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

Develop, maintain and evolve a high-scale US sports trading platform. Build React/TypeScript frontends, backend microservices, optimize SQL and performance, implement CI/CD and automated testing, mentor junior engineers, and collaborate with stakeholders and architecture teams to ensure resilience and integration.

Lead design and development of scalable, real-time event-based systems for the Offers team. Mentor and coach developers, own solutions from development to live, ensure code quality, document solutions, and act as an escalation point. Work across full stack using Go, TypeScript, React, SQL, Kafka and deploy services to GCP.

Provide real-time resolution for escalated and high-effort customers via inbound/outbound calls and email. Own customer experiences, document action items, use Five9/Intercom/GSuite/Slack/Asana, share frontline insights, and act as a brand ambassador to improve satisfaction and retention.

As a Senior Product Designer, you will lead e-commerce design projects, collaborating with cross-functional teams to create customer-centered solutions and mentor junior designers.

Modernize a large fintech platform by building NestJS services and Next.js UIs, migrate transactional data to relational schemas, write comprehensive tests, identify and fix legacy problems, design scalable solutions that coexist with legacy systems, and use AI tooling responsibly to increase engineering velocity.

The Product Manager will oversee ClassWallet products from conception to delivery, ensuring stakeholder needs are addressed and maximizing product value through effective collaboration and prioritization.

Own performance observability and testing for a microservices-based AWS SaaS platform. Design and run load/stress tests, analyze logs and metrics, define KPIs and CI/CD performance gates, forecast capacity risks, and collaborate with platform, security, and product teams to prevent customer-facing performance issues.

Own and lead onboarding for new customers of DocketWise, ensuring successful implementation, training, and early adoption. Manage customer communications, customize onboarding plans, track milestones in Salesforce, run Zoom sessions, partner with Sales/Product/Services, and drive customer satisfaction and retention during the first 90 days.

Own full-cycle enterprise SaaS sales into large acute health systems and IDNs: build executive relationships, create territory and account plans, lead consultative demos and negotiations, develop business cases, coordinate cross-functional teams, and accurately forecast and close high-value platform deals.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

Work with customers and sales as a technical advisor to design and build integration solutions on Coinbase services. Architect distributed systems, develop open-source SDKs and reference implementations, lead end-to-end customer implementations, deliver technical presentations, remove roadblocks, and collaborate with product and engineering to extend platform capabilities. Substantial hands-on coding required.

Lead cross-functional technical programs to build and scale knowledge infrastructure for self-service, internal support, and AI-assisted discovery. Translate knowledge strategy into technical specs, APIs, schemas and delivery plans. Drive roadmap, dependency management, risk escalation, and launch-readiness while improving automation, metadata, CMS, and machine-readable knowledge to reduce manual work and scale support operations.

Build and operate billing and payments services using Node.js/Go and Vue.js. Develop integrations with payment and accounting systems, ensure runtime reliability on AWS (SQS, Lambda), drive CI/CD and automated testing, write design docs and runbooks, mentor engineers, and optimize high-throughput, latency-sensitive workloads.

Execute account-based and demand-generation campaigns, coordinate webinars and field events, manage CRM and campaign data in Salesforce/HubSpot, maintain project timelines in Asana, support vendor logistics and budgets, use AI tools for communications and insights, and ensure timely lead handoffs to Sales. Travel ~25%.

Lead platform product marketing for M-Files' AI, cloud, and core platform capabilities. Own platform positioning, messaging, GTM strategy, launches, competitive intelligence, sales enablement, and thought leadership. Collaborate cross-functionally with Product, Sales, Customer Success, Enablement, and Partners to drive adoption, pipeline, and market differentiation.

Lead and execute end-to-end marketing data science projects: gather requirements, build and productionize ML models, implement MLOps, create reusable Python/Databricks pipelines, provide measurement and causal/A-B testing analyses, manage and grow a data science team, and partner with marketing leadership to drive growth.

Execute and QA lifecycle marketing campaigns across email, push, and in‑app channels using Braze and Litmus. Code templates (HTML/CSS/JS), coordinate with Product and Engineering, perform acceptance testing, analyze and troubleshoot technical issues, document processes, onboard tools, and standardize workflows to optimize activation and retention.

Lead development and execution of corporate and B2B communications to reposition Ibotta as an enterprise technology leader and elevate the Ibotta Performance Network. Drive earned media, thought leadership, executive visibility, partner communications, and agency management while advising CEO/CRO. Build narratives, secure media placements, manage speaking programs, and support sales/partner initiatives. Mentor direct report and scale the function.

Lead strategic customer relationships for Enterprise (G2000) accounts, driving retention, revenue realization, and advocacy. Advise on complex technical deployments, run business reviews, develop account strategies, mentor peers, coordinate cross-functional resources, influence product roadmap, and ensure measurable customer outcomes.

Design, build, and operate multi-tenant elastic storage control-plane services. Ensure high availability and performance, run observability and on-call practices, lead complex projects, collaborate cross-functionally, mentor junior engineers, and contribute to scaling services handling petabytes of data.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.