Spell provides MLOps (Machine Learning Operations) software for Deep Learning, what we call, “DLOps”. The software enables orchestrating, automating, and managing the development and deployment of deep learning models for NLP (Natural Language Processing), Machine Vision, Voice Recognition and Synthesis, and other types of deep learning. Our users include commercial enterprises, government agencies, AI-forward startups, researchers, solo practitioners, and students.
At Spell, we're looking to empower collaboration and remove barriers to entry when it comes to developing deep learning and AI-powered applications. By replacing dev-ops clutter with a clean and powerful UX, we strive to both increase the speed at which developers can iterate as well as facilitate growth within the deep learning field as a whole.
Spell is seeking a Marketing Manager with an interest in multi-modal marketing communications and operations for website content, digital advertising, email blasts, product and company news, presentation materials and social media posts.
The Marketing Manager will synthesize product information from Engineering, partner with Sales, and collaborate with Design to produce messages and materials for use in campaigns, content, and public relations; they will manage the processes for producing, using, and tracking the effectiveness of marketing outputs.
Spell is a nimble, well-funded, fast-growing startup with an inclusive, collaborative culture that places a high priority on creativity, adaptability, initiative, and teamwork. To be most effective, the Marketing Manager must be inquisitive, communicative, and supportive. The Marketing Manager is currently an individual contributor role, but as Spell continues to grow, the role can expand to include team leadership responsibilities for creative operations
As an organization, collaboration is key to our success and extends beyond the engineering team. We deeply value the problem-solving that arises from having a diverse set of voices that know both how to share and how to listen. We build trust in each other by being eager to help and reliable when called upon. And we keep a strong culture of mentorship and knowledge-sharing so that we can grow collectively as a team.
Spell is a collaborative platform that lets anyone run machine learning experiments.