Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Build and scale mission-critical tips, earnings, and payroll platforms for restaurant employees. Own systems end to end, lead complex projects from design through deployment, improve reliability and correctness, collaborate with product and design, review code, mentor engineers, and deliver scalable backend services that affect employee pay and product revenue.

Build and deliver backend payment-processing features using Kotlin, scalable APIs, microservices, and containerization. Develop automated tests, monitor feature rollouts, collaborate with UX and product management, and participate in design and code reviews. The role supports Toast’s unified payments platform and requires East Coast working hours.

Leads Toast’s managed marketing program, setting its strategy, service model, operating standards, roadmap, and economics. Builds and develops a leadership team, establishes scalable workflows, playbooks, capacity models, QA frameworks, dashboards, and performance rituals. Oversees customer outcomes, retention, expansion, service quality, compliance, and cost to serve while partnering across Product, Sales, Customer Success, Legal, and Finance. Drives continuous improvement through standardization, automation, AI, customer insights, and multi-channel marketing expertise.

Own Toast Ticketing from open beta through product-market fit, general availability, and scale. Lead roadmap strategy, weekly engineering delivery, customer research, commercialization, pricing and packaging, GTM enablement, customer escalations, and business metrics. Partner with engineering, design, sales, onboarding, marketing, and leadership while using customer insights and data to prioritize product decisions and drive ticket sales and revenue growth.

Founding Retail BDR for Toast90: build prospect lists and perform high-volume outreach (80+ activities/day) to convenience stores, grocery and bottle shops; qualify leads, schedule meetings for Account Executives, use Salesforce to track activity, partner on sales strategy, and position the Toast Retail solution against competitors.

Lead the POS Payments Experience engineering team, delivering reliable Android and web-based payment products. Drive planning, cross-team execution, technical direction, architecture, quality, monitoring, and production issue resolution. Partner with product and UX leaders, hire and develop engineers, and champion AI-assisted development practices.

Define and measure quality standards for Toast IQ, an AI assistant for restaurant operators. Review real user sessions, identify recurring failures, build labeled evaluation datasets, validate fixes, create regression cases, lead reviewer calibration, and translate findings into product priorities. The role also involves using AI coding tools to build review interfaces, automate analysis, monitor failures, and prototype improvements. Restaurant expertise, detailed analysis, structured data skills, and clear communication are central; formal product management experience is valued but not required.

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.