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

Owns revenue operations strategy and GTM planning, including forecasting, annual planning, business reviews, incentive design, analytics, KPI dashboards, and performance insights. Partners with Finance, Product, and Operations to improve sales productivity, align headcount with revenue goals, and execute multi-quarter strategic workstreams. The role translates complex data into leadership recommendations and manages cross-functional projects in a fast-paced environment.

Support enterprise customers and partners integrating applications with Wasabi Cloud. Diagnose, research, reproduce, and report defects; test storage services with third-party applications; validate interoperability using APIs and SDKs; investigate S3 protocol behavior; and collaborate with sales, development, QA, product, and support teams.

Leads Wasabi’s AI infrastructure, data factory, and developer partnerships strategy. Hunts and originates new relationships, develops joint go-to-market and co-selling motions, structures revenue-generating deals, and manages executive partner relationships. The role collaborates with Business Development, Sales, Marketing, and Product, builds the developer ecosystem, tracks pipeline and revenue performance, and represents Wasabi at industry events. Candidates need deep AI infrastructure and storage expertise, an established industry network, and a proven record of closing strategic partnerships.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Supports Spanish-speaking restaurant prospects during the sales process by partnering with SMB Account Executives. Conducts discovery calls and product demonstrations, explains Toast’s platform, assists with quotes and contracts, communicates in Spanish and English, advances deals, and supports transitions to onboarding. The role requires bilingual fluency, collaboration, adaptability, and a customer-focused approach. Salesforce experience, restaurant operations experience, and Sandler Sales Training are preferred.

Design intuitive payroll and team-management experiences for web and mobile applications. Collaborate with designers, product managers, and engineers to deliver polished, accessible interfaces for onboarding, payroll preparation, labor review, reporting, compliance, and payment workflows. Apply design systems, incorporate customer feedback, leverage AI tools thoughtfully, prototype rapidly, and produce pixel-perfect designs for development handoff.

Serve as the senior technical authority for global public cloud architecture across strategic customer engagements. Define reference architectures, standards, guardrails, and cloud service offerings; lead complex multi-region and multi-cloud designs; advise executive stakeholders; partner with Sales, Product, Engineering, Support, and Customer Success; build reusable automation and technical IP; mentor architects; establish competency standards; and influence product roadmaps and delivery methodology.

Leads a global Deal Operations team responsible for exception quoting, case management, approval queues, service levels, and quarter-end execution. Drives cross-functional improvements across Sales, Finance, Renewals, IT, and CPQ, translating system complexity into recommendations, reducing manual work through process optimization and automation, and serving as the escalation point for complex quoting. Manages team performance, hiring, documentation, governance, and operational change.

Provides entry-level, partner-facing SOC support by triaging security queues, communicating incident guidance, troubleshooting cybersecurity and product questions, coordinating escalations, documenting investigations, and following up through resolution. The role supports incident calls, live phone or chat coverage, knowledge-base improvements, cross-functional collaboration, and occasional weekend or on-call coverage. It requires clear communication, sound judgment, foundational cybersecurity knowledge, and organized remote work.

Support sales by providing technical product expertise, demonstrate Huntress platform, assess customer security posture, highlight risks, collaborate with Sales, Marketing, Support, and Engineering, and travel ~15% to meet customers.

Leads the development and ownership of Cedar’s production machine learning personalization engine. Responsibilities include ML modeling, MLOps, feature pipelines, deployment, inference, monitoring, feedback-loop optimization, compliance and fairness guardrails, technical leadership, code reviews, cross-functional collaboration, and management of ML engineers. The role requires hands-on contributions to scalable ML systems serving millions of healthcare transactions while guiding roadmap execution and model improvement.

Partners with engineering teams to identify and remediate product security risks across the software development lifecycle. Responsibilities include threat modeling, secure architecture and coding guidance, security testing, vulnerability prioritization, penetration testing coordination, bug bounty remediation, application monitoring, developer training, and secure deployment practices. The role also advances AI-assisted security tooling, DevSecOps practices, security champions, Kubernetes and container security, and scalable risk-based remediation frameworks.

Own end-to-end onboarding for high-revenue customers, partnering with Account Executives and internal teams to guide data migration, payments setup, website configuration, team permissions, and product enablement. Serve as the primary customer contact, manage timelines and risks, conduct walkthroughs, resolve technical issues, document progress in CRM tools, and share feedback to improve onboarding processes.

Own the full technology partner lifecycle, from qualification and commercial agreement through integration, activation, joint go-to-market, and royalty revenue generation. Manage a partner territory, forecast performance, conduct QBRs, coordinate with Product, Engineering, and Marketing, and build scalable onboarding and activation playbooks. The role requires enterprise SaaS partner management, commercial negotiation, partner economics expertise, technical fluency, and experience driving integrations and marketplace distribution.

Serve as legal counsel for complex technology transactions involving cloud, SaaS, AI/ML, satellite, terrestrial and non-terrestrial networks, hardware, and strategic partnerships. Draft and negotiate bespoke agreements, advise on licensing, data governance, AI risk, intellectual property, and infrastructure arrangements, and partner with Engineering, Product, InfoSec, Spacecraft Operations, Finance, and Sourcing. Build contracting playbooks, templates, escalation criteria, and AI-enabled legal workflows.

Analyzes sales and operational data to produce recurring performance reports, identify revenue optimization opportunities, and support leadership decisions. Partners with Sales, Marketing, Finance, and Product teams to develop analytical solutions, automate data pipelines, improve workflows, and deliver visual presentations and ad hoc analysis. Requires expertise in Google Sheets, Excel, SQL, database concepts, and data interpretation, with Shopify experience preferred.