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Engineering Tech Lead, AI Product (Remote - Namer)
Engineering Tech Lead, AI Product (Remote - Namer)Jobgetherย โ€ขย US
Engineering Tech Lead, AI Product (Remote - Namer)

Engineering Tech Lead, AI Product (Remote - Namer)

Jobgetherย โ€ขย US
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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 .

This role offers a unique opportunity to lead the development of cutting-edge AI features in a remote-first, high-impact environment. You will drive the technical vision for AI-powered products, transforming complex ideas into user-centered solutions while mentoring a talented team of engineers. The position blends hands-on engineering with architectural leadership, allowing you to shape the roadmap, optimize performance, and introduce innovative approaches to browser-based AI. You will work closely with cross-functional teams to experiment with large language models, memory systems, and agentic capabilities, ensuring every feature is grounded in real-world use and business value. This is ideal for a product-minded engineer who thrives on ambiguity, iteration, and building scalable AI products that redefine user experiences.

Accountabilities

  • Lead, architect, and deliver LLM-powered features, ensuring high impact on user experience and business outcomes.
  • Define and evolve technical architecture, guiding decisions on software design, infrastructure, and system scalability.
  • Mentor and coach a team of product and machine learning engineers, fostering technical growth and a product-oriented mindset.
  • Collaborate with cross-functional teams to integrate AI models, memory systems, and agentic features into real-world use cases.
  • Build and refine evaluation systems to continuously improve AI model quality, performance, and reliability.
  • Implement engineering-wide processes that enhance stability, maintainability, and operational efficiency.
  • Contribute to roadmap planning for innovative AI features, balancing experimentation with user-centered design.
  • Sweat the details to ensure high-craft, interaction-rich experiences that set industry standards.

Requirements

  • 8+ years of experience building and leading high-quality software products, including AI-powered features.
  • Hands-on experience with large language models and practical understanding of their technical and operational considerations.
  • Proven track record of coaching, mentoring, and scaling engineering teams.
  • Demonstrated ability to solve ambiguous technical problems and deliver impactful projects.
  • Strong product mindset, capable of translating complex ideas into practical, user-focused solutions.
  • Experience with fast iteration cycles and startup-style validation processes.
  • Excellent communication and collaboration skills to work with remote, distributed teams.
  • Availability for at least 4+ hours overlap with North American Eastern Time Zone.
  • Benefits

  • Competitive total compensation package including base salary ($250,000โ€“$310,000 USD) and equity.
  • Remote-first work environment with optional office presence in New York, USA.
  • Comprehensive benefits and perks designed to support personal, family, and community engagement.
  • Opportunity to shape innovative AI products and influence the engineering culture at a fast-growing startup.
  • Work alongside a highly skilled, mission-driven, and diverse team.
  • Exposure to state-of-the-art AI models, experimental features, and next-generation browser technologies.
  • 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.

    ๐Ÿ” Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    ๐Ÿ“Š It compares your profile to the jobโ€™s core requirements and past success factors to determine your match score.

    ๐ŸŽฏ Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

    ๐Ÿง  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 โ€” 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!

    #LI-CL1

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