Top Tech Jobs & Startup Jobs in Hartford, CT

Provides phone and ticket-based customer support, resolves client issues, follows escalation workflows, manages competing priorities, and collaborates with Account Management, Scheduling, Billing, and Production teams. The role requires clear communication, composure under pressure, remote-work readiness, and accurate use of Zendesk, Slack, and Guru. Schedule is Monday through Friday, 10:30 a.m. to 7 p.m. Pacific Time.

Own and grow YipitData’s B2B demand generation engine for Corporate Tech. Responsibilities include defining target accounts and buyer personas, running account-based marketing programs, developing content and social proof, coordinating paid, organic, event, and sales channels, supporting account expansion, and measuring engagement, opportunities, pipeline, and revenue. The role requires close Sales partnership and a continuous test-and-learn approach.

Own YipitData’s SEO and AEO strategy, including buyer-query mapping, content roadmaps, technical SEO, AI search visibility, content quality, and third-party presence. Build tracking for organic and AI-sourced traffic, citations, conversions, and pipeline. Partner with content, marketing, product, engineering, PR, and sales teams while running experiments and refresh programs to increase discoverability, authority, and organic-sourced revenue.

One-year rotational early-career consulting program for recent bachelor's or master's graduates. Participants develop core consulting competencies through onboarding, office hours, manager check-ins, workshops, and collaborative client-focused work. Candidates must live in an approved hub city and, for U.S. locations, be legally authorized to work without sponsorship.

Deploys and operates Kubernetes environments across AWS, Azure, and on-premises infrastructure. Builds UDS packages and application modules using infrastructure-as-code, supports customers through onboarding and training, troubleshoots production issues, provides on-call support, and improves delivery processes through operational analysis and customer feedback. The role also contributes to product direction, service development, deployment playbooks, and team mentorship.

Design, build, test, and deliver software for managing virtual machines alongside Kubernetes workloads in secure, disconnected environments. Develop Kubernetes tooling, APIs, VM image workflows, management capabilities, and integrations for networking, storage, observability, and security. Debug complex distributed systems, improve reliability and performance, make architectural decisions, review code, mentor engineers, and collaborate with product, UX, and mission stakeholders.

Build and deploy AI-enabled applications, backend services, integrations, and reliable data pipelines across Mosaic Health businesses. Translate operational needs into technical solutions, prototype and evaluate AI approaches, create automated tests, and measure business value. Partner with IT, data, security, finance, vendors, and business owners to deploy approved solutions with strong security, observability, governance, and scalability. The role requires hands-on coding, independent execution, technical leadership, and production support.

Designs, executes, and optimizes integrated demand generation and account-based marketing campaigns across digital channels, events, and marketing automation platforms. The role analyzes campaign performance, pipeline contribution, conversion rates, and ROI; develops audience segments and buyer personas; manages nurture programs and scoring models; coordinates with Sales, SDR, Product Marketing, and Revenue Operations; and reports campaign impact to leadership.

Own customer relationships for the Goby ESG platform, leading onboarding, platform education, value creation, and ongoing customer management. Partner with executives, frontline users, and internal technical teams to deliver contracted ESG services, solve problems, improve platform adoption, identify upsell opportunities, and drive long-term customer value. The role requires cross-functional communication, project coordination, process discipline, data-informed decision-making, and experience with business software and SaaS environments.

The Lead AI Insights Engineer will develop and deploy AI solutions in healthcare, focusing on unstructured data processing and clinical outcomes, collaborating across teams.

Coordinates competitive proposals, RFPs, RFQs, municipal bids, and qualifications while supporting capture planning, business development, pipeline tracking, and process improvement. Manages schedules, compliance matrices, content libraries, reviews, submissions, bid portals, CRM records, dashboards, and debriefs. Partners with technical, sales, operations, legal, pricing, and leadership teams to develop accurate, compliant, client-ready materials and improve pursuit workflows, automation, and standardization.

Build and maintain end-to-end machine learning pipelines for electoral polling and forecasting. Develop identity resolution, record linkage, survey, voter-file, and forecasting models; perform feature engineering, model evaluation, diagnostics, and data quality checks. Translate statistical outputs into strategic guidance for political organizations, collaborate with engineers and analysts, and develop political subject-matter expertise to identify anomalies and improve model reliability.