Product Manager, Emerging Technologies - AI

Quilt Software•Provo, UT

22h•$90,000 - $130,000•Hybrid

About The Position

We're looking for a Product Manager to own and drive key initiatives at the intersection of AI and our retail platform. You'll work directly with engineering, design, customers, and business stakeholders to identify opportunities, define product strategy, and deliver solutions that create measurable value for retailers. This role is ideal for someone who enjoys operating with significant autonomy, thrives in small teams, and is excited about applying AI to real-world business problems.

Requirements

3+ years of Product Management experience shipping software products.
Demonstrated ownership of products or major product areas from concept through launch.
Strong collaboration skills with engineering, design, and business stakeholders.
Experience gathering customer feedback and turning insights into product decisions.
Excellent written and verbal communication skills.
Strong analytical and problem-solving abilities.
Ability to work independently and make sound product decisions with limited oversight.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Nice To Haves

Experience with retail technology, point-of-sale systems, payments, commerce, inventory, or related domains.
Experience building or integrating AI-powered features and workflows.
Familiarity with modern AI tools, LLMs, prompt engineering, AI agents, or generative AI product development.
Experience in B2B SaaS environments.
Technical background or ability to work effectively with highly technical engineering teams.
You build things with AI for fun.

Responsibilities

Own product strategy, roadmap, and execution for critical areas of a retail POS platform.
Partner closely with engineering and design to deliver high-quality customer experiences.
Engage directly with customers to understand workflows, pain points, and emerging opportunities.
Translate business objectives and customer needs into clear product requirements and priorities.
Use data, experimentation, and customer feedback to guide decision-making.
Identify and champion opportunities to incorporate AI capabilities into products and internal workflows.
Lead product discovery, define success metrics, and measure outcomes after launch.
Coordinate cross-functional efforts while maintaining a bias toward action and delivery.