Top Tech Jobs & Startup Jobs in Hartford, CT

The Policy Review Specialist focuses on retaining policyholders by managing renewals, conducting outreach, analyzing data, and suggesting policy adjustments to improve customer retention and sales opportunities.

Oversee R&D and collaborate with business partners to enhance learning strategies. Responsible for strategic alignment and leadership in learning initiatives.

The DevOps Engineer will build infrastructure for sequencer software, manage cloud environments, and assist with CI/CD pipelines.

This job posting invites candidates to submit resumes for future opportunities, focusing on potential fit with the company.

Build and scale the revenue operations backbone by ensuring data integrity across Salesforce and BI tools, delivering standardized revenue reporting and insights, managing deal desk processes, documenting sales SOPs, driving automation and AI-enabled workflows, and leading cross-functional projects to improve accuracy, efficiency, and scalability for direct and partner-led retail media revenue streams.

Own product roadmaps and execution for fintech products; gather customer insight, define requirements, collaborate with engineering and operations, drive launches, measure performance, and iterate to deliver business value.

Lead end-to-end delivery of complex technology projects using formal PM frameworks and Agile/Scrum. Establish governance, integrated plans, risk management, executive reporting, cross-functional alignment, vendor management, and transition to operations. Facilitate Scrum ceremonies and governance forums, drive accountability, and ensure projects deliver agreed strategy and value.

Lead Workday integrations and manage services for multiple global accounts, ensuring operational efficiency and client satisfaction.

Lead strategy and roadmap for DTNs upstream intelligence portfolio, especially Farm Intelligence. Conduct customer discovery, define product metrics, prioritize features, and partner with Engineering, Design, Data Science, and Commercial teams to deliver data-intensive, AI-enabled B2B SaaS products. Drive launches, adoption, and continuous optimization through experimentation, analytics, and stakeholder alignment.

Lead discovery, prototype, and delivery of GenAI and agentic AI solutions: translate ambiguous business problems into validated production-grade designs, rapidly build POCs, select LLMs and orchestration tools, ensure security/compliance and production readiness, and convert field learnings into reusable assets.