Top Remote Jobs in Houston, TX

Reviews and edits technical deliverables for a DoD cybersecurity risk management program. Ensures quality, accuracy, version control, repository submission, and on-time delivery of contract products. Coordinates with task leads, project managers, and stakeholders; maintains templates and monthly status reports; supports technical briefings and governance materials. The position is remote within the United States and requires a current DoD Secret clearance, U.S. citizenship, and occasional travel.

Administer the technical training program’s LMS, including user access, curricula, content, automated assignments, scheduling, attendance, records, compliance tracking, audits, onboarding, and reporting. Coordinate instructor-led, virtual, vendor, and site training across 24x7 operations. Maintain accurate certifications and training records, produce dashboards and audit evidence, troubleshoot learner issues, and support instructional designers, operations leaders, HR, and EHS.

Leads aerospace and defense business development, identifying government funding and shaping requirements before solicitations. Builds relationships with defense agencies, labs, congressional staff, and prime contractors; selects rapid contracting pathways; leads capture, proposals, pricing, and IP strategy; transitions prototypes into production and programs of record; forecasts pipeline and closes high-value government orders. Requires strong defense contracting knowledge, government networks, proposal-writing ability, technical aptitude, and approximately 50% travel.

Build and deploy production machine learning systems for personalized recommendations, fraud detection, risk scoring, ranking, classification, and anomaly detection. Own the full ML lifecycle, including mathematical formulation, feature engineering, training, evaluation, A/B testing, deployment, monitoring, and reliability. Develop low-latency real-time inference services using large-scale donor and transaction data, collaborate with Platform and DevOps teams, and mentor engineers on ML best practices and scientific rigor.

Leads advanced data science for pricing, marketing incrementality, customer lifetime value, retention, churn, and commercial decision-making. Designs experimentation and causal inference methods, builds predictive models, productionizes them in Databricks, reviews external analyses, and communicates findings to executives, investors, and the board. Serves as the senior technical authority for experimentation and ensures analyses are reproducible, rigorous, and decision-focused.

Owns organization-wide compliance frameworks, regulatory monitoring, authorization and accreditation readiness, audits, corrective actions, and obligations tracking. Evaluates emerging frameworks and productizes approved opportunities into sellable service offerings by defining scope, methodologies, pricing inputs, delivery artifacts, staffing needs, enablement, launch plans, and portfolio strategy. Partners cross-functionally with PMO, Sales, Marketing, Finance, RFP, and delivery teams.

Supports insurance sales squads by triaging inboxes, routing new deals, collecting property details and documents, scheduling follow-ups, maintaining CRM records, preparing manual quote requests, and coordinating bind handoffs. The role handles operational and customer communication tasks but does not interpret coverage, recommend carriers, present quotes, or bind policies. It is designed as an entry point toward a licensed insurance sales career.

Own end-to-end product and model launches, including planning, messaging, landing pages, announcements, campaigns, and enablement. Develop positioning for Voice AI products, translate technical capabilities into business outcomes, maintain sales materials, track competitors, produce customer proof, and identify growth opportunities. Partner cross-functionally with product, research, sales, growth, customer success, and brand teams while independently writing and shipping marketing assets.

Performs standardized content curation and metadata validation for written and audio content. Reviews accuracy and completeness, applies guideline-based corrections, documents defects in internal tools, escalates unclear or high-impact issues, and manages assigned queues to meet productivity and SLA targets. The role requires careful adherence to procedures, confidentiality and security practices, attention to detail, participation in calibration and training, and comfort reviewing potentially sensitive content.

Leads and scales the Central regional Sales Engineering team, coaching SEs, hiring, overseeing complex proof-of-concepts, and improving technical win rates. Partners with sales, product, and R&D on enterprise deal strategy, customer feedback, forecasting, and technical evaluations. Serves as a technical advisor to CISOs and security leaders on secure AI adoption while remaining hands-on in demos and POCs.