Top Tech Jobs & Startup Jobs

Lead the development of AI-powered solutions, implement MLOps, and mentor junior engineers, aligning AI capabilities with business needs.

The Go-to-Market Engineer will build and maintain outbound infrastructure, overseeing lead sourcing, enrichment pipelines, and CRM architecture to optimize sales processes and improve pipeline effectiveness.

The Head of QC & Analytics will ensure data integrity and quality control for protein assays, automate data pipelines, and improve analytics processes. Responsibilities include defining quality standards, collaborating with software teams, and leading investigations on assay discrepancies.

Lead development and launch of innovative video solutions, ensuring user engagement and collaboration, while maintaining market leadership in webcams.

Lead product management, mentoring a team while ensuring the commercial success of B2B products. Drive cross-departmental alignment and manage development processes.

As an ML Application Engineer, you will help clients solve engineering challenges using ML and automation, develop solutions, train users, and drive AI adoption in workflows.

As VP of Engineering, you will lead a high-performing software engineering team, ensuring quality delivery, structuring the organization, establishing modern processes, and collaborating closely with leadership and clients.

Lead the design and delivery of AI-driven engineering workflows. Collaborate with product managers, customers, and engineers to standardize components and drive adoption across platforms.

As a Junior Machine Learning Engineer Intern, you will work on applied research projects using advanced machine learning techniques and help deploy solutions for customers, while contributing to a collaborative team environment.

The Sr System Software Engineer will develop digital tools for Medtronic Operations, focusing on automation, software design, and data integration while collaborating with cross-functional teams.

Manage and develop relationships with mid-market clients, ensuring client satisfaction and growth through policy renewals, upselling, and technical support.

As a Senior Data Engineer, you will develop scalable data pipelines in GCP, transform data for visibility via Looker, ensure data quality, and provide technical advisory.