Remote Product Engineer, AI Email Applications

Ginas Tech Jobs; Oregon; Hybride; USD 150 000 - 185 000; Plein temps

Avantages offerts par ce poste

Medical insurance

DentalCoverage

Vision coverage

Résumé du poste

Ginas Tech Jobs is seeking a Product Engineer for AI Email Applications. This fully remote, 100% remote role requires deep AI/ML expertise and hands-on engineering collaboration to define AI behavior, evaluation, and product decisions.

You will work across ML, backend, and client teams to ship reliable, user-centric AI features and conduct rigorous testing. The ideal candidate has a strong CS background, production AI experience, and a track record of owning complex AI-enabled products

Qualifications

• AI/ML experience required.
• Strong CS fundamentals and system design skills.
• Solid understanding of modern ML and AI systems in production.
• Able to read technical designs and engage deeply with engineers.
• Strong judgment to make decisions when not obvious.
• Experience owning complex, technical products end-to-end.

Responsabilités

• Define end-to-end requirements for AI capabilities and user experience.
• Translate model capabilities into product and system decisions.
• Balance quality, latency, cost, reliability, safety, and UX.
• Collaborate with ML, backend, and client engineers on design and evaluation.
• Define evaluation frameworks across offline metrics, online experiments, and human feedback.
• Establish clear quality bars and feedback loops for AI-powered experiences.
• Drive execution with specifications, prioritization, and technical judgment.
• Identify failure modes and ensure AI systems behave predictably.

Connaissances

AI/ML experience

System design

Production-ready thinking

Technical judgment

Reading designs

Ownership

Description du poste

Ginas Tech Jobs is seeking a Product Engineer for AI Email Applications. This fully remote, 100% remote role requires deep AI/ML expertise and hands-on engineering collaboration to define AI behavior, evaluation, and product decisions.

You will work across ML, backend, and client teams to ship reliable, user-centric AI features and conduct rigorous testing. The ideal candidate has a strong CS background, production AI experience, and a track record of owning complex AI-enabled products