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

Leads GTM strategy and revenue planning, including segmentation, capacity, coverage, quota, territory design, pipeline modeling, and variable compensation. Manages a planning team, partners with Finance and Sales, evaluates routes to market, supports pricing decisions, and improves planning efficiency through technology and AI. The role requires extensive B2B SaaS revenue operations experience and ownership of complex planning cycles.

Leads the AMER Global Deal Desk, overseeing complex deal structuring, pricing, discounting, margin guidance, financial and business-risk analysis, approvals, and commercial compliance. Manages and develops deal desk personnel, partners with Sales, Legal, Finance, Delivery, and Operations, and drives scalable processes, AI-enabled workflows, training, enablement, and continuous improvement to support efficient, high-quality deal execution.

Leads Pacific Northwest employer sales by managing Regional Directors and Account Executives serving organizations with 50–9,999 employees. Responsibilities include developing sales strategies, driving revenue growth, pursuing new business, analyzing regional performance, ensuring compliance, and building relationships with benefits brokers and partners. The role requires sales leadership, team quota delivery, strategic thinking, and strong people-management skills.

Leads technical storytelling and executive advocacy for Datadog, creating event programs, presentations, demos, blogs, webinars, documentation, and other content. Partners with product and engineering leaders, coaches executives on public communication, represents Datadog at technical events, collaborates with organizers and customers, and provides product feedback. The role requires extensive software development or SRE experience, senior technical leadership, content creation, public speaking, coaching, and conference experience.

Runs scalable customer programs connecting product development and go-to-market teams. Responsibilities include recruiting and engaging customers for pre-PMF testing, coordinating cross-functional stakeholders, establishing operating infrastructure and readiness criteria, managing Customer Advisory Board activities, integrating customer testing into launch processes, and synthesizing feedback into product and GTM decisions.

Own day-to-day marketing execution with an emphasis on content and product storytelling. Translate complex technical concepts into credible content for technical, business, and executive audiences. Create blogs, thought leadership, customer stories, campaigns, emails, landing pages, social content, presentations, and webinar materials. Manage marketing channels, support industry events, coordinate communications, and use AI and automation thoughtfully to improve efficiency. The role requires independent project ownership and close collaboration with leaders, engineers, customers, and marketing partners.

Manage a high-volume SaaS customer portfolio through onboarding, product adoption, value realization, retention, and issue resolution. Monitor customer health, renewal rates, NPS, and adoption metrics; proactively mitigate churn risks; maintain CRM records and success plans; and collaborate with Account Management, Product, and Marketing on escalations, customer feedback, advocacy, and case studies.

ERP consulting interns assist with ERP software analysis and configuration, research financial and operational best practices, document requirements, and support business analysis and project management. They participate in client meetings, software demonstrations, sandbox environments, demo builds, training, and capstone projects while learning Sage Intacct, Oracle NetSuite, Procore, and Microsoft Business Central.

Lead and coach a recruiting team while owning day-to-day talent acquisition execution across engineering, research, and go-to-market functions. Run full-cycle recruiting, support complex searches, build AI-assisted workflows and scalable recruiting systems, use funnel data to diagnose performance, develop recruiters, and improve hiring quality through structured interviewing and stakeholder coaching.

Define and govern enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, and AI use cases. Establish standards for data quality, lineage, access, cataloging, governance, observability, and SLAs. Architect AI-enabled workflows, resolve complex architecture issues, influence roadmaps, and mentor engineers through hands-on technical leadership. The role requires 15+ years of software, data engineering, or architecture experience and expertise in large-scale data platforms and modeling.