Engineering Tech Lead, AI Product (Remote - North America)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Engineering Tech Lead, AI Product in North America.

As an Engineering Tech Lead, you will spearhead the development of advanced AI-driven features, shaping the future of browser-based products. You will lead a talented team of engineers, translating complex product goals into elegant technical solutions while driving high-quality implementation of LLM-powered features. This role combines strategic vision with hands-on execution, allowing you to influence architecture, technical direction, and AI product design. You will collaborate closely with product teams to enhance AI performance, experiment with cutting-edge models, and implement innovative memory and agentic capabilities. The position offers full autonomy in a remote-first environment, fostering creativity, rapid iteration, and a user-focused approach. You will mentor engineers, promote best practices, and ensure that every feature delivered maximizes user impact and business value.

Accountabilities:

• Lead the design, development, and execution of LLM-powered AI features, ensuring alignment with product goals and user impact.
• Define and evolve technical architecture, system design, and engineering standards for scalable AI products.
• Mentor and support a team of product and machine learning engineers, fostering technical growth and a product mindset.
• Build and refine AI quality systems and evaluation processes to enhance model performance and reliability.
• Integrate and experiment with the latest AI models, fine-tuning for real-world use cases while balancing speed, quality, and scale.
• Drive process improvements across engineering practices, focusing on performance, maintainability, and efficient delivery.
• Ensure high-quality, interaction-rich user experiences, paying attention to detail and technical craftsmanship.

• 8+ years of experience building and leading high-quality software products, including experience with user-facing applications or AI features from 0-1.
• Hands-on experience with LLMs, understanding their capabilities, limitations, and integration into products.
• Strong track record of coaching, mentoring, and guiding engineers.
• Experience tackling ambiguous problems and leading complex technical projects with measurable business impact.
• Pragmatic, product-minded, and comfortable working in a fast-paced startup environment with rapid validation cycles.
• Ability to collaborate across teams in North American time zones, with 4+ hours overlap with Eastern Time.
• Strong communication skills, strategic thinking, and alignment with company values to scale the team effectively.

• Competitive total compensation package including base salary ($250,000–$310,000 USD) and equity.
• Remote-first role with flexibility to work from North America or a company office.
• Health, wellness, and family support benefits.
• Opportunities for professional development and technical growth.
• Collaborative and inclusive work environment with a focus on innovation and creativity.
• Participation in shaping cutting-edge AI products with high user impact.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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