Top Remote Senior Level Jobs in Reno, NV

Lead and build a Strategic Customer Success team, design high-touch success programs and playbooks, coach CSMs into consultative executive partners, define adoption and retention metrics, synthesize account insights into product feedback, partner cross-functionally, and experiment to create a scalable strategic CS motion for a multi-product AI productivity suite.

Manage strategic engagement with large enterprise customers to drive product adoption, value realization, renewals, and expansion. Build executive relationships, create Success Plans, lead business reviews, coordinate cross-functional resources, track adoption and health in Gainsight, and meet an annual ARR quota while leveraging AI-enabled tools.

Design, build, and maintain reliable infrastructure for Yext's SaaS platform, collaborating with engineering teams to enhance performance, security, and operational efficiency.

The Senior Sales Engineer will partner with executives to demonstrate the value of the product, mentor team members, and help refine pre-sales processes, while integrating AI into client conversations.

Lead engineering teams across mobile, web, and backend to create and scale new products, driving technical strategy and fostering a high-performance culture.

Analyze auction data to identify performance drivers and risks, collaborate with commercial teams, and provide actionable insights to optimize DSP outcomes.

As a Staff Backend Engineer, you'll design and operate backend services, lead technical initiatives, ensure reliability, and mentor team members in a remote-first setup.

Own end-to-end renewal negotiations for strategic, high-value consumption-based accounts. Forecast usage-driven renewals, build pricing and packaging, defend value with data, identify expansion opportunities, and quarterback cross-functional deal strategy to prevent churn and capture growth.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

Design, build, and maintain scalable Spark-based ETL pipelines and computed tables in a central data lake. Integrate structured and unstructured IoT, sensor, and external data for analytics, model training, and dashboards. Collaborate with Data Science, Analytics, and ML teams to ensure reliable, high-quality customer-facing datasets.