Top Remote Senior Level Jobs

Field-based consultant supporting financial advisors and branch leaders with organic growth. Responsibilities include identifying opportunities through book reviews and analytics, developing actionable growth plans, executing initiatives, coordinating firm specialists, managing advisor relationships, and driving accountability through conversion. The role requires frequent branch travel, strong relationship-building and influencing skills, wealth management knowledge, CRM proficiency, and comfort translating data into business actions.

Owns full-cycle recruiting for Director-level, clinical, regional, executive, and specialized leadership roles. Responsibilities include sourcing passive candidates, advising executives and hiring managers, managing interviews and offers, coordinating onboarding with HR and IT, facilitating orientation, maintaining leadership talent pipelines, and supporting talent acquisition projects, process improvements, compensation research, and interview training.

Develop tourism strategies and commercial cases for sports, destination, resort, and tourism-board projects. Research visitor markets, seasonality, events, and destination marketing; shape pitches; advise on sports activations; define measurable campaign outcomes; support reporting; and participate in client workshops. The consultant will work remotely on an ad hoc freelance basis, contributing tourism expertise to pitches and live campaigns and making relevant industry introductions.

Expands Aqua Finance’s powersports dealership network and increases adoption of consumer financing programs across an assigned territory. Responsibilities include prospecting and onboarding dealers, managing relationships with dealership leaders, growing financing volume, conducting sales visits and presentations, developing territory plans, supporting dealer training and issue resolution, monitoring market trends, preparing forecasts, and representing the company at industry events. The role requires approximately 75% travel.

Owns the infrastructure and production lifecycle for product and marketing machine learning models. Responsibilities include real-time model deployment, feature pipelines and stores, monitoring and alerting, CI/CD, retraining infrastructure, marketing model operationalization, data pipelines, ad-platform feedback loops, and dependency management. The role bridges data science and engineering while mentoring teammates and making pragmatic architecture decisions.

Own the full B2B software sales cycle from qualification through contract close. Conduct discovery, tailor demonstrations with Solutions Engineering, manage multi-stakeholder and executive relationships, navigate RFPs, negotiate pricing and terms, maintain accurate forecasts, and ensure strong implementation handoffs. Manage 25–30 active opportunities with 3–8 month sales cycles while maintaining CRM discipline and providing competitive and product feedback.

Architect, build, and deploy production-grade AI/ML platforms and LLM/RAG solutions. Lead system design, CI/CD and Terraform-based IaC, ensure reliability and monitoring, mentor engineers, run incident response, and prototype emerging AI technologies.

Lead the Machine Learning Ranking team, managing data scientists and ML engineers while driving career development, technical quality, and product outcomes. Partner with Product Management and Decision Science to define roadmaps, metrics, and marketplace experiments. Oversee machine-learning pipeline development, model deployment, and performance monitoring. Provide technical guidance on ML and AI applications, evaluate engineering work, and promote scalable, reproducible practices across the team.

Lead the Machine Learning Ranking team within ZipRecruiter’s Marketplace organization. Manage and develop senior data scientists and machine learning engineers, shape product roadmaps with Product and Decision Science, guide technical decisions, build and deploy ML pipelines, and monitor model speed and accuracy. The role requires strong software engineering leadership, ML expertise, coding ability, and experience applying embeddings, reproducible pipelines, and established ML frameworks to business problems.

Leads strategic storytelling for clinical development pursuits, shaping bid defense presentations, proposals, storyboards, win themes, and executive messaging. Partners with business development, clinical operations, medical, biometrics, and subject matter experts to translate complex information into differentiated customer narratives. Coordinates contributors, coaches presenters, aligns pursuit materials, incorporates competitive intelligence, and maintains reusable narrative assets to improve engagement and win rates.

Designs and scales front-end frameworks, shared component libraries, and full-stack services for GoodLeap’s contractor platform. Collaborates with product managers, designers, and engineers to deliver secure, reliable, high-performance solutions across the software lifecycle. Leads initiatives, mentors junior engineers, applies AI-driven development practices, and troubleshoots production issues. Requires strong TypeScript, React, Tailwind, AWS, database, API, microservices, and system design experience.