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

Full-stack feature-team engineer working across UI, JavaScript, and backend to build scalable investment portfolio management web applications. Gather requirements with product and users, design solutions, implement and deploy code, and operate in Linux environments. Emphasis on strong computing fundamentals, Ruby on Rails proficiency, user workflow understanding, and clear communication.

Source and close partnerships with law firms by building relationships, managing diligence and pipelines, negotiating commercial terms, guiding deals to close, and partnering with leadership to develop sales strategy and processes.

Provide advanced remote technical support and act as escalation point for engineers. Troubleshoot Microsoft 365/Teams/Exchange, Entra ID, networking (VPN, DNS, DHCP, firewalls), endpoints, backups, and enterprise applications. Maintain ticket documentation, coordinate vendor escalations, mentor junior staff, and contribute to knowledge base and process improvements while meeting service metrics.

The Lead Marketing Web Engineer/Developer at Pindrop will oversee the website's architecture, performance, and conversion strategies, integrating AI to enhance user experience and driving data-driven decisions across the digital platform.

Own and grow enterprise accounts to meet sales quotas by prospecting, qualifying, and closing enterprise license deals. Lead solution-selling activities including POCs, ROI/business case development, pricing/negotiation, contract execution, forecasting in Salesforce, and cross-functional coordination with sales engineering, product, and partners.

Lead AI engineering practice to design, deliver, and operationalize generative AI solutions. Provide technical leadership to engineers and data scientists, define architecture and technical roadmap, enforce best practices (testing, guardrails, monitoring), optimize GenAI applications, and collaborate with product and stakeholders to align solutions with business goals.

Lead and scale a technical customer support organization for a B2B SaaS product. Own frontline support, support engineering (reproductions, log diving, SQL, API debugging), bug triage, AI-first deflection using LLMs, metrics (response time, TTR, CSAT), knowledge management, and partnership with Product and Engineering. Hire, define operating model, and build global coverage.

Lead a distributed SQL team and own the end-to-end service model for custom analytics: intake, scoping, delivery, QA, documentation, and SLAs. Serve as a customer-facing technical lead, build scalable workflows and request taxonomy, partner cross-functionally, and balance customer delivery with internal platform priorities.

The Senior Data Scientist at Fetch will develop and scale data science capabilities, architect predictive models, and influence product strategy through collaboration and experimentation. They will lead initiatives focused on engagement, churn, and business impact measurement using advanced analytics and machine learning tools.

Lead and build Fetch's full communications function across investor relations, B2B and consumer PR, internal communications, executive messaging, and crisis/change communications. Serve as strategic advisor to executives, manage agencies and a growing team, create master narratives, prepare for IPO, and align messaging across all stakeholders.

Review and process laboratory orders, input and verify test data, perform regular data audits, identify and resolve discrepancies, and provide process feedback in a remote environment.

Lead and optimize day-to-day operations, translate CEO strategy into operational plans, oversee program delivery and project management, support financial oversight and donor reporting, ensure compliance and risk management, drive adoption of digital tools, and manage partnerships, vendors, and stakeholder reporting to enable efficient, data-driven program impact.

Design and deliver customized enablement and change management programs for multi-cloud Salesforce transformations. Conduct needs analysis, create training materials (eLearning, videos, guides), facilitate workshops and executive briefings, lead OCM activities, evaluate training effectiveness, and maintain training repositories while collaborating with delivery teams and client stakeholders.