Top Remote Senior Level Jobs in Hartford, CT

The Operations Manager oversees government contracts, manages team performance, and provides training while ensuring quality service delivery and team development.

The Strategic Channel Account Manager will develop relationships with key channel partners, drive joint go-to-market strategies, and deliver sales training while managing marketing efforts and supporting industry events.

The Lead Software Solutions Architect designs cloud-native solutions, guides technical decisions, mentors teams, and drives innovation while ensuring quality and scalability.

The SVP of Marketing will lead strategy, demand generation, and product marketing for a $100M ARR health tech SaaS company, focusing on pipeline creation and customer lifecycle programs.

Lead product strategy and roadmap for mid-market CX and BPO solutions. Conduct customer discovery, prioritize omnichannel and AI investments, partner with Engineering, Design, Data Science and GTM to deliver features, drive launches and adoption, define success metrics, and influence executives using data-driven recommendations.

Provide remote support for EBS applications, troubleshoot issues, configure Oracle ASCP modules, and lead implementations while ensuring project delivery.

The Sr. Sales Executive will drive new business, build relationships with employers and brokers, and exceed sales quotas in healthcare navigation solutions.

Lead a team to build and scale driver-based revenue, spend, and net revenue forecasting models. Improve forecast accuracy by identifying data, systems, and process gaps, partnering cross-functionally to operationalize models in modern data and planning platforms, establish governance, and evolve forecasting from spreadsheets to scalable, repeatable workflows used for executive decision-making.

As an Enterprise Account Executive, you'll manage the full sales cycle, drive revenue growth, engage technical stakeholders, and influence the go-to-market strategy.

As a Staff Data Engineer, you'll lead the data engineering team, own the Databricks platform, build production pipelines, and engage with stakeholders while driving architectural judgement and maintaining platform quality.