Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads fraud analytics strategy for digital payments, defining risk frameworks, fraud metrics, and analytical models. Partners with Product, Engineering, and Risk Operations to turn insights into scalable fraud mitigation solutions. Manages external data sources, defines requirements for production data pipelines, and establishes best practices for risk measurement and modeling. Serves as a senior thought leader influencing cross-functional stakeholders and executive decision-makers.

Design, build, deploy, and maintain resilient, scalable software for Toast Delivery Services. Develop real-time delivery tracking, driver matching, pricing, refunds, and payment-related systems. Solve distributed-systems and scaling challenges, integrate with partner APIs, uphold production reliability, promote strong engineering practices, and mentor teammates.

Leads an engineering team delivering Quoting, Catalog Management, and go-to-market technology. Oversees technical decisions, delivery planning, code reviews, quality assurance, release planning, incident resolution, stakeholder collaboration, and team development. Partners with Sales, Product, RevOps, and Data Analytics leaders while driving scalable solutions across Salesforce CPQ, Product Catalog, and related systems. Champions AI-assisted development and contributes to complex architecture and implementation efforts.

Lead credit risk strategy for lending products by analyzing portfolio performance, identifying risk drivers, refining underwriting and pricing policies, and conducting A/B tests. Partner with Data Science to develop and monitor credit models, while building AI-enabled workflows that automate analysis and surface risk signals. Collaborate cross-functionally with Risk, Product, Engineering, Operations, and Data Science to support scalable fintech growth and compliant automated credit decisioning.

Design end-to-end point-of-sale experiences for restaurant staff across terminal and handheld surfaces. Translate complex workflows such as ordering, payments, splits, modifications, and voids into fast, reliable, error-resistant interfaces. Partner with product, engineering, and research teams; conduct discovery, create prototypes and high-fidelity designs, address edge cases, communicate tradeoffs, and use research and business metrics to guide decisions. The role requires strong visual design, autonomy, collaboration, and an AI-first approach.

Build and optimize automated release engineering systems, including CI/CD pipelines, build and deployment tooling, and AWS cloud infrastructure. Ensure software delivery quality, security, compliance, and reliability. Lead complex projects, participate in on-call support, mentor teammates, and promote technical excellence. The role uses Go, Java/Kotlin, TypeScript, GitHub Actions, PostgreSQL, DynamoDB, Backstage, AWS, and AI development tools.

Conducts high-volume outbound and inbound outreach to prospective businesses, qualifies their needs, and schedules meetings for Account Executives. The role requires at least 100 daily outreach activities, effective communication across calls, email, and social channels, and strong organization, resilience, accountability, and customer empathy. High performers receive structured development toward an All-Bound Sales Development role and eventually a full-cycle Account Executive position.

Lead product strategy and roadmap for a new venture from MVP through product-market fit and scale. Own outcome briefs, weekly planning, customer research, prioritization, success metrics, and launches. Partner closely with engineering, design, sales, marketing, support, and operations to simplify workflows, validate customer value, and build scalable onboarding, reliability, self-service, and integrations. Use data and AI tools to guide decisions, prototype, research, and improve product outcomes.

Lead a four-person engineering team building a new product from concept through MVP and beyond. Act as a player/coach by writing code, fixing bugs, triaging customer issues, shaping architecture, and driving rapid weekly sprints with Product. Establish lightweight engineering practices, coordinate cross-team dependencies, incorporate modern tools, and maintain close customer feedback loops while balancing speed, quality, and long-term viability.

Build and deploy statistical and machine learning models for the Toast platform. Collaborate with product, engineering, and business teams to identify opportunities, develop data-driven solutions, evaluate models, and communicate insights to stakeholders. Work in a fast-paced environment and contribute to production ML systems and experimentation.