Top Tech Jobs & Startup Jobs in Hartford, CT

The Staff Global Product Marketing Manager is responsible for driving marketing initiatives, supporting sales, and executing strategies for hospital sterilization products.

The Sales Development Representative will drive pipeline growth through outbound prospecting, engaging potential customers and working with Account Executives to qualify leads and build strategic outreach campaigns.

As a Technical Product Manager, you will define product strategy, drive requirements, collaborate with teams, and enhance platform performance for enterprise clients.

The Pharmacovigilance Scientist develops safety strategies, analyzes safety data, authors safety documents, collaborates across teams, and evaluates safety issues for drug products.

Lead and optimize paid advertising campaigns across various platforms, build client relationships, craft strategies, and influence outcomes.

The Senior Solutions Consultant works with clients to understand their needs, develop workflows, implement technology solutions, and ensure client satisfaction through effective project management and communication.

As Director of Global Business Travel, you will define and execute TMC strategies, manage enterprise relationships, and drive revenue growth for Wenrix.

The Data Platform Engineer will manage, automate, and optimize ClickHouse infrastructure, focusing on scaling and performance for high volumes of data. Responsibilities include dynamic provisioning, query optimization, and using automation tools, while ensuring optimal hardware usage for workloads.

The Enterprise Account Executive is responsible for driving revenue growth through managing accounts, developing client relationships, and executing sales strategies including upselling and contract renewals.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.