sales analytics strategy, architecture, and measurement. Builds data models, pipelines, machine learning datasets, attribution and incrementality models, and revenue-performance analyses. Advises leaders on investments, tools, account prioritization, and funnel economics. Establishes data, metric, testing, and privacy standards; partners with Marketing, Sales, Finance, Revenue Operations, Data Engineering, and IT; plans roadmaps; presents recommendations to executives; and mentors analysts and engineers.