Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Lead multiple engineering teams responsible for Fetch’s advertiser experience and Ad Manager platform. Set technical strategy, guide architecture, modernize and migrate established tooling, and deliver scalable advertiser workflows for campaign planning, buying, budgeting, and reporting. Partner with Product, Design, Sales, GTM, and AdOps to align priorities and outcomes. Develop engineering leaders, improve delivery effectiveness, and shape AI-assisted advertiser experiences while maintaining reliability, security, transparency, and user control.

Leads enterprise client relationships, retention, renewals, upsells, and revenue growth. Owns strategic partnerships, executive communication, campaign execution, onboarding, reporting, billing, and client performance optimization. Uses campaign data, dashboards, AI tools, and automation to generate actionable recommendations and improve efficiency. Mentors team members, supports hiring, collaborates cross-functionally, and drives client presentations, QBRs, and budget expansion.

Lead product design for Fetch’s Receipt & Rewards experience, connecting receipt capture, account linking, recognition, matching, and rewards. Define design strategy for complex, AI-enabled systems; improve usability, accessibility, trust, and experience quality; and balance user needs, data quality, business goals, and technical constraints. Partner with Product, Engineering, Research, and Data Science, drive cross-functional alignment, shape multi-quarter initiatives, and mentor designers.

Own Fetch’s on-platform advertising measurement strategy, including event taxonomies, attribution, incrementality, reporting, and data pipeline standardization. Lead migration to standardized ad event infrastructure, define measurement methodologies such as multi-touch attribution and geo lift, and partner with engineering, data science, advertisers, and third-party measurement providers. Establish scalable measurement standards and ensure new ad products are instrumented and attributable from launch.

Lead a team delivering product and business analytics for Fetch's commerce and shoppable experiences. Own prioritization, experimentation, measurement, KPI dashboards, and stakeholder-facing insights to inform product, marketing, and commercial decisions. Manage and develop analysts while partnering cross-functionally to ensure data quality, repeatable analyses, and actionable recommendations.

Build and deliver Android features for rewards discovery, shoppable content, partner integrations, and purchase attribution. Develop within a large modular Kotlin and Jetpack Compose codebase, collaborate with product, design, backend, data, and marketing technology teams, and improve performance, reliability, engagement, and rewards redemption through testing, profiling, and scalable architecture.

Build, ship, and maintain scalable iOS features used by millions of users. Responsibilities include writing Swift code with modern iOS frameworks, designing reusable components, managing asynchronous workflows, improving performance and reliability, debugging production issues, contributing to architecture and testing strategies, participating in code reviews, and collaborating with product, design, and engineering teams through release and iteration.

Develop and release Android features for rewards discovery, shoppable content, partner integrations, and purchase attribution. Build within a large modular architecture using Kotlin, Jetpack Compose, MVVM, Hilt, Room, and modern Android tooling. Collaborate with product, design, backend, data, and marketing technology teams while improving performance, reliability, engagement, and rewards redemption across Fetch’s mobile platform.

Leads Fetch’s public relations and external communications strategy, creating technology, AI, consumer behavior, and commerce narratives. Identifies high-impact earned media and thought leadership opportunities, builds journalist relationships, manages media initiatives, and translates complex product and data developments into compelling stories. Partners with Product, Engineering, Data, Marketing, and executives to amplify launches, partnerships, cultural moments, and brand positioning.

Own the production lifecycle of ranking and recommendation models, including training, validation, deployment, monitoring, retraining, versioning, rollback, and retirement. Build scalable Spark-based feature and data pipelines, orchestration workflows, model hubs, observability, CI/CD, and reliability standards. Partner with data science and engineering teams to improve model quality, deployment speed, infrastructure efficiency, and operational resilience while mentoring teammates.