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

Leads the team building LTK’s foundational AI platform, including shared models, services, evaluation frameworks, and production LLM capabilities. Responsibilities include setting the AI roadmap, enabling internal engineering and product teams, overseeing deployment and operational performance, managing quality and cost, and establishing evaluation and monitoring practices. The role also involves hiring, coaching, performance management, and developing a high-performing data science and machine learning organization.

Own and grow a portfolio of strategic enterprise brand accounts by expanding investment, increasing platform adoption, and driving revenue retention. Develop account plans, uncover opportunities, manage expansion pipelines, lead pitches and negotiations, and build executive relationships. Use creator-commerce data and AI-powered insights to create growth recommendations. Partner cross-functionally with Product, Strategy, Analytics, Brand Success, and Operations while forecasting revenue and managing commercial risks. Regular travel and weekly in-person client engagement are expected.

Own and grow relationships with talent agencies and creator representatives. Drive creator onboarding, activation, engagement, retention, and revenue growth across agency portfolios. Analyze performance data, provide strategic recommendations, lead partner education, identify expansion opportunities, address challenges, and collaborate cross-functionally to improve creator and agency outcomes.

Leads LTK’s brand product portfolio, monetization strategy, and roadmap while managing and developing Product Managers. Owns discovery, pilots, launches, and iteration for products spanning creator partnerships, advertising, content licensing, social integrations, and performance measurement. Partners with Engineering, Design, Data, commercial, and partnership teams to validate customer demand, scale successful initiatives, and deliver outcomes for brand marketers and creators.

Defines LTK’s AI product vision and strategy across agent infrastructure, LLM evaluation, machine learning models, and knowledge graphs. Partners with ML, data science, engineering, and product teams to establish model requirements, evaluation frameworks, launch criteria, and responsible AI practices. Owns trade-offs involving quality, reliability, latency, cost, privacy, transparency, and human oversight while influencing senior leaders and driving AI-powered products for creators, brands, and consumers.

Lead LTK’s strategic brand partnerships sales organization, managing Client Partners across new business and key accounts. Own revenue growth, pipeline development, forecasting, account expansion, executive negotiations, and sales performance. Build high-performing teams through coaching and talent development while developing acquisition and account-growth strategies. Use creator-commerce data and AI-powered technology to strengthen client pitches and commercial recommendations, partnering cross-functionally with Product, Marketing, and Operations.

Lead the vision, strategy, and evolution of LTK’s creator experience and commerce products. Define creator workflows, identify AI-powered opportunities, analyze behavioral data, establish outcome metrics, and drive experimentation to improve engagement, retention, earnings, and product quality. Collaborate across Product, Engineering, Design, Data, and Creator Success while influencing senior stakeholders and guiding complex, multi-quarter initiatives.

Leads LTK’s Data Engineering team, owning technical direction, architecture, pipelines, data products, governance, quality, reliability, and platform modernization. Manages and develops engineers, drives roadmaps and complex initiatives, partners with cross-functional stakeholders, and balances scalability, security, performance, cost, and business priorities. Establishes engineering standards, improves operational practices, manages risks and dependencies, and builds trusted, reusable data capabilities supporting analytics, reporting, products, and AI use cases.

Lead architecture, technical strategy, and execution for complex, business-critical initiatives across the Brand platform. Partner with product, design, data, and platform teams to build scalable, reliable systems; establish APIs and system boundaries; reduce technical risk; improve observability and operational readiness; and mentor engineers and emerging technical leaders.

Own the strategic success of a portfolio of high-value brands by developing growth plans, optimizing creator marketing programs, analyzing performance, and delivering data-backed recommendations. Lead business reviews, manage senior stakeholder relationships, identify risks and expansion opportunities, and partner with Sales and internal teams to improve retention, adoption, ROI, and revenue outcomes.