Top Remote Jobs

Manage and grow sales across the Western U.S. territory for Abercrombie & Kent luxury travel products. Develop agency relationships, prospect for new business, meet revenue targets, deliver training and presentations, represent the brand at trade shows and consumer events, coordinate regional sales activities, maintain CRM and reporting systems, and provide market intelligence. The role requires 60% travel, regular driving, international destination knowledge, and residence in San Francisco, Seattle, Portland, or Denver.

Supports full-cycle recruiting, including sourcing, screening, interview coordination, candidate communication, offers, pre-employment requirements, onboarding, recruiting events, pipeline development, reporting, and ATS maintenance. Partners with hiring managers and HR to fill security and corporate roles, improve recruiting processes, ensure compliance, and provide a strong candidate experience. The remote role requires occasional domestic travel to career fairs, military transition events, conferences, and industry partnerships.

Leads global product marketing for PAYG phones, including positioning, portfolio strategy, launches, GTM execution, campaigns, digital acquisition, customer journey optimization, market intelligence, sales enablement, and cross-functional coordination. The role supports country teams and partners across emerging markets while optimizing marketing performance, customer adoption, usage, renewals, and revenue growth.

Leads and scales enterprise account management, driving retention, expansion sales, renewals, executive relationships, forecasting, and client satisfaction. Manages Account Managers, establishes performance KPIs, oversees complex negotiations, identifies cross-sell opportunities, and partners with Sales, Product, Support, Finance, and Client Success teams. The role also improves CRM processes, account health tracking, and operational scalability across complex healthcare enterprise accounts.

Supports brand innovation, marketing strategy, business analysis, and new product commercialization for Earth's Best. Leads cross-functional innovation projects, S&OP forecasting, growth and margin initiatives, brand planning, agency coordination, competitive analysis, syndicated data reporting, and financial forecasting. The role monitors marketing budgets, supports P&L reporting, and collaborates with Sales, Operations, Finance, R&D, Packaging Design, and external agencies in a remote environment requiring business travel.

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

Develops and executes satellite integration, verification, and validation activities across Flatsat, HWIL, SWIL, and simulator environments. Responsibilities include requirements traceability, test planning, automated TCL scripting for TERMA CCS5, formal test conduction, troubleshooting, data analysis, and test reporting. Supports satellite architecture, CONOPS, interface documentation, and requirements development while coordinating multidisciplinary engineering activities.

Leads regional sales strategy and execution across NE Ohio, driving revenue, margins, market penetration, account growth, and cross-selling. Recruits, coaches, and manages sales performance while enforcing CRM, pipeline, forecasting, and accountability processes. Develops key account plans, monitors market intelligence, collaborates cross-functionally, and aligns resources with business unit and company sales initiatives. Requires industrial or B2B sales leadership experience and up to 50% travel.

Lead the MLOps engineering team and roadmap supporting large-scale machine learning training and inference. Oversee cloud infrastructure, Kubernetes, distributed systems, observability, data pipelines, and inference modernization. Manage engineers, budgets, and cloud costs while partnering across machine learning, data science, product engineering, and infrastructure. Drive platform scalability, build-versus-buy assessments, stack refreshes, production reliability, and adoption across the organization.

Owns presales technical evaluations, customer onboarding, field troubleshooting, lab and acceptance testing, and first-line triage for enterprise storage products. Runs demos and POCs, performs on-site installs, maintains lab environments, validates releases, manages Jira triage, and documents procedures and release notes.