Product Engineer, AI Email Applications, Artificial Intelligence

Job not on LinkedIn

🕒 September 22

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $150k - $185k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Parallel Partners

WebsiteLinkedInAll Job Openings

1 - 10 employees

💳 Fintech

🤝 B2B

Fintech • B2B

Parallel Partners is a staffing firm specializing in the recruitment of information technology personnel for direct hire positions within the financial services and trading industries. Established in 1995 and headquartered in Chicago, they cater to clients such as international hedge funds, proprietary trading firms, investment banks, online brokerages, and trading software product vendors. Acquired by Next Step Systems in 2014, Parallel Partners focuses on placing high-frequency trading systems and algorithmic trading specialists, as well as providing expertise in financial engineering and risk management.

📋 Description

• 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

• 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

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