Top Sports Jobs in Denver & Boulder, CO

Leads product strategy, roadmap, and continuous improvement for PSA Vault and warehouse management systems. Oversees operational workflows including receiving, storage, inventory, fulfillment, and shipping while improving integrations with grading, marketplace, and logistics systems. Partners with Engineering, Operations, and business stakeholders to define requirements, prioritize initiatives, measure outcomes, and enhance customer experiences. The role also identifies AI and automation opportunities and coordinates cross-functional delivery across the Collectors ecosystem.

Develops strategy and operations for the Loyalty & VIP Growth organization by building roadmaps, scalable processes, KPI frameworks, competitive intelligence, and data-driven recommendations. Identifies AI and automation opportunities, builds productivity tools and agents, and partners cross-functionally to execute strategic initiatives and improve business performance.

The Account Executive develops and executes territory sales plans, prospects schools and youth organizations, builds customer relationships, conducts discovery calls and presentations, manages the sales pipeline, forecasts revenue, and closes new business. The role also represents Snap! Mobile at events, maintains CRM records in HubSpot, and works toward acquisition, retention, and quarterly and annual sales targets. A clean driving record and at least two years of sales experience are required.

Own the post-sale customer journey for youth sports organizations, including onboarding, adoption, account growth, renewals, and retention. Build relationships with club directors, leagues, coaches, and other stakeholders; monitor account health; create success and recovery plans; forecast renewals; and maintain CRM data. Help establish scalable account management playbooks and share customer insights with Sales, Marketing, Customer Experience, and Product. The role is remote-first and focuses on basketball and baseball/softball markets.

Develops mechanical test plans, procedures, and methods for SRAM products; builds and improves automated test systems for mechatronic devices; analyzes product behavior and test data; resolves testing issues; applies statistics and reliability principles; and communicates results to support product development.

Manages a team of 2–3 analysts while remaining hands-on with advanced SQL, dbt models, dashboards, and complex cross-functional analyses. Owns analytics quality, reporting automation, KPI visibility, stakeholder recommendations, and AI enablement for operations. Coaches team members, prioritizes requests, partners with data teams, and presents findings to senior leadership. The role requires strong analytical judgment, technical review skills, stakeholder management, and experience supporting operational functions such as customer support, fraud, payments, and workforce management.

Build and own simulation-based sports prediction and pricing models from research through production monitoring. Apply Bayesian inference, statistical modeling, market data, and trader feedback to estimate fair value across sports and market types. Collaborate with Trading, Engineering, and Product to deploy reliable models, improve calibration and performance, and support new launches. Provide technical leadership through code reviews, modeling standards, documentation, and mentorship while using AI-assisted workflows to accelerate development.

Plans, coordinates, and oversees projects from initiation through completion. Develops project plans, manages resources, vendors, scope, schedules, budgets, risks, and documentation, while measuring performance and escalating issues to management. Collaborates with clients, internal teams, and third parties to ensure timely, on-scope, and budget-compliant delivery.

Supports affiliate account managers with campaign strategy, execution, reporting, market research, partner recruitment, metric tracking, client requests, affiliate site audits, and partner communications. Prepares recurring reports, monitors program performance, and helps coordinate brand opportunities. The role requires analytical, quantitative, communication, organization, and collaboration skills, along with familiarity with affiliate marketing networks and Microsoft Office.

The Senior Data Scientist will analyze large-scale customer data, investigate behavioral questions, design and automate studies, and translate findings into actionable recommendations. The role includes maintaining analytics frameworks, documenting methodologies, writing white papers, and communicating insights across the company. Candidates should be independent, comfortable with ambiguity, and experienced with SQL and Redshift. Python or R, machine learning, Spark, A/B testing, and cross-functional experience are preferred.