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Engineering Manager, AI

Lattice
Full TimemanagerRemote
Remote - USRemotePosted 15 days ago

Role Overview

Lattice is hiring a Engineering Manager, AI. This is a full-time remote role, with the team based in Remote - US. posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

This is Engineering at Lattice

Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. As AI becomes fundamental to every product experience, ensuring those systems are trustworthy, measurable, and continuously improving is one of the company's most important engineering challenges.

The AI Intelligence Quality (IQ) team owns that challenge. We build the AI Platform that enables every AI team at Lattice to measure quality, detect regressions, run experiments, and continuously improve AI performance with confidence. The platform you lead won't power a single product—it will shape the quality of every AI experience we deliver, becoming a foundational capability for how AI is built at Lattice.

What You Will Do

  • 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.
  • Build strong cross-functional partnerships and influence engineering strategy to establish AI evaluations as a foundational capability that accelerates AI development across Lattice.

What You Will Bring to the Table

  • Experience leading and growing high-performing software engineering teams, with a track record of hiring, coaching, and developing engineers into strong technical leaders.
  • Strong technical background leading teams that build AI infrastructure, AI-powered products leveraging Large Language Models (LLMs) and/or AI agents, distributed systems, or developer platforms. You are a highly technical engineering leader who leads by example—contributing to architecture, design reviews, and code reviews, diving into implementation details when needed, and raising the technical bar across the team.
  • Experience building enterprise SaaS AI products where quality, trust, reliability, and scalability are critical to customer success.
  • Proven ability to lead complex cross-functional initiatives from strategy through execution, partnering effectively with Product, Applied AI, Data Science, and Engineering to deliver business impact.
  • Excellent communication and stakeholder management skills, with the ability to create clarity, align teams, and influence technical direction in fast-moving, ambiguous environments.
  • A strong product and platform mindset, balancing customer impact, engineering velocity, operational excellence, and long-term technical investments.
  • A leadership style grounded in curiosity, humility, ownership, and continuous learning, with a passion for building exceptional engineering teams and delivering high-quality AI products.

Nice to Have

  • 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.

#LI-remote

The estimated annual cash salary for this role is $187,500 - $234,500. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter & Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; and Learning & Development Budget.

Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.

About Lattice

Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies.

Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. 


Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.

By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with Lattice's Job Applicant Privacy Policy.

About Lattice

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Lattice

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Frequently Asked Questions

How do I apply for the Engineering Manager, AI position at Lattice?

Use the Apply button above to submit your application directly to Lattice. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Engineering Manager, AI role at Lattice remote?

Yes. This is a remote role. The team is based in Remote - US, but the position itself does not require relocating to that office.

What does a Engineering Manager, AI at Lattice earn?

Lattice has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Engineering Manager, AI role at Lattice posted?

This role was posted on July 7, 2026 (15 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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