Top Remote Tech Jobs

Manage and optimize paid media campaigns for the UK market across search, social, and native platforms. Own performance metrics including CPL, lead volume, lead quality, and ROI. Collaborate with account management, data, CRO, and UX teams; improve campaign structures, bidding, targeting, creatives, and landing flows; and deliver regular KPI reporting.

Support CRO programs by coordinating experiment launches, assisting with setup and QA, managing client communications, conducting research and analysis, and keeping cross-functional projects organized to improve eCommerce optimization outcomes.

Leads product strategy, profitability, market expansion, product filings, analytics, and operational improvements for California personal auto insurance. Manages Product Managers and Analysts while partnering with Actuarial, Underwriting, Compliance, IT, Business Intelligence, and executive leadership. Oversees reporting, data analysis, testing, automation, regulatory compliance, and cross-functional initiatives to improve market share and business performance.

Lead finance and accounting for a growing rewards-technology business. Build financial models, support fundraising and partner deal decisions, oversee revenue recognition, billing, reconciliations, bookkeeping, close, reporting, tax coordination, controls, cash forecasting, and M&A accounting integration. Partner with the CEO, investors, enterprise customers, accountants, auditors, and tax advisors while ensuring accurate, timely, investor-ready financials.

Leads the engineering organization responsible for modeling, rendering, simulation, distributed computing, and quality. Owns platform roadmap execution, manages engineering managers, accelerates AI-assisted software development, improves delivery and testing processes, and balances zero-to-one product development with ongoing releases. Partners with Product and represents platform engineering to company leadership. Requires deep technical credibility and a proven record of organizational transformation, product delivery, and engineering leadership.

Own retention, renewal, and expansion for a portfolio of health system partnerships. Build executive relationships, define clinical, operational, and financial success metrics, lead business reviews, identify risks, support adoption, and represent customer needs in product and data science decisions. Help develop scalable customer success playbooks in a fast-growing healthcare AI company.

Own electrical application engineering for prefabricated data-center platforms, including power distribution, switchgear, MCCs, UPS systems, transformers, controls integration, documentation, vendor requirements, BOM accuracy, and design-risk evaluation. Translate customer specifications into manufacturable solutions, support prototyping and FAT/SAT testing, troubleshoot first-article builds, and coordinate with mechanical, controls, sales, supply chain, operations, vendors, and fabricators. The role is remote with up to 25% travel and requires independent senior-level technical ownership.

Build analytical frameworks, measurement methodologies, and decision support to drive enterprise decisions across marketing, loyalty, pricing, menu, media, and operations. Mine and integrate customer, transaction, digital, and operational data; develop segmentation, predictive models, and dashboards; lead test-and-learn, incrementality, and forecasting efforts; translate analysis into clear business recommendations and scalable decisioning tools.

Lead CMS and HHS market development by shaping strategy, building government and industry relationships, managing qualified pipeline, developing partnerships, and connecting opportunities with delivery capabilities. The role requires deep CMS procurement knowledge, federal technology or consulting business development experience, cross-functional collaboration, strategic judgment, and effective use of AI-enabled tools. This is a highly autonomous, remote senior leadership position focused on sustainable growth and mission-aligned work.

Leads the data science platform and machine learning strategy, building data marts, predictive models, MLOps infrastructure, and analytics capabilities. Analyzes healthcare claims, clinical, workflow, and operational data to risk-stratify patients, assess clinical program impact, support dashboards, and improve patient and provider engagement. Collaborates with clinical, operations, finance, product, executive, and technology teams while serving as a trusted analytics expert for a business workstream.