Top Tech Jobs & Startup Jobs

The Senior Full Stack Engineer will design and maintain end-to-end web solutions, collaborate with teams for intuitive user experiences, develop backend logic and APIs, optimize website performance, and manage infrastructure using various tools.

As a Staff Machine Learning Scientist, you will focus on hiring and mentoring staff, raising technical standards, and applying machine learning to improve customer experiences. You'll research algorithms, conduct data analysis, and collaborate with teams to produce ML products.

Manage full sales cycle for Mid-Market customers: prospect, demo, forecast, and close new SaaS business; evangelize product, mentor teammates, and represent customer feedback to Product and Marketing.

Lead a product team owning roadmap, customer research, scoping MVPs, collaborating with design and engineers, running experiments and metrics, and delivering high-quality AI customer-agent features while motivating the team.

Sell Intercom to small-business customers by managing the full sales cycle from prospecting to close. Evangelize product value, forecast revenue, partner with SEs, R&D and Marketing, and drive adoption through consultative selling and outbound outreach.

Drive new business growth in the Mid-Market/Enterprise segment through full sales-cycle ownership: outbound prospecting, tailored demos, consultative value-based selling, forecasting, closing net-new deals, mentoring teammates, and advocating customer needs to Product and Marketing.

The AI Infrastructure Engineer will develop systems for model training and inference, optimize GPU performance, and mentor junior engineers, contributing to AI products at scale.

The role involves leading Account Executives to drive new business revenue in North America by executing sales strategies, managing performance, collaborating cross-functionally, maintaining customer focus, and analyzing sales metrics for improvement.

As Engineering Manager for AI Models Infrastructure, you will lead a team responsible for building foundational infrastructure for AI products while contributing directly to production code and enhancing developer experience.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.