Engineering Manager - AI
To see similar active jobs please follow this link: Remote Management jobs
This is Engineering at Lattice
Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. We leverage a modern tech stack designed for productivity and joy, prioritizing maintainable, robust, and performant code. Our culture emphasizes collaboration, iteration, and innovation, working closely with designers and product managers to deliver exceptional technical architecture and user experiences.
What You Will Do
As a Manager, you will lead a team of engineers dedicated to building impactful AI solutions. Your role will combine technical expertise, architectural leadership, and people management to shape our AI initiatives and drive organizational success for the Lattice people platform. In detail, you will:
Translate company strategy into actionable team goals and objectives, aligning technical initiatives with organizational priorities.
Manage, coach and inspire a team of 5-10 engineers, fostering a culture of collaboration, innovation, learning and growth.
Mentor and coach engineers, promoting technical growth and aligning their development with team & company objectives.
Drive business and architecture decisions by keeping up with emerging trends in generative AI, reinforcement learning, or multi-agent systems.
Lead the design and development of AI solutions, with a strong focus on large language models (LLMs) and machine learning.
Provide hands-on technical guidance to the team, including model development, integration, and optimization.
Drive end-to-end delivery of AI/ML projects, with architecture decisions that ensure cost-efficiency, scalability, reliability, security and business impact.
Bring a relentless passion for continuous improvement for both engineering craft and processes.
Build an inclusive and psychologically safe team environment, fostering diverse perspectives and innovation.
What You Will Bring to the Table
8+ years of professional experience in software engineering, with at least 3 years in managing engineering teams.
Proven ability to inspire, mentor, and develop high-performing teams.
Track record of aligning technical work with organizational goals and driving impactful outcomes.
Exceptional verbal and written communication skills, with an adjustable style to executives, engineers and non technical staff.
Ability to navigate complex discussions and build consensus across departments.
Hands-on experience designing and deploying scalable AI/ML solutions, particularly LLMs, in production environments.
Proficiency in Python, AI/ML frameworks such as TensorFlow, Transformers, LangChain, etc), and LLM techniques such as prompt engineering, RAG, Fine tuning, etc.
Strong knowledge of cloud platforms, preferably AWS, infrastructure tools like Docker and Kubernetes.
Strong knowledge of AIOps tools such as Docker, Kubernetes, Terraform/CDK, MLflow, and DataDog for deployment, monitoring, and CI/CD workflows.
Nice to Have
Familiarity with hybrid solutions combining traditional ML and LLMs, or multi-agent systems.
Experience with cloud-based AI services (AWS SageMaker, Google Cloud AI, Azure Machine Learning)
Experience with TypeScript / Javascript as it is our current programming language (Our current stack includes NodeJS, GraphQL, and PostgreSQL. We rely on AWS to host our infrastructure)
Published research or professional presentations on AI topics.
Proficiency in multi-cloud environments (AWS, Azure, GCP).
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; Workplace Amenities Stipend, Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning & Development Budget; Sabbatical Program; and Invest in Your People Fund
*Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by state 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.
About the job
Engineering Manager - AI
To see similar active jobs please follow this link: Remote Management jobs
This is Engineering at Lattice
Lattice's Engineering team is dedicated to building cutting-edge solutions that empower people and organizations to thrive. We leverage a modern tech stack designed for productivity and joy, prioritizing maintainable, robust, and performant code. Our culture emphasizes collaboration, iteration, and innovation, working closely with designers and product managers to deliver exceptional technical architecture and user experiences.
What You Will Do
As a Manager, you will lead a team of engineers dedicated to building impactful AI solutions. Your role will combine technical expertise, architectural leadership, and people management to shape our AI initiatives and drive organizational success for the Lattice people platform. In detail, you will:
Translate company strategy into actionable team goals and objectives, aligning technical initiatives with organizational priorities.
Manage, coach and inspire a team of 5-10 engineers, fostering a culture of collaboration, innovation, learning and growth.
Mentor and coach engineers, promoting technical growth and aligning their development with team & company objectives.
Drive business and architecture decisions by keeping up with emerging trends in generative AI, reinforcement learning, or multi-agent systems.
Lead the design and development of AI solutions, with a strong focus on large language models (LLMs) and machine learning.
Provide hands-on technical guidance to the team, including model development, integration, and optimization.
Drive end-to-end delivery of AI/ML projects, with architecture decisions that ensure cost-efficiency, scalability, reliability, security and business impact.
Bring a relentless passion for continuous improvement for both engineering craft and processes.
Build an inclusive and psychologically safe team environment, fostering diverse perspectives and innovation.
What You Will Bring to the Table
8+ years of professional experience in software engineering, with at least 3 years in managing engineering teams.
Proven ability to inspire, mentor, and develop high-performing teams.
Track record of aligning technical work with organizational goals and driving impactful outcomes.
Exceptional verbal and written communication skills, with an adjustable style to executives, engineers and non technical staff.
Ability to navigate complex discussions and build consensus across departments.
Hands-on experience designing and deploying scalable AI/ML solutions, particularly LLMs, in production environments.
Proficiency in Python, AI/ML frameworks such as TensorFlow, Transformers, LangChain, etc), and LLM techniques such as prompt engineering, RAG, Fine tuning, etc.
Strong knowledge of cloud platforms, preferably AWS, infrastructure tools like Docker and Kubernetes.
Strong knowledge of AIOps tools such as Docker, Kubernetes, Terraform/CDK, MLflow, and DataDog for deployment, monitoring, and CI/CD workflows.
Nice to Have
Familiarity with hybrid solutions combining traditional ML and LLMs, or multi-agent systems.
Experience with cloud-based AI services (AWS SageMaker, Google Cloud AI, Azure Machine Learning)
Experience with TypeScript / Javascript as it is our current programming language (Our current stack includes NodeJS, GraphQL, and PostgreSQL. We rely on AWS to host our infrastructure)
Published research or professional presentations on AI topics.
Proficiency in multi-cloud environments (AWS, Azure, GCP).
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; Workplace Amenities Stipend, Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning & Development Budget; Sabbatical Program; and Invest in Your People Fund
*Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by state 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.