Top Remote Senior Level Jobs in Dallas, TX

Consult with clients to improve operational efficiency via ERP and business application implementations. Facilitate Agile ceremonies, manage backlogs, support project delivery, provide training, and apply analytical reasoning to drive business transformation. Collaborate with teams on resource management, strategic planning, and technology integration to achieve client objectives.

Manage and grow customer relationships for Engineering Services & Platforms by driving product adoption, onboarding customers, running proactive account meetings, tracking success metrics, and relaying feedback to Product to inform roadmap and retention.

Manage and resolve attorney-represented auto and homeowner bodily-injury claims. Investigate coverage, liability, and damages; prepare for trials/hearings; manage outside counsel and billing; refer suspected fraud to SIU; ensure accurate reserves and file documentation; communicate with policyholders and stakeholders.

Lead underwriting for large, complex construction accounts across Primary Casualty lines (WC, GL, Auto). Provide technical underwriting guidance and referral approvals, align primary and excess placements, monitor portfolio performance, drive underwriting excellence, and collaborate with leaders and partners to develop strategies, products, and capability enhancements.

Lead design and delivery of scalable customer-facing features, services, and APIs that process real-time data and AI-powered insights. Build web experiences, contribute to LLM/AI workflows, ensure reliability through observability and rollout practices, and collaborate cross-functionally with Product, Design, ML, and platform teams.

Lead full-cycle recruiting for Go-to-Market roles (Customer Success, Solutions, Sales Ops), partner with senior leaders, use data to influence hiring, build proactive pipelines, employ creative sourcing, optimize processes, collaborate cross-functionally, and leverage AI and modern recruiting tools to improve quality and efficiency.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Lead and mentor a team of Customer Care Advisors to resolve complex customer and agent issues, manage escalations, conduct QA, analyze performance, implement process improvements, run projects, and represent the team in cross-functional meetings to drive overall CX performance and efficiency.

Lead digital transformation and AI-powered support initiatives to improve case lifecycle, self-service adoption, and customer outcomes. Own knowledge management (KCS), process optimization (Lean/Six Sigma), enablement, COE programs, and cross-functional partnerships with Engineering, Product, and Operations. Analyze case trends and metrics to drive product, process, and digital support improvements and reduce resolution times.

Build and operate an enterprise Databricks lakehouse: design and maintain Bronze and Silver ingestion/transformation pipelines (batch/stream/CDC), implement Unity Catalog and secure platform constructs, create CI/CD for data assets, enforce data classification and quality, and collaborate with domain teams to enable governed data for analytics.

Own and design the Databricks Gold and enterprise semantic layer: implement governed facts, dimensions, KPIs, and semantic models. Translate business KPI definitions into auditable transformation logic, enforce governance promotion paths, review models for correctness, coach domain teams, and ensure traceability, documentation, and compliance-aware data exposures for BI and self-service analytics.

The Manager of Customer Support will lead the team, manage escalated cases, drive operational excellence, and coach team members to improve customer outcomes.

Lead design, build, automation, and modernization of enterprise virtualization and hosting platforms (VMware and OpenShift Virtualization). Drive platform lifecycle, VM provisioning, performance/capacity, compliance, and incident postmortems. Collaborate with teams and vendors, write and maintain infrastructure code and automation, and participate in Agile delivery while guiding technical decisions, risk management, and mentoring engineers.