Top Remote Senior Level Jobs in Dallas, TX

Lead and mentor a team of engineers, develop strategic roadmaps for application architecture, manage SaaS ecosystems, and build secure integrations and automations.

Lead analysis of business requirements and production specifications for technology applications. Define system scope, recommend solutions, document constraints, and direct process improvement initiatives for internal business groups.

Sell FourKites SaaS supply chain and logistics solutions to new and existing Fortune 1000 accounts. Manage 15-25 accounts, exceed quota, develop strategic account plans, map solutions to customer SOPs, coordinate cross-functional GTM efforts, update Salesforce, and leverage internal AI tools to drive growth and expanded ARR.

Lead Statara’s Data Products & Engineering function, owning Snowflake-based data infrastructure reliability and evolution, solution architecture for client engagements, pre-sales technical support, cross-functional alignment, and team leadership to deliver scalable data and analytics solutions.

Lead and coach a virtual network of independent, licensed Medicare insurance agents to drive revenue growth, monitor performance, ensure CMS compliance, collaborate with cross-functional teams, and improve sales processes and customer experience.

Drive expansion and revenue growth within existing enterprise accounts by positioning Skillsoft solutions to C-level buyers, managing complex sales cycles, collaborating with cross-functional teams, negotiating on value, demonstrating software, and building executive relationships to meet and exceed quota.

The SBA Loan Officer is responsible for developing new SBA loans, maintaining relationships with partners, conducting credit analyses, and ensuring compliance with regulations.

The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.

Design, build, and maintain scalable full‑stack web applications in a cloud containerized environment. Improve reliability and observability, ship features, refactor codebase, and collaborate with hardware, product, and design teams while promoting testing and knowledge sharing.

Lead technical sales cycles for enterprise AI agent deployments: discovery, solution design, demos, POVs, and technical close. Advise on agentic stacks (Databricks, Snowflake), design POVs with success criteria, build technical champions, run architecture reviews, and align technical strategy with commercial goals to drive revenue growth.