Top Remote Senior Level Jobs in Houston, TX

Own analytical projects supporting revenue, profitability, and operational performance for the insurance business. Analyze funnels, campaigns, conversions, costs, and trends; build SQL queries and Looker dashboards; automate reporting with Python; define KPIs; validate data; and present actionable recommendations to stakeholders and leadership.

Drive new client acquisition and revenue through high-volume lead outreach, sales strategy, CRM pipeline management, client pitches, stakeholder engagement, pricing analysis, and cross-functional collaboration to meet sales targets.

Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance.

Partners with business stakeholders and AI leadership to identify and evaluate workplace AI use cases, quantify business impact, develop buy-versus-build recommendations, and track adoption, performance, and ROI. The role analyzes workflows and operational data, creates baselines, dashboards, business cases, vendor comparisons, and executive-ready recommendations to guide AI implementation and adoption strategies.

Leads demand and field marketing for US major enterprise accounts, aligning with sales, BDR, partner, and digital marketing teams to generate pipeline and bookings. Responsibilities include omnichannel campaign planning, ABM, digital demand generation, executive events, partner marketing, budget management, vendor coordination, performance reporting, and ROI optimization. The role owns strategies for Global 2000 accounts and uses analytics, intent intelligence, and marketing technology to drive full-funnel engagement and conversion.

Develop and execute enterprise sales strategies across the Northeast, focusing on new-logo acquisition and revenue growth. Prospect, qualify, cultivate, and close large technology deals while advising C-level, IT, and business stakeholders on Boomi’s platform. Manage the full sales cycle, collaborate with BDRs, channel partners, architects, and systems integrators, carry quota, build transformational account strategies, and participate in local field events.

Own global sales incentive plan administration and continuous improvement, ensuring accurate performance-to-payout calculations. Resolve commission inquiries, produce reporting and insights, manage UAT for plan changes, maintain system hierarchies and eligibility, and collaborate with Sales Operations, HR, and Payroll on employee changes. The role requires expertise in commission calculations, Spiff, Salesforce, advanced Excel, data analysis, plan design, and stakeholder communication.

Counsel II will negotiate and execute diverse vendor agreements, including technology, cloud, SaaS, marketing technology, data platform, contractor, lease, and payment processing contracts. The role partners with Procurement, Finance, Engineering, Product, Information Security, Privacy, and other teams; develops legal playbooks, templates, and training; improves contracting processes; manages high deal volume; and provides practical guidance on privacy, data protection, and commercial legal matters.

Lead CTV media buying and programmatic strategy across Ashley’s furniture and mattress brands. Optimize campaigns, budgets, CPMs, audience targeting, and frequency to drive online conversions and in-store sales. Manage publisher, streaming platform, ad exchange, and DSP relationships; negotiate Deal IDs and PMP agreements; oversee attribution, incrementality testing, clean-room analysis, impression deduplication, and offline conversion measurement. Partner with data science and creative teams to improve performance, unify fragmented vendor data, and achieve ROAS targets.

Manage the post-sale client lifecycle for health insurance customers, including implementation, workflow design, dashboard analysis, ROI measurement, project management, and relationship building. Serve as the primary client contact while coordinating with Sales, Product, Data Science, and Engineering. Ensure clients successfully adopt and maximize the value of predictive analytics solutions through strong communication, documentation, and ongoing engagement.