Design and implement machine-learning algorithms using tabular, natural-language, and image data, then work with consultants and software engineers to turn client solutions into usable software.
About this role
This technical project manager works with the Development Division’s PjM team on YOMEL, an AI meeting-minutes service, and related SaaS product work. The role begins before delivery planning: it involves understanding customers’ operational problems and defining which needs can be addressed as reusable product capabilities, rather than simply tracking a specification that has already been set. The manager clarifies requirements and priorities with the development team, drives projects through Scrum, and coordinates release management. The work also involves aligning development, customer success and sales, and progressing projects with quality and security requirements in view. Customer interviews are central, with participation in sales meetings when needed. Applicants must have experience organizing business problems through customer interviews, proposals, requirements definition or similar work, and experience coordinating with a development team or related departments to move a project forward.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Develop AI features for a natural-language-processing SaaS, taking ideas from user problems through experiments and validation to production code integrated into the product.
Lead AI solution business development for enterprise clients, from identifying business needs and designing practical services to proposals, UX planning, and project delivery with engineers. Apply generative AI, NLP, and optimization technologies to new services and operational reform.
Investigate security incidents, assess attack surfaces and vulnerabilities, manage IT assets and analyse logs while supporting group-wide education and remediation.
Leads enterprise customers’ long-term technology strategy and AI, cloud, data and security transformation. Turns business priorities into roadmaps and coordinates Microsoft and partner expertise through execution.
Design, develop, and operate web backend services and databases for a shared API platform.