Top Tech Jobs & Startup Jobs

The Office Manager will oversee daily office operations, provide administrative support to executives, manage schedules and travel arrangements, facilitate communication among staff and external partners, assist in HR processes for new hires, and monitor office supplies and inventory.

The Account Executive will engage with laundry SMBs, focusing on consultative sales by understanding customer needs and providing tailored SaaS solutions. Responsibilities include managing the entire sales process, collaborating with teams, and refining sales strategies based on customer feedback.

The Business Development & Partnerships Manager at Aero will build and manage partnerships within the luxury travel sector, focusing on market expansion, revenue generation, and enhancing client experiences. Responsibilities include strategic partnership development, negotiating with high-end brands, promoting charter products, and monitoring partnership performance.

The Head of Propulsion Engineering will lead the design, development, and qualification of propulsion systems, specifically rotating detonation rocket engines. This role requires managing teams, overseeing projects, and ensuring the successful execution of engineering deliverables while fostering innovation and managing technical risks.

Mammoth Biosciences invites applicants to submit their resumes for unspecified roles within the company. They emphasize their focus on finding a fit for candidates who resonate with their mission in biotechnology and CRISPR technology development.

In this role, you will engage with potential customers through outreach via phone, email, and social channels to effectively schedule product demos, articulate Leadr's benefits, and contribute to positive team dynamics through daily huddles and mentoring sessions.

The Data Engineer Consultant at DAS42 is responsible for developing data integrations, implementing data warehouses and ETL pipelines, and optimizing clients' data environments. They work collaboratively on projects, document client data environments, and support the pre-sales process while utilizing technologies like Python and SQL alongside data visualization and cloud platforms.