Top Hybrid Senior Level Jobs in CO

Develops and manages relationships with national insurance brokers and carriers, presents software solutions, identifies market opportunities, and creates joint strategies to drive revenue. Collaborates with marketing and product teams to tailor offerings, implement integrated partner solutions, and generate new revenue streams. Tracks account activity, forecasts, and performance while supporting growth in the commercial auto insurance sector.

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership.

Manage financial analyses, evaluate deal structures, and provide insights for clients while supervising junior members and ensuring quality deliverables.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.

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.

Build and manage relationships with affluent consumer and business customers through proactive outreach, discovery-based financial guidance, and comprehensive banking solutions. Grow a book of business across deposits, lending, investments, and credit; coordinate referrals with Wealth, Home Lending, and Business Banking; promote digital banking; support branch colleagues; and maintain strong documentation, risk controls, and regulatory compliance.

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.

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.