Top Tech Jobs & Startup Jobs in Los Angeles, CA

Owns end-to-end hiring for Sales Development Representatives and other sales roles. Conducts structured phone screens and behavioral interviews, partners with sales leadership on candidate profiles and sourcing, analyzes recruiting, turnover, and performance metrics, improves hiring-funnel efficiency, and develops bias-mitigating selection methods. The role influences hiring decisions, coaches stakeholders, and supports high-performing, diverse sales teams.

Drive new business acquisition among law firms with 70+ attorneys by building sales pipelines, engaging senior decision-makers, and consultatively positioning Law.com, Compass, and Radar. Develop tailored solutions addressing client development, competitive intelligence, market share, and strategic growth needs. Collaborate with product, editorial, and marketing teams to deliver high-value offerings and build trusted relationships with legal industry buyers.

Onboard and support customers deploying IoT devices, troubleshoot cellular and network connectivity issues, analyze packets, train users on platform and APIs, configure account features, monitor network health, and resolve escalations. The role also contributes to technical documentation, internal tools, customer reviews, and back-office customer success projects while supporting French-speaking customers.

Conduct CRM implementations, client and internal training, go-live support, issue resolution, workflow analysis, and post-go-live optimization. The role partners with internal teams, communicates implementation progress, investigates client issues, and helps healthcare organizations improve software workflows while maintaining compliance with HIPAA, ERISA, and other regulations.

Leads data strategy and analytics for the Risk/Credit team, translating complex datasets into insights for Credit, Operations, Marketing, Product, and Finance. Responsibilities include automating Python/R workflows, building Tableau dashboards, partnering with Data Engineering on Databricks workflows, conducting strategic analyses, monitoring data quality, presenting recommendations to leadership, and documenting analytical methodologies. The role requires strong SQL, cloud data warehouse, visualization, analytics programming, distributed computing, and version-control expertise.

Administer and optimize multiple enterprise SaaS business applications, including configuration, workflows, permissions, integrations, reporting, data feeds, and vendor-supported changes. Troubleshoot system, access, workflow, and integration issues; support releases, testing, UAT, implementations, and data validation. Partner with business teams, vendors, IT risk, and data owners to improve efficiency, controls, data quality, reliability, and scalability across interconnected business systems.

Lead narrative design for rapid-prototype game concepts: refine backlogged concepts, define plot/theme/tone/characters, storyboard story beats, advise co-dev teams, and organize voice recording to support episodic storytelling potential.

Designs and sells complex managed services solutions while developing scalable service offerings, pricing models, documentation, standards, and enablement assets. Leads technical discovery, solution architecture, proposals, negotiations, deal governance, vendor alignment, and presales-to-delivery handoffs. Partners with Sales, Finance, Legal, Engineering, Operations, Delivery, clients, and technology providers to ensure profitable, contractually sound, and operationally ready services across cloud, infrastructure, security, end-user computing, data protection, service management, and AI-enabled technologies.

Translate enterprise AI engineering work into compelling videos, articles, demos, and social content. Build marketing automation tools such as scrapers, agentic case-study generators, microsites, and pipeline dashboards using Python or TypeScript. Own publishing and measurement across major channels, run marketing experiments with real budgets, and connect storytelling to business results. The role requires strong writing, hands-on coding, genuine AI expertise, a portfolio demonstrating range, and willingness to work in New York or San Francisco.

Leads complex FEMA disaster recovery projects for local government clients, serving as a Public Assistance subject matter expert. Oversees multidisciplinary teams, develops recovery methodologies, manages staffing and deliverables, addresses policy questions, and supports funding maximization from disaster onset through grant closeout. Provides strategic planning, cost recovery, infrastructure, economic development, housing, and social services advisory support while maintaining project management and quality standards.