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

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.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Lead development of Toast’s consumer-facing web experiences, building scalable guest and restaurant features across the stack. Collaborate with frontend, backend, iOS, and Android engineers using React, TypeScript, Next.js, APIs, and backend services. Own projects from development through launch, monitoring, and analysis while experimenting with users and influencing consumer product strategy.

Own the technical infrastructure supporting paid media, including tracking pixels, conversion signals, CRM audience syncs, marketing automation, data pipelines, platform integrations, UTM governance, launch QA, monitoring, and reporting infrastructure. Partner closely with paid media teams to troubleshoot data discrepancies, improve campaign launch speed, maintain data quality, and support audience operations across multiple advertising platforms.

Design, build, and operate production AI automations and agentic workflows for Toast’s customer care systems. Integrate LLMs with Salesforce Service Cloud, Amazon Connect, and workflow platforms; develop autonomous actions with human oversight; test, monitor, and improve system reliability, accuracy, latency, and cost. Collaborate with software engineers, Salesforce developers, and care operations stakeholders to translate workflows into scalable intelligent solutions.

Own the Toast Delivery Services product roadmap, improving dispatch, order tracking, exception handling, refunds, and AI-assisted delivery operations. Partner with Guest, POS, Order Management, AI teams, restaurants, couriers, and external integration partners to deliver measurable outcomes for operators and guests. Shape real-time delivery experiences, proactive alerts, capacity matching, and trusted automation for restaurant delivery.

Lead cloud security strategy and hands-on execution across AWS environments. Own CNAPP and CSPM capabilities, improve IAM and container security, build infrastructure-as-code guardrails, conduct architecture reviews and threat modeling, support detection and incident response, and drive remediation programs. Establish a multi-year cloud security roadmap, influence engineering priorities, mentor teammates, and partner with platform, infrastructure, SOC, and product engineering teams.

Leads development of resilient, scalable features across Toast’s enterprise Sports and Entertainment platform, including backend, frontend, and POS systems. Responsibilities include designing, deploying, testing, monitoring, and maintaining production services; leading complex technical projects; collaborating with Product, Design, Customer Success, Sales, and other teams; mentoring engineers; and using AI tools to improve development productivity.

Build AI workflows, agents, and customer-facing web experiences that accelerate website production and improve conversion. The role involves optimizing Contentful-based processes, configuring chat, enrichment, voice AI, and personalization tools, running experiments, establishing AI guardrails, monitoring performance, and training marketing teams on reusable AI systems. Collaboration spans Web Platform, CRO, SEO, product marketing, legal, privacy, and brand teams.