Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

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 maintain developer tooling, internal platforms, testing frameworks, and core libraries used by Toast engineers. Improve development workflows, diagnose bottlenecks, integrate AI-assisted tools, measure developer productivity, operate production services, participate in on-call support, and collaborate with engineering teams on platform improvements.

Develop and scale full-stack software that calculates and delivers restaurant employee pay, including tip pooling, wage calculations, earnings retrieval, and payroll delivery. Responsibilities include designing reliable services, participating in code reviews and architecture discussions, influencing technical roadmaps, and collaborating with product, design, and engineering teams. The role requires backend development, modern web technologies, databases, distributed systems, messaging, microservices, and a strong focus on precision and production reliability.

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.

Leads Toast’s enterprise Enablement strategy across learning design, knowledge management, customer training, certification, and internal enablement. Drives AI-era transformation, customer product activation, self-service, employee proficiency, and role mastery. Partners with Product and Customer Care on AI-ready knowledge and self-service strategy, establishes metrics and governance, leads product-launch education, and reports enablement impact to senior leadership.

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.