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

Build and lead Babylist’s customer support enablement program from the ground up. Own the knowledge base, SOPs, training, AI copilot workflows, and feedback systems supporting human and AI agents. Analyze support data to identify documentation gaps, improve chatbot coverage and resolution rates, increase copilot adoption, and reduce escalations. Partner cross-functionally with Customer Support, BizOps, Product, Analytics, and engineering-adjacent teams to establish scalable, AI-native support operations.

Own Babylist’s SEO, AEO, and GEO strategy across traditional search and AI-powered platforms. Lead the organic search roadmap, technical SEO, content standards, measurement, AI-driven systems, brand search attribution, and agentic commerce initiatives. Partner with Marketing, Engineering, Editorial, Merchandising, and Partnerships to increase visibility, citations, registry signups, and revenue.

Own replenishment, order writing, inventory forecasting, and open-to-buy planning for Furniture and Monitors. Manage dropship vendors, monitor availability and out-of-stocks, resolve fulfillment risks, and deliver sales and inventory recaps. Partner with Merchandising, Supply Chain, and Finance on assortment changes, new product introductions, and category health. The role requires advanced Excel, retail math, planning-system proficiency, strong vendor communication, and effective use of AI tools.

Own Babylist Media’s ad technology, inventory, yield, and offsite distribution strategy. Configure and optimize Koddi, establish capacity and prioritization rules, improve eCPM, fill, and utilization, and transition sponsorships toward CPM and self-serve buying. Lead outsourced ad operations partners, incident response, campaign delivery health, and distribution across Meta, TikTok, YouTube, Pinterest, and Babylist Connect. This player-coach role combines hands-on ad server administration, strategy, vendor management, and cross-functional communication.

Own the strategy, architecture, development, deployment, monitoring, and continuous improvement of production personalization and recommendation systems. Build custom embeddings, ranking models, and shared representations across feeds, search, and recommendations. Lead ambiguous problems from concept to measurable customer impact, establish AI evaluation standards, partner with product and data teams, make cross-team technical decisions, and coach senior engineers.

Leads a team of five experienced analysts and data scientists while personally owning strategic analytics across ecommerce, health, supply chain, inventory, fulfillment, and merchandising. Partners with executives, establishes KPI and reporting standards, prioritizes the analytics roadmap, and delivers actionable business insights. The role also advances AI-native, self-service analytics capabilities, strengthens data governance and quality, and builds a high-performing analytics culture.

Owns financial visibility and performance for the e-commerce business, including forecasting, budgeting, variance analysis, pricing and promotion ROI, margin reporting, accruals, dashboards, and executive and board presentations. Partners cross-functionally to ensure data integrity, establish financial processes, identify risks and opportunities, and implement AI-enabled improvements across FP&A workflows.

Lead Babylist's merchandise planning, allocation, and inventory strategy for $1B+ scale. Build and scale the Planning org, drive forecasting/allocation platform adoption, set operating standards and KPIs (in-stock, weeks of supply, aged inventory), own inventory deployment and drop-ship strategy across distribution, and partner with Merchandising, Supply Chain, and Data/Finance to improve customer experience and working capital.

Lead cross-pod technical direction and system design for high-scale backend services, embed AI-native development practices, collaborate with product and design, mentor engineers, and drive ambiguous initiatives from design through production.

Lead end-to-end user experience design for web and native mobile products, running research, building rapid prototypes and production frontend code, evolving the design system, leveraging AI-native workflows, and partnering with PMs, engineers, and analysts to drive user-centered, outcome-focused product improvements.