Product Engineer, AI Email Applications, Artificial Intelligence

Parallel Partners

. Define end-to-end requirements for AI capabilities, from model behavior to system behavior to user experience .

Posted 9/22/2026full-timeRemote • Illinois • United StatesMid-LevelSenior💰 $150,000 - $185,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Artificial Intelligence (AI) and Machine Learning (ML) with a strong foundation in system design and product management. Capable of defining end-to-end requirements, driving execution, and ensuring product quality while aligning AI strategies with user needs.

Highest-signal resume keywords

Artificial Intelligence (AI) ExperienceMachine Learning (ML) ExperienceSystem Design SkillsModel Evaluation and ExperimentationProduct Ownership End-to-End

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model EvaluationAI System IterationTechnical Design UnderstandingEvaluation FrameworksUser Experience (UX) DesignProduct Quality AssuranceComplex Product ManagementAI-Powered Product DevelopmentFailure Mode AnalysisSpecification Development

Soft Skills

Strong JudgmentCollaborationCuriosityDecision-MakingAdaptability

Industry Keywords

AI-Powered Consumer ProductsZero-to-One Product DevelopmentTechnical Product ManagementUser TrustFeedback Loops

About the role

Key responsibilities & impact

Define end-to-end requirements for 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 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 AI systems behave predictably and recover gracefully
Own product quality end-to-end, including correctness, reliability, usefulness, and user trust
Align AI product strategy with user needs and company priorities
Deliver understandable, predictable, and trusted AI features
Clarify roadmaps and priorities and iterate based on real user feedback
Align teams to execute AI product goals with minimal friction

Requirements

What you’ll need

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 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
Must be willing to take a 60 minute coding assessment
Experience shipping AI-heavy consumer products (nice to have)
Background as an engineer or highly technical product manager (nice to have)
Experience defining evaluation metrics for ML systems (nice to have)
Strong intuition for AI UX patterns and failure handling (nice to have)
Prior experience in zero-to-one product environments (nice to have)

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
Savings Plan Options
PTO
Remote work