Top Tech Jobs & Startup Jobs in Los Angeles, CA

Runs paid search, paid social, AI SDR, and account-based demand-generation programs. Manages agencies, budgets, creative and audience testing, pipeline performance, attribution, and conversion reporting. Builds AI agents and no-code or low-code workflows using tools such as Claude, Clay, n8n, Zapier, and Demandbase to automate campaign QA, routing, enrichment, alerts, and reporting.

Leads the strategy, architecture, and operation of Demandbase’s internal developer platform and cloud infrastructure. Responsibilities include Kubernetes platform management across AWS and GCP, CI/CD and GitOps, infrastructure as code, service mesh, observability, FinOps, security, incident response, and AI-assisted development workflows. The role sets organization-wide technical standards, authors architecture guidance, leads major incidents and postmortems, and mentors senior engineers across teams.

Leads strategy, planning, execution, and optimization for B2B user summits, trade shows, and field events. Owns event portfolios, budgets, vendors, logistics, onsite production, cross-functional coordination, lead capture, sales follow-up, and pipeline measurement. Develops scalable event playbooks and processes while guiding team members, contractors, and agencies. Requires extensive B2B event marketing experience, strong project and budget management, revenue focus, stakeholder influence, and travel for events.

Manage approximately 20 customer accounts and execute B2B digital advertising campaigns. Develop audience journeys and campaign briefs, optimize media utilization, analyze performance, deliver insights supporting renewals and expansion, coordinate with Customer Success, Ad Operations, and Sales, and support campaign launches, billing accuracy, and process improvements.

Own Demandbase’s AI product adoption and growth strategy, guiding customers from discovery and activation through repeat usage, cross-capability adoption, consumption growth, retention, and commercial expansion. Define adoption funnels, meaningful value metrics, lifecycle strategies, experiments, packaging, entitlements, and monetization mechanics. Partner with Product, Analytics, Data Science, Finance, Sales, Customer Success, and Marketing to improve AI outcomes, establish behavioral insights, and turn successful experiments into scalable product experiences.

Lead and expand executive relationships with top technology and advisory partners. Develop joint product, AI and GTM strategies, drive partner integrations and co-selling, influence product roadmaps, run executive engagement and strategic planning, and coordinate cross-functional teams to deliver measurable business outcomes.