Top Tech Jobs & Startup Jobs in Hartford, CT

Lead enterprise new-logo sales strategy and a high-performing team to acquire large clients. Drive complex transformation deals across mainframe, hybrid IT, and cloud, manage pipeline, forecasting, pricing, contracts, and executive relationships, and collaborate cross-functionally to ensure successful onboarding and delivery.

Lead product execution for retail platforms, integrations, and data foundations. Establish data governance, define integration patterns and data contracts, improve fulfillment/OMS capabilities, evaluate vendors, and enable analytics and AI-driven automation to increase operational efficiency.

Define and prioritize product features, bugs, and improvements for Preset and Apache Superset. Collaborate with engineering and design to deliver and validate functionality, write specs and user-facing documentation, coordinate launches with marketing, gather feedback from customers and the open-source community, and shape product strategy based on competitive research and user interviews.

Lead full-stack development across Superset frontend and backend services. Design and ship end-to-end features, improve performance and scalability, own major technical initiatives, mentor engineers, set engineering standards, and collaborate with product, design, and the open-source community.

Build and productionize ML models and data infrastructure to analyze millions of chaos engineering experiments, detect and explain failures, recommend automated remediation, and integrate AI-driven failure analysis into Gremlin's product using techniques like causal inference, graph ML, time-series modeling, and reinforcement learning.

Design, build, and maintain Chaos Engineering tooling and distributed backend systems. Collaborate with product and cross-functional teams, mentor engineers, ensure reliability through automated testing and CI/CD, integrate with cloud and external systems, and deliver production-ready features that improve system availability and customer experience.

Sell Mortgage Cadence MCP Essentials and Enterprise to banks, credit unions, IMBs and mortgage lenders. Own full sales cycle, build pipeline, lead discovery, run demos/POCs, design tailored solutions with internal teams, manage complex enterprise sales, represent company at industry events, and maintain market insights and accurate pipeline forecasting.

Lead Sage Intacct implementations from system selection through go-live and post-implementation support. Manage multiple concurrent projects, oversee build/test/deploy, provide end-user training and documentation, advise users, and identify additional services.

The Staff DevOps Engineer will focus on Site Reliability Engineering and work on security practices, vulnerability management, and integrating security into CI/CD processes to ensure robust security across the platform.

Partner with product squads to own end-to-end analyses: define questions, write SQL, model event-level data, build dashboards and self-serve tools, evaluate experiments, and deliver clear, actionable recommendations to PMs, marketers, and leaders.

Advise product, engineering, and business teams on development, launch, and scaling of crypto and regulated financial products globally. Assess regulatory and legal risks, ensure regulatory readiness, draft and maintain product terms and customer-facing disclosures, guide go-to-market and marketing compliance, monitor global digital asset regulations, and translate legal developments into actionable business guidance.

Build and maintain full-stack features across C#/.NET Core backend services and modern web frontends. Integrate Azure-based AI capabilities and agentic LLM workflows, own CI/CD with Azure DevOps, optimize data access on Azure SQL, instrument observability, participate in on-call/incident response, and mentor junior engineers.

Conduct applied research on user representation learning, multimodal and transformer-based generative AI. Design, train, evaluate, and deploy large-scale embedding, retrieval, and semantic search systems. Collaborate with engineering and product teams to build production-quality models, establish reproducible benchmarks, and translate research into measurable business impact.