[Hiring] Technical Product Lead @Ginas Tech Jobs

Role Description

As Technical Product Lead, AI Email Applications, you will work at the intersection of user needs, model capability, and engineering constraints. The Technical Product Lead 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.

This position is 100% Remote. MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.

Technical Product Lead 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.

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.

Requirements

• 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 Machine Learning (ML) systems (Nice to have).
• Strong intuition for Artificial Intelligence (AI) UX patterns and failure handling (Nice to have).
• Prior experience in zero-to-one product environments (Nice to have).

Benefits

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