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Product Engineer, AI Email Applications, Artificial Intelligence (AI) Required Work From Home


Job Location:

San Francisco, CA - USA

Monthly Salary: Not provided by the employer
Posted: 23 September 2026 (3 hours ago)
Application Deadline: 21 December 2026
Vacancies: 1 Vacancy

Job Summary

Product Engineer AI Email Applications Artificial Intelligence (AI) Required - Work From Home

 

As Product Engineer AI Email Applications you will work at the intersection of user needs model capability and engineering constraints.  The Product Engineer will work directly with Machine Learning (ML) and engineering teams to define how the system should behave how we measure it and how we continuously improve it.  This is a deeply technical hands-on role.  You are expected to understand the system and challenge technical decisions.  Artificial Intelligence (AI) and Machine Learning (ML) are required for this opportunity.  This position is 100% Remote.

 

MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.

 

Product Engineer Responsibilities:

 

- Define end-to-end requirements for Artificial Intelligence (AI) capabilities from model behavior to system behavior to user experience.

- Translate model capabilities evaluation results and technical constraints into clear product and system decisions.

- Make trade-offs across quality latency cost reliability safety and UX.

- Work closely with Machine Learning (ML) backend and client engineers on system design evaluation and iteration.

- Define and evolve evaluation frameworks across offline metrics online experiments and human feedback.

- Establish clear quality bars and feedback loops for AI-powered experiences.

- Drive execution through clear specifications prioritization and strong technical judgment.

- Identify failure modes and ensure Artificial Intelligence (AI) systems behave predictably and recover gracefully.

- Own product quality end-to-end correctness reliability usefulness and user trust.

 

Product Engineer Outcomes:

 

- Product strategy clearly aligns Artificial Intelligence (AI) capabilities with user needs and company priorities.

- AI features deliver real value are understandable predictable and trusted by users.

- Decisions balance quality speed cost and reliability effectively under uncertainty.

- Roadmaps and priorities are clear with fast iteration based on real user feedback.

- Teams are aligned focused and able to execute on AI product goals with minimal friction.


Qualifications :

Product Engineer Qualifications:

 

- Artificial Intelligence (AI) and Machine Learning (ML) experience required.

- Strong computer science fundamentals and system design skills.

- Solid understanding of modern Machine Learning (ML) and how Artificial Intelligence (AI) systems behave in production.

- Comfortable reading technical designs understanding architectures and engaging deeply with engineers.

- Strong intuition for model limitations hallucinations evaluation and failure modes.

- Significant experience owning complex technical products end-to-end.

- Hands-on experience with AI-powered products particularly LLM-based systems.

- Experience with model evaluation experimentation prompting or Artificial Intelligence (AI) system iteration.

- Ability to turn ambiguous problems into clear requirements measurable outcomes and executable plans.

- Strong judgment and the ability to make decisions when the right answer is not obvious.

- Highly technical curious and comfortable going deep.

- Strong bias toward shipping experimentation and learning from real-world usage.

- Able to challenge engineers and researchers constructively while maintaining strong collaboration.

- Comfortable operating with significant ownership in a fast-moving zero-to-one environment.

- An engineering background is a strong plus but what matters most is the ability to reason deeply about - both AI systems and product outcomes.

 

Nice to have:

 

- Experience shipping AI-heavy consumer products.

- Background as an engineer or highly technical product manager.

- Experience defining evaluation metrics for Machine Learning (ML) systems.

- Strong intuition for Artificial Intelligence (AI) UX patterns and failure handling.

- Prior experience in zero-to-one product environments.

 

Benefits include medical insurance Dental Vision Savings Plan Options PTO etc.

 

Keywords:  San Francisco CA Jobs AI Artificial Intelligence AI Email Applications LLM Large Language Model ML Machine Learning Product Engineer UX User Experience Work From Home Remote California Recruiters IT Jobs California Recruiting

 

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Additional Information :

All your information will be kept confidential according to EEO guidelines.


Remote Work :

Yes


Employment Type :

Full-time