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

Originate and close corporate travel management opportunities for middle-market and large corporate clients. Lead complex sales cycles, develop executive relationships, build pipeline, negotiate solutions, and coordinate implementation handoffs. Partner with banking, product, operations, and servicing teams to deliver integrated solutions and strong client outcomes. Manage forecasting, analyze market trends, represent the business at industry events, and identify growth opportunities.

Own Rubrik’s customer story and CXO Visionaries programs from recruitment and discovery through content production, events, awards, and executive engagement. Develop technically grounded customer narratives, manage editorial workflows and external vendors, track story impact, and partner with sales, PR, product, engineering, alliances, and events teams. Build scalable processes and quality standards while translating cybersecurity and data resilience outcomes into compelling proof points for senior business and technology audiences.

Manage approximately 30 enterprise agency and systems integrator partners, serving as a trusted advisor and Klaviyo product expert. Build partner strategies, referral pipelines, co-selling opportunities, and co-marketing initiatives while coaching partners on growth and profitability. Present and demonstrate Klaviyo solutions, exceed revenue goals, develop enablement programs, collaborate cross-functionally, and identify AI-enabled workflow improvements. The role requires up to 25% travel.

Leads Unanet’s internal data strategy and architecture for enterprise AI. Defines the shared data foundation, target architecture, governance standards, roadmap, and reusable approaches for AI assistants, agents, and workflows. Evaluates platforms and integration options, validates technical solutions, and coordinates IT, Security, Legal, Engineering, business owners, and system specialists. Advises senior leaders, establishes data quality and stewardship requirements, and helps determine when data is ready to support scalable AI initiatives.

Build and maintain Customer Success and Implementation playbooks, SOPs, training programs, knowledge bases, presentation materials, and scalable workflows. Partner cross-functionally to communicate process and product changes, improve automation and efficiency, identify customer risks, and measure enablement effectiveness. Support implementation, launch readiness, customer health, escalations, business reviews, renewals, and expansion.

Lead end-to-end LLM inference performance across serving systems, models, GPU hardware, and workloads. Define rigorous benchmarks, diagnose bottlenecks from scheduling through kernels and interconnects, optimize single- and multi-node deployments, and deliver production-ready runtimes and configurations. Collaborate with product and infrastructure teams, evaluate inference technologies, and implement runtime fixes. The role requires strong Python engineering, production experience with serving engines such as vLLM or SGLang, GPU profiling, and knowledge of modern inference optimization techniques.

Owns end-to-end accounts payable operations, including invoice processing, payments, accruals, prepaids, reconciliations, and month-end/year-end close. Supports audits, maintains audit-ready documentation, strengthens internal controls, and partners with Accounting and FP&A on accruals, cash forecasting, and vendor issues. The role also drives AP automation, standardizes procedures, optimizes NetSuite and Ramp workflows, and may mentor or manage additional resources as the function grows.

Designs, implements, and manages AWS infrastructure and Infrastructure as Code automation. Partners with application engineering, quality, security, and compliance teams to deliver reliable platform solutions. Owns platform stability, observability, incident response, security best practices, and zero-downtime deployments. Participates in on-call rotations, uses metrics for decision-making, and supports application architecture decisions while continuously improving DevOps processes and automation.

Leads product initiatives from concept through launch and lifecycle management. Responsibilities include market and customer research, requirements development, roadmap planning, feature prioritization, business case and pricing development, pilot programs, product demonstrations, and cross-functional collaboration with engineering, sales, marketing, support, and internal stakeholders. The role also identifies partnership opportunities, defines success metrics, and delivers products within scope, timeline, and budget.

Lead CTV media buying and programmatic strategy across Ashley’s furniture and mattress brands. Optimize campaigns, budgets, CPMs, audience targeting, and frequency to drive online conversions and in-store sales. Manage publisher, streaming platform, ad exchange, and DSP relationships; negotiate Deal IDs and PMP agreements; oversee attribution, incrementality testing, clean-room analysis, impression deduplication, and offline conversion measurement. Partner with data science and creative teams to improve performance, unify fragmented vendor data, and achieve ROAS targets.