Top Senior Level Jobs in Denver & Boulder, CO

Lead delivery of complex, multi-workstream professional services engagements for large strategic customers. Define program strategy and methodology, manage roadmaps, dependencies, budgets and risks, drive adoption and change management, and communicate outcomes to executive and technical stakeholders.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Lead development and evaluation of AI products for medical professionals using large-scale datasets. Create product and client-facing analytics, influence data team strategy, and collaborate with product managers, analysts, and engineers to execute data projects from ingestion through analysis to recommendations.

Lead brand voice and messaging consistency across press, blog, and marketing materials. Ghostwrite for executives, edit internal/external content, develop thought leadership, optimize for SEO, manage editorial calendars, run content audits, use analytics to track performance, and produce white papers.

Own and drive the end-to-end commercial performance of two DTC growth brands, including merchandising, pricing, bundles, assortment, and promotional cadence. Build and run an experimentation roadmap to improve conversion, AOV, attach rate, and margin. Coordinate cross-functionally with supply chain, growth & marketing, product, and CRM to deliver launches, campaigns, and brand expression. Be measured on measurable business outcomes and scale winning tests and initiatives.

Partner with HRBPs, TA, and Engineering/Product leaders to advise on compensation across the employee lifecycle. Use market data, internal talent insights, and AI tools to recommend pay, run annual comp and equity planning, manage promotions and offer decisions, evaluate global programs, build compensation tools/dashboards and automated reports, and create communications and training to drive adoption and equity.

Develop and maintain application software: participate in requirements analysis and design, implement code from specifications, follow development processes, create requirements/design/test documentation, and test applications per methodology.

Design, implement, and maintain DevSecOps pipelines and automated deployments using containerization, IaC, CI/CD, and security tooling. Integrate static analysis, enforce automation across hybrid deployments, monitor metrics, troubleshoot infrastructure, and support release configuration management in Agile environments.

Design, implement, and maintain DevSecOps pipelines and automated deployments using CI/CD, IaC, container orchestration, and security tooling. Integrate static analysis and security into pipelines, build metrics dashboards, troubleshoot infrastructure, and work with engineers to automate tests and configurations. Requires active TS/SCI, CI polygraph eligibility, and 8+ years' experience.

Lead end-to-end global equity and ESPP operations, optimize and automate multi-system workflows, ensure SOX compliance and ASC 718 modeling, partner with Legal/Finance/Tax, support executives and Compensation Committee materials, and develop employee equity education.

Lead design, implementation, and management of global benefits, wellness, and leave programs across multiple countries. Execute benefits strategy, perform financial modeling and cost analyses, manage vendors and brokers, optimize leave administration and open enrollment, and ensure cross-functional compliance with international labor laws. Partner with Legal, Payroll, and Finance to scale competitive, compliant programs that support employee well-being.

As a Senior Fullstack Engineer, you'll contribute to backend development for Toast's New Ventures team, collaborating on architecture and launching MVPs while addressing unmet operator needs.

Design, build, deploy, and operate a high-concurrency, resilient configuration and publishing platform. Lead cross-team projects, set technical direction, improve engineering productivity, optimize performance, and maintain end-to-end ownership of distributed systems at scale.

Build and productionize agentic workflows and RAG pipelines, integrate LLMs into the GTM stack, and develop high-performance backend services and ML pipelines. Connect quoting engine, Salesforce, and data lakes, solve synchronization and architectural challenges, and ensure observability, scalability, and reliability for sales automation tools.

Lead the evaluation and data-quality strategy for advanced AI, vision, and perception systems. Define metrics, failure taxonomies, and human-review protocols; translate evaluation findings into data strategy, experiment priorities, and product release decisions. Partner with model, simulation, and platform teams to drive production-readiness and continuous quality improvements.

Lead development of map-grounded world foundation models and generative scenario synthesis for AVs. Own end-to-end ML lifecycle, bridge generative models with classical simulators, define synthetic data quality and validation frameworks, run POCs with partners, and enable sim-to-real strategies to improve perception and planning.

Lead strategy and execution for foundational platform products (data & analytics, enterprise search, auth/entitlement/billing), own portfolio P&L, establish governance and cross-team planning, drive adoption, mentor PMs, coordinate with Google Cloud partners, and deliver measurable commercial outcomes while enabling AI-native workflows.