Job Information
Supio AI Technical Product Manager in Seattle, Washington
1.[ ]{times="" new="" roman",="" times,="" serif"=""}Lead the end-to-end product lifecycle for AI/ML-driven solutions, from ideation and requirements gathering to development, launch, and iterative improvement, ensuring alignment with business objectives.
2.[ ]{times="" new="" roman",="" times,="" serif"=""}Define and prioritize product requirements by collaborating with AI researchers, data scientists, and engineers to translate complex technical concepts into actionable roadmaps.
3.[ ]{times="" new="" roman",="" times,="" serif"=""}Design user experiences for AI-powered features, working with UX/UI teams to create intuitive workflows and prototypes that optimize interactions with machine learning models.
4.[ ]{times="" new="" roman",="" times,="" serif"=""}Analyze data metrics (user behavior, model performance, A/B tests) to drive product decisions, feature prioritization, and post-launch optimizations.
5.[ ]{times="" new="" roman",="" times,="" serif"=""}Collaborate with engineering teams to integrate AI/ML models into scalable production systems, ensuring reliability, performance, and alignment with product goals.
6.[ ]{times="" new="" roman",="" times,="" serif"=""}Evaluate emerging AI/ML technologies (e.g., generative AI, LLMs) to identify opportunities for innovation and competitive differentiation.
7.[ ]{times="" new="" roman",="" times,="" serif"=""}Coordinate cross-functional teams (engineering, marketing, legal) to address challenges such as ethical AI deployment, bias mitigation, and regulatory compliance.
8.[ ]{times="" new="" roman",="" times,="" serif"=""}Develop go-to-market strategies for AI products, including pricing models, customer segmentation, and sales enablement materials.
9.[ ]{times="" new="" roman",="" times,="" serif"=""}Communicate technical concepts to non-technical stakeholders (executives, customers) to align product vision with business needs.
10.[ ]{times="" new="" roman",="" times,="" serif"=""}Oversee AI model deployment in cloud environments, working with infrastructure teams to ensure scalability, monitoring, and cost efficiency.
Requirements:
Master's degree or foreign equivalent degree in Computer Science, Data Science, Operations Research or closely related fields, plus 1 year of experience in AI technical product management.
Must have 1 year of experience/skills in the following:
·[ ]{times="" new="" roman",="" times,="" serif"=""}Owning end-to-end product lifecycles from inception to launch in AI/ML.
·[ ]{times="" new="" roman",="" times,="" serif"=""}Defining product requirements/roadmaps and collaborating with AI/ML engineering teams to design, test, and deploy models.
·[ ]{times="" new="" roman",="" times,="" serif"=""}UX/UI design (Figma, Sketch) for AI-driven products.
·[ ]{times="" new="" roman",="" times,="" serif"=""}Generative AI platforms, Machine Learning DevOps (MLOps) platforms, AI toolkits.
·[]{times="" new="" roman",="" ti=""}