Lattice

Lattice

Engineering Manager, AI

Remote (Worldwide)RemotePosted Today$187,500 – $234,500
Full TimeSeniorRemote

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Job Description

This is Engineering at LatticeLattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. As AI becomes fundamental to every product exp

Key Highlights

  • Lead, coach, and grow a high-performing team of AI and software engineers, developing them into strong technical leaders while fostering a culture of ownership, technical excellence, experimentation, and continuous learning.
  • Own the execution and delivery of the AI Platform roadmap, balancing near-term product impact with long-term platform investments.
  • Partner closely with Product, Applied AI, Data Science, and engineering leaders to define how AI quality is measured, evaluated, and continuously improved across Lattice.
  • Lead the development of AI evaluation infrastructure, quality metrics, experimentation capabilities, observability, and developer tooling that enable every AI product team to confidently build, evaluate, and ship AI experiences.
  • Drive technical and organizational decisions that improve the scalability, reliability, and adoption of the AI Platform, empowering engineers to own architecture and technical solutions.

Qualifications

Preferred Qualifications

  • Experience building AI evaluation frameworks, experimentation platforms, or ML infrastructure.
  • Knowledge of statistical experimentation, A/B model testing, offline evaluations, or model benchmarking.
  • Familiarity with advanced AI optimization techniques such as Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine-tuning, or preference learning.
  • Experience building internal platforms and services adopted across multiple engineering teams.
  • Experience building AI evaluation frameworks, experimentation platforms, or ML infrastructure.
  • Knowledge of statistical experimentation, A/B model testing, offline evaluations, or model benchmarking.
  • Familiarity with advanced AI optimization techniques such as Direct Preference Optimization (DPO), Reinforcement Learning from Human Feedback (RLHF), model fine-tuning, or preference learning.
  • Experience building internal platforms and services adopted across multiple engineering teams.

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Job Details

Employment Type

Full Time

Experience Level

Senior

Salary Range

$187,500 – $234,500

Location

Remote (Worldwide)

Work Mode

Remote

Posted

Today