Top Hybrid Jobs in Denver & Boulder, CO

Own the post-sale customer lifecycle for a portfolio of B2B SaaS customers, including onboarding, adoption, retention, expansion, and churn mitigation. Build trusted relationships with Operations and Finance stakeholders, provide purchasing and payments guidance, drive revenue and net retention, monitor support risks, and translate customer feedback into product improvements. Collaborate cross-functionally to identify strategic opportunities and strengthen customer advocacy.

Develops revenue opportunities for the Lottery business by building financial cases, defining success metrics, coordinating cross-functional plans, and evaluating performance. Serves as a key partner contact, aligns stakeholders, manages launch-readiness dependencies, and communicates data-driven recommendations. Requires strong quantitative modeling, testing, data integrity, and business planning skills.

Develop and maintain native iOS applications using Swift and SwiftUI for DraftKings’ financial platform. Responsibilities include building user-facing features, integrating APIs, managing data and state, optimizing performance, monitoring crash analytics, participating in code reviews and testing, and troubleshooting reliability issues. The role collaborates with product, design, analytics, and engineering teams to deliver scalable, compliant mobile experiences.

Designs, facilitates, and evaluates data-driven learning programs for customer experience teams. Responsibilities include instructional design, AI-enabled training, cohort and program management, stakeholder consultation, learner coaching, communications, and learning analytics. The role owns program outcomes, uses Kirkpatrick Model evaluations and KPIs to optimize learning, and mentors learners and junior team members while partnering with senior leadership.

Leads complex, cross-functional strategic programs spanning Customer Experience, Product, Engineering, Data, Design, and Operations. Owns program plans, roadmaps, launch readiness, change management, reporting, and executive stakeholder alignment. Develops AI-enabled operational readiness strategies, translates technical concepts for broad audiences, improves operating models and tooling, and uses data-driven insights to enhance customer experience and organizational efficiency.

Build and own full-stack services and APIs enabling businesses to offer and manage 401(k) plans. Design scalable features, evolve system architecture, establish engineering best practices, collaborate with product, design, compliance, and operations, debug production issues, and improve reliability, observability, and operational tooling. The role requires end-to-end system ownership, production support, and cross-team technical influence.

Own the reliability and quality of an AI copilot for a trading platform. Build evaluation frameworks, benchmarks, quality gates, monitoring, incident response, and model improvement workflows. Partner with engineering and product to create safe, auditable tool interactions and improve assistant behavior. Develop domain expertise in trading, risk, margin, execution, and portfolio reasoning while operating across model, backend, and frontend systems.

Build and manage consumer and business banking relationships through consultative conversations, tailored deposit, lending, credit, and investment solutions, proactive outreach, referrals, and digital banking education. Resolve account inquiries, support customer financial goals, maintain accurate documentation, and uphold risk and regulatory controls. Requires customer service and relationship-building experience, FINRA licensing, state insurance licensing, SAFE registration, Saturday availability, and completion of enhanced screening requirements.

Build customer relationships in a branch setting by identifying banking needs, opening accounts, processing transactions, supporting credit applications, recommending products, and making referrals. The role combines customer service, cash handling, outreach, digital banking support, compliance, and collaboration with branch teammates. Saturday availability is required, along with SAFE registration and adherence to loan-originator, risk, and regulatory requirements.

Manages commercial banking portfolios for clients with $100 million to $2 billion in annual revenue. Conducts complex credit investigations, evaluates loan information, supports underwriting and debt structuring, mitigates risk, ensures compliance, and leads projects and portfolio management teams. Collaborates with peers and managers, mentors less experienced staff, maintains internal and external partnerships, and supports commercial lending and treasury management activities.

Design, build, and support high-throughput, low-latency LLM inference and data pipelines; collaborate with data scientists to post-train and evaluate models; implement scalable, production-ready systems with strong testing, monitoring, and performance focus; mentor engineers and iterate on architecture, reliability, and user-facing AI applications.

Build and improve the Enterprise AI operating model through AI-enabled processes, operational reporting, knowledge management, stakeholder forums, intake governance, and asset registry oversight. The role translates complex program information into executive narratives, coordinates decision-making, enables cross-functional alignment, and continuously improves planning, prioritization, governance, communication, and execution mechanisms.

Provides proactive technical account management for strategic cybersecurity customers. Responsibilities include customer onboarding, platform training, health checks, issue resolution, escalation management, success planning, knowledge-base development, renewal-risk mitigation, and expansion support. The role serves as a customer advocate while collaborating with support, engineering, and sales teams. Candidates need cloud, application infrastructure, security, incident response, forensics, networking, and cloud architecture expertise, along with strong communication and customer-success skills.

Leads Rapid7’s global technical sales organization across Sales Engineering Specialists, Forward Engineering, Labs, and the Center of Excellence. Develops technical sales strategy, organizational roadmaps, succession frameworks, and engineering capabilities while partnering with sales leadership. Oversees integrations, demo infrastructure, enterprise platform architecture, ROI modeling, resource planning, and cross-functional execution. Drives organizational scaling, executive alignment, talent development, and measurable contributions to revenue and product innovation.

Supports customers using Rapid7’s Vector Command Red Team service through attack surface analysis, reconnaissance, OSINT, reporting, customer communications, and request prioritization. The role coordinates with Red Team, MDR, and MVM teams; conducts manual network and service reconnaissance; develops scripts to analyze attack surface data; monitors customer exposures; and performs entry-level external penetration testing. It also includes customer onboarding, monthly reporting, update calls, and translating technical security concepts for nontechnical stakeholders.

Leads Procore consulting engagements by translating client business needs into requirements, architecting and implementing solutions, designing quality processes, reviewing testing and budgets, improving workflows, supporting sales, and mentoring engineering and consulting teams. The role serves as a Procore subject matter expert, oversees quality management and SDLC methodologies, develops service offerings, and drives client satisfaction and team growth.

Leads and grows the US data science capability while remaining hands-on with coding, machine learning model development, deployment, and MLOps. Mentors data scientists and machine learning engineers, establishes workflows and standards, translates business problems into scalable solutions, and partners with product, data, and UK-based teams. The role emphasizes rapid delivery, production-grade systems, stakeholder communication, and Google Cloud-based model automation, monitoring, and deployment.

Build, operate, and support cloud resources for sports trading and core systems. Partner with product delivery teams and the central cloud platform team to deliver self-service automation, apply cloud standards, support stakeholders, and promote modern engineering practices. Responsibilities include end-to-end cloud resource delivery, public cloud adoption, infrastructure automation, platform operations, and continuous improvement across critical software products.

Provides enterprise technology support through phone, ticketing, and potentially chat channels. Troubleshoots hardware, software, network, access, and application issues; manages incidents and escalations; documents resolutions in ServiceNow or similar ITSM tools; analyzes trends and operations data; supports knowledge management, training, process improvement, and automation; and coaches junior analysts while maintaining customer service, security, and confidentiality standards.

Leads the design, automation, deployment, monitoring, and security of Azure cloud infrastructure. Builds Infrastructure as Code with Terraform, Bicep, or ARM templates; manages CI/CD pipelines through Azure DevOps and GitHub; and implements monitoring, logging, alerting, incident response, patching, and vulnerability management. Collaborates with engineering, development, architecture, security, and incident management teams to improve system reliability, scalability, performance, and cost efficiency.

Provide high-volume, phone-based technical support and first-line resolution for hardware, software, networking and access issues. Log and track incidents in ServiceNow/ITSM, escalate complex problems, suggest process improvements, and maintain security and confidentiality while working from an approved remote workspace on a set evening/weekend schedule.