Top Tech Jobs & Startup Jobs in Boston, MA

The Senior Quality Engineer will ensure high-quality software delivery by designing test strategies for AI/ML applications and collaborating with remote teams. Responsibilities include automating testing, mentoring engineers, and maintaining documentation.

Lead and scale a team of Senior Implementation Project Managers to deliver and industrialize TetraScience OS implementations. Direct end-to-end delivery of complex enterprise programs, create standardized playbooks and Confluence documentation, establish KPIs and dashboards, orchestrate cross-functional technical dependencies, and represent the organization in C-level engagements while owning escalations and team development.

Lead US client engagement, ensuring high customer satisfaction, driving renewals, and managing a delivery team to deploy complex solutions in the life sciences sector.

The Technical Account Manager serves as a strategic partner to customers, bridging business objectives and technical execution, ensuring project success and enhancing ROI through in-depth technical guidance and relationship management.

The Lead Platform Engineer will architect and evolve cloud-native infrastructure to support high data volumes, collaborating across teams to ensure scalability, reliability, and cost-efficiency.

Drive go-to-market strategy and create impactful content for TetraScience’s products. Collaborate across teams for product launches and customer engagement.

Lead the delivery of a scientific data transformation program with multiple workstreams, facilitating collaboration, tracking progress, and ensuring timely execution.

The Software Engineer III will develop infrastructure for scientific analysis software, focusing on tools for high-quality delivery, scalability, and high availability, working in a team-oriented environment.

The role involves building and maintaining data infrastructure, designing data lake solutions, and optimizing data pipelines for scientific data processing.

In this leadership role, you will own the platform architecture, advising on technical feasibility, mentoring team members, and driving innovation for scalable data platforms while communicating with product and engineering teams.