Top Senior Level Jobs in Denver & Boulder, CO

Lead development and technical strategy for enterprise products, managing multiple engineering teams. Drive architecture, design, and implementation of high-performance, high-availability SaaS web delivery platforms. Partner with product, sales, and customers to define solutions, hire and mentor engineers, enforce security and best practices, and deliver features using scaled agile and TDD practices.

The Senior Release Train Engineer will lead Agile delivery, oversee release management, analyze metrics, foster team collaboration, and drive continuous improvement in software product delivery.

The Senior Manager in Quality Engineering at PwC manages quality assurance efforts, leads projects, interacts with clients, and mentors teams to maintain high software quality standards.

Develop and productionize safety and performance metrics for autonomous driving by analyzing large-scale vehicle, simulation, and external data. Build scalable data pipelines, interactive visualizations, and analytics infrastructure to support safety assessment, monitoring, investigations, and stakeholder decision-making. Apply engineering judgment, signal processing, and statistics to derive analysis-ready features and evidence for launch readiness.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

Partner with sales leadership to improve forecast accuracy, analyze pipeline health, build quota and territory models, create KPI dashboards, optimize GTM processes, and present data-driven recommendations to executives to drive revenue and operational efficiency in a SaaS environment.

Lead and evolve Affirm's enterprise risk management program, strengthen governance and core risk programs (operational, third-party, business continuity), and build risk analytics and reporting. Advise senior leadership on risk for new products and strategic decisions, drive cross-functional alignment, and scale a high-performing risk team to support the company’s growth.

The Analytics Manager will manage credit strategies for the Shopify portfolio, leveraging data analytics, collaborating with cross-functional teams, and enhancing underwriting frameworks.

The role involves strategizing and architecting digital commerce experiences, managing data structures and models, and supporting AI integration. Responsibilities include partnering with product teams, designing customer journeys, and running experiments to improve commerce performance.

Lead and ship native iOS and Android apps: set technical roadmap, enforce testing and quality standards, manage CI/CD and store releases, mentor engineers, use AI-assisted development, and respond to mobile production incidents.

Lead translation of strategic direction into scalable sales and retention initiatives across Performance Management. Drive cross-business projects, provide analytical and project management support for account planning, product adoption, performance visibility, and revenue retention. Partner with enablement, training, finance, and analytics to execute initiatives, manage risks, and improve decision-making. Remote role requiring Eastern Time Zone residency and up to 25% travel.

The Growth Systems Business Analyst III role involves aligning business needs with IT solutions, handling system enhancements, and collaborating with stakeholders.

Lead CFO-level client advisory engagements in construction, overseeing teams and providing strategic financial insights, while mentoring staff and managing change.

Lead and perform financial statement and SOX audits, design audit procedures, test internal controls, identify and research accounting issues, communicate with clients, and mentor junior staff. Participate in pre-audit planning and execute audits under GAAS, GAAP, PCAOB, AICPA standards.

Lead R&D FP&A: own forecasting, budgeting, variance analysis, and cloud (AWS) cost modeling; evaluate AI investments; build decision-ready models; support executive and board reporting; improve forecasting, tooling, and data quality.