Top Tech Jobs & Startup Jobs

The Operations Intern will support day-to-day business activities, focusing on data entry, record maintenance, and collaborating with the team on operational tasks.

The Senior Account Executive will build client partnerships, utilize economic and organizational data for sales strategies, and manage a significant quota in SaaS sales, particularly in the Commercial Real Estate sector.

As a Senior iOS Engineer, you will lead the iOS development, establish the architecture, collaborate with stakeholders, and implement high standards in software design and performance.

As a Senior GenAI Solutions Architect, you will lead the design and implementation of generative AI applications on AWS, collaborating with clients to understand their needs and guiding project execution with a team of engineers.

The Head of Sales for Mirakl Ads will lead a sales team, drive growth in retail media, and develop client relationships. Responsibilities include defining strategy, managing team performance, and reporting on sales activities.

Lead customer success and research efforts: train and advise customers on Dscout, design and run qualitative research projects, drive adoption and expansion, manage 1–3 Research Advisors, and surface customer feedback to Product.

Lead sales enablement for global Business Development: design and run onboarding, prospecting training, coaching, playbooks, certifications, and change management. Partner cross-functionally to measure adoption and improve prospecting, qualification, meeting conversion, and pipeline generation.

Senior individual contributor who owns and scales multi-state school and course approvals, prepares and submits licensing applications, interprets jurisdictional regulations, builds regulatory processes and AI-assisted workflows, partners cross-functionally, mentors junior staff, and serves as primary regulator liaison.

Perform outbound and inbound prospecting via phone, email, and LinkedIn to generate qualified leads, schedule meetings, support sales team calls, and use data-informed approaches. Maintain prospect lists, engage prospects, overcome objections, and participate in ongoing training to improve skills and drive pipeline growth.

Design, harden, and scale Snowflake and AWS data platforms, build dimensional data models and resilient Airflow pipelines, optimize complex SQL, develop dbt semantic layers, deploy ML models in AWS, integrate AI/LLMs into workflows, and build data APIs (FastAPI/Flask) to enable enterprise analytics and operational ROI.