AI-Native Product Engineer

Company: Jobgether

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-07-07

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI-Native Product Engineer based in United States.
We are seeking a senior product-focused engineer who can take full ownership of a product area, transforming broad business goals into intuitive, scalable, and high-quality software solutions. This role combines product thinking, technical leadership, and AI-powered engineering practices to drive innovation from discovery through delivery. The ideal candidate thrives in ambiguous environments, understands user needs, and can independently define workflows, architecture, and implementation strategies. You will work closely with cross-functional teams to build modern SaaS experiences while leveraging advanced AI tools to accelerate development. This is an opportunity for an experienced engineer to operate with the mindset of a founding engineer and make a meaningful impact on product direction and technical excellence.


Accountabilities
The AI-Native Product Engineer will own product initiatives end-to-end, combining engineering expertise with strong product judgment to deliver impactful solutions. The role requires the ability to translate unclear business objectives into clear workflows, technical plans, and polished user experiences while collaborating with product, design, engineering, and business stakeholders.

  • Own product areas from discovery and definition through design, implementation, testing, and continuous iteration.
  • Translate ambiguous goals into user workflows, product requirements, technical strategies, and execution plans.
  • Identify gaps, risks, edge cases, and opportunities to improve product and technical approaches.
  • Design and develop intuitive SaaS experiences, including dashboards, tables, forms, configuration flows, detail views, and user states.
  • Make sound architecture decisions across data models, APIs, frontend and backend systems, perm...

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