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

Report and write news, analysis, features, enterprise, and trend stories focused primarily on the WNBA and women’s college basketball. Pitch distinctive ideas, respond to emerging news, coordinate with editors, and help plan coverage calendars. Adapt written storytelling for social, video, podcasts, and other platforms while collaborating across the newsroom. The role requires strong reporting, writing, news judgment, social media expertise, ethical journalism, and flexibility for travel and nontraditional hours.

Drives revenue operations across Sales, Account Management, and Customer Success by building dashboards, forecasting and capacity models, managing Salesforce workflows, producing executive reporting, and supporting territory, quota, and book-of-business planning. Partners cross-functionally on GTM initiatives, monitors funnel efficiency, and translates complex data into actionable recommendations using advanced Excel and analytics tools.

Serve as a strategic advisor to Corporate Function leaders on organizational design, workforce planning, talent strategy, succession planning, leadership effectiveness, employee relations, and change management. Lead scalable people programs, use people analytics and AI-enabled HR technologies to inform decisions, and support organizational transformation and AI adoption. Coach senior leaders, navigate complex employee matters, and improve organizational health, manager effectiveness, and employee experience.

Design and advance the firm's enterprise data and analytics capabilities. Build data platforms, warehouses, lakes, semantic models, and scalable ETL/ELT pipelines. Develop Power BI and Microsoft Fabric dashboards, KPIs, and reporting solutions. Apply statistical analysis, predictive modeling, forecasting, and machine learning to business problems. Create governed, AI-ready data assets and support intelligent automation, generative AI, and retrieval pipelines. Provide technical leadership in data architecture, governance, analytics strategy, and engineering best practices.

Own and grow a portfolio of North American customers by identifying cross-sell, upsell, and whitespace opportunities. Build expansion pipeline, engage senior stakeholders, conduct commercial discovery, manage negotiations, close deals, forecast accurately, and partner with Customer Success to convert customer insights into revenue.

Own full-cycle recruiting for Product, Data Science, and Finance/Operations roles. Develop sourcing strategies, qualify candidates, advise hiring managers, manage pipelines, and deliver a high-quality candidate experience. Build talent networks, track search milestones, use ATS reporting, and contribute to talent acquisition initiatives involving branding, operations, diversity, training, documentation, and process improvement.

Sell Torq’s enterprise security automation platform across the Northeast. Responsibilities include managing the full sales cycle, executing territory plans, achieving quarterly revenue targets, developing prospect and customer relationships, engaging channel partners, and expanding opportunities across business stakeholders. The role requires enterprise security software sales experience, consultative selling expertise, executive-level communication, new business development success, and familiarity with sales methodologies such as MEDDICC, Challenger, or CoM.

Analyze small-business loan applications, including bank statements, financial statements, tax returns, and supporting documents. Assess cash flow, repayment ability, credit risk, business credibility, and potential red flags; make approval or decline recommendations under company policies. Perform peer quality reviews, maintain compliant documentation, meet decision SLAs, communicate with brokers and merchants, and escalate complex cases. Use Excel, financial analysis tools, and AI-supported workflows responsibly while applying independent judgment.

Lead complex enterprise customer engagements across pre-sales, implementation alignment, adoption, and renewal readiness. Shape solution strategy, value demonstrations, and technical storytelling; translate network intelligence into strategic recommendations; coordinate escalations across Services, Product, and Engineering; drive adoption, expansion, and measurable value realization; and build executive relationships while representing customer and regional perspectives internally.

Lead Elasticsearch performance engineering from architecture through production. Develop performance models, optimize distributed systems, profile bottlenecks, build benchmarks, detect regressions, and improve scalability across stateful and serverless architectures. Design AI-assisted optimization and benchmarking tools, collaborate across teams, define performance strategies, and mentor engineers. The role requires deep Java, JVM, concurrency, distributed systems, and search or data-store performance expertise.

Develop and optimize Elasticsearch performance across distributed and serverless architectures. Responsibilities include implementing performance models, profiling systems, identifying bottlenecks, building benchmarks and regression detection, improving logging, metrics, vector search, and ES|QL performance, and creating AI-assisted optimization tools. The role also involves architectural and code-level optimization, technical analysis, peer reviews, and guidance for fellow engineers.

Support US Public Sector sales leaders with pipeline KPIs, forecasting, variance analysis, territory and capacity planning, early warning systems, and cross-functional go-to-market initiatives to drive bookings and growth.