Top Tech Jobs & Startup Jobs in Hartford, CT

Leads Kinaxis’s North American VAR business by recruiting and developing resellers, driving subscription sales, expanding customer acquisition, and delivering partner revenue growth. Owns territory business plans, pipeline, forecasts, partner accountability, joint business planning, executive relationships, deal strategy, and quarterly reviews. Coordinates with sales, marketing, enablement, services, product, and customer success teams to improve partner capabilities, demand generation, implementation readiness, renewals, and expansion.

Leads financial due diligence engagements for buy-side and sell-side transactions. Responsibilities include quality of earnings analysis, EBITDA adjustments, working capital normalization, revenue recognition, cash proof analysis, GAAP conversions, workpaper review, client communications, data room management, and engagement coordination. The manager also supervises associates, supports complex accounting matters, develops client relationships, and contributes to networking and business development.

Leads client-facing software implementation projects for healthcare payor customers, coordinating cross-functional teams, requirements, roadmaps, risks, budgets, timelines, deliverables, and change management. Serves as a consultative customer partner, facilitates discovery, manages escalations, documents solutions, drives product adoption, and ensures customer satisfaction. Collaborates with Product, Engineering, Analytics, Implementation, and Go-to-Market teams while continuously improving methodologies and supporting strategic client outcomes.

Leads payer-client implementations for post-payment payment integrity solutions from discovery through requirements, data mapping, configuration, testing, go-live, hypercare, and ongoing support. Serves as the primary client contact, translating business needs into approved requirements and implementation artifacts while coordinating product, business analysis, data, engineering, QA, security, and operations teams. Oversees risks, decisions, changes, readiness, adoption, and issue resolution while providing payment integrity and product expertise.

Own AI/ML platform capabilities, including data pipelines, distributed compute, MLOps, CI/CD, model deployment, monitoring, rollback, and compliance automation. Integrate multi-agent AI orchestration with platform services and external systems through APIs and MCP. Partner with platform engineers and product leaders to deliver reusable AI components. The role requires production distributed-systems experience, distributed ML and data tooling expertise, cloud container operations, and strong Python proficiency.

Own the team’s quality strategy, automation architecture, test frameworks, synthetic-data safeguards, CI feedback, and non-functional testing. Design reliable testing for concurrency, asynchronous workflows, and distributed services; diagnose failures across product, automation, data, and environments; and establish AI-assisted quality practices with human oversight. Define risk-based verification, exploratory testing, PHI protections, testability requirements, and residual-risk communication while partnering with Engineering, Product, and Platform.

Lead the global payments ecosystem, manage processor integrations, optimize payment performance, and collaborate with various teams to deliver effective solutions.

Processes high-volume domestic and international payroll across multiple pay cycles. Manages Deltek Costpoint, Costpoint Enterprise Reporting, and ADP Workforce Now; ensures payroll tax compliance; performs general ledger reconciliations, audits, reporting, and data analysis using advanced Excel. Resolves complex discrepancies, manages deadlines, and improves payroll processes.

Coordinates domestic and international training logistics, including course scheduling, candidate briefings, registration documentation, pipeline tracking, attendance monitoring, and completion reporting. Partners with Recruiting, HR, Travel, and Operations to align training capacity with hiring needs, support candidate deployments, resolve compliance issues, and escalate pipeline bottlenecks.

Provides administrative and clerical support to field personnel at utility-scale energy project sites nationwide. Responsibilities include answering phones, managing mail and shipments, ordering supplies, entering timecards and employee changes, tracking equipment and vehicle licensing data, and supporting onboarding, orientations, training programs, and employee documentation. Requires frequent relocation to jobsites and 100% travel without rotations.

Sell SaaS fundraising solutions to colleges, universities, and other educational institutions. Responsibilities include territory planning, prospecting, managing complex sales cycles, building executive relationships, presenting solution value, maintaining pipeline discipline, exceeding quotas, and closing six-figure deals. The role collaborates with marketing and partner success teams and requires 30–35% travel. Candidates should have substantial SaaS sales experience and a record of exceeding quotas.

Sell GiveCampus SaaS solutions to colleges, universities, and other educational institutions. Own territory planning, prospecting, complex sales cycles, stakeholder relationships, pipeline management, contracting, and quota attainment. The role requires selling to senior executives, closing six-figure deals, collaborating cross-functionally, and promoting the company’s education-focused mission. This remote U.S. role strongly prefers California candidates and requires 30–35% travel.

Provides advanced technical support to customers, diagnoses and resolves complex product issues, manages cases through resolution, and documents troubleshooting processes. Collaborates with engineering and product teams on defects and improvements, while mentoring junior support engineers. Requires strong communication, analytical, and problem-solving skills. Preferred experience includes SQL, Python, Pandas, notebooks, Git/GitHub, AI prompting, advertising or MarTech, and data clean room environments.