Top Tech Jobs & Startup Jobs in Los Angeles, CA

Own Square Hardware sales and revenue across major U.S. retail partners. Build and scale retail partnership strategies, manage existing retailer and distributor relationships, source and negotiate new partnerships, lead cross-functional launches and forecasting, and manage retail marketing budgets through test-and-learn investments.

Coordinate cross-functional product go-to-market programs from planning through launch, adoption, and optimization. Build project plans, operating mechanisms, launch documentation, feedback loops, status updates, and decision logs. Partner with Product, Sales, Marketing, Enablement, Analytics, Finance, and leadership to align stakeholders, manage dependencies, identify blockers, and improve execution. Translate operational data and customer or field feedback into clear priorities and recommendations.

Lead global ecosystem partnerships for Block’s Afterpay, Cash App, and Square products. Develop partner strategies, build executive relationships, design scalable partnership programs, commercialize B2B and B2B2C payment products, negotiate agreements, and expand distribution through third-party platforms. Collaborate with Product, Engineering, Sales, Marketing, Finance, Compliance, and Legal teams to maximize partner performance and commercial growth.

Lead data science initiatives for Risk and Support Operations by analyzing customer and product data, defining metrics, forecasting demand, evaluating experiments and risk policies, and building decision frameworks. Use AI tools and agent workflows to improve analytical efficiency. Partner with product, engineering, and risk teams, communicate insights to senior stakeholders, establish technical standards, mentor data scientists, and support hiring.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Own a local territory through field-based, full-cycle sales. Generate pipeline via business visits, cold outreach, community engagement, events, and partnerships; conduct demos; close Square ecosystem deals; build seller relationships; support onboarding; manage referrals; maintain Salesforce activity and forecasts; and consistently exceed quota across restaurant, retail, and service verticals.

Own a Santa Clara territory through primarily in-person field sales. Generate pipeline via business visits, networking, events, partnerships, and cold outreach; run full-cycle sales from prospecting through demos and closing; build seller relationships; support onboarding; maintain Salesforce activity and forecasts; master restaurant, retail, and service verticals; and consistently exceed quota.

Own and grow an Oakland territory through primarily in-person field sales. Generate pipeline via business visits, cold outreach, events, networking, and partnerships; conduct demos; sell Square’s software, hardware, and financial solutions; and close full-cycle deals. Build relationships with local businesses, support onboarding, develop referrals, manage pipeline and forecasting in Salesforce, and consistently exceed quota across restaurant, retail, and services verticals.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Lead pricing modeling and experimentation to optimize margin, conversion, and retention. Build elasticity and willingness-to-pay models, design A/B and bandit experiments, develop pricing automation (DealBot) and monitoring for AI-driven rate recommendations, own ETL/analysis/visualization, and partner with Finance, Risk, Product, and GTM teams to operationalize pricing intelligence.