Top Marketing Tech Jobs in Los Angeles, CA

Own and grow a portfolio of large enterprise and high-potential accounts through strategic prospecting, consultative discovery, ROI-based selling, executive alignment, and complex deal management. Partner with enterprise account executives and cross-functional teams to accelerate pipeline, coordinate sales resources, maintain Salesforce hygiene, and deliver accurate forecasts. The role requires closing SaaS experience, enterprise selling expertise, strong communication, multi-threaded deal navigation, and comfort using business metrics to build compelling customer cases.

Lead strategic insights and ad measurement projects, analyze complex datasets, craft narratives connecting brand lift to business outcomes, partner with clients and cross-functional teams, and drive process improvements and customer-facing recommendations.

The Senior Insights Manager analyzes campaign data, delivers actionable insights, engages with customers, and collaborates across teams to optimize performance and achieve business goals.

Underwrite and manage complex construction-focused inland marine risks, including builders risk, installation projects, contractors’ equipment, project cargo, and infrastructure accounts. Evaluate exposures, pricing, coverage, terms, and portfolio accumulation; build broker and client relationships; collaborate with Claims, Risk Engineering, Actuarial, Legal, and other teams; improve underwriting processes; and mentor underwriters through technical guidance and thought leadership.

Supports daily customer care operations across phone, email, and chat channels. Oversees supervisors, coaches teams, monitors KPIs, manages escalations, implements process improvements, assesses training needs, supports hiring, presents performance reports, and ensures timekeeping, quality, privacy, and accountability standards. Partners with Training, QA, Workforce Management, and other teams while promoting AI productivity tools and departmental goals.

Part-time intern supporting purchasing and supply chain tasks: maintain and update purchase orders, track past dues and ETAs, liaise with vendors, upload BOLs/PODs, run open order reports, process corrugated POs, and assist on purchasing projects.

As a Lead Product Manager, you'll drive AI-based consumer products from concept to commercialization, managing strategy, execution, and P&L while collaborating with cross-functional teams.

Leads the organization’s cybersecurity program, including security operations, incident response, vulnerability management, threat intelligence, risk mitigation, policy enforcement, compliance support, AI governance, vendor risk, security tooling, team development, awareness training, and budget support. The role manages security technologies and AI monitoring platforms, coordinates audits and third-party assessments, communicates risks to stakeholders, and drives continuous improvement in cyber and AI security practices.

Leads a data science team focused on customer intelligence and personalization across digital products, apps, newsletters, and marketing channels. Develops lifetime value, segmentation, retention, recommendation, attribution, forecasting, and engagement models. Owns product funnel analytics and experimentation, including A/B testing and causal inference. Partners with Product, Marketing, Editorial, Data Operations, and Engineering to translate customer behavior into product improvements, measurable growth, and scalable data capabilities.

Lead design and build of an AI-powered, spec-driven development platform: evaluate frameworks, architect end-to-end tooling, integrate with CI/CD and Kubernetes, partner with DevOps, MLE, and Security, instrument adoption and velocity metrics, and drive org-wide rollout and training to enable non-engineers to author specs.

Develop business intelligence and revenue reporting tools, automate Finance reporting processes, perform ad hoc and quantitative analyses, and translate complex data into actionable insights. The analyst will support company initiatives, present findings to technical and non-technical stakeholders, and provide decision-making guidance across the organization.