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

Analyze and reverse-engineer legacy tax data for conversion into TaxSys. Create data mapping specifications for developers, QA conversion results, investigate data issues, prepare data for customer training and verification, and guide clients through conversion decisions and go-live. The role also involves customer communication, project documentation, planning, time management, and potential project leadership.

Manage relationships with targeted clients through phone and email, educate them about products and features, develop solutions for their needs, support successful platform adoption, increase retention and recurring revenue, and provide industry guidance. The role combines client success, strategic consulting, relationship management, and sales-oriented activities in a SaaS environment.

Manage a portfolio of automotive dealer accounts to drive retention, software utilization, ROI, and revenue growth. Build relationships with dealer stakeholders, assess needs, create strategic action plans, resolve bottlenecks, support at-risk clients, conduct virtual engagements, and identify expansion and upsell opportunities. The role requires automotive digital retailing SaaS account management or consulting expertise, strong communication and persuasion skills, analytical discipline, and familiarity with dealership systems.

Own BuildingLink’s Greater NYC growth strategy through account-based marketing, upsell and cross-sell campaigns, new-logo acquisition, and multi-channel demand generation. Build personalized campaigns in HubSpot and Salesforce, use data and AI automation to optimize pipeline, coordinate with Sales and Customer Success, and manage attribution and revenue reporting.

Conduct quantitative UX research using surveys, statistical modeling, and log analysis to understand user attitudes and behavior. Translate findings into compelling insights that inform Pinterest’s product roadmap and business decisions. Collaborate with product managers, engineers, designers, data professionals, and researchers on impactful user experiences.

Leads the architecture, delivery, and operational excellence of healthcare data integrations across systems and vendors. Designs APIs, integration patterns, and interoperability solutions using HL7, FHIR, and X12; manages end-to-end delivery, testing, migrations, monitoring, and troubleshooting. Advises clients and stakeholders, establishes technical standards, drives governance and alignment, and communicates risks and recommendations to leadership. The role also develops runbooks, supports regulated environments, and improves integration reliability and scalability.

Own the full post-sale customer experience, including onboarding, implementation, project delivery, support, account growth, adoption, business reviews, escalations, and customer advocacy. Serve as a trusted advisor on design-to-manufacturing workflows and PLM, MES, and ERP systems while collaborating with Sales, Product, Engineering, and Support. The role requires managing multiple customer projects and traveling extensively for implementations, training, and meetings.

Supports autonomous robot deployments in hospital environments through site readiness, configuration, mapping, testing, troubleshooting, and go-live support. Investigates issues across robots, Linux systems, networks, cloud services, databases, and integrations using logs and telemetry. Works with customers and cross-functional teams, contributes to documentation and playbooks, supports escalations, and improves deployment and support processes. The role requires 20–40% travel and offers broad early-career exposure to robotics, healthcare technology, and field operations.

Supports accounts payable, general ledger accounting, journal entries, balance sheet and bank reconciliations, fixed assets, month-end close, audits, compliance, and internal controls. The role also improves accounting processes, uses AI-assisted workflows, and partners with FP&A and Accounting teams on analysis and ad hoc requests. It requires 4–6 years of accounting experience, US GAAP knowledge, ERP and expense software experience, and strong Excel skills.

Build AI-powered finance applications using Databricks, Python, LLMs, and governed financial data. Develop tools for variance commentary, financial close checklists, reconciliation, FP&A, natural-language data exploration, and financial analysis. Partner with finance stakeholders, measure adoption and productivity gains, and maintain governance separating AI recommendations from financial controls. The role requires software engineering, finance process knowledge, and experience with Databricks, LLM applications, finance systems, and production-ready applications.