Top Senior Level Jobs in Denver & Boulder, CO

Lead product vision, roadmap, and delivery for Product and Services Analytics. Drive requirements, prioritize backlog, partner with engineering on technical solutions, define KPIs, engage executives and stakeholders, mentor junior product staff, and guide go-to-market and documentation for analytics features in a cybersecurity context.

Design, build, and operate large-scale LLM infrastructure and data platforms for training, fine-tuning, and inference. Provision GPU clusters, optimize GPU utilization, implement model lifecycle management, deploy inference frameworks, create evaluation and observability systems, and collaborate with data scientists to productionize AI capabilities. Mentor engineers and enforce MLOps/DataOps best practices.

Design, build, deploy, and iterate production-ready AI agents and LLM-based solutions that integrate with enterprise workflows. Rapidly prototype, evaluate, and optimize agents for performance, cost, and adoption. Partner across functions to redesign workflows, contribute to an AI Center of Excellence, and ensure responsible, secure, and scalable agent development.

Design and scale distributed, high-availability systems and platform architectures. Define frameworks, tooling, and standards, contribute hands-on to prototypes and production, guide teams on reliability, observability, and operational excellence, and align technical decisions with product and business priorities.

Lead design, launch, and scaling of targeted partner programs to accelerate regional growth, product adoption, incentives, and strategic collaborations. Partner with cross-functional teams to build operational processes, measure program effectiveness, iterate on performance, and convert initiatives into repeatable, scalable motions.

Lead architecture and delivery of AI-native features for a multi-tenant SaaS platform. Drive cross-functional technical initiatives, design scalable microservice systems, integrate LLMs and agent frameworks, set engineering standards, and mentor engineers to elevate technical execution.

Lead inventory accounting for an e-commerce/retail business: manage inventory valuation and reserves, review dropship and freight costs, perform reconciliations and flux analysis, support month/quarter/annual close and audits, partner with FP&A and Supply Chain, drive process improvements, mentor staff, and support system and special projects.

Manage a technical team focused on Git and Git-related infrastructure, balancing upstream open-source work with GitLab priorities. Drive long-horizon scalability, performance, and architectural projects while fostering technical rigor, ownership, mentoring, and strong asynchronous communication across distributed teams.

Lead CX Strategy to shape post-sales direction across Customer Success, Renewals, and Professional Services. Own planning, coverage/segmentation, KPI frameworks, and cross-functional strategic programs. Drive customer lifecycle design, voice-of-customer integration, and business cases for systems, tooling, and reporting to improve retention, expansion, adoption, and long-term customer value.

Lead BizOps & Strategy for New Products Specialist Sales, own multi-year scaling plans, reporting, forecasting, territory design, and cross-functional initiatives. Manage analysts, develop executive-ready narratives, pull and analyze data from multiple sources, leverage AI/automation, and drive GTM, adoption, and performance improvements globally.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Develop, train, and optimize computer vision and ML models (particularly video-based safety) using petabyte-scale camera and sensor data. Deploy and optimize models for backend and edge inference, collaborate with cross-functional teams, and translate customer needs into scalable ML/CV solutions.

Design, build, deploy, and maintain scalable, resilient backend services for a Voice AI platform. Lead cross-cutting projects, make architectural decisions, integrate AI platforms, implement observability and evaluation frameworks, and mentor engineers.

Design and implement Kotlin backend services and end-to-end systems for Toast POS device management. Lead technical designs, estimations, performance optimization, cross-team collaboration, and software quality practices including modern testing and observability. Mentor peers and drive product roadmap alignment with product, hardware, and QA stakeholders.

Lead and mentor a team building LeafLink’s eCommerce marketplace. Provide technical leadership, set architecture and delivery plans, coordinate cross-team dependencies, manage incidents, recruit talent, and balance product delivery with platform health, scalability, security, and developer productivity.

Own end-to-end voice platform migration and scaling: LiveKit migration, real-time turn-taking, VAD, SIP/WebRTC, multi-agent handoff, training/fine-tuning voice models, inference cost optimization, and retrieval-based grounding using Supabase/pgvector.