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

Manage enterprise customers to drive product adoption, retention, and expansion. Build Mutual Success Plans, lead QBRs, analyze customer data to surface insights, provide strategic sales engagement guidance, run trainings/webinars, and manage executive relationships. Partner internally to resolve issues, demonstrate ROI, and ensure renewals and customer satisfaction.

Manages existing accounts and develops new business for CAS scientific information and services. Responsibilities include consultative solution selling, pipeline generation, account growth, RFPs, proposals, contract negotiations, customer engagement, product demonstrations, forecasting, and collaboration with technical and delivery teams. The role serves chemistry and scientific-industry clients across North America and requires executive-level relationship management, revenue ownership, CRM usage, and travel to client meetings and industry events.

Leads SaaS support desk operations for healthcare clients, owning service levels, response and resolution performance, escalations, ticket workflows, reporting, and support quality. The manager investigates complex technical issues, administers Jira Service Management, develops dashboards and documentation, improves processes, and partners with Product, Engineering, Customer Success, and Implementation teams. The role also manages support staff and drives automation and operational efficiency.

Recruits ABA professionals, including BCBAs, RBTs, and Behavior Technicians, through sourcing, screening, interviewing, credential verification, and onboarding coordination. Maintains candidate pipelines and ATS records, partners with hiring managers, monitors recruiting metrics, builds relationships with training programs, and supports employer branding. The role requires managing multiple openings in a fast-paced, high-volume environment while delivering a positive candidate experience.

Supports research and development of innovative engineering solutions, including prototyping and testing tools, technologies, and process improvements. Collaborates with cross-functional teams to implement innovations, researches emerging technology trends, and helps improve organizational efficiency. The role requires analytical problem-solving, technical knowledge, effective communication, teamwork, self-motivation, and comfort in a fast-paced design environment.

Develops and submits grant proposals supporting university priorities and student outcomes. Researches funding opportunities, writes narratives, coordinates budgets and internal approvals, ensures compliance, and serves as the university’s Authorized Organizational Representative. Supervises a Grant Specialist, facilitates proposal committees and cross-campus collaborations, maintains grant records, supports post-award transitions, monitors funding trends, and advises university leadership and campus stakeholders.

Analyze large datasets, identify meaningful patterns, develop machine learning models, and deliver actionable insights for business decisions. Collaborate with cross-functional teams to understand data needs, communicate findings clearly to stakeholders, and stay current with advances in data science and AI technologies.

Leads and develops a team of eight mid-market Account Executives, owning quota attainment, pipeline health, forecasting, coaching, hiring, and sales execution. The role drives team performance through structured operating cadences, deal inspection, CRM rigor, and data-informed coaching while partnering with Sales Leadership, RevOps, and Enablement. It also supports strategic prospect conversations, up-market growth, larger deal sizes, and sales process improvement in a remote SaaS environment.

Lead long-cycle, consultative enterprise sales for Manifest's immigration and global compliance solutions. Manage multi-stakeholder deals, run pilots and business cases, use MEDDPICC for forecasting, and represent the company at industry events.

Build and modernize enterprise data and AI ecosystems, including real-time streaming pipelines, data products, semantic layers, knowledge graphs, RAG architectures, and GenAI infrastructure. Develop synthetic data workflows, automated data quality systems, and reliable cloud data platforms. Collaborate with architects, DevOps, and stakeholders, mentor engineers, lead prototypes, and apply AI solutions to insurance use cases while ensuring scalability, governance, monitoring, and operational resilience.