Top Remote Senior Level Jobs in Wichita, KS

Own the complete B2B SaaS sales cycle, from outbound prospecting and inbound qualification through discovery, demos, negotiation, and closing. Sell construction management software directly to residential construction business owners, build pipeline independently, forecast revenue, and consistently achieve quota. Partner with the founder to shape go-to-market strategy, messaging, sales processes, and playbooks while providing market insights to improve the product and positioning.

Investigates insurance claims for staged losses and fraud by analyzing CCTV, dashcam footage, photographs, statements, engineering reports, and other evidence. Reconstructs incidents, evaluates authenticity and causation, identifies inconsistencies and fraud patterns, and produces objective written assessments for insurance and SIU professionals. Contributes investigative expertise to AI training and evaluation datasets while collaborating remotely with project stakeholders.

The Solutions Architect, FPGA will assess client requirements, architect FPGA-based solutions, estimate project work, identify risks and mitigations, and develop technical proposal content. The role involves system-level design, client presentations, solution partitioning, FPGA architecture, and occasional project execution. Candidates will collaborate across hardware, embedded software, verification, and other engineering teams while supporting product development and research initiatives.

Own and scale paid marketing across Meta and Google Ads, expanding into TikTok and LinkedIn. Responsibilities include ad copywriting, creative testing, UGC creator management, KPI optimization, attribution analysis, funnel optimization, and cross-functional collaboration to drive revenue growth. The role requires managing substantial advertising budgets and improving performance metrics such as CPA, ROAS, CTR, and CAC.

Own strategy, execution, optimization, reporting, and growth for a portfolio of paid media clients across Google, Meta, LinkedIn, and TikTok. Lead client relationships, campaign testing, performance analysis, cross-functional collaboration, sales enablement, and account expansion. Mentor junior teammates, manage deliverable quality, contribute to media best practices and product development, and occasionally supervise paid media staff.

Leads application discovery, migration planning, dependency tracking, cutover execution, change management, and stakeholder coordination for enterprise cloud migration from on-premises data centers to Azure and AWS. Owns assigned applications from planning through acceptance, develops runbooks and readiness materials, manages risks and issues, and leads technical delivery teams during migration windows.

Build, train, evaluate, and deploy deep learning models for credit modeling and loss prediction. Conduct representation learning experiments, integrate models into ML pipelines, and own projects from hypothesis through measurable business outcomes. Collaborate with data scientists, engineers, and product partners, communicate findings, and develop agentic tools that accelerate data science workflows.

Leads multiple Agile teams across concurrent projects, facilitating Scrum ceremonies, scaled Agile events, PI Planning, capacity planning, dependency management, and delivery forecasting. Coaches teams and stakeholders on Scrum, SAFe, Lean, and Kanban practices while driving continuous improvement, Agile transformation, team maturity, and predictable delivery outcomes.

Own the full B2B SaaS sales cycle, including outbound prospecting, pipeline generation, discovery, product demonstrations, negotiations, forecasting, and closing enterprise and mid-market opportunities. Partner with GTM engineering to develop AI-driven sales motions, provide market feedback, and collaborate with Customer Success on durable account plans. The role requires consistently meeting revenue targets while selling to complex buying groups and supporting both near-term and strategic deals.

Define and scale autonomous agricultural machinery products through customer research, experimentation, roadmap prioritization, system requirements, and cross-functional delivery. Partner with engineering and commercial teams on hardware, embedded software, computer vision, machine learning, navigation, controls, and mobile solutions. Use data, field feedback, and performance metrics to improve adoption, customer confidence, mission quality, and product impact.