Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own the full outbound sales cycle for mid-market merchants, including prospecting, pipeline development, discovery, demonstrations, negotiation, and closing. Develop tailored multi-product solutions across Square’s ecosystem, acquire new logos, manage Salesforce forecasting, and consistently exceed revenue targets. Collaborate with business development, product, marketing, implementation, and operations teams while serving as a consultative advisor throughout complex, multi-stakeholder deals.

Own and grow a local sales territory through primarily in-person execution. Generate pipeline via door-to-door outreach, networking, events, and partnerships; conduct product demonstrations; manage full-cycle sales; close deals; build seller relationships; support onboarding; maintain Salesforce activity and forecasts; and consistently exceed quotas across restaurant, retail, and services verticals.

As a Business Development Representative Associate, you will manage a pipeline of businesses, conduct outreach through cold calling and emails, and promote Square's solutions to drive sales. This entry-level position offers opportunities for career growth and skill development in a fast-paced environment.

Lead and coach a Los Angeles-based field sales team to grow revenue through in-market coaching, pipeline and forecast rigor, hands-on selling, hiring and onboarding, and scalable field sales motions. Use data-driven insights to improve AE effectiveness, build a high-accountability culture, deepen product and competitive expertise, and collaborate cross-functionally to accelerate local market growth.

Lead a team of ~10 senior account executives on a fully outbound mid-market sales team. Hire and develop top talent, coach using data-driven pipeline and forecasting diagnostics, build repeatable playbooks and operating rhythms, drive pipeline quality and quota attainment, and partner cross-functionally to improve commercial execution and product strategy.

Build and scale first-line risk control monitoring systems using statistical analysis, automated workflows, and reusable data science modules. Define risk metrics, investigate control performance, establish thresholds and guardrails, and translate analyses into monitoring applications. Partner with risk, compliance, product, and engineering teams to improve governance, identify monitoring gaps, and support decision-making. Lead ambiguous, cross-functional initiatives while communicating findings, limitations, and recommendations to technical and executive stakeholders.

Lead complex security incident investigations from assessment through recovery, coordinating containment, remediation, evidence preservation, and stakeholder communication. Analyze threats across endpoint, identity, cloud, SaaS, network, and application environments. Build code, queries, automation, and AI-assisted workflows to improve evidence collection, detection, case management, and response. Lead post-incident reviews, drive lasting improvements, mentor responders, and participate in the incident response on-call rotation.

Build AI-enabled automation tools that simplify People Team processes and improve employee experience. Partner with People leaders to identify and prioritize opportunities, redesign workflows, develop reliable integrations, and measure outcomes using data and feedback. The role requires process improvement, software and automation experience, technical fluency across systems and data, strong UX instincts, and the ability to communicate tradeoffs and impact to senior stakeholders.

Design and maintain data architecture and pipelines to support compliance and risk teams. Build and optimize data models, standardize metrics, and create data dictionaries. Implement data quality, lineage monitoring, AI-driven agents for false-positive reduction and automation, and participate in on-call rotations to ensure SLAs are met.

Analyze workforce, talent, organizational health, and employee experience data to support senior People leaders. Build dashboards, reports, and scalable insight products; use AI to automate analyses; translate ambiguous questions into recommendations; create executive-ready storytelling; improve data quality and self-service reporting; and partner with People, data, and systems teams while protecting sensitive employee information.