Top Remote Jobs in Hartford, CT

The Founding Revenue Manager for Adapt will represent the product, manage customer onboarding and success, and partner with the Chief Economist to drive product strategy.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

The Enterprise Account Executive will drive enterprise sales, build relationships with clients, collaborate on strategies, and manage multi-stage sales cycles.

Responsible for building new products, updating existing offerings, leading projects, mentoring, and ensuring quality and alignment in technical implementation. Collaborate with teams to drive projects from ideation to production.

Act as the technical presales lead for AI agent and cloud identity security across North America: scope engagements, design and run POCs and architectures across AWS/Azure/GCP, secure non-human and machine identities, create repeatable technical assets, and partner with account teams to close deals.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

Lead and execute enterprise IT strategy and operations for a remote-first environment. Oversee infrastructure, networking, endpoints, identity, SaaS, cybersecurity, AI governance, disaster recovery, vendor management, budgets, and staff development while enabling secure AI adoption and operational automations.

The Lead Product Marketing Manager will translate technical differentiators into customer-focused narratives, support sales enablement, and develop thought leadership in device intelligence.

As a Campus Growth Ambassador, you'll build awareness for Posh on campus and engage with students to foster community connections. Ideal candidates should be proactive and immersed in campus culture.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.