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

Drive full enterprise sales cycle for Sages software, building executive relationships, managing long sales cycles, prospecting and expanding accounts, forecasting, and shaping GTM strategy and commercial processes to scale revenue.

Lead the full enterprise sales cycle for Sage's SaaS products: prospecting, executive negotiations, closing, and account expansion. Develop executive relationships, manage pipeline and forecasting, and partner cross-functionally to refine go-to-market strategy, sales enablement, and commercial processes. Up to 50% travel.

Lead full enterprise sales for Skilled Nursing and post-acute customers: prospect, build executive relationships, negotiate and close deals, create strategic account plans, manage pipeline/forecasting/CRM, partner with leadership to execute go-to-market and represent Sage at customer and industry events.

Implement, configure, and test decision engine process flows and rule changes. Execute QA, A/B tests, and historical backtesting. Validate data integrity between vendors and core apps. Gather requirements, document processes, and collaborate with Pricing, Risk, and Engineering to ensure accurate, efficient decisioning.

Own and architect Forward's security technology stack across AppSec, SecOps, and GRC. Design integrations with Engineering/IT, lead tool evaluations and PoCs, automate controls with infrastructure-as-code and detection-as-code, build centralized logging/SIEM and identity governance, align architecture to security frameworks, mentor security engineers, and support incident response and remediation.

Lead design workflow audits and modernize processes, tooling, and AI-assisted practices. Build playbooks, templates, and standards, manage tool selection and rollouts, track capacity and metrics, and contribute hands-on to product SKU design while driving cross-functional handoffs and change adoption.

Lead ICS/OT adversary hunting for assigned threat groups; author intelligence products; conduct proactive and reactive hunts using telemetry and file-analysis tools; use Synapse and Storm Query Language to model and automate investigations; support incident response surge events; mentor peers; collaborate cross-functionally and represent Dragos externally.

Design and maintain data pipelines, models, and transformation layers for analytics. Build data contracts, observability and lineage tooling, collaborate with product engineering, and optimize data structures for performance and scalability.

Designs and delivers leadership and manager development programs, owns the LMS, creates multi-format learning content, partners with People Business Partners, manages vendors, measures program effectiveness, and leverages AI to scale learning.

Lead planning and cross-functional coordination for marketing programs, build operating cadences, align roadmaps and launches, track budgets and resourcing, run co-marketing and campaign execution, produce decision-ready briefings and KPI dashboards, and implement AI-powered tools to scale marketing operations.

Own end-to-end commercial renewals for transactional and mid-market customers: quotes, uplift, negotiation, signed orders. Build repeatable renewal processes, improve forecast accuracy, automate admin work, generate quotes/order forms, and keep CRM and CS platform data clean. Co-lead enterprise renewals with CSMs and drive metrics like gross revenue retention, uplift, on-time renewals, and reduced CSM admin time.

Develop and deliver production-ready web experiences for marketing using React, Gatsby, and Tailwind. Build API integrations, maintain a lightweight codebase and design-system components, ensure accessibility, performance, SEO, and multi-region support, participate in code reviews, and help shape tooling and best practices across the team.

Lead design and build of an AI-native engineering OS enabling AI across the SDLC/PDLC. Deliver model access, agent orchestration, prompt/spec frameworks, developer portals, CI/CD re-architecture, governance, cost optimization, and an internal AI marketplace. Build and lead an AI platform engineering org and drive org-wide adoption of standardized AI workflows and tooling.

Develop fullstack web applications, enhance platform performance, collaborate on high-impact opportunities, and ensure stable, scalable solutions. Engage in rapid iterations and be a committed team player.

Own and evolve the data infrastructure powering identity and fraud products. Build and operate scalable ETL/ELT pipelines, ensure data quality and observability, optimize storage and access, support product squads, respond to production incidents, mentor engineers, and drive data platform innovation.

Lead product vision and execution for internal, data-intensive technical initiatives. Improve and future-proof datasets, shared services, and platforms. Partner across engineering, data science, analytics, and product to translate needs into requirements, prioritize work, drive cross-functional delivery, define success metrics, and communicate roadmap and risks to stakeholders.

Own IT-specific Sarbanes-Oxley (SOX) compliance for ITGCs and ITACs. Assess SOX readiness for systems and process changes, maintain control documentation, coordinate walkthroughs and remediation, liaise with internal/external auditors, review SOC reports, oversee testing programs, and identify automation and AI opportunities to strengthen controls and reporting.

Own preparation, review, and filing of SEC reports (10-Q, 10-K, 8-K, S-1); drive quarterly and annual reporting calendar; lead earnings release process; manage disclosure checklist and XBRL review; improve and automate reporting processes; prepare/review journal entries, reconciliations, equity rollforwards, and EPS; ensure U.S. GAAP and SOX compliance; research technical accounting issues and implement new accounting pronouncements.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Lead and scale Inspiren's end-to-end product support across hardware and software. Build contact center operations, implement monitoring/alerting, drive proactive issue detection, and deploy AI/automation. Translate operational insights into product improvements and develop a high-performing support organization aligned with company strategy.