Top Tech Jobs & Startup Jobs

Identify and prospect enterprises with valuable data assets, run high-volume outbound campaigns (email, phone, LinkedIn), generate qualified meetings for Partnerships, develop account strategies, research markets and competitors, and collaborate cross-functionally to transition opportunities and scale playbooks.

The Program Manager oversees quality programs, develops automated solutions, manages a team of quality specialists, and ensures high-quality human data deliverables.

Seeking an Agentic Finance Engineer to design and automate finance systems, integrating AI, maintaining data integrity, and collaborating with finance leads.

The Administrative Generalist will support daily operations, coordinate events, assist recruiters, and provide HR support while ensuring a well-organized office environment.

As a Recruiting Coordinator, you will manage interview schedules, ensure data integrity in ATS, support candidate experience, and assist in recruiting events. Requires strong organizational skills and communication.

Design, build, and operate identity and access infrastructure at massive scale. Work directly with operations to translate requirements into secure, distributed systems covering authentication, authorization, provisioning, and directory synchronization across thousands of Slack workspaces and HR systems. Own features end-to-end and iterate on design with security-first thinking.

As a Backend Engineer, you'll build backend services for candidate-job matching and marketplace workflows, focusing on APIs, data models, and operational systems.

The Engineering Manager will lead a team in Applied AI, focusing on building scalable systems, driving evaluations to improve model performance, and managing engineering talent.

As a Growth Associate, you'll recruit specialized experts for AI companies, enhance sourcing channels, manage talent pipelines, and drive company growth.

As a Research Engineer, you'll enhance AI models through post-training and evaluation pipelines, focusing on data quality and performance metrics.