Top Tech Jobs & Startup Jobs in Hartford, CT

Lead and develop a Mid-Market inside sales team to hit revenue targets. Set strategy and KPIs, run performance cadence, coach reps on outbound prospecting and deal cycles, collaborate with RevOps, marketing, services, and support to drive growth and ensure customer success.

Sell Payscale's enterprise compensation SaaS to companies with 1,000+ employees. Manage full sales cycle, build pipeline, collaborate with SDRs and marketing, meet $1M+ quota, maintain CRM records, and close high-velocity enterprise deals with HR and compensation decision-makers.

Provide high-volume phone and multi-channel borrower support for applications, payments, refunds, and account questions. Follow lending policies, own issues through resolution, document interactions, escalate risks, surface product/process insights, and use AI tools to improve efficiency while protecting accuracy and customer trust.

Lead actuarial team activities including pricing, forecasting, reserving, and model development. Produce strategic recommendations, manage actuarial processes and vendor work, support rate filings and regulatory interactions, oversee IBNR reserve estimates, and communicate results to leadership.

Lead design, development, testing, and maintenance of scalable data-centric applications using Python, React/Next.js, and PostgreSQL. Optimize schemas and data pipelines, build responsive UIs for analysis and reporting, address performance and security issues, perform code reviews, mentor junior engineers, and drive architecture and technical decisions for the Clinical Operations Platform.

Lead discovery and build internal AI agents and automations end-to-end: map workflows across teams, prototype LLM-powered agents, define specs, quality guardrails, and observability, drive engineering delivery and adoption, and set roadmap for internal AI platform (Rockie).

Lead and build a product research team to develop data collection prototypes, analytics pipelines, and risk assessment methods. Collaborate with product and engineering to transition prototypes to production, recruit and mentor researchers, communicate quantitative findings to stakeholders, and identify third-party data partnerships. Drive QA processes for research and support marketing and customer engagements.

Lead go-to-market and technical execution for ecosystem integrations. Build integration content, write technical specs and data mappings, coordinate partner GTM, enable sales and CS, manage external engineering partners, and ensure reliable API-based integrations with enterprise SecOps and GRC platforms.

Design, build, and maintain scalable ETL/ELT data pipelines and data models integrating USMC logistics systems (GCSSMC, TLS). Ensure data quality, RMF/cybersecurity compliance, support analytics, dashboards, APIs, and collaborate with NIWC Atlantic, stakeholders, and cross-functional teams to improve logistics visibility and readiness.

Lead a cross-functional Agile engineering team with hands-on architecture and coding, mentor engineers, partner with Product and QA, and drive modernization, CI/CD, containerization, cloud adoption, and operational reliability to improve delivery and team effectiveness.

The Staff Software Engineer shapes AI platform strategy, leads architectural decisions, mentors junior engineers, and ensures compliance for AI capabilities in a financial context.

Full-cycle enterprise SaaS sales role selling Ontic's security platform to Fortune 1000 accounts. Own territory strategy, prospecting, pipeline development, demos, discovery, negotiations, and close. Build executive relationships, present ROI to stakeholders, manage forecasts in Salesforce, collaborate with internal teams for client value and retention, and represent the company at events.

Lead development of rigorous evaluation frameworks and statistical methods to measure and validate autonomous vehicle system performance. Monitor metric reliability, detect drift, identify edge cases, correlate simulation and on-road results, and feed scenarios into simulation catalogs. Partner with safety, systems, and engineering teams to inform launch decisions, build self-service tooling for developers, and mentor peers. Introduce scalable ML methods where appropriate to improve evaluation rigor and coverage.