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

Owns a portfolio of strategic enterprise accounts across APAC, developing multi-year growth strategies, executive relationships, pipeline, and account expansion. Leads virtual teams across sales, presales, delivery, customer success, and partners. Responsibilities include value-based selling, DevOps and DevEx transformation opportunities, MEDDPICC qualification, partner co-selling, commercial negotiations, forecasting, CRM governance, and customer business-case development.

Build client relationships and support future placement of senior SAP consultants. Apply SAP expertise across IS-U, FI/FICO, project management, EWM, and HR/HCM through full-cycle implementations, rollouts, or support and AMS engagements. Provide strong client-facing communication and work remotely while maintaining United States residency and eligibility as a U.S. citizen or permanent resident.

Drive revenue and new business for Infoblox security solutions across enterprise accounts. Partner with account executives and regional leaders on account strategy, pipeline development, opportunity qualification, product demonstrations, proof-of-concept delivery, security assessments, and deal closure. Advise customers on cybersecurity, cloud, networking, and DNS security, while serving as a technical thought leader through workshops, events, enablement, and executive engagement. Collaborate with product, marketing, engineering, and solution architecture teams to improve offerings and develop customer solutions.

Lead lifecycle and CRM marketing strategy for consumer products across email, push, and in-app channels. Build complex campaigns, optimize customer engagement and retention, analyze segment and campaign performance, run experiments, and develop marketing automation solutions. Collaborate with product, analytics, technology, compliance, and legal teams to drive revenue growth while ensuring regulatory compliance across global markets.

Develop and implement ServiceNow solutions across ITSM, HRSD, CMDB, and related modules. Build workflows, business rules, user experiences, integrations, and automation using Flow Designer, IntegrationHub, REST, SOAP, and OAuth. Configure and productionize Now Assist and Moveworks capabilities, maintain code quality through reviews and testing, support platform upgrades, and document solutions.

Senior operator reporting to the CEO and overseeing business functions to scale the company. Responsibilities include launching new factories, managing and hiring teams, supporting financial management, executing strategic initiatives, developing new ideas, and using AI coding tools. The role requires strong autonomy, organization, attention to detail, and leadership in a full-time in-person setting in Los Angeles and/or Detroit.

Support execution of large-scale B2B outbound and demand-generation campaigns: build outreach sequences, manage outreach tools, enrich and QA data, maintain outbound infrastructure, coordinate webinar and content syndication operations, research target accounts/ICPs, assist reporting, and apply AI tools to automate workflows.

Conduct end-to-end enhanced due diligence reviews for complex, global businesses. Analyze KYB/KYC information, ownership structures, licensing and regulatory requirements, funds flows, AML risks, and adverse media. Perform targeted outreach, validate primary-source documentation, and produce clear, defensible EDD reports while managing a high-volume concurrent case queue.

Reviews videos of robotic arms, identifies key actions and outcomes, and applies detailed grading guidelines to annotate events. Uses video annotation platforms to create structured datasets, collaborates with trainers to resolve ambiguities, documents findings, communicates progress, and participates in quality reviews. Strong attention to detail, organization, communication, and accuracy are essential. Experience with video annotation, AI training, machine learning data preparation, or robotics is preferred.

Build foundational systems for AI models across data modalities, develop agentic systems and specialized models, and implement reinforcement learning and active inference solutions. The role involves hands-on architecture and product development, requiring Python backend expertise, cloud deployment knowledge, DevOps practices, and the ability to contribute across the technical stack in an early-stage startup.