Top Senior Level Jobs in Denver & Boulder, CO

Leads global customer advocacy through AI-powered innovation, strategic customer content, and third-party validation. Drives adoption and optimization of AI solutions, measures productivity and business impact, develops customer success stories for integrated campaigns, manages Gartner Peer Insights review programs, and supports analyst engagement and customer references. The role requires cross-functional collaboration across Sales, Marketing, and Customer Success, along with scalable processes, analytics, and operational execution.

Administers and optimizes Shield AI’s talent acquisition and people technology ecosystem, including Ashby ATS/CRM and related HR platforms. Owns configuration, integrations, permissions, data governance, reporting, vendor management, release management, UAT, and compliance controls. Partners with People Technology and cross-functional stakeholders on technology roadmaps and system design. Initially an individual contributor, the role is expected to grow into a player-coach position leading a TA and PX systems team.

Leads demand and field marketing for US major enterprise accounts, aligning with sales, BDR, partner, and digital marketing teams to generate pipeline and bookings. Responsibilities include omnichannel campaign planning, ABM, digital demand generation, executive events, partner marketing, budget management, vendor coordination, performance reporting, and ROI optimization. The role owns strategies for Global 2000 accounts and uses analytics, intent intelligence, and marketing technology to drive full-funnel engagement and conversion.

Build and maintain product cost and unit economics models for compute, storage, bandwidth, AI, and infrastructure usage. Partner with Product, Engineering, Pricing, Infrastructure Finance, and Accounting to analyze costs, margins, capital investments, capacity, depreciation, and forecasts. Develop allocation analyses, scenario models, reporting, reconciliations, and automation workflows. Translate technical and financial data into recommendations while improving finance processes and applying AI responsibly.

Develop and execute enterprise sales strategies across the Northeast, focusing on new-logo acquisition and revenue growth. Prospect, qualify, cultivate, and close large technology deals while advising C-level, IT, and business stakeholders on Boomi’s platform. Manage the full sales cycle, collaborate with BDRs, channel partners, architects, and systems integrators, carry quota, build transformational account strategies, and participate in local field events.

Own global sales incentive plan administration and continuous improvement, ensuring accurate performance-to-payout calculations. Resolve commission inquiries, produce reporting and insights, manage UAT for plan changes, maintain system hierarchies and eligibility, and collaborate with Sales Operations, HR, and Payroll on employee changes. The role requires expertise in commission calculations, Spiff, Salesforce, advanced Excel, data analysis, plan design, and stakeholder communication.

Counsel II will negotiate and execute diverse vendor agreements, including technology, cloud, SaaS, marketing technology, data platform, contractor, lease, and payment processing contracts. The role partners with Procurement, Finance, Engineering, Product, Information Security, Privacy, and other teams; develops legal playbooks, templates, and training; improves contracting processes; manages high deal volume; and provides practical guidance on privacy, data protection, and commercial legal matters.

Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases.

Develop and maintain MongoDB server workload resilience infrastructure in C++ or Rust. Design workload policies for rate limiting, prioritization, overload mitigation, availability, and performance. Write unit and integration tests, investigate failures, improve observability, diagnose and fix complex distributed-system issues, and lead technical projects. Collaborate across engineering teams, mentor junior engineers, participate in hiring, and improve operational readiness, monitoring, incident management, and rollout processes.

Build AI-powered applications for enterprise customers using Generative AI, LLMs, MongoDB, and modern software architectures. Responsibilities include refactoring applications, migrating legacy databases, optimizing performance, developing microservices and intelligent automation, supporting AI adoption, and influencing product strategy. The role collaborates with engineering, product, and customer teams to deliver scalable solutions and requires substantial enterprise software engineering experience.

Conduct OSINT investigations and contextual analysis of DPRK state-sponsored cyber adversaries and hacktivists. Track geopolitical, political, and economic developments; produce finished intelligence reports; answer customer RFIs; identify intelligence gaps; and collaborate with technical and customer-facing teams. The role requires high-proficiency Korean, deep knowledge of North Korean government and regional affairs, strong analytical and English writing skills, and effective use of AI technologies.

Leads incident response engagements, intrusion investigations, threat hunting, host and network forensics, malware analysis, remediation planning, and cloud incident response. The role produces executive and technical reports, communicates findings to customers and legal stakeholders, mentors teams, contributes industry thought leadership, and manages projects. Candidates need incident response or information security expertise, strong communication and leadership skills, AI technology experience, and willingness to travel up to 30%.

Leads T-Mobile Fiber portfolio strategy, product roadmaps, value propositions, pricing, business cases, hardware offerings, and end-to-end go-to-market launches. Uses consumer insights, competitive intelligence, segmentation, analytics, and financial modeling to identify opportunities, improve conversion, grow ARPU, and differentiate broadband products. Partners cross-functionally with Product, Pricing, Operations, Supply Chain, Finance, Sales, and Marketing teams while developing positioning, messaging, launch narratives, and channel enablement materials.

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.

Own long-term workforce planning and capacity strategy across Customer Success channels. Develop forecasts, staffing models, scenario analyses, dashboards, and labor investment recommendations. Analyze staffing, productivity, occupancy, shrinkage, service levels, and automation impacts. Partner with Customer Success, AI, Data, Finance, Talent Acquisition, BPO providers, and senior leadership to guide hiring, budgeting, headcount planning, and operational improvements through data-driven insights.

Manages high-risk, complex customer escalations from initial contact through resolution across phone, chat, and email. Evaluates customer, legal, financial, operational, and reputational risks; prepares executive and regulatory communications; coordinates with Legal, Finance, and cross-functional teams; and exercises independent judgment on exceptions and reimbursements. Identifies root causes, recurring trends, and process improvements while using AI tools to improve resolution efficiency and customer retention.