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

Serve as a cloud cost management and FinOps subject matter expert, advising enterprise customers on multi-cloud cost allocation, AI token attribution, Kubernetes costs, budgeting, anomaly detection, capacity planning, and optimization. Partner with field and product teams, create technical collateral, guide implementations, and influence product roadmaps. The role requires strong cloud infrastructure, observability, billing data, Python or SQL, architecture, and consultative customer skills, with travel up to 40%.

Manages and develops Customer Success Managers while driving renewals, expansions, customer retention, and revenue growth. Serves as a customer escalation point, coaches teams on relationship-building and negotiation, collaborates cross-functionally to resolve challenges, and leads talent attraction, retention, and development in a scaling SaaS environment.

Manage complex customer incidents and escalations from triage through resolution, coordinating support, engineering, product, and leadership stakeholders. Lead customer and internal communications during critical events, prioritize response strategies, and develop monitoring, automations, runbooks, training, and retrospectives. Identify recurring cloud and product issues, drive operational improvement projects, mentor peers, and improve incident management processes.

Manage full-cycle recruiting for Datadog’s Technical Solutions function. Responsibilities include sourcing candidates, screening qualifications, partnering with leadership on interview processes, coordinating follow-up, negotiating compensation, training interview teams, maintaining accurate Greenhouse data, and delivering a strong candidate experience.

Partner with Customer Success to support the sales cycle through technical presentations, product demonstrations, evaluations, and solution guidance. Help customers onboard Datadog, resolve technical roadblocks, communicate feature requests to Product, and address customer concerns. The role requires cloud, application architecture, observability, or DevOps knowledge, strong communication skills, continuous learning, and up to 15% travel.

Manages and mentors a team of Mid-Market Account Executives, driving sales strategy, pipeline generation, forecasting, hiring, onboarding, and performance improvement. The role oversees the full outbound sales cycle, establishes activity standards, monitors funnel metrics, and coaches representatives toward quota attainment and career growth while selling SaaS and cloud solutions to mid-market companies.

Own technical customer engagements throughout the sales cycle, including discovery, presentations, product demonstrations, and proof-of-concept evaluations. Partner with Customer Success Managers and cross-functional teams to connect customer objectives with Datadog solutions, resolve technical blockers, and build trusted stakeholder relationships. The role also involves managing multiple evaluations, sharing best practices, mentoring newer Sales Engineers, and supporting enablement initiatives.

Build strategic relationships with enterprise customers, drive product adoption and expansion, lead onboarding, QBRs, and strategic reviews, and communicate Datadog’s business value to executive, technical, and business stakeholders. Analyze usage trends and datasets to identify gaps, quantify outcomes, and recommend growth opportunities. Coordinate cross-functional teams including Sales, Solutions Engineering, Technical Account Management, Product, Support, and Enablement to ensure customer success.

The Commercial Sales Engineer will support sales efforts by providing technical expertise, conducting product demos, and collaborating with product teams to address customer needs.

Lead design and delivery of Datadog implementations: gather requirements, build technical architecture, write deployment automation, manage implementation projects, and guide customer onboarding and launches.