Top Hybrid Senior Level Jobs in CO

Directs strategic PMO services across managed-services portfolios, overseeing project prioritization, governance, resource allocation, transformation delivery, executive reporting, client relationships, business development, process improvement, and leadership development. The role manages complex programs, drives technology-enabled delivery practices, coaches project leaders, and aligns portfolio outcomes with organizational goals and professional standards.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Lead incident response engagements, investigate intrusions and advanced threats, conduct host and network forensics across Windows, macOS, and Linux, perform malware analysis, develop remediation plans, communicate findings to executives and legal stakeholders, mentor teams, and contribute industry thought leadership. The role requires strong consulting, project management, communication, and cybersecurity expertise, with travel of up to 30%.

Lead incident response engagements, investigate intrusions and targeted threats, perform host and network forensics, conduct basic malware analysis, and develop remediation plans. Communicate findings to customers, regulators, legal counsel, and executives through reports and presentations. Lead teams, contribute thought leadership, use AI technologies to improve workflows, and travel on short notice up to 30% of the time.

Lead incident response engagements, investigate intrusions and advanced threats, conduct host and network forensics, perform malware analysis, develop remediation plans, and communicate findings to customers, regulators, and legal stakeholders. The role also involves mentoring teams, contributing industry thought leadership, using AI to improve workflows, and traveling on short notice up to 30% of the time.

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.

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.

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.

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.

Manage the post-sale client lifecycle for health insurance customers, including implementation, workflow design, dashboard analysis, ROI measurement, project management, and relationship building. Serve as the primary client contact while coordinating with Sales, Product, Data Science, and Engineering. Ensure clients successfully adopt and maximize the value of predictive analytics solutions through strong communication, documentation, and ongoing engagement.

Drive new business and expand Datadog's presence across major strategic accounts. Responsibilities include prospecting, managing complex enterprise relationships, building account maps, understanding customer needs, negotiating value-based deals, developing opportunities, closing business, and maintaining accurate forecasts. The role requires selling enterprise software to Fortune 100 companies, coordinating cross-functional account teams, exceeding sales goals, and traveling more than 50% of the time.

Manage a team of Customer Success Managers, enhancing customer experiences and driving business value, while developing long-term strategies and advocating for customer needs.

Lead a high-volume Scale Customer Success team serving mid-market and large commercial customers. Build segmentation strategies, digital and AI-driven engagement programs, playbooks, and lifecycle workflows to improve retention, expansion, adoption, and CSM productivity. Hire and develop CSMs, manage risk using data, collaborate with Sales and cross-functional teams, and personally handle critical customer escalations.

Lead a team of 10–15 licensed benefits advisors through renewal cycles to drive retention, revenue growth, and exceptional customer experience. Coach for performance, run cross-functional projects to improve processes and tooling, integrate AI responsibly, and ensure compliance. Partner with Product, Sales, and Carrier Ops to optimize advisor workflows and customer outcomes.