MARA

MARA empowers businesses to gain actionable insights from online customer reviews, eliminating the need for costly traditional market research. We achieve this by leveraging cutting-edge NLP and AI technologies, offering a data-driven approach to understanding customer sentiment and preferences. Our SaaS platform provides a rapid and efficient alternative to field research, enabling faster decision-making and more effective marketing strategies. We're a small but rapidly growing company, currently employing 1-10 people, and operate with a lean and agile engineering culture. Our tech stack utilizes a robust infrastructure built on Amazon Web Services (AWS), including Amazon S3, Amazon Virginia Region, and integrates technologies like nginx, jsDelivr for content delivery, and Let's Encrypt for secure communication (HSTS, HSTS IncludeSubdomains PreLoad). We offer a remote-first work environment and are committed to innovation and collaboration, making it an excellent opportunity for those seeking a challenging and rewarding experience in a dynamic AI/NLP company. Our focus is on providing high-quality software solutions and building meaningful relationships with our clients. We value transparency, integrity, and data-driven decision making. Backed by a pre-seed round of funding in 2020, we're poised for substantial growth. If you are passionate about AI, NLP, and contributing to a fast-growing tech company, we encourage you to explore our job opportunities. MARA's mission is to revolutionize market research through efficient, AI-driven insights. We believe that a collaborative team, coupled with advanced technology, can unlock unprecedented value for our clients. Our approach is underpinned by a dedication to transparency, innovation and client success. We are a small, but impactful team, focused on delivering high-value solutions to clients. As such, we prize self-motivated individuals who enjoy challenges and possess a collaborative spirit. This makes MARA a perfect environment for those seeking fast growth in a dynamic setting.