핵심 요구사항
- 고성과 소프트웨어 엔지니어링 팀 리딩·채용·코칭 경험
- LLM/AI 에이전트, 분산 시스템, 개발자 플랫폼 구축 팀을 이끈 강력한 기술 배경
- 품질·신뢰성·확장성이 중요한 엔터프라이즈 SaaS AI 제품 구축 경험
- 전략부터 실행까지 크로스펑셔널 이니셔티브 리딩 능력
- 뛰어난 커뮤니케이션 및 이해관계자 관리 역량
- 제품·플랫폼 마인드셋과 아키텍처·설계·코드 리뷰 기여
Required stack
필요 기술
LLMAI AgentsDistributed SystemsEnterprise SaaSDeveloper PlatformsAI EvaluationObservability
Project brief
프로젝트 내용
Headquarters: Remote - US
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.
To apply: https://weworkremotely.com/remote-jobs/lattice-engineering-manager-ai
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.
To apply: https://weworkremotely.com/remote-jobs/lattice-engineering-manager-ai
지원 기회 분석
지원 전에 볼 것
예상 산출물
- AI 평가 인프라 및 품질 메트릭 시스템
- 실험·관측성·개발자 도구 플랫폼
- AI 플랫폼 로드맵 실행 및 조직 성장
매력 포인트
- 완전 원격(US) 근무
- 최첨단 AI 플랫폼을 이끄는 임팩트 큰 리더십 포지션
- AI 품질·평가라는 성장 분야 핵심 역할
확인할 점
- 예산·급여 정보 미기재
- 설명이 중간에 잘림('AI eva'에서 끊김)
Client signal
클라이언트 정보
플랫폼에서 상세 정보를 확인하세요.