Top Wearables Industry Jobs in Denver & Boulder, CO

As a Sales Associate, you'll deliver personalized shopping experiences, drive sales, build customer relationships, and support daily store operations.

The Sales Engineer role involves guiding integration of advanced wireless networking solutions for unmanned systems, addressing technical challenges, and ensuring successful deployments while maintaining CRM documentation and customer relations.

Provide on-site B2B sales support and fittings, promote the CustomFit program, assist sales team to reach goals, address customer objections and complaints, and collaborate with account and inside sales teams.

Manage assigned customer accounts by monitoring payments, calling and emailing customers, resolving discrepancies, negotiating payment arrangements and credit terms, approving orders, maintaining accurate account records, and supporting business-building and risk-management efforts.

As a Senior Sales Engineer, you'll secure technical wins, build relationships with stakeholders, influence product innovation, and drive customer success in an enterprise sales environment.

Provide welcoming, on‑floor customer service to drive sales and create seamless shopping experiences. Assist with store operations and product tasks, share customer feedback, collaborate with team members, and maintain brand standards while handling merchandise up to 40 pounds and working flexible hours including nights, weekends, and holidays.

Own sell-in and sell-thru, inventory and order flow, and revenue growth for designated key accounts. Build seasonal plans, manage replenishment and assortment, present product, run promotions and reviews, collaborate cross-functionally, and travel to accounts and events (up to 50%).

Support tech and lifestyle clients with media and influencer relations, pitching, list building, research, reporting, client communications, and strategy development. Coordinate coverage, track hits, and grow into more strategic, client-facing responsibilities.

Own end-to-end production ML systems for search, recommendations, and ranking: architecture, training pipelines, inference, deployment, monitoring, drift detection, and retraining. Partner with data, product, and backend teams to ship reliable, low-latency ML-driven product experiences and set standards for ML infrastructure and model health.

Responsible for product integrity in design and manufacturing, prepares fit specifications, and collaborates with designers and factories to meet product briefs.