Top Senior Level Jobs in Denver & Boulder, CO

Leads product operations for an assigned Product leader, addressing ambiguous business and product problems through data-informed analysis. Drives cross-functional outcomes across discovery, roadmap planning, go-to-market, and post-launch activities. Aligns stakeholders on metrics, telemetry, and KPIs; synthesizes customer, stakeholder, and performance data into recommendations; promotes AI adoption; standardizes product operations practices; and coaches product teams through training, templates, and documentation.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Supports corporate tax compliance by reviewing tax provisions, returns, workpapers, computations, and client data. Researches federal, state, and local tax requirements; interprets financial statements and tax records; coordinates document collection and deadlines; responds to client inquiries; monitors tax law changes; and guides junior team members. The role also contributes to tax planning, filing accuracy, client recommendations, and regulatory compliance.

Owns the end-to-end lifecycle of enterprise data warehouse and business intelligence products, including vision, strategy, roadmaps, backlogs, requirements, user acceptance testing, and optimization. Partners with engineering, architecture, vendors, and business stakeholders to develop solutions, analyze data, manage incidents and changes, ensure compliance, and report performance. Leads product demos and grooming sessions, manages client communication, and mentors Product Specialists.

Leads strategic finance and business operations by developing investment cases, financial models, forecasts, scenarios, and performance analyses. Partners with executives and cross-functional teams to evaluate investments, track capital spending, identify risks, and improve business performance. Translates complex data into recommendations, dashboards, and presentations, while modernizing finance workflows through automation, AI-enabled tools, and improved planning and reporting processes.

Administer Red Hat Linux, AWS cloud infrastructure, open-source platforms, and scalable big-data environments. Build CI/CD pipelines, maintain systems, patch applications, manage backups and VPNs, troubleshoot production issues, and support security compliance. Lead AWS and cluster networking design, monitor systems, respond to incidents, coordinate vendors, and develop secure configurations across development, test, and production environments.

Manages a distributed team of Solutions Architects across India while serving as a player-coach on strategic sales opportunities. Leads technical evaluations, workshops, demonstrations, and proof-of-concept engagements; builds executive customer relationships; and translates technical requirements into business outcomes. The role also owns regional operating practices, forecasting, resource allocation, KPI tracking, cross-functional alignment, hiring, coaching, and team development across Sales, Channel, Marketing, Enablement, and Product Management.

Leads the engineering organization responsible for GitLab Dedicated, a single-tenant enterprise SaaS platform. Owns strategy, roadmap, reliability, compliance, infrastructure investments, customer migrations, and enterprise-grade SLAs. Oversees distributed engineering managers and teams across orchestration, resilience, control-plane APIs, public-sector platforms, FedRAMP readiness, AWS GovCloud, and migration tooling. Partners with executives, Product, Security, and Support while scaling the organization, improving operational efficiency, and incorporating AI-enabled engineering workflows.

Lead Cloudflare’s consumption strategy across go-to-market teams. Define consumption metrics, targets, roadmap, rules of engagement, and capacity-planning methods. Coordinate pricing, finance, product, sales, IT, and developer teams through launch and ongoing improvement. Guide field enablement, resolve cross-functional ownership and crediting issues, manage a specialist, and use AI tools to improve reporting and analysis. The role requires extensive GTM strategy or revenue operations experience, program leadership, sales planning expertise, and familiarity with usage-based business models.

Build and improve consumption and revenue target-setting models, scorecards, territory analytics, and governed data products. Validate revenue, ownership, billing, and CRM data; support field questions and Rules of Engagement; reconcile data with Finance and Billing; and partner with Geo Ops, RevOps, Engineering, IT, and Compensation. Use SQL, BigQuery, dashboards, and AI tools to automate analysis, improve data integrity, and scale recurring reporting and support.

Designs, integrates, tests, and supports spacecraft and ground systems. Responsibilities include analyzing subsystem performance, developing spacecraft commands and telemetry, managing flight software configurations, maintaining command and telemetry tools, and resolving anomalies. The role collaborates with cross-functional engineering teams in an on-site office, laboratory, production, or cleanroom environment.

Evaluates public-markets investment managers and strategies, conducts due diligence, maintains recommended strategy focus lists, and presents findings to investment committees. Supports advisor education, manager searches, client onboarding, RFPs, asset-class reviews, tactical opportunities, and new business presentations. The role also involves client meetings, conference participation, peer reviews, mentoring research associates, and developing investment recommendations and educational materials.

Own the design direction for Toast’s Marketing Tools, creating coherent experiences across campaigns, customer outreach, and performance measurement. Partner with product managers, engineers, researchers, and designers to redesign mature products, conduct research, use data to guide decisions, and prepare tools for AI-assisted workflows. The role requires end-to-end product design ownership, systems thinking, prototyping, and collaboration across marketing, CRM, website, ordering, and agentic product teams.

Own the Toast Delivery Services product roadmap, improving dispatch, order tracking, exception handling, refunds, and AI-assisted delivery operations. Partner with Guest, POS, Order Management, AI teams, restaurants, couriers, and external integration partners to deliver measurable outcomes for operators and guests. Shape real-time delivery experiences, proactive alerts, capacity matching, and trusted automation for restaurant delivery.

Define and evolve Toast’s consumer brand across product, marketing, and restaurant touchpoints. Build the visual and verbal identity system, expressive product design layer, motion, illustration, photography, and brand toolkits. Partner with product, engineering, marketing, and growth teams to deliver cohesive experiences across apps, campaigns, lifecycle communications, and physical restaurant interactions. Lead critiques, contribute hands-on execution, prototype in design tools or code, and ensure concepts reach polished, shipped results.

Architect and evolve Navan’s frontend platform across 20+ engineering teams. Build micro-frontend infrastructure, shared libraries, developer tools, AI-assisted coding workflows, testing standards, and reusable AI experience components. Drive framework migrations, performance optimization, reliability, security, and adoption of engineering standards. Collaborate with Security, AI platform, Product, and engineering teams while mentoring developers and measuring delivery, quality, reliability, and AI workflow outcomes.