Top Senior Level Jobs in Rochester, NY

The Enterprise Account Executive will be responsible for achieving quarterly and annual revenue targets by establishing and nurturing customer relationships within their territory. This role involves educating c-suite leaders, managing complex sales cycles, and collaborating with cross-functional teams to drive growth from existing accounts.

As an Account Executive at GRIN, you will focus on closing deals by understanding client needs, conducting sales presentations, and negotiating contracts. You will qualify leads, manage your sales pipeline using various tools, and ensure sales targets are exceeded while collaborating with a supportive team.

The Staff Front-End Engineer will lead the architectural design and implementation of front-end solutions, focusing on creating responsive, accessible web interfaces. The role involves mentoring other engineers, promoting coding best practices, optimizing application performance, and ensuring effective communication with stakeholders while driving initiatives for productivity.

The Infrastructure Engineer will build internal tools and features to enhance the Files.com product, focusing on scalability and efficiency. Responsibilities include leading project prototypes, resolving issues, and participating in on-call rotations to manage server challenges.

As a Technical Lead, you will lead and mentor a team of developers to deliver high-quality software solutions, focusing on web applications using React and Golang. You'll manage the team’s backlog, ensure high code quality, collaborate with cross-functional teams, and stay updated with industry trends.

The Communications Lead will develop and execute tailored communication strategies for South Cone, collaborating with teams to align messaging and media relations. Responsibilities include crisis communication, managing external agencies, monitoring media effectiveness, and overseeing content creation across various platforms.

The Principal Data Engineer will design and implement end-to-end data workflows for ML modeling, improve model performance, and enhance data processing frameworks. Responsibilities include creating standards and best practices, ensuring data accuracy, and collaborating with data scientists to meet data needs.